research paper on school activities

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Committee on Physical Activity and Physical Education in the School Environment; Food and Nutrition Board; Institute of Medicine; Kohl HW III, Cook HD, editors. Educating the Student Body: Taking Physical Activity and Physical Education to School. Washington (DC): National Academies Press (US); 2013 Oct 30.

Educating the Student Body: Taking Physical Activity and Physical Education to School.

• Hardcopy Version at National Academies Press

4 Physical Activity, Fitness, and Physical Education: Effects on Academic Performance

Key messages.

• Evidence suggests that increasing physical activity and physical fitness may improve academic performance and that time in the school day dedicated to recess, physical education class, and physical activity in the classroom may also facilitate academic performance.
• Available evidence suggests that mathematics and reading are the academic topics that are most influenced by physical activity. These topics depend on efficient and effective executive function, which has been linked to physical activity and physical fitness.
• Executive function and brain health underlie academic performance. Basic cognitive functions related to attention and memory facilitate learning, and these functions are enhanced by physical activity and higher aerobic fitness.
• Single sessions of and long-term participation in physical activity improve cognitive performance and brain health. Children who participate in vigorous- or moderate-intensity physical activity benefit the most.
• Given the importance of time on task to learning, students should be provided with frequent physical activity breaks that are developmentally appropriate.
• Although presently understudied, physically active lessons offered in the classroom may increase time on task and attention to task in the classroom setting.

Although academic performance stems from a complex interaction between intellect and contextual variables, health is a vital moderating factor in a child's ability to learn. The idea that healthy children learn better is empirically supported and well accepted ( Basch, 2010 ), and multiple studies have confirmed that health benefits are associated with physical activity, including cardiovascular and muscular fitness, bone health, psychosocial outcomes, and cognitive and brain health ( Strong et al., 2005 ; see Chapter 3 ). The relationship of physical activity and physical fitness to cognitive and brain health and to academic performance is the subject of this chapter.

Given that the brain is responsible for both mental processes and physical actions of the human body, brain health is important across the life span. In adults, brain health, representing absence of disease and optimal structure and function, is measured in terms of quality of life and effective functioning in activities of daily living. In children, brain health can be measured in terms of successful development of attention, on-task behavior, memory, and academic performance in an educational setting. This chapter reviews the findings of recent research regarding the contribution of engagement in physical activity and the attainment of a health-enhancing level of physical fitness to cognitive and brain health in children. Correlational research examining the relationship among academic performance, physical fitness, and physical activity also is described. Because research in older adults has served as a model for understanding the effects of physical activity and fitness on the developing brain during childhood, the adult research is briefly discussed. The short- and long-term cognitive benefits of both a single session of and regular participation in physical activity are summarized.

Before outlining the health benefits of physical activity and fitness, it is important to note that many factors influence academic performance. Among these are socioeconomic status ( Sirin, 2005 ), parental involvement ( Fan and Chen, 2001 ), and a host of other demographic factors. A valuable predictor of student academic performance is a parent having clear expectations for the child's academic success. Attendance is another factor confirmed as having a significant impact on academic performance ( Stanca, 2006 ; Baxter et al., 2011 ). Because children must be present to learn the desired content, attendance should be measured in considering factors related to academic performance.

• PHYSICAL FITNESS AND PHYSICAL ACTIVITY: RELATION TO ACADEMIC PERFORMANCE

State-mandated academic achievement testing has had the unintended consequence of reducing opportunities for children to be physically active during the school day and beyond. In addition to a general shifting of time in school away from physical education to allow for more time on academic subjects, some children are withheld from physical education classes or recess to participate in remedial or enriched learning experiences designed to increase academic performance ( Pellegrini and Bohn, 2005 ; see Chapter 5 ). Yet little evidence supports the notion that more time allocated to subject matter will translate into better test scores. Indeed, 11 of 14 correlational studies of physical activity during the school day demonstrate a positive relationship to academic performance ( Rasberry et al., 2011 ). Overall, a rapidly growing body of work suggests that time spent engaged in physical activity is related not only to a healthier body but also to a healthier mind ( Hillman et al., 2008 ).

Children respond faster and with greater accuracy to a variety of cognitive tasks after participating in a session of physical activity ( Tomporowski, 2003 ; Budde et al., 2008 ; Hillman et al., 2009 ; Pesce et al., 2009 ; Ellemberg and St-Louis-Deschênes, 2010 ). A single bout of moderate-intensity physical activity has been found to increase neural and behavioral concomitants associated with the allocation of attention to a specific cognitive task ( Hillman et al., 2009 ; Pontifex et al., 2012 ). And when children who participated in 30 minutes of aerobic physical activity were compared with children who watched television for the same amount of time, the former children cognitively outperformed the latter ( Ellemberg and St-Louis-Desêhenes, 2010 ). Visual task switching data among 69 overweight and inactive children did not show differences between cognitive performance after treadmill walking and sitting ( Tomporowski et al., 2008b ).

When physical activity is used as a break from academic learning time, postengagement effects include better attention ( Grieco et al., 2009 ; Bartholomew and Jowers, 2011 ), increased on-task behaviors ( Mahar et al., 2006 ), and improved academic performance ( Donnelly and Lambourne, 2011 ). Comparisons between 1st-grade students housed in a classroom with stand-sit desks where the child could stand at his/her discretion and in classrooms containing traditional furniture showed that the former children were highly likely to stand, thus expending significantly more energy than those who were seated ( Benden et al., 2011 ). More important, teachers can offer physical activity breaks as part of a supplemental curriculum or simply as a way to reset student attention during a lesson ( Kibbe et al., 2011 ; see Chapter 6 ) and when provided with minimal training can efficaciously produce vigorous or moderate energy expenditure in students ( Stewart et al., 2004 ). Further, after-school physical activity programs have demonstrated the ability to improve cardiovascular endurance, and this increase in aerobic fitness has been shown to mediate improvements in academic performance ( Fredericks et al., 2006 ), as well as the allocation of neural resources underlying performance on a working memory task ( Kamijo et al., 2011 ).

Over the past three decades, several reviews and meta-analyses have described the relationship among physical fitness, physical activity, and cognition (broadly defined as all mental processes). The majority of these reviews have focused on the relationship between academic performance and physical fitness—a physiological trait commonly defined in terms of cardiorespiratory capacity (e.g., maximal oxygen consumption; see Chapter 3 ). More recently, reviews have attempted to describe the effects of an acute or single bout of physical activity, as a behavior, on academic performance. These reviews have focused on brain health in older adults ( Colcombe and Kramer, 2003 ), as well as the effects of acute physical activity on cognition in adults ( Tomporowski, 2003 ). Some have considered age as part of the analysis ( Etnier et al., 1997 , 2006 ). Reviews focusing on research conducted in children ( Sibley and Etnier, 2003 ) have examined the relationship among physical activity, participation in sports, and academic performance ( Trudeau and Shephard, 2008 , 2010 ; Singh et al., 2012 ); physical activity and mental and cognitive health ( Biddle and Asare, 2011 ); and physical activity, nutrition, and academic performance ( Burkhalter and Hillman, 2011 ). The findings of most of these reviews align with the conclusions presented in a meta-analytic review conducted by Fedewa and Ahn (2011) . The studies reviewed by Fedewa and Ahn include experimental/quasi-experimental as well as cross-sectional and correlational designs, with the experimental designs yielding the highest effect sizes. The strongest relationships were found between aerobic fitness and achievement in mathematics, followed by IQ and reading performance. The range of cognitive performance measures, participant characteristics, and types of research design all mediated the relationship among physical activity, fitness, and academic performance. With regard to physical activity interventions, which were carried out both within and beyond the school day, those involving small groups of peers (around 10 youth of a similar age) were associated with the greatest gains in academic performance.

The number of peer-reviewed publications on this topic is growing exponentially. Further evidence of the growth of this line of inquiry is its increased global presence. Positive relationships among physical activity, physical fitness, and academic performance have been found among students from the Netherlands ( Singh et al., 2012 ) and Taiwan ( Chih and Chen, 2011 ). Broadly speaking, however, many of these studies show small to moderate effects and suffer from poor research designs ( Biddle and Asare, 2011 ; Singh et al., 2012 ).

Basch (2010) conducted a comprehensive review of how children's health and health disparities influence academic performance and learning. The author's report draws on empirical evidence suggesting that education reform will be ineffective unless children's health is made a priority. Basch concludes that schools may be the only place where health inequities can be addressed and that, if children's basic health needs are not met, they will struggle to learn regardless of the effectiveness of the instructional materials used. More recently, Efrat (2011) conducted a review of physical activity, fitness, and academic performance to examine the achievement gap. He discovered that only seven studies had included socioeconomic status as a variable, despite its known relationship to education ( Sirin, 2005 ).

Physical Fitness as a Learning Outcome of Physical Education and Its Relation to Academic Performance

Achieving and maintaining a healthy level of aerobic fitness, as defined using criterion-referenced standards from the National Health and Nutrition Examination Survey (NHANES; Welk et al., 2011 ), is a desired learning outcome of physical education programming. Regular participation in physical activity also is a national learning standard for physical education, a standard intended to facilitate the establishment of habitual and meaningful engagement in physical activity ( NASPE, 2004 ). Yet although physical fitness and participation in physical activity are established as learning outcomes in all 50 states, there is little evidence to suggest that children actually achieve and maintain these standards (see Chapter 2 ).

Statewide and national datasets containing data on youth physical fitness and academic performance have increased access to student-level data on this subject ( Grissom, 2005 ; Cottrell et al., 2007 ; Carlson et al., 2008 ; Chomitz et al., 2008 ; Wittberg et al., 2010 ; Van Dusen et al., 2011 ). Early research in South Australia focused on quantifying the benefits of physical activity and physical education during the school day; the benefits noted included increased physical fitness, decreased body fat, and reduced risk for cardiovascular disease ( Dwyer et al., 1979 , 1983 ). Even today, Dwyer and colleagues are among the few scholars who regularly include in their research measures of physical activity intensity in the school environment, which is believed to be a key reason why they are able to report differentiated effects of different intensities. A longitudinal study in Trois-Rivières, Québec, Canada, tracked how the academic performance of children from grades 1 through 6 was related to student health, motor skills, and time spent in physical education. The researchers concluded that additional time dedicated to physical education did not inhibit academic performance ( Shephard et al., 1984 ; Shephard, 1986 ; Trudeau and Shephard, 2008 ).

Longitudinal follow-up investigating the long-term benefits of enhanced physical education experiences is encouraging but largely inconclusive. In a study examining the effects of daily physical education during elementary school on physical activity during adulthood, 720 men and women completed the Québec Health Survey ( Trudeau et al., 1999 ). Findings suggest that physical education was associated with physical activity in later life for females but not males ( Trudeau et al., 1999 ); most of the associations were significant but weak ( Trudeau et al., 2004 ). Adult body mass index (BMI) at age 34 was related to childhood BMI at ages 10-12 in females but not males ( Trudeau et al., 2001 ). Longitudinal studies such as those conducted in Sweden and Finland also suggest that physical education experiences may be related to adult engagement in physical activity ( Glenmark, 1994 ; Telama et al., 1997 ). From an academic performance perspective, longitudinal data on men who enlisted for military service imply that cardiovascular fitness at age 18 predicted cognitive performance in later life (Aberg et al., 2009), thereby supporting the idea of offering physical education and physical activity opportunities well into emerging adulthood through secondary and postsecondary education.

Castelli and colleagues (2007) investigated younger children (in 3rd and 5th grades) and the differential contributions of the various subcomponents of the Fitnessgram ® . Specifically, they examined the individual contributions of aerobic capacity, muscle strength, muscle flexibility, and body composition to performance in mathematics and reading on the Illinois Standardized Achievement Test among a sample of 259 children. Their findings corroborate those of the California Department of Education ( Grissom, 2005 ), indicating a general relationship between fitness and achievement test performance. When the individual components of the Fitnessgram were decomposed, the researchers determined that only aerobic capacity was related to test performance. Muscle strength and flexibility showed no relationship, while an inverse association of BMI with test performance was observed, such that higher BMI was associated with lower test performance. Although Baxter and colleagues (2011) confirmed the importance of attending school in relation to academic performance through the use of 4th-grade student recall, correlations with BMI were not significant.

State-mandated implementation of the coordinated school health model requires all schools in Texas to conduct annual fitness testing using the Fitnessgram among students in grades 3-12. In a special issue of Research Quarterly for Exercise and Sport (2010), multiple articles describe the current state of physical fitness among children in Texas; confirm the associations among school performance levels, academic achievement, and physical fitness ( Welk et al., 2010 ; Zhu et al., 2010 ); and demonstrate the ability of qualified physical education teachers to administer physical fitness tests ( Zhu et al., 2010 ). Also using data from Texas schools, Van Dusen and colleagues (2011) found that cardiovascular fitness had the strongest association with academic performance, particularly in mathematics over reading. Unlike previous research, which demonstrated a steady decline in fitness by developmental stage ( Duncan et al., 2007 ), this study found that cardiovascular fitness did decrease but not significantly ( Van Dusen et al., 2011 ). Aerobic fitness, then, may be important to academic performance, as there may be a dose-response relationship ( Van Dusen et al., 2011 ).

Using a large sample of students in grades 4-8, Chomitz and colleagues (2008) found that the likelihood of passing both mathematics and English achievement tests increased with the number of fitness tests passed during physical education class, and the odds of passing the mathematics achievement tests were inversely related to higher body weight. Similar to the findings of Castelli and colleagues (2007) , socioeconomic status and demographic factors explained little of the relationship between aerobic fitness and academic performance; however, socioeconomic status may be an explanatory variable for students of low fitness ( London and Castrechini, 2011 ).

In sum, numerous cross-sectional and correlational studies demonstrate small-to-moderate positive or null associations between physical fitness ( Grissom, 2005 ; Cottrell et al., 2007 ; Edwards et al., 2009; Eveland-Sayers et al., 2009 ; Cooper et al., 2010 ; Welk et al., 2010 ; Wittberg et al., 2010 ; Zhu et al., 2010 ; Van Dusen et al., 2011 ), particularly aerobic fitness, and academic performance ( Castelli et al, 2007 ; Chomitz et al., 2008 ; Roberts et al., 2010 ; Welk et al., 2010 ; Chih and Chen, 2011 ; London and Castrechini, 2011 ; Van Dusen et al., 2011 ). Moreover, the findings may support a dose-response association, suggesting that the more components of physical fitness (e.g., cardiovascular endurance, strength, muscle endurance) considered acceptable for the specific age and gender that are present, the greater the likelihood of successful academic performance. From a public health and policy standpoint, the conclusions these findings support are limited by few causal inferences, a lack of data confirmation, and inadequate reliability because the data were often collected by nonresearchers or through self-report methods. It may also be noted that this research includes no known longitudinal studies and few randomized controlled trials (examples are included later in this chapter in the discussion of the developing brain).

Physical Activity, Physical Education, and Academic Performance

In contrast with the correlational data presented above for physical fitness, more information is needed on the direct effects of participation in physical activity programming and physical education classes on academic performance.

In a meta-analysis, Sibley and Etnier (2003) found a positive relationship between physical activity and cognition in school-age youth (aged 4-18), suggesting that physical activity, as well as physical fitness, may be related to cognitive outcomes during development. Participation in physical activity was related to cognitive performance in eight measurement categories (perceptual skills, IQ, achievement, verbal tests, mathematics tests, memory, developmental level/academic readiness, and “other”), with results indicating a beneficial relationship of physical activity to all cognitive outcomes except memory ( Sibley and Etnier, 2003 ). Since that meta-analysis, however, several papers have reported robust relationships between aerobic fitness and different aspects of memory in children (e.g., Chaddock et al., 2010a , 2011 ; Kamijo et al., 2011 ; Monti et al., 2012 ). Regardless, the comprehensive review of Sibley and Etnier (2003) was important because it helped bring attention to an emerging literature suggesting that physical activity may benefit cognitive development even as it also demonstrated the need for further study to better understand the multifaceted relationship between physical activity and cognitive and brain health.

The regular engagement in physical activity achieved during physical education programming can also be related to academic performance, especially when the class is taught by a physical education teacher. The Sports, Play, and Active Recreation for Kids (SPARK) study examined the effects of a 2-year health-related physical education program on academic performance in children ( Sallis et al., 1999 ). In an experimental design, seven elementary schools were randomly assigned to one of three conditions: (1) a specialist condition in which certified physical education teachers delivered the SPARK curriculum, (2) a trained-teacher condition in which classroom teachers implemented the curriculum, and (3) a control condition in which classroom teachers implemented the local physical education curriculum. No significant differences by condition were found for mathematics testing; however, reading scores were significantly higher in the specialist condition relative to the control condition ( Sallis et al., 1999 ), while language scores were significantly lower in the specialist condition than in the other two conditions. The authors conclude that spending time in physical education with a specialist did not have a negative effect on academic performance. Shortcomings of this research include the amount of data loss from pre- to posttest, the use of results of 2nd-grade testing that exceeded the national average in performance as baseline data, and the use of norm-referenced rather than criterion-based testing.

In seminal research conducted by Gabbard and Barton (1979) , six different conditions of physical activity (no activity; 20, 30, 40, and 50 minutes; and posttest no activity) were completed by 106 2nd graders during physical education. Each physical activity session was followed by 5 minutes of rest and the completion of 36 math problems. The authors found a potential threshold effect whereby only the 50-minute condition improved mathematical performance, with no differences by gender.

A longitudinal study of the kindergarten class of 1998–1999, using data from the Early Childhood Longitudinal Study, investigated the association between enrollment in physical education and academic achievement ( Carlson et al., 2008 ). Higher amounts of physical education were correlated with better academic performance in mathematics among females, but this finding did not hold true for males.

Ahamed and colleagues (2007) found in a cluster randomized trial that, after 16 months of a classroom-based physical activity intervention, there was no significant difference between the treatment and control groups in performance on the standardized Cognitive Abilities Test, Third Edition (CAT-3). Others have found, however, that coordinative exercise ( Budde et al., 2008 ) or bouts of vigorous physical activity during free time ( Coe et al., 2006 ) contribute to higher levels of academic performance. Specifically, Coe and colleagues examined the association of enrollment in physical education and self-reported vigorous- or moderate-intensity physical activity outside school with performance in core academic courses and on the Terra Nova Standardized Achievement Test among more than 200 6th-grade students. Their findings indicate that academic performance was unaffected by enrollment in physical education classes, which were found to average only 19 minutes of vigorous- or moderate-intensity physical activity. When time spent engaged in vigorous- or moderate-intensity physical activity outside of school was considered, however, a significant positive relation to academic performance emerged, with more time engaged in vigorous- or moderate-intensity physical activity being related to better grades but not test scores ( Coe et al., 2006 ).

Studies of participation in sports and academic achievement have found positive associations ( Mechanic and Hansell, 1987 ; Dexter, 1999 ; Crosnoe, 2002 ; Eitle and Eitle, 2002 ; Stephens and Schaben, 2002 ; Eitle, 2005 ; Miller et al., 2005 ; Fox et al., 2010 ; Ruiz et al., 2010 ); higher grade point averages (GPAs) in season than out of season ( Silliker and Quirk, 1997 ); a negative association between cheerleading and science performance ( Hanson and Kraus, 1998 ); and weak and negative associations between the amount of time spent participating in sports and performance in English-language class among 13-, 14-, and 16-year-old students ( Daley and Ryan, 2000 ). Other studies, however, have found no association between participation in sports and academic performance ( Fisher et al., 1996 ). The findings of these studies need to be interpreted with caution as many of their designs failed to account for the level of participation by individuals in the sport (e.g., amount of playing time, type and intensity of physical activity engagement by sport). Further, it is unclear whether policies required students to have higher GPAs to be eligible for participation. Offering sports opportunities is well justified regardless of the cognitive benefits, however, given that adolescents may be less likely to engage in risky behaviors when involved in sports or other extracurricular activities ( Page et al., 1998 ; Elder et al., 2000 ; Taliaferro et al., 2010 ), that participation in sports increases physical fitness, and that affiliation with sports enhances school connectedness.

Although a consensus on the relationship of physical activity to academic achievement has not been reached, the vast majority of available evidence suggests the relationship is either positive or neutral. The meta-analytic review by Fedewa and Ahn (2011) suggests that interventions entailing aerobic physical activity have the greatest impact on academic performance; however, all types of physical activity, except those involving flexibility alone, contribute to enhanced academic performance, as do interventions that use small groups (about 10 students) rather than individuals or large groups. Regardless of the strength of the findings, the literature indicates that time spent engaged in physical activity is beneficial to children because it has not been found to detract from academic performance, and in fact can improve overall health and function ( Sallis et al., 1999 ; Hillman et al., 2008 ; Tomporowski et al., 2008a ; Trudeau and Shephard, 2008 ; Rasberry et al., 2011 ).

Single Bouts of Physical Activity

Beyond formal physical education, evidence suggests that multi-component approaches are a viable means of providing physical activity opportunities for children across the school curriculum (see also Chapter 6 ). Although health-related fitness lessons taught by certified physical education teachers result in greater student fitness gains relative to such lessons taught by other teachers ( Sallis et al., 1999 ), non-physical education teachers are capable of providing opportunities to be physically active within the classroom ( Kibbe et al., 2011 ). Single sessions or bouts of physical activity have independent merit, offering immediate benefits that can enhance the learning experience. Studies have found that single bouts of physical activity result in improved attention ( Hillman et al., 2003 , 2009 ; Pontifex et al., 2012 ), better working memory ( Pontifex et al., 2009 ), and increased academic learning time and reduced off-task behaviors ( Mahar et al., 2006 ; Bartholomew and Jowers, 2011 ). Yet single bouts of physical activity have differential effects, as very vigorous exercise has been associated with cognitive fatigue and even cognitive decline in adults ( Tomporowski, 2003 ). As seen in Figure 4-1 , high levels of effort, arousal, or activation can influence perception, decision making, response preparation, and actual response. For discussion of the underlying constructs and differential effects of single bouts of physical activity on cognitive performance, see Tomporowski (2003) .

Information processing: Diagram of a simplified version of Sanders's (1983) cognitive-energetic model of human information processing (adapted from Jones and Hardy, 1989). SOURCE: Tomporowski, 2003. Reprinted with permission.

For children, classrooms are busy places where they must distinguish relevant information from distractions that emerge from many different sources occurring simultaneously. A student must listen to the teacher, adhere to classroom procedures, focus on a specific task, hold and retain information, and make connections between novel information and previous experiences. Hillman and colleagues (2009) demonstrated that a single bout of moderate-intensity walking (60 percent of maximum heart rate) resulted in significant improvements in performance on a task requiring attentional inhibition (e.g., the ability to focus on a single task). These findings were accompanied by changes in neuroelectric measures underlying the allocation of attention (see Figure 4-2 ) and significant improvements on the reading subtest of the Wide Range Achievement Test. No such effects were observed following a similar duration of quiet rest. These findings were later replicated and extended to demonstrate benefits for both mathematics and reading performance in healthy children and those diagnosed with attention deficit hyperactivity disorder ( Pontifex et al., 2013 ). Further replications of these findings demonstrated that a single bout of moderate-intensity exercise using a treadmill improved performance on a task of attention and inhibition, but similar benefits were not derived from moderate-intensity exercise that involved exergaming ( O'Leary et al., 2011 ). It was also found that such benefits were derived following cessation of, but not during, the bout of exercise ( Drollette et al., 2012 ). The applications of such empirical findings within the school setting remain unclear.

Effects of a single session of exercise in preadolescent children. SOURCE: Hillman et al., 2009. Reprinted with permission.

A randomized controlled trial entitled Physical Activity Across the Curriculum (PAAC) used cluster randomization among 24 schools to examine the effects of physically active classroom lessons on BMI and academic achievement ( Donnelly et al., 2009 ). The academically oriented physical activities were intended to be of vigorous or moderate intensity (3–6 metabolic equivalents [METs]) and to last approximately 10 minutes and were specifically designed to supplement content in mathematics, language arts, geography, history, spelling, science, and health. The study followed 665 boys and 677 girls for 3 years as they rose from 2nd or 3rd to 4th or 5th grades. Changes in academic achievement, fitness, and blood screening were considered secondary outcomes. During a 3-year period, students who engaged in physically active lessons, on average, improved their academic achievement by 6 percent, while the control groups exhibited a 1 percent decrease. In students who experienced at least 75 minutes of PAAC lessons per week, BMI remained stable (see Figure 4-3 ).

Change in academic scores from baseline after physically active classroom lessons in elementary schools in northeast Kansas (2003–2006). NOTE: All differences between the Physical Activity Across the Curriculum (PAAC) group ( N = 117) and control (more...)

It is important to note that cognitive tasks completed before, during, and after physical activity show varying effects, but the effects were always positive compared with sedentary behavior. In a study carried out by Drollette and colleagues (2012) , 36 preadolescent children completed two cognitive tasks—a flanker task to assess attention and inhibition and a spatial nback task to assess working memory—before, during, and after seated rest and treadmill walking conditions. The children sat or walked on different days for an average of 19 minutes. The results suggest that the physical activity enhanced cognitive performance for the attention task but not for the task requiring working memory. Accordingly, although more research is needed, the authors suggest that the acute effects of exercise may be selective to certain cognitive processes (i.e., attentional inhibition) while unrelated to others (e.g., working memory). Indeed, data collected using a task-switching paradigm (i.e., a task designed to assess multitasking and requiring the scheduling of attention to multiple aspects of the environment) among 69 overweight and inactive children did not show differences in cognitive performance following acute bouts of treadmill walking or sitting ( Tomporowski et al., 2008b ). Thus, findings to date indicate a robust relationship of acute exercise to transient improvements in attention but appear inconsistent for other aspects of cognition.

Academic Learning Time and On- and Off-Task Behaviors

Excessive time on task, inattention to task, off-task behavior, and delinquency are important considerations in the learning environment given the importance of academic learning time to academic performance. These behaviors are observable and of concern to teachers as they detract from the learning environment. Systematic observation by trained observers may yield important insight regarding the effects of short physical activity breaks on these behaviors. Indeed, systematic observations of student behavior have been used as an alternative means of measuring academic performance ( Mahar et al., 2006 ; Grieco et al., 2009 ).

After the development of classroom-based physical activities, called Energizers, teachers were trained in how to implement such activities in their lessons at least twice per week ( Mahar et al., 2006 ). Measurements of baseline physical activity and on-task behaviors were collected in two 3rd-grade and two 4th-grade classes, using pedometers and direct observation. The intervention included 243 students, while 108 served as controls by not engaging in the activities. A subgroup of 62 3rd and 4th graders was observed for on-task behavior in the classroom following the physical activity. Children who participated in Energizers took more steps during the school day than those who did not; they also increased their on-task behaviors by more than 20 percent over baseline measures.

A systematic review of a similar in-class, academically oriented, physical activity plan—Take 10!—was conducted to identify the effects of its implementation after it had been in use for 10 years ( Kibbe et al., 2011 ). The findings suggest that children who experienced Take 10! in the classroom engaged in moderate to vigorous physical activity (6.16 to 6.42 METs) and had lower BMIs than those who did not. Further, children in the Take 10! classrooms had better fluid intelligence ( Reed et al., 2010 ) and higher academic achievement scores ( Donnelly et al., 2009 ).

Some have expressed concern that introducing physical activity into the classroom setting may be distracting to students. Yet in one study it was sedentary students who demonstrated a decrease in time on task, while active students returned to the same level of on-task behavior after an active learning task ( Grieco et al., 2009 ). Among the 97 3rd-grade students in this study, a small but nonsignificant increase in on-task behaviors was seen immediately following these active lessons. Additionally, these improvements were not mediated by BMI.

In sum, although presently understudied, physically active lessons may increase time on task and attention to task in the classroom setting. Given the complexity of the typical classroom, the strategy of including content-specific lessons that incorporate physical activity may be justified.

It is recommended that every child have 20 minutes of recess each day and that this time be outdoors whenever possible, in a safe activity ( NASPE, 2006 ). Consistent engagement in recess can help students refine social skills, learn social mediation skills surrounding fair play, obtain additional minutes of vigorous- or moderate-intensity physical activity that contribute toward the recommend 60 minutes or more per day, and have an opportunity to express their imagination through free play ( Pellegrini and Bohn, 2005 ; see also Chapter 6 ). When children participate in recess before lunch, additional benefits accrue, such as less food waste, increased incidence of appropriate behavior in the cafeteria during lunch, and greater student readiness to learn upon returning to the classroom after lunch ( Getlinger et al., 1996 ; Wechsler et al., 2001 ).

To examine the effects of engagement in physical activity during recess on classroom behavior, Barros and colleagues (2009) examined data from the Early Childhood Longitudinal Study on 10,000 8- to 9-year-old children. Teachers provided the number of minutes of recess as well as a ranking of classroom behavior (ranging from “misbehaves frequently” to “behaves exceptionally well”). Results indicate that children who had at least 15 minutes of recess were more likely to exhibit appropriate behavior in the classroom ( Barros et al., 2009 ). In another study, 43 4th-grade students were randomly assigned to 1 or no days of recess to examine the effects on classroom behavior ( Jarrett et al., 1998 ). The researchers concluded that on-task behavior was better among the children who had recess. A moderate effect size (= 0.51) was observed. In a series of studies examining kindergartners' attention to task following a 20-minute recess, increased time on task was observed during learning centers and story reading ( Pellegrini et al., 1995 ). Despite these positive findings centered on improved attention, it is important to note that few of these studies actually measured the intensity of the physical activity during recess.

From a slightly different perspective, survey data from 547 Virginia elementary school principals suggest that time dedicated to student participation in physical education, art, and music did not negatively influence academic performance ( Wilkins et al., 2003 ). Thus, the strategy of reducing time spent in physical education to increase academic performance may not have the desired effect. The evidence on in-school physical activity supports the provision of physical activity breaks during the school day as a way to increase fluid intelligence, time on task, and attention. However, it remains unclear what portion of these effects can be attributed to a break from academic time and what portion is a direct result of the specific demands/characteristics of the physical activity.

• THE DEVELOPING bRAIN, PHYSICAL ACTIVITY, AND BRAIN HEALTH

The study of brain health has grown beyond simply measuring behavioral outcomes such as task performance and reaction time (e.g., cognitive processing speed). New technology has emerged that has allowed scientists to understand the impact of lifestyle factors on the brain from the body systems level down to the molecular level. A greater understanding of the cognitive components that subserve academic performance and may be amenable to intervention has thereby been gained. Research conducted in both laboratory and field settings has helped define this line of inquiry and identify some preliminary underlying mechanisms.

The Evidence Base on the Relationship of Physical Activity to Brain Health and Cognition in Older Adults

Despite the current focus on the relationship of physical activity to cognitive development, the evidence base is larger on the association of physical activity with brain health and cognition during aging. Much can be learned about how physical activity affects childhood cognition and scholastic achievement through this work. Despite earlier investigations into the relationship of physical activity to cognitive aging (see Etnier et al., 1997 , for a review), the field was shaped by the findings of Kramer and colleagues (1999) , who examined the effects of aerobic fitness training on older adults using a randomized controlled design. Specifically, 124 older adults aged 60 and 75 were randomly assigned to a 6-month intervention of either walking (i.e., aerobic training) or flexibility (i.e., nonaerobic) training. The walking group but not the flexibility group showed improved cognitive performance, measured as a shorter response time to the presented stimulus. Results from a series of tasks that tapped different aspects of cognitive control indicated that engagement in physical activity is a beneficial means of combating cognitive aging ( Kramer et al., 1999 ).

Cognitive control, or executive control, is involved in the selection, scheduling, and coordination of computational processes underlying perception, memory, and goal-directed action. These processes allow for the optimization of behavioral interactions within the environment through flexible modulation of the ability to control attention ( MacDonald et al., 2000 ; Botvinick et al., 2001 ). Core cognitive processes that make up cognitive control or executive control include inhibition, working memory, and cognitive flexibility ( Diamond, 2006 ), processes mediated by networks that involve the prefrontal cortex. Inhibition (or inhibitory control) refers to the ability to override a strong internal or external pull so as to act appropriately within the demands imposed by the environment ( Davidson et al., 2006 ). For example, one exerts inhibitory control when one stops speaking when the teacher begins lecturing. Working memory refers to the ability to represent information mentally, manipulate stored information, and act on the information ( Davidson et al., 2006 ). In solving a difficult mathematical problem, for example, one must often remember the remainder. Finally, cognitive flexibility refers to the ability to switch perspectives, focus attention, and adapt behavior quickly and flexibly for the purposes of goal-directed action ( Blair et al., 2005 ; Davidson et al., 2006 ; Diamond, 2006 ). For example, one must shift attention from the teacher who is teaching a lesson to one's notes to write down information for later study.

Based on their earlier findings on changes in cognitive control induced by aerobic training, Colcombe and Kramer (2003) conducted a meta-analysis to examine the relationship between aerobic training and cognition in older adults aged 55-80 using data from 18 randomized controlled exercise interventions. Their findings suggest that aerobic training is associated with general cognitive benefits that are selectively and disproportionately greater for tasks or task components requiring greater amounts of cognitive control. A second and more recent meta-analysis ( Smith et al., 2010 ) corroborates the findings of Colcombe and Kramer, indicating that aerobic exercise is related to attention, processing speed, memory, and cognitive control; however, it should be noted that smaller effect sizes were observed, likely a result of the studies included in the respective meta-analyses. In older adults, then, aerobic training selectively improves cognition.

Hillman and colleagues (2006) examined the relationship between physical activity and inhibition (one aspect of cognitive control) using a computer-based stimulus-response protocol in 241 individuals aged 15-71. Their results indicate that greater amounts of physical activity are related to decreased response speed across task conditions requiring variable amounts of inhibition, suggesting a generalized relationship between physical activity and response speed. In addition, the authors found physical activity to be related to better accuracy across conditions in older adults, while no such relationship was observed for younger adults. Of interest, this relationship was disproportionately larger for the condition requiring greater amounts of inhibition in the older adults, suggesting that physical activity has both a general and selective association with task performance ( Hillman et al., 2006 ).

With advances in neuroimaging techniques, understanding of the effects of physical activity and aerobic fitness on brain structure and function has advanced rapidly over the past decade. In particular, a series of studies ( Colcombe et al., 2003 , 2004 , 2006 ; Kramer and Erickson, 2007 ; Hillman et al., 2008 ) of older individuals has been conducted to elucidate the relation of aerobic fitness to the brain and cognition. Normal aging results in the loss of brain tissue ( Colcombe et al., 2003 ), with markedly larger loss evidenced in the frontal, temporal, and parietal regions ( Raz, 2000 ). Thus cognitive functions subserved by these brain regions (such as those involved in cognitive control and aspects of memory) are expected to decay more dramatically than other aspects of cognition.

Colcombe and colleagues (2003) investigated the relationship of aerobic fitness to gray and white matter tissue loss using magnetic resonance imaging (MRI) in 55 healthy older adults aged 55-79. They observed robust age-related decreases in tissue density in the frontal, temporal, and parietal regions using voxel-based morphometry, a technique used to assess brain volume. Reductions in the amount of tissue loss in these regions were observed as a function of fitness. Given that the brain structures most affected by aging also demonstrated the greatest fitness-related sparing, these initial findings provide a biological basis for fitness-related benefits to brain health during aging.

In a second study, Colcombe and colleagues (2006) examined the effects of aerobic fitness training on brain structure using a randomized controlled design with 59 sedentary healthy adults aged 60-79. The treatment group received a 6-month aerobic exercise (i.e., walking) intervention, while the control group received a stretching and toning intervention that did not include aerobic exercise. Results indicated that gray and white matter brain volume increased for those who received the aerobic fitness training intervention. No such results were observed for those assigned to the stretching and toning group. Specifically, those assigned to the aerobic training intervention demonstrated increased gray matter in the frontal lobes, including the dorsal anterior cingulate cortex, the supplementary motor area, the middle frontal gyrus, the dorsolateral region of the right inferior frontal gyrus, and the left superior temporal lobe. White matter volume changes also were evidenced following the aerobic fitness intervention, with increases in white matter tracts being observed within the anterior third of the corpus callosum. These brain regions are important for cognition, as they have been implicated in the cognitive control of attention and memory processes. These findings suggest that aerobic training not only spares age-related loss of brain structures but also may in fact enhance the structural health of specific brain regions.

In addition to the structural changes noted above, research has investigated the relationship between aerobic fitness and changes in brain function. That is, aerobic fitness training has also been observed to induce changes in patterns of functional activation. Functional MRI (fMRI) measures, which make it possible to image activity in the brain while an individual is performing a cognitive task, have revealed that aerobic training induces changes in patterns of functional activation. This approach involves inferring changes in neuronal activity from alteration in blood flow or metabolic activity in the brain. In a seminal paper, Colcombe and colleagues (2004) examined the relationship of aerobic fitness to brain function and cognition across two studies with older adults. In the first study, 41 older adult participants (mean age ~66) were divided into higher- and lower-fit groups based on their performance on a maximal exercise test. In the second study, 29 participants (aged 58-77) were recruited and randomly assigned to either a fitness training (i.e., walking) or control (i.e., stretching and toning) intervention. In both studies, participants were given a task requiring variable amounts of attention and inhibition. Results indicated that fitness (study 1) and fitness training (study 2) were related to greater activation in the middle frontal gyrus and superior parietal cortex; these regions of the brain are involved in attentional control and inhibitory functioning, processes entailed in the regulation of attention and action. These changes in neural activation were related to significant improvements in performance on the cognitive control task of attention and inhibition.

Taken together, the findings across studies suggest that an increase in aerobic fitness, derived from physical activity, is related to improvements in the integrity of brain structure and function and may underlie improvements in cognition across tasks requiring cognitive control. Although developmental differences exist, the general paradigm of this research can be applied to early stages of the life span, and some early attempts to do so have been made, as described below. Given the focus of this chapter on childhood cognition, it should be noted that this section has provided only a brief and arguably narrow look at the research on physical activity and cognitive aging. Considerable work has detailed the relationship of physical activity to other aspects of adult cognition using behavioral and neuroimaging tools (e.g., Boecker, 2011 ). The interested reader is referred to a number of review papers and meta-analyses describing the relationship of physical activity to various aspects of cognitive and brain health ( Etnier et al., 1997 ; Colcombe and Kramer, 2003 ; Tomporowski, 2003 ; Thomas et al., 2012 ).

Child Development, Brain Structure, and Function

Certain aspects of development have been linked with experience, indicating an intricate interplay between genetic programming and environmental influences. Gray matter, and the organization of synaptic connections in particular, appears to be at least partially dependent on experience (NRC/IOM, 2000; Taylor, 2006 ), with the brain exhibiting a remarkable ability to reorganize itself in response to input from sensory systems, other cortical systems, or insult ( Huttenlocher and Dabholkar, 1997 ). During typical development, experience shapes the pruning process through the strengthening of neural networks that support relevant thoughts and actions and the elimination of unnecessary or redundant connections. Accordingly, the brain responds to experience in an adaptive or “plastic” manner, resulting in the efficient and effective adoption of thoughts, skills, and actions relevant to one's interactions within one's environmental surroundings. Examples of neural plasticity in response to unique environmental interaction have been demonstrated in human neuroimaging studies of participation in music ( Elbert et al., 1995 ; Chan et al., 1998 ; Münte et al., 2001 ) and sports ( Hatfield and Hillman, 2001 ; Aglioti et al., 2008 ), thus supporting the educational practice of providing music education and opportunities for physical activity to children.

Effects of Regular Engagement in Physical Activity and Physical Fitness on Brain Structure

Recent advances in neuroimaging techniques have rapidly advanced understanding of the role physical activity and aerobic fitness may have in brain structure. In children a growing body of correlational research suggests differential brain structure related to aerobic fitness. Chaddock and colleagues (2010a , b ) showed a relationship among aerobic fitness, brain volume, and aspects of cognition and memory. Specifically, Chaddock and colleagues (2010a) assigned 9- to 10-year-old preadolescent children to lower- and higher-fitness groups as a function of their scores on a maximal oxygen uptake (VO 2 max) test, which is considered the gold-standard measure of aerobic fitness. They observed larger bilateral hippocampal volume in higher-fit children using MRI, as well as better performance on a task of relational memory. It is important to note that relational memory has been shown to be mediated by the hippocampus ( Cohen and Eichenbaum, 1993 ; Cohen et al., 1999 ). Further, no differences emerged for a task condition requiring item memory, which is supported by structures outside the hippocampus, suggesting selectivity among the aspects of memory that benefit from higher amounts of fitness. Lastly, hippocampal volume was positively related to performance on the relational memory task but not the item memory task, and bilateral hippocampal volume was observed to mediate the relationship between fitness and relational memory ( Chaddock et al., 2010a ). Such findings are consistent with behavioral measures of relational memory in children ( Chaddock et al., 2011 ) and neuroimaging findings in older adults ( Erickson et al., 2009 , 2011 ) and support the robust nonhuman animal literature demonstrating the effects of exercise on cell proliferation ( Van Praag et al., 1999 ) and survival ( Neeper et al., 1995 ) in the hippocampus.

In a second investigation ( Chaddock et al., 2010b ), higher- and lower-fit children (aged 9-10) underwent an MRI to determine whether structural differences might be found that relate to performance on a cognitive control task that taps attention and inhibition. The authors observed differential findings in the basal ganglia, a subcortical structure involved in the interplay of cognition and willed action. Specifically, higher-fit children exhibited greater volume in the dorsal striatum (i.e., caudate nucleus, putamen, globus pallidus) relative to lower-fit children, while no differences were observed in the ventral striatum. Such findings are not surprising given the role of the dorsal striatum in cognitive control and response resolution ( Casey et al., 2008 ; Aron et al., 2009 ), as well as the growing body of research in children and adults indicating that higher levels of fitness are associated with better control of attention, memory, and cognition ( Colcombe and Kramer, 2003 ; Hillman et al., 2008 ; Chang and Etnier, 2009 ). Chaddock and colleagues (2010b) further observed that higher-fit children exhibited increased inhibitory control and response resolution and that higher basal ganglia volume was related to better task performance. These findings indicate that the dorsal striatum is involved in these aspects of higher-order cognition and that fitness may influence cognitive control during preadolescent development. It should be noted that both studies described above were correlational in nature, leaving open the possibility that other factors related to fitness and/or the maturation of subcortical structures may account for the observed group differences.

Effects of Regular Engagement in Physical Activity and Physical Fitness on Brain Function

Other research has attempted to characterize fitness-related differences in brain function using fMRI and event-related brain potentials (ERPs), which are neuroelectric indices of functional brain activation in the electro-encephalographic time series. To date, few randomized controlled interventions have been conducted. Notably, Davis and colleagues (2011) conducted one such intervention lasting approximately 14 weeks that randomized 20 sedentary overweight preadolescent children into an after-school physical activity intervention or a nonactivity control group. The fMRI data collected during an antisaccade task, which requires inhibitory control, indicated increased bilateral activation of the prefrontal cortex and decreased bilateral activation of the posterior parietal cortex following the physical activity intervention relative to the control group. Such findings illustrate some of the neural substrates influenced by participation in physical activity. Two additional correlational studies ( Voss et al., 2011 ; Chaddock et al., 2012 ) compared higher- and lower-fit preadolescent children and found differential brain activation and superior task performance as a function of fitness. That is, Chaddock and colleagues (2012) observed increased activation in prefrontal and parietal brain regions during early task blocks and decreased activation during later task blocks in higher-fit relative to lower-fit children. Given that higher-fit children outperformed lower-fit children on the aspects of the task requiring the greatest amount of cognitive control, the authors reason that the higher-fit children were more capable of adapting neural activity to meet the demands imposed by tasks that tapped higher-order cognitive processes such as inhibition and goal maintenance. Voss and colleagues (2011) used a similar task to vary cognitive control requirements and found that higher-fit children outperformed their lower-fit counterparts and that such differences became more pronounced during task conditions requiring the upregulation of control. Further, several differences emerged across various brain regions that together make up the network associated with cognitive control. Collectively, these differences suggest that higher-fit children are more efficient in the allocation of resources in support of cognitive control operations.

Other imaging research has examined the neuroelectric system (i.e., ERPs) to investigate which cognitive processes occurring between stimulus engagement and response execution are influenced by fitness. Several studies ( Hillman et al., 2005 , 2009 ; Pontifex et al., 2011 ) have examined the P3 component of the stimulus-locked ERP and demonstrated that higher-fit children have larger-amplitude and shorter-latency ERPs relative to their lower-fit peers. Classical theory suggests that P3 relates to neuronal activity associated with revision of the mental representation of the previous event within the stimulus environment ( Donchin, 1981 ). P3 amplitude reflects the allocation of attentional resources when working memory is updated ( Donchin and Coles, 1988 ) such that P3 is sensitive to the amount of attentional resources allocated to a stimulus ( Polich, 1997 ; Polich and Heine, 2007 ). P3 latency generally is considered to represent stimulus evaluation and classification speed ( Kutas et al., 1977 ; Duncan-Johnson, 1981 ) and thus may be considered a measure of stimulus detection and evaluation time ( Magliero et al., 1984 ; Ila and Polich, 1999 ). Therefore the above findings suggest that higher-fit children allocate greater attentional resources and have faster cognitive processing speed relative to lower-fit children ( Hillman et al., 2005 , 2009 ), with additional research suggesting that higher-fit children also exhibit greater flexibility in the allocation of attentional resources, as indexed by greater modulation of P3 amplitude across tasks that vary in the amount of cognitive control required ( Pontifex et al., 2011 ). Given that higher-fit children also demonstrate better performance on cognitive control tasks, the P3 component appears to reflect the effectiveness of a subset of cognitive systems that support willed action ( Hillman et al., 2009 ; Pontifex et al., 2011 ).

Two ERP studies ( Hillman et al., 2009 ; Pontifex et al., 2011 ) have focused on aspects of cognition involved in action monitoring. That is, the error-related negativity (ERN) component was investigated in higher- and lower-fit children to determine whether differences in evaluation and regulation of cognitive control operations were influenced by fitness level. The ERN component is observed in response-locked ERP averages. It is often elicited by errors of commission during task performance and is believed to represent either the detection of errors during task performance ( Gehring et al., 1993 ; Holroyd and Coles, 2002 ) or more generally the detection of response conflict ( Botvinick et al., 2001 ; Yeung et al., 2004 ), which may be engendered by errors in response production. Several studies have reported that higher-fit children exhibit smaller ERN amplitude during rapid-response tasks (i.e., instructions emphasizing speed of responding; Hillman et al., 2009 ) and more flexibility in the allocation of these resources during tasks entailing variable cognitive control demands, as evidenced by changes in ERN amplitude for higher-fit children and no modulation of ERN in lower-fit children ( Pontifex et al., 2011 ). Collectively, this pattern of results suggests that children with lower levels of fitness allocate fewer attentional resources during stimulus engagement (P3 amplitude) and exhibit slower cognitive processing speed (P3 latency) but increased activation of neural resources involved in the monitoring of their actions (ERN amplitude). Alternatively, higher-fit children allocate greater resources to environmental stimuli and demonstrate less reliance on action monitoring (increasing resource allocation only to meet the demands of the task). Under more demanding task conditions, the strategy of lower-fit children appears to fail since they perform more poorly under conditions requiring the upregulation of cognitive control.

Finally, only one randomized controlled trial published to date has used ERPs to assess neurocognitive function in children. Kamijo and colleagues (2011) studied performance on a working memory task before and after a 9-month physical activity intervention compared with a wait-list control group. They observed better performance following the physical activity intervention during task conditions that required the upregulation of working memory relative to the task condition requiring lesser amounts of working memory. Further, increased activation of the contingent negative variation (CNV), an ERP component reflecting cognitive and motor preparation, was observed at posttest over frontal scalp sites in the physical activity intervention group. No differences in performance or brain activation were noted for the wait-list control group. These findings suggest an increase in cognitive preparation processes in support of a more effective working memory network resulting from prolonged participation in physical activity. For children in a school setting, regular participation in physical activity as part of an after-school program is particularly beneficial for tasks that require the use of working memory.

Adiposity and Risk for Metabolic Syndrome as It Relates to Cognitive Health

A related and emerging literature that has recently been popularized investigates the relationship of adiposity to cognitive and brain health and academic performance. Several reports ( Datar et al., 2004 ; Datar and Sturm, 2006 ; Judge and Jahns, 2007 ; Gable et al., 2012 ) on this relationship are based on large-scale datasets derived from the Early Child Longitudinal Study. Further, nonhuman animal research has been used to elucidate the relationships between health indices and cognitive and brain health (see Figure 4-4 for an overview of these relationships). Collectively, these studies observed poorer future academic performance among children who entered school overweight or moved from a healthy weight to overweight during the course of development. Corroborating evidence for a negative relationship between adiposity and academic performance may be found in smaller but more tightly controlled studies. As noted above, Castelli and colleagues (2007) observed poorer performance on the mathematics and reading portions of the Illinois Standardized Achievement Test in 3rd- and 5th-grade students as a function of higher BMI, and Donnelly and colleagues (2009) used a cluster randomized trial to demonstrate that physical activity in the classroom decreased BMI and improved academic achievement among pre-adolescent children.

Relationships between health indices and cognitive and brain health. NOTE: AD = Alzheimer's disease; PD = Parkinson's disease. SOURCE: Cotman et al., 2007. Reprinted with permission.

Recently published reports describe the relationship between adiposity and cognitive and brain health to advance understanding of the basic cognitive processes and neural substrates that may underlie the adiposity-achievement relationship. Bolstered by findings in adult populations (e.g., Debette et al., 2010 ; Raji et al., 2010 ; Carnell et al., 2011 ), researchers have begun to publish data on preadolescent populations indicating differences in brain function and cognitive performance related to adiposity (however, see Gunstad et al., 2008 , for an instance in which adiposity was unrelated to cognitive outcomes). Specifically, Kamijo and colleagues (2012a) examined the relationship of weight status to cognitive control and academic achievement in 126 children aged 7-9. The children completed a battery of cognitive control tasks, and their body composition was assessed using dual X-ray absorptiometry (DXA). The authors found that higher BMI and greater amounts of fat mass (particularly in the midsection) were related to poorer performance on cognitive control tasks involving inhibition, as well as lower academic achievement. In follow-up studies, Kamijo and colleagues (2012b) investigated whether neural markers of the relationship between adiposity and cognition may be found through examination of ERP data. These studies compared healthy-weight and obese children and found a differential distribution of the P3 potential (i.e., less frontally distributed) and larger N2 amplitude, as well as smaller ERN magnitude, in obese children during task conditions that required greater amounts of inhibitory control ( Kamijo et al., 2012c ). Taken together, the above results suggest that obesity is associated with less effective neural processes during stimulus capture and response execution. As a result, obese children perform tasks more slowly ( Kamijo et al., 2012a ) and are less accurate ( Kamijo et al., 2012b , c ) in response to tasks requiring variable amounts of cognitive control. Although these data are correlational, they provide a basis for further study using other neuroimaging tools (e.g., MRI, fMRI), as well as a rationale for the design and implementation of randomized controlled studies that would allow for causal interpretation of the relationship of adiposity to cognitive and brain health. The next decade should provide a great deal of information on this relationship.

• LIMITATIONS

Despite the promising findings described in this chapter, it should be noted that the study of the relationship of childhood physical activity, aerobic fitness, and adiposity to cognitive and brain health and academic performance is in its early stages. Accordingly, most studies have used designs that afford correlation rather than causation. To date, in fact, only two randomized controlled trials ( Davis et al., 2011 ; Kamijo et al., 2011 ) on this relationship have been published. However, several others are currently ongoing, and it was necessary to provide evidence through correlational studies before investing the effort, time, and funding required for more demanding causal studies. Given that the evidence base in this area has grown exponentially in the past 10 years through correlational studies and that causal evidence has accumulated through adult and nonhuman animal studies, the next step will be to increase the amount of causal evidence available on school-age children.

Accomplishing this will require further consideration of demographic factors that may moderate the physical activity–cognition relationship. For instance, socioeconomic status has a unique relationship with physical activity ( Estabrooks et al., 2003 ) and cognitive control ( Mezzacappa, 2004 ). Although many studies have attempted to control for socioeconomic status (see Hillman et al., 2009 ; Kamijo et al., 2011 , 2012a , b , c ; Pontifex et al., 2011 ), further inquiry into its relationship with physical activity, adiposity, and cognition is warranted to determine whether it may serve as a potential mediator or moderator for the observed relationships. A second demographic factor that warrants further consideration is gender. Most authors have failed to describe gender differences when reporting on the physical activity–cognition literature. However, studies of adiposity and cognition have suggested that such a relationship may exist (see Datar and Sturm, 2006 ). Additionally, further consideration of age is warranted. Most studies have examined a relatively narrow age range, consisting of a few years. Such an approach often is necessary because of maturation and the need to develop comprehensive assessment tools that suit the various stages of development. However, this approach has yielded little understanding of how the physical activity–cognition relationship may change throughout the course of maturation.

Finally, although a number of studies have described the relationship of physical activity, fitness, and adiposity to standardized measures of academic performance, few attempts have been made to observe the relationship within the context of the educational environment. Standardized tests, although necessary to gauge knowledge, may not be the most sensitive measures for (the process of) learning. Future research will need to do a better job of translating promising laboratory findings to the real world to determine the value of this relationship in ecologically valid settings.

From an authentic and practical to a mechanistic perspective, physically active and aerobically fit children consistently outperform their inactive and unfit peers academically on both a short- and a long-term basis. Time spent engaged in physical activity is related not only to a healthier body but also to enriched cognitive development and lifelong brain health. Collectively, the findings across the body of literature in this area suggest that increases in aerobic fitness, derived from physical activity, are related to improvements in the integrity of brain structure and function that underlie academic performance. The strongest relationships have been found between aerobic fitness and performance in mathematics, reading, and English. For children in a school setting, regular participation in physical activity is particularly beneficial with respect to tasks that require working memory and problem solving. These findings are corroborated by the results of both authentic correlational studies and experimental randomized controlled trials. Overall, the benefits of additional time dedicated to physical education and other physical activity opportunities before, during, and after school outweigh the benefits of exclusive utilization of school time for academic learning, as physical activity opportunities offered across the curriculum do not inhibit academic performance.

Both habitual and single bouts of physical activity contribute to enhanced academic performance. Findings indicate a robust relationship of acute exercise to increased attention, with evidence emerging for a relationship between participation in physical activity and disciplinary behaviors, time on task, and academic performance. Specifically, higher-fit children allocate greater resources to a given task and demonstrate less reliance on environmental cues or teacher prompting.

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• Cite this Page Committee on Physical Activity and Physical Education in the School Environment; Food and Nutrition Board; Institute of Medicine; Kohl HW III, Cook HD, editors. Educating the Student Body: Taking Physical Activity and Physical Education to School. Washington (DC): National Academies Press (US); 2013 Oct 30. 4, Physical Activity, Fitness, and Physical Education: Effects on Academic Performance.
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• Published: 10 August 2024

The role of physical activity and fitness for children’s wellbeing and academic achievement

• Julia Jaekel   ORCID: orcid.org/0000-0001-6123-3375 1 , 2 , 3 , 4  

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It is well known that physiological, psychological, and cognitive factors contribute to children’s wellbeing and school success, but studies assessing these domains simultaneously are surprisingly rare. Visier-Alfonso et al. expand on our existing knowledge base and report different pathways to academic achievement for girls and boys. Specifically, girls with higher cardiorespiratory fitness had better psychological wellbeing, and this was associated with higher academic achievement. Boys were more academically successful if they had higher cognitive flexibility. Boys with higher cardiorespiratory fitness also had better psychological wellbeing. According to this current evidence, cardiorespiratory fitness has both direct and indirect beneficial effects beyond physical health on psychological wellbeing and academic achievement. Health practitioners, education professionals, and parents should focus on increasing opportunities for daily physical activities that will benefit children’s cardiorespiratory fitness.

In today’s world, finding a good balance between screen time and physical activity is key to child health, wellbeing, and school performance. At least that is what most health practitioners, education professionals, and parents will likely agree on. However, despite the real-life importance of these domains, there is surprisingly little scientific evidence on how they are independently and simultaneously associated with each other. Study findings of how screen time affects child development and academic outcomes at school age have been mixed, 1 , 2 especially when adjusted for families’ socio-cultural backgrounds and level of education. Visier-Alfonso et al. do not only expand on our existing knowledge base of how physiological, psychological, and cognitive factors contribute to children’s school success, they also provide new details on the strength (or their absence) of underlying associations. In their observational study of 519 school-aged children in Spain, the different domains were operationalised via well-established, reliable, multi-informant measures, e.g. cardiorespiratory fitness (CRF) was assessed with the 20-metre shuttle run test, recreational screen time use was reported by parents, psychological well-being was assessed from children themselves with the Kidscreen-27, 3 and cognitive flexibility via the computerised Dimensional Change Card Sort Test. 4 The selection and intentional combination of these measures allows a comparison of the current findings with other previous studies from different settings and world regions – a precondition for meaningful contributions to understanding developmental mechanisms.

Human development is shaped by complex multidirectional cascades over time. 5 , 6 , 7 In research, it is important to design studies that allow us to include relevant variables and constructs in one model, in order to estimate and test hypothesised associations that mirror the true complexity of development. On the contrary, if relevant constructs and their associations are not included in statistical models, researchers risk overestimating certain direct associations by neglecting others. With regard to these methodological aspects, Visier-Alfonso et al.’s study is a step forward. They demonstrate how to apply fit indices provided by structural equation and path modelling to adapt hypothesised associations to a collected data sample. This data-based model fitting process is especially helpful when a sample is large enough to provide sufficient statistical power and assumed to be representative of a population.

Accordingly, Visier-Alfonso et al. report different pathways from CRF to academic achievement by biological sex, suggesting intriguing differences between girls and boys. Specifically, girls with higher CRF reported better psychological wellbeing, and this was associated with higher academic achievement. Boys, on the other hand, were more academically successful if they had higher cognitive flexibility. In addition, the authors report a total negative effect of screen time on academic achievement among boys, however it is small and only marginally significant. Boys with higher CRF also had better psychological wellbeing, but there were no associations of these variables with their academic achievement. These sex differences in associations between domains may be partly influenced by the current sample’s descriptive differences: on average, boys used screens more often and were more fit, but they had lower cognitive flexibility than girls. While these sex differences in mean values are in line with many other studies worldwide, the current results of different mechanisms still need replication in other samples and populations.

The oldest participants in the sample were 11 years at the time of data collection - on the cusp of adolescence. The fundamental hormonal and neurodevelopmental changes they will be undergoing throughout puberty will shape their physiological, psychological, and cognitive characteristics, and indirectly affect their future academic performance. Because of these changes, puberty represents a critical time of transition with a window of risk but also of opportunity: to set individuals on healthy trajectories of wellbeing and academic success. Visier-Alfonso et al.’s study provides pointers for some of the underlying mechanisms that may be changed through intervention during late childhood. The primary years of formal schooling trigger challenges for all children across multiple areas, including the expectation to pay attention and sit still for long periods of time, inhibit unwanted behaviours, and to self-regulate their own emotions, for example. 8 , 9 In educational and developmental psychology research, children’s CRF, physical activity, and motor skills have traditionally been paid little attention to. 10 , 11 However, these domains play an important role as part of the typical developmental cascades shaping preschool and early school age. 12 , 13 Accordingly, in recent years, there has been a growing awareness of the critical role of visual-motor coordination and circumscribed motor coordination disorders, referred to as Developmental Coordination Disorder (DCD), 14 , 15 , 16 as well as childhood obesity. 17 Motor skills develop along a continuum in close association with other domains such as executive functions and social behaviour. For instance, coordination, balance, and handwriting involve complex skills 15 , 18 , 19 and are part of everyday activities at school. Difficulties with holding and moving a pencil, putting on shoes during lesson breaks, or clumsiness in group-based games can impact school performance and social participation. Not surprisingly, children’s motor abilities have been found to affect their self-esteem, well-being, acceptance by peers, and academic achievement. 18 , 20 , 21 In the context of the current findings, CRF may be an indicator of children’s day-to-day levels of physical activity, which are not only paramount for motor skills and overall health but also play an important role in social interactions and inclusion in games among children. In Visier-Alfonso et al.’s models, the one and only stable and significant association across both sexes is the path from CRF to psychological wellbeing. This underscores that physical activity is universally foundational for participation and peer acceptance at school age, and thereby affects trajectories of long-term academic success and wellbeing.

After a close look at Visier-Alfonso et al.’s findings, the main takeaway is perhaps that health practitioners, education professionals, and parents should stress less about limiting screen time and instead focus on increasing opportunities for daily physical activities that will benefit children’s CRF. According to the current evidence, better CRF then has both direct and indirect beneficial effects beyond physical health on today’s children’s psychological wellbeing and academic achievement.

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Julia Jaekel

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Science in School

Exploring scientific research articles in the classroom teach article.

Author(s): Miriam Ossevoort, Marcel Koeneman, Martin Goedhart

Learn how to use research articles in your science lessons.

Scientists use research articles to communicate their research findings and scientific claims. These articles are not just factual reports of experimental work; the authors also try to convince the reader that their argument is correct. It is now easier than ever to read the original research behind science stories in the media, as more and more articles are being made freely available through open-access publishing.

Reading research articles is an opportunity for secondary-school students to learn about:

• The language of scientific communication (structure, vocabulary and conventions such as writing in the third person)
• The way scientists use their evidence to form an argument and justify their claims
• How science works (designing research to test hypotheses; fair testing; presenting results; drawing conclusions; raising new questions; building on existing knowledge).

Reading research articles is not an easy task for students, but they can find it inspiring. Here we describe a classroom activity that we have been using to teach students aged 15-16 years and older about the textual structure ( part 1 ) and the argumentative structure ( part 2 ) of a research article. This classroom activity takes about three hours. It could be less if, after part 1, the students read the article as homework.

Most research articles are written in English, the language of science. If you teach in a school where English is not the language of instruction, you might find it helpful to involve the English teacher in the activity.

Getting started

To begin with, you need to choose a good research article to use. The following criteria are key:

• Limited length (three pages maximum)
• Appealing, age-appropriate content
• Structure including the following sections: abstract, introduction, materials and methods, results, discussion and / or conclusion
• Easy-to-understand experimental procedure
• Simple relationship between the data and conclusion
• Obvious practical or social significance.

When selecting the topic, you might like to focus on something covered in the school curriculum. Once you have chosen a topic, you may want to start by searching for research articles published in open-access journals. For example, the Directory of Open Access Journals w1 (DOAJ), a directory of scientific and scholarly journals published in many languages, is one potential starting point. We would also recommend Biomed Central w2 , a publisher of 220 open-access, online, peer-reviewed journals in biology and medicine. The Public Library of Science w3 (PLOS) publishes seven open-access, peer-reviewed journals in biology and medicine. When using these collections, you could search for articles on a specific topic or browse the recent research, featured discussions and / or most viewed sections.

Another source of inspiration could be topics covered in media such as newspapers, popular science magazines like New Scientist or Science News ,or their corresponding websites. These websites generally allow you to enter search terms and filter by topic, date and other criteria; some of the articles include suggestions for further reading, such as the original research articles. You will then need to judge whether the research article itself meets the selection criteria listed above.

Research articles on (animal) behaviour or testing medicines often have easy-to-understand experimental procedures. One good example is Computer animations stimulate contagious yawning in chimpanzees ( Campbell et al., 2009 ), which was covered in several newspapers. We chose this article for its length, its appealing content (looking at pictures of yawning chimpanzees makes you yawn yourself), the straightforward experimental procedure and clear scientific claim. From the from the Science in School website, you can download more details of how we used the article w4 .

1) The textual structure of the article

Let’s begin by looking at the text and the structure of a research article. It starts with a title , which summarises the study and / or its outcome. This is followed by a list of the authors and their affiliations (i.e. who they work for). Usually, the first author is the main researcher and the last author is the head of the department. Then, the dates of submission and publication are given; this shows how long the peer review and revision process has taken. Next, we find the abstract , which summarises the content of the article. The main body of the article starts after the abstract.

In the main body of the article, the first section is the introduction . Here the authors explain the context of the study, i.e. what other researchers have discovered, why this study is important (the gap in knowledge) and what they are going to do. The second section presents the material and methods in enough detail for other scientists to repeat the experiments. In the third section, the results of the study are summarised in text and presented as graphs, diagrams and tables. The fourth section is a discussion of the results. Most importantly, it states the main conclusion (claim), how the evidence supports this conclusion and the implications for further research or for society. After this, you may also find the acknowledgements where the authors thank those who contributed to the research and identify who funded the study. The references section lists all the source materials cited in the article.

To study the textual structure of a research article in class, give each student a copy of the article, and ask him or her to answer some basic questions. By skimming the article to find the answers, your students will quickly become familiar with the structure of the research article and its content. Questions might include:

• Who is the first author of this article? The first author is normally the person who had the idea behind the research or did most of the work.
• Who are the other authors?
• Where was the research done?
• Which sections does the article contain and what is in each section?
• When was this paper published?
• Who funded the research?

2) The argumentative structure of a research article

Remember, scientists write research articles to try and convince their peers to accept their scientific claims. This line of reasoning is called the argumentative structure and consists of: the motive (why the study was done), the objective (what was investigated), the main conclusion (the outcome of the study), supports (statements, including data from their own research), references (to previous research and refuted counter-arguments) and one or more implications (which might be a new theory, a new research question, or the impact on society or the research community). Each of these elements is usually found in a specific section of the research article (figure 1).

The next step in the teaching activity is to look at the argumentative structure in more detail. Students could read the whole article in detail, working individually or in small groups to answer guided questions. Next, the answers could be discussed to enhance the students’ understanding.

First, let your students read the introduction, then ask them to answer the following questions:

• Why was this study done ( motive )?
• What was investigated ( objective )?

Next is the materials and methods section. In our experience, students often find this section hard to understand due to its highly technical vocabulary. Therefore, we suggest that you simply explain how the study was performed.

Then, the students can read the results and discussion sections and answer the questions below either as homework or in class. Ask them to:

• Identify the main conclusion (outcome of the study), supports for this main conclusion (data from this study or previous research) and the implication (e.g. need for further study or impact on society).

If your students find it difficult to identify these elements, let them discuss their answers in groups before sharing them with the class. A good visual way of doing this is to create a poster with a structure similar to figure 1 . The students can then review their posters in a classroom discussion.

At the end of this classroom activity, you may want to write out the complete argumentative structure of the research article on the board. Finally, encourage your students to discuss whether they agree with the authors’ scientific claim (main conclusion) and to review the article as a whole by playing the role of a reviewer. You could use a role play about peer review w5 , developed by Sense about Science.

There are plenty of media stories about contagious yawning, so this topic would also be ideal for working with news articles. For more details of using news articles in science lessons, see Veneu-Lumb and Costa (2010) .

As a follow-up activity, you could ask your students to conduct their own version of the experiment described in the research paper. For example if you used the article we chose, your students could play a yawning video from Youtube (search for ‘contagious yawning’) to another class of students (who did not know what was being tested) and watch how often they yawn. As a control, they could watch a non-yawning video of similar length.

• The article is freely available via the  journal website .
• Veneu-Lumb F, Costa M (2010)  Using news in the science classroom .  Science in School.   15 : 30-33.

Web References

• w1 – The  Directory of Open Access Journals  (DOAJ) is a directory of scientific and scholarly journals published in many languages.
• w2 –  Biomed Central  is the publisher of 220 open-access, online, peer-reviewed journals in biology and medicine.
• w3 – The  Public Library of Science  (PLOS) publishes seven open-access, peer-reviewed journals in biology and medicine.
• w4 – From the  Science in School  website, you can download an in-depth analysis of the structure of Campbell et al. (2009) as a  Word  or  PDF  file.
• w5 – In a classroom role play, students re-enact the peer-review process, assessing the quality of a mock study on the effect of chocolate on blood pressure. The role-play materials and some supporting information can be downloaded from the  Sense about Science website .
• Many  Science in School  articles link to research papers published in the prestigious scientific journal,  Nature . These papers can be downloaded free of charge from the  Science in School  website. Explore our  archive  for articles that link to  Nature  papers.
• In 2011, the Royal Society, the oldest scientific academy in continuous existence, made its entire  historical journal archive  freely available online.
• Dance A (2012)  Authorship: who’s on first? .  Nature  489 : 591-593. doi: 10.1038/nj7417-591a
• The article is freely available via the  Nature  website .
• Venkatraman V (2010)  Conventions of scientific authorship .  Science Career Magazine : 16 April 2010. doi: 10.1126/science.caredit.a1000039
• The article is freely available via the  Science Career Magazine website .

Miriam Ossevoort is an assistant professor in science education and communication at the University of Groningen, the Netherlands, and conducts educational research on reading science.

Marcel Koeneman is a teacher in biology and chemistry at an international secondary school in the Netherlands. He is also working towards a PhD on using research articles in the classroom.

Martin Goedhart is a full professor in mathematics and science education at the University of Groningen, the Netherlands.

Using the suggested activity for discussing or exploring a few well-chosen research papers with students, teachers can not only deepen their students’ knowledge of the scientific research in question, but also help them to relate more closely to the professional activities of a scientist.

In addition to the questions posed in the article, the teacher could also ask the students to discuss peer review. For example, what is peer review? Why is it done? By how many reviewers? Why is it important (or desirable) that the review process is blind? What is double-blind peer review? The students could also consider the acknowledgements section and discuss how science is financed.

Some interesting follow-up strategies would be to ask students to design their own research project and to write a small research paper. If this were done in two different classes, the students could then review the research papers of the other class, who have investigated the same or a similar topic.

Which science lessons and which age groups to target with the activity would depend on the research paper chosen by the teacher. However, the strategy would be most useful for upper-secondary-level students (ages 15-18). The fact that most research papers are in English should not be seen as an obstacle, but as an opportunity to implement interdisciplinary projects with language teachers.

Betina da Silva Lopes, Portugal

Supporting materials

Analysis of the structure of Campbell (Word document)

Analysis of the structure of Campbell (PDF file)

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• Research Skills

50 Mini-Lessons For Teaching Students Research Skills

Please note, I am no longer blogging and this post hasn’t updated since April 2020.

For a number of years, Seth Godin has been talking about the need to “ connect the dots” rather than “collect the dots” . That is, rather than memorising information, students must be able to learn how to solve new problems, see patterns, and combine multiple perspectives.

Solid research skills underpin this. Having the fluency to find and use information successfully is an essential skill for life and work.

Today’s students have more information at their fingertips than ever before and this means the role of the teacher as a guide is more important than ever.

You might be wondering how you can fit teaching research skills into a busy curriculum? There aren’t enough hours in the day! The good news is, there are so many mini-lessons you can do to build students’ skills over time.

This post outlines 50 ideas for activities that could be done in just a few minutes (or stretched out to a longer lesson if you have the time!).

Learn More About The Research Process

I have a popular post called Teach Students How To Research Online In 5 Steps. It outlines a five-step approach to break down the research process into manageable chunks.

This post shares ideas for mini-lessons that could be carried out in the classroom throughout the year to help build students’ skills in the five areas of: clarify, search, delve, evaluate , and cite . It also includes ideas for learning about staying organised throughout the research process.

Notes about the 50 research activities:

• These ideas can be adapted for different age groups from middle primary/elementary to senior high school.
• Many of these ideas can be repeated throughout the year.
• Depending on the age of your students, you can decide whether the activity will be more teacher or student led. Some activities suggest coming up with a list of words, questions, or phrases. Teachers of younger students could generate these themselves.
• Depending on how much time you have, many of the activities can be either quickly modelled by the teacher, or extended to an hour-long lesson.
• Some of the activities could fit into more than one category.
• Looking for simple articles for younger students for some of the activities? Try DOGO News or Time for Kids . Newsela is also a great resource but you do need to sign up for free account.
• Why not try a few activities in a staff meeting? Everyone can always brush up on their own research skills!

• Choose a topic (e.g. koalas, basketball, Mount Everest) . Write as many questions as you can think of relating to that topic.
• Make a mindmap of a topic you’re currently learning about. This could be either on paper or using an online tool like Bubbl.us .
• Read a short book or article. Make a list of 5 words from the text that you don’t totally understand. Look up the meaning of the words in a dictionary (online or paper).
• Look at a printed or digital copy of a short article with the title removed. Come up with as many different titles as possible that would fit the article.
• Come up with a list of 5 different questions you could type into Google (e.g. Which country in Asia has the largest population?) Circle the keywords in each question.
• Write down 10 words to describe a person, place, or topic. Come up with synonyms for these words using a tool like  Thesaurus.com .
• Write pairs of synonyms on post-it notes (this could be done by the teacher or students). Each student in the class has one post-it note and walks around the classroom to find the person with the synonym to their word.

• Explore how to search Google using your voice (i.e. click/tap on the microphone in the Google search box or on your phone/tablet keyboard) . List the pros and cons of using voice and text to search.
• Open two different search engines in your browser such as Google and Bing. Type in a query and compare the results. Do all search engines work exactly the same?
• Have students work in pairs to try out a different search engine (there are 11 listed here ). Report back to the class on the pros and cons.
• Think of something you’re curious about, (e.g. What endangered animals live in the Amazon Rainforest?). Open Google in two tabs. In one search, type in one or two keywords ( e.g. Amazon Rainforest) . In the other search type in multiple relevant keywords (e.g. endangered animals Amazon rainforest).  Compare the results. Discuss the importance of being specific.
• Similar to above, try two different searches where one phrase is in quotation marks and the other is not. For example, Origin of “raining cats and dogs” and Origin of raining cats and dogs . Discuss the difference that using quotation marks makes (It tells Google to search for the precise keywords in order.)
• Try writing a question in Google with a few minor spelling mistakes. What happens? What happens if you add or leave out punctuation ?
• Try the AGoogleADay.com daily search challenges from Google. The questions help older students learn about choosing keywords, deconstructing questions, and altering keywords.
• Explore how Google uses autocomplete to suggest searches quickly. Try it out by typing in various queries (e.g. How to draw… or What is the tallest…). Discuss how these suggestions come about, how to use them, and whether they’re usually helpful.
• Watch this video  from Code.org to learn more about how search works .
• Take a look at  20 Instant Google Searches your Students Need to Know  by Eric Curts to learn about “ instant searches ”. Try one to try out. Perhaps each student could be assigned one to try and share with the class.
• Experiment with typing some questions into Google that have a clear answer (e.g. “What is a parallelogram?” or “What is the highest mountain in the world?” or “What is the population of Australia?”). Look at the different ways the answers are displayed instantly within the search results — dictionary definitions, image cards, graphs etc.

• Watch the video How Does Google Know Everything About Me?  by Scientific American. Discuss the PageRank algorithm and how Google uses your data to customise search results.
• Brainstorm a list of popular domains   (e.g. .com, .com.au, or your country’s domain) . Discuss if any domains might be more reliable than others and why (e.g. .gov or .edu) .
• Discuss (or research) ways to open Google search results in a new tab to save your original search results  (i.e. right-click > open link in new tab or press control/command and click the link).
• Try out a few Google searches (perhaps start with things like “car service” “cat food” or “fresh flowers”). A re there advertisements within the results? Discuss where these appear and how to spot them.
• Look at ways to filter search results by using the tabs at the top of the page in Google (i.e. news, images, shopping, maps, videos etc.). Do the same filters appear for all Google searches? Try out a few different searches and see.
• Type a question into Google and look for the “People also ask” and “Searches related to…” sections. Discuss how these could be useful. When should you use them or ignore them so you don’t go off on an irrelevant tangent? Is the information in the drop-down section under “People also ask” always the best?
• Often, more current search results are more useful. Click on “tools” under the Google search box and then “any time” and your time frame of choice such as “Past month” or “Past year”.
• Have students annotate their own “anatomy of a search result” example like the one I made below. Explore the different ways search results display; some have more details like sitelinks and some do not.

• Find two articles on a news topic from different publications. Or find a news article and an opinion piece on the same topic. Make a Venn diagram comparing the similarities and differences.
• Choose a graph, map, or chart from The New York Times’ What’s Going On In This Graph series . Have a whole class or small group discussion about the data.
• Look at images stripped of their captions on What’s Going On In This Picture? by The New York Times. Discuss the images in pairs or small groups. What can you tell?
• Explore a website together as a class or in pairs — perhaps a news website. Identify all the advertisements .
• Have a look at a fake website either as a whole class or in pairs/small groups. See if students can spot that these sites are not real. Discuss the fact that you can’t believe everything that’s online. Get started with these four examples of fake websites from Eric Curts.
• Give students a copy of my website evaluation flowchart to analyse and then discuss as a class. Read more about the flowchart in this post.
• As a class, look at a prompt from Mike Caulfield’s Four Moves . Either together or in small groups, have students fact check the prompts on the site. This resource explains more about the fact checking process. Note: some of these prompts are not suitable for younger students.
• Practice skim reading — give students one minute to read a short article. Ask them to discuss what stood out to them. Headings? Bold words? Quotes? Then give students ten minutes to read the same article and discuss deep reading.

All students can benefit from learning about plagiarism, copyright, how to write information in their own words, and how to acknowledge the source. However, the formality of this process will depend on your students’ age and your curriculum guidelines.

• Watch the video Citation for Beginners for an introduction to citation. Discuss the key points to remember.
• Look up the definition of plagiarism using a variety of sources (dictionary, video, Wikipedia etc.). Create a definition as a class.
• Find an interesting video on YouTube (perhaps a “life hack” video) and write a brief summary in your own words.
• Have students pair up and tell each other about their weekend. Then have the listener try to verbalise or write their friend’s recount in their own words. Discuss how accurate this was.
• Read the class a copy of a well known fairy tale. Have them write a short summary in their own words. Compare the versions that different students come up with.
• Try out MyBib — a handy free online tool without ads that helps you create citations quickly and easily.
• Give primary/elementary students a copy of Kathy Schrock’s Guide to Citation that matches their grade level (the guide covers grades 1 to 6). Choose one form of citation and create some examples as a class (e.g. a website or a book).
• Make a list of things that are okay and not okay to do when researching, e.g. copy text from a website, use any image from Google images, paraphrase in your own words and cite your source, add a short quote and cite the source. 
• Have students read a short article and then come up with a summary that would be considered plagiarism and one that would not be considered plagiarism. These could be shared with the class and the students asked to decide which one shows an example of plagiarism .
• Older students could investigate the difference between paraphrasing and summarising . They could create a Venn diagram that compares the two.
• Write a list of statements on the board that might be true or false ( e.g. The 1956 Olympics were held in Melbourne, Australia. The rhinoceros is the largest land animal in the world. The current marathon world record is 2 hours, 7 minutes). Have students research these statements and decide whether they’re true or false by sharing their citations.

Staying Organised

• Make a list of different ways you can take notes while researching — Google Docs, Google Keep, pen and paper etc. Discuss the pros and cons of each method.
• Learn the keyboard shortcuts to help manage tabs (e.g. open new tab, reopen closed tab, go to next tab etc.). Perhaps students could all try out the shortcuts and share their favourite one with the class.
• Find a collection of resources on a topic and add them to a Wakelet .
• Listen to a short podcast or watch a brief video on a certain topic and sketchnote ideas. Sylvia Duckworth has some great tips about live sketchnoting
• Learn how to use split screen to have one window open with your research, and another open with your notes (e.g. a Google spreadsheet, Google Doc, Microsoft Word or OneNote etc.) .

All teachers know it’s important to teach students to research well. Investing time in this process will also pay off throughout the year and the years to come. Students will be able to focus on analysing and synthesizing information, rather than the mechanics of the research process.

By trying out as many of these mini-lessons as possible throughout the year, you’ll be really helping your students to thrive in all areas of school, work, and life.

Also remember to model your own searches explicitly during class time. Talk out loud as you look things up and ask students for input. Learning together is the way to go!

You Might Also Enjoy Reading:

How To Evaluate Websites: A Guide For Teachers And Students

Five Tips for Teaching Students How to Research and Filter Information

Typing Tips: The How and Why of Teaching Students Keyboarding Skills

8 Ways Teachers And Schools Can Communicate With Parents

10 Replies to “50 Mini-Lessons For Teaching Students Research Skills”

Loving these ideas, thank you

This list is amazing. Thank you so much!

So glad it’s helpful, Alex! 🙂

Hi I am a student who really needed some help on how to reasearch thanks for the help.

So glad it helped! 🙂

seriously seriously grateful for your post. 🙂

So glad it’s helpful! Makes my day 🙂

How do you get the 50 mini lessons. I got the free one but am interested in the full version.

Hi Tracey, The link to the PDF with the 50 mini lessons is in the post. Here it is . Check out this post if you need more advice on teaching students how to research online. Hope that helps! Kathleen

Best wishes to you as you face your health battler. Hoping you’ve come out stronger and healthier from it. Your website is so helpful.

Comments are closed.

Teaching Research Papers with High School Students

Teaching research papers with high school students? Teaching students how to write a research paper is an important part of an ELA class. Here are guidelines to make this writing unit a success.

Lawyers, political organizers, advertisers, real estate agents: most jobs require ethical research and then a written report. As a citizen, I research concepts important to my community and family. As knowledge in our world grows, student will only have more reasons to be ethical digital citizens.

Providing students with a sustainable foundation is a humbling responsibility. Teachers know that teaching students how to write a research paper is important. While teaching students how to research, I share those sentiments with them. I want students to know I take research seriously, and my expectation is that they will as well. My research paper lesson plans take into account the seriousness of ethical research.

What is the best way to teach research papers to students?

The best way to teach research papers to students is by breaking down the process into manageable steps. Start with teaching them how to choose a topic, conduct research, and create an outline/list/graphic organizer. Then guide them in writing drafts, revising and editing their papers, and properly citing sources.

Even after teaching for a decade, I sometimes overwhelm myself with this duty. I handle teaching research papers with four ideas in my mind.

Provide clear expectations.

Idea one, be clear.

A feeling I always hated as a student was the unknown . Sure, part of the learning process is not knowing everything and making mistakes. I, as the teacher, don’t want to be the source of frustration though. I never want my classes to wander down a path that won’t advance them toward our end goal: a well-researched paper. Part of teaching research skills to high school students is providing clear expectations.

As writing in the ELA classroom becomes more digital, I simply give writers tools on our online learning platform. That way, I can remind them to check a certain section or page as we collaborate on their writing.

Give a writing overview.

Idea two, provide an overview.

Every teacher grades a little differently. Sometimes, terminology differs. Throw in the stress of research, and you might have a classroom of overwhelmed students. An overview before teaching research papers can relax everyone!

I start every writing unit with clear expectations, terminology, and goals. I cover a presentation with students, and then I upload it to Google Classroom. Students know to consult that presentation for clarity. Initially, covering the basics may seem wasteful, but it saves all of us time because students know my expectations.

Furthermore, parents and tutors appreciate my sharing that information. As students work independently (inside or outside of class), they can take it upon themselves to consult expectations. Their responsibility with this prepares them for their futures. Finally, having established that overview with students during virtual classes was invaluable.

Show an overview of research.

Idea three, clearly explain research.

Before you begin teaching students how to research, outline what strong research looks like. You might consider these questions:

• What (if any) secondary sources will I accept? What about Wikipedia?
• Should students use a balance of books and online material? Do they have access to books?
• Are dates for certain topics important? Will I not accept research from before a certain date?

I’m not answering these questions for you, but I’ve seen teachers provide such guidelines while teaching research skills to high school students. Whatever parameters you have for teaching the research paper, share those with students.

Define domain-specific vocabulary.

Idea four, don’t assume classes share the same domain-specific vocabulary.

High school classes are likely familiar with the writing process, yet the research process brings more vocabulary with which they might not be familiar.

Providing definitions for the most basic concepts enables me to walk through expectations and clarify concepts. Examples might include:

• Informational text
• Search engine
• Credible sources
• Claim, counterclaim
• Research question
• Journal articles

Plus, by providing definitions to terms, scaffolding occurs naturally. Academic writing has terms we teachers might use casually, but some students maybe have not heard of them.

How can we model ethical research?

After outlining expectations to young writers, we begin research. Some schools rely on Google Scholar, and others use Explora or EBSCO. Sign students into your databases, and run them through the program.

I stress to young writers that conducting oneself with honesty and integrity is crucial to writing. When teaching research papers with high school students, I connect these ethics to their very near futures. Aside from the basics of documenting and citing, I highlight these two points.

• Citing material. This includes direct quotes and paraphrasing. I review both of those concepts throughout our research and writing. The majority of a paper should be the writer’s thoughts, supported by research. Students need those concepts repeated, and they are important, so I spend time emphasizing them.

Often, I turn the basics of research into a writing mini lesson . Modeling ethical research is a very specific part of ELA classes. I understand that other classes require research and that parents might teach research skills as well.

Still, to have a functioning society, students must view relevant information with critical eyes. Teaching young citizens how to write a research paper includes clear guidelines for research and one-on-one conferencing.

How can we encourage strong writing?

Hopefully, students write with passion. Hopefully, they want to show or prove their statements. Teaching students how to write a research paper is easier when students enjoy their topics.

I cover grammar with students (all year), and I always make the connection for them to implement those lessons. Teaching them to write a research paper requires some focus on writing skills. Primarily, they will work on strong verbs and syntax.

Look at verbs.

Students possess strong verbs in their vocabularies. Sometimes in writing, humans create a fast rough draft, myself included. Every verb is a linking verb, and every sentence reads subject + linking verb + predicate adjective. (Nothing is wrong with a linking verb, but writers should break from the mold.) When I see that a paper can be improved with strong verbs, we conference about ways to improve the verbs without thesaurus abuse.

Ask students to pick their least favorite paragraph in a research paper and to highlight every verb . Chances are, they are not conveying their message because of weak verbs. Help them turn the predicate adjectives into verbs or think of an action that will convey their meaning. Additionally as you continue teaching students how to research, you’ll cross strong verbs in research. Point out those verbs to your classes.

Examine syntax.

Just as every sentence shouldn’t contain a linking verb, not every sentence should be a simple sentence. Sentence syntax takes practice, and often teamwork! Ask students to provide a sentence that needs improvement. Break the sentence down into phrases and clauses. (If it is a simple sentence, ask for another sentence to attach.) What is the best arrangement? What is the student’s goal? Would a conjunctive adverb lead readers to a conclusion? What if a subordinating conjunction started the sentence, or, should the dependent clause come second in the complex sentence? Play with the language of papers! By connecting grammar to writing, you have empowered learners to improve their writing.

Sentence structure is also part of teaching students how to write a research paper because the information must be factual. Sometimes students report information incorrectly, and sometimes, their sentence structure is to blame. Focus on a return to simple syntax for ethical research, and then work on sentence diversity if possible.

All parts of an ELA classroom fit together like puzzle pieces, and when teaching research papers, that neatly assembled puzzle sits on display. By giving classes clear expectations, you are ready to guide them through ethical research and through strengthening their writing. Teaching the research paper is a large task, so you should know what you want to accomplish.

Is scaffolding teaching research papers possible?

Overall, a research unit takes me 2-3 weeks with high school students. Every teacher has different methodologies, but if I allow writing research papers for about a month, writers become bored. Fifteen working days for research, revision, and publishing is my average time frame. Going longer, and different aspects fall apart, and we lose momentum.

Scaffolding is built into our days. Outline the writing process with your calendar, and add days that follow the writing process. Pieces to consider:

Scaffold writing errors.

Overall, writing errors are an inevitable part of the learning process. As teachers, it is crucial that we address these errors in a way that not only corrects them but also helps students understand why they occurred in the first place. When it comes to research papers, grammatical errors can significantly affect the credibility and clarity of the information presented.

One effective way to scaffold writing errors is by focusing on the actual problems that classes have in their papers. When we conference, I jot down common errors and then cover them as a class.

Include revising and editing days.

Young writers should take ownership of the writing process which includes revising and editing. This can be achieved by dedicating specific days in the research unit for revising and editing. By allotting time for these crucial steps, writers will learn to critically analyze their work and make necessary improvements.

During the revision phase, students can focus on the overall structure and organization of their research paper. They should evaluate if their arguments are clear and logical, if the evidence supports their claims effectively, and if there is a smooth flow of ideas throughout the paper. This stage allows them to refine their content and ensure that it aligns with their desired objectives.

After revising, students should move toward publishing and sharing with their peers.

Your turn, writing teachers: What questions do you have left?

All activities mentioned in this post (except the common errors bundle) are included in my writing bundle for freshmen and sophomores .

What questions remain? Do you have different advice to offer teachers?

What do you focus on with when teaching research papers? Read how Melissa from Reading and Writing Haven differentiates when teaching research writing .  

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ethical research writing activities writing lessons writing process

Watch CBS News

Here are the most expensive and cheapest stores for school supplies

By Kate Gibson

Edited By Anne Marie Lee

Updated on: August 13, 2024 / 12:47 PM EDT / CBS News

Back-to-school shopping is well underway, with more than half of consumers already buying supplies for upcoming classes, according to a survey  from the National Retail Federation. With spending expected to reach $38.8 billion, according to the NRF, shoppers may want to do some homework before busting the family budget. 

Depending on the student's age, the tab for back-to-school supplies can vary. The NRF's projections, for instance, include those shopping for college and factor in products such as laptops, clothing and shoes. 

Other related costs include items for the extracurricular activities that 86% of parents report having enrolled their kids in ahead of fall classes. The average cost of supplies, including fees and equipment, comes to $582 a child, a survey by Deloitte  found .

Parents plan to spend an average of $586 per child on school items this year, according to the poll of 1,200 U.S.-based parents of school-aged children conducted in May. 

With that in mind, here are some cost-saving tips for back-to-school shopping.

Crayons, glue sticks and construction paper

Website FinanceBuzz offers a rundown of the most expensive and least expensive stores to load up on supplies for kids going to elementary, middle and high school. 

The site added up the total cost of 20 basic items: Crayons, glue sticks, construction paper, markers, pencil box, safety scissors, scientific calculator, notebooks, ruler, binders, loose-leaf paper, folders, backpack, lunch box, pencils, pens, highlighters, combination lock, dry-erase markers and a box of tissues. The average cost of those supplies came to $106.73, according to data the site collected from store websites.

In looking at 10 major retailers, FinanceBuzz found Walmart to be the least expensive, with prices for those 20 common items coming to $67.37, or 37% below average. At Dollar General and Target, those items could also be purchased for under $100, or $70.50 and $83.25, respectively. Fulfilling the list came to $101.60 at Staples, the fourth cheapest store to stock up on school supplies, according to the site.  

Michaels had the most expensive school supplies, with the FinanceBuzz team tallying up the cost at $185.28, nearly three times what it would cost for the same products at Walmart. Walgreens and Office Depot were the second and third most pricey, with the former costing $134.61 and the latter $121.55. The 20 items could be found on Amazon for $119.07, making the retailing giant the fourth priciest. 

Buying the supplies at Meijer would cost $109.25 and at Kroger the tab would run $114.01, according to the site, which noted that both grocers had become "everything" stores. 

Many people choose to shop online at Amazon due to the convenience, but the cost of shipping can surpass the value of some products, leading Amazon to hike those prices. "As a result, school items like crayons, construction paper and rulers are more expensive to buy from Amazon than any other retailer," the researchers noted. 

Research options, discounts

Consumer Reports advises taking the time to research your options, including deals, discounts and price comparisons.  

Another potential cost-saving measure is to ask teachers what supplies are needed right away and what purchases can be delayed, as there are still deals to be found after school starts, the nonprofit advocacy group offered.

Other tips from CR include searching for student discounts, as some retailers and brands run special promotions at this time — and some offer student discounts all year long. Those can include offers on tech, clothing, dorm supplies, phone plans and online subscriptions. 

Also, take advantage of sales tax holidays. More than a dozen of the 45 states that collect sales taxes have holidays from the levy during the summer.

CR also advises those looking for the biggest bang for their buck to spread out their shopping. Wholesale clubs can be a particularly thrifty move for large or multiple families who can divvy up bulk supplies. 

Keeping an eye on sales after you are done shopping can also cut costs. If something goes on sale after you bought it, you might be able to get some of your money back, depending on the retailer's policy. Some allow two weeks for such requests, according to CR. If that approach does not work, you can also return and repurchase the item, the consumer site said.

Kate Gibson is a reporter for CBS MoneyWatch in New York, where she covers business and consumer finance.

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50 Easy and Fun Crafts for Kids That Will Spark Their Imagination

Boost your child's creativity with these DIY projects that'll keep them entertained at home or school.

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There are skills that kids of all ages can master through crafts – whether it’s enhancing their fine motor skills through gluing or cutting or learning how to problem-solve when things don’t turn out as planned, kids learn through doing. Plus, crafting can give kids a sense of ownership and accomplishment. They can select their own colors and patterns when it comes to painting and add their own flare to their decorating. Most of these crafts can be completed by kids on their own with adult supervision. However, there are some that may require a bit more assistance on your end. The good news? Most of these projects are free and only call for supplies you already have lying around the house.

Whether you have toddlers, tweens or any age in between, these fun crafts are bound to inspire your kids to get creative with everyday materials like popsicle sticks, coffee filters, buttons, beads and more. We’ve also rounded up a few holiday-themed crafts, including Halloween crafts , Earth Day crafts and Valentine's Day crafts .

Put leftover boxes to good use with this DIY book bin craft. All you have to do is cover the box with construction paper and clear packing tape. You can also add a book series logo or write your own design on the front for added personalization. This craft is also a fun way to help kids stay organized and may even encourage more reading.

Get the tutorial at Crafting Cheerfully »

Pipe Cleaner Spider

With very minimal supplies, kids can create their own spider friends. Simply punch holes in a paper plate, wrap pipe cleaners through and design the face with a smile and googly eyes.

Get the tutorial at A Sparkle of Genius »

Origami Hearts

Whether you're celebrating Valentine's Day or your kids just want to practice their cutting and folding skills, these simple paper hearts are an easy way to get them interested in origami crafts. With just thick paper, scissors and their two hands, kids will be able to transform the colored paper of their choice into a cute decorative heart.

Get the tutorial at Alice & Lois »

Bedroom Door Sign

With a small chalkboard, watercolor paint and some ribbon, kids can have fun decorating a sign to hang outside their bedroom door. The best part? They can change their message as often as they want so that the craft lives on even after the main work is completed.

SHOP MINI CHALKBOARDS

Rock Painting

Rock painting is a simple, fun project that combines outdoor activity with crafting. Plus, kids can have complete creative control over what they paint on their rocks. Whether it's a cartoon face or a design of some sort, their rock painting can be put to display in the garden or indoors.

Get the tutorial at Crafty Little Gnome »

Minion Pencils

If your kids love the "Despicable Me" franchise, these minion pencils are the perfect craft for them. With pencils, googly eyes and foam paper, create your own mischievious minion. Draw on facial expressions with a black Sharpie and voila – writing just got more fun.

Get the tutorial at Kid Friendly Things to Do »

Styrofoam Cup Crabs

Perfect for a beach day, these styrofoam cup crabs are easy to make and require little materials. Paint a cup the color of your choice, cut some pipe cleaners for legs and add googly eyes up top.

Get the tutorial at Crafts by Amanda »

Branch Spider Web Wreath

Preparing for Halloween? Try out this wreath made from spider webbing and twigs! Have your kids gather some sticks, cutting or breaking them so that they are between five and ten inches long. Assist them in cutting a wreath shape out of cardboard. It should be around twelve inches in diameter with a five-inch circle cut out from the inside. Hot glue the twigs to the wreath, layering them so that they fill up all of the space on the cardboard. After drying, stretch spider webbing around and tuck in a few fake spiders with hot glue.

SHOP SPIDER WEBBING

Embellished Bow

Here's a quick way to take a basic straw basket to the next level! Kids can embellish bows with iron-on patches and stenciled monograms. Help them create their own bows using a 3" wired ribbon or purchase a large one to design. Then, use fabric glue to attach the decorative patches.

Monster Windsocks

This is a great group project for the kids. Let the kids cut, fold and draw on cardstock to create wide-eyed monster windsocks for the backyard.

Paper Flowers

They'll enjoy making these colorful paper flowers to decorate their bedrooms. They'll first fold dyed cupcake liners in half and cut out petal and fringe shapes. Have them fold a piece of floral wire in half and twist it around the faux flower stamen. Poke the wire through the center of three to four paper liners. Finish it off by wrapping floral tape around the base of the liners and bringing it all the way down the stem.

SHOP CUPCAKE LINERS

Paper Bag Kite

Spring is the perfect time to fly a kite. Luckily, kids can make their own with paper lunch bags. Let them embellish the bags with stickers, washi tape, paint and any other accessories. Then, work on attaching the yarn and streamers so the kite will be ready to fly.

Get the tutorial at Typically Simple »

Carrot Treat Cones

Easter may have passed, but that doesn't mean this carrot treat cone craft should too! To make, you'll need to print out our carrot template . Then gather the essentials: coffee filters, orange paper, double-stick tape, green craft paint, twine, a clothespin, a wire hanger, paper towel and scissors.

• Mix a few drops of green craft paint with water until it reaches the consistency of milk. Soak coffee filters in the paint mixture until fully saturated (you can do this simultaneously).
• Squeeze out excess paint and lay the filters flat to dry on paper towels or hang them from a hanger with a clip or clothespin. Download our template and trace it onto orange paper.
• Cut out and roll the template into a cone shape, adhering the sides with double stick tape. Cut out the center of the painted coffee filters.
• Attach the remaining paper to the inside edge of the cone with double-stick tape. Fill the “carrot” cone with small treats and tie twine around the top to close.

Dinosaur Nightlife Terrarium

Transform mason jars into terrariums fit for mini plastic dinosaurs. It also makes a creative nightlight for kids who are still scared of the dark.

Clay Crab Necklace

If your kids are obsessed with sea creatures, they'll love making and wearing their very own crab necklaces. Plus, the craft only requires clay, twine and an eye hook.

Get the tutorial at Hello Wonderful »

Cardboard Suns

Here's an eco-friendly craft that requires lots of cardboard and creativity. Help your little ones cut, paint and design large and mini cardboard suns to scatter around the backyard.

Get the tutorial at The House That Lars Built »

Paint Marker Candles

Grab some paint markers (or acrylic paint) and watch them draw flowers, swirls and all sorts of cool shapes and designs on taper candles. Use a clean cloth with rubbing alcohol to remove any lint and debris before starting.

SHOP TAPER CANDLES

Toilet Paper Frog

You're sure to have these supplies in your kid's craft box. Grab those discarded toilet paper rolls for kids to paint and turn into frogs. Then, have them transform paper plates into lily pads.

Get the tutorial at The Best Ideas for Kids »

Painted Baskets

It doesn't get more simple than this: Kids can spend time outdoors painting the wood strips of plain wooden baskets to carry their toys in and out of the house.

SHOP ACRYLIC PAINT

Pool Noodle Boats

After making these eye-catching boats, let kids set them afloat in the tub or swimming pool. It's a fun craft to recycle any old pool noodles and paper straws.

Mariah Thomas (she/her) is an assistant editor for Good Housekeeping , where she covers home and lifestyle content. Mariah has more than four years of editorial experience, having written for TLC, Apartment Therapy, Women's Health and Avocado Magazine . She received her master's degree in journalism at the Craig Newmark Graduate School of Journalism and published her first book, Heart and Soul: Poems of Thoughts and Emotions , in 2019. She's also the founder of RTF Community , a platform for creatives of color to connect, learn and showcase their work. 

Laura Millar (she/her) is the assistant editor for Good Housekeeping , where she covers home design. Prior to joining Good Housekeeping in 2024, she wrote for NBC’s TODAY.com where she covered everything from entertainment news to product reviews to pop culture updates.

@media(max-width: 64rem){.css-o9j0dn:before{margin-bottom:0.5rem;margin-right:0.625rem;color:#ffffff;width:1.25rem;bottom:-0.2rem;height:1.25rem;content:'_';display:inline-block;position:relative;line-height:1;background-repeat:no-repeat;}.loaded .css-o9j0dn:before{background-image:url(/_assets/design-tokens/goodhousekeeping/static/images/Clover.5c7a1a0.svg);}}@media(min-width: 48rem){.loaded .css-o9j0dn:before{background-image:url(/_assets/design-tokens/goodhousekeeping/static/images/Clover.5c7a1a0.svg);}} Crafts & DIY Projects

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School of Environment, Society & Sustainability

College of social & behavioral science, main navigation, human activities shape global patterns of decomposition rates in rivers.

ESS Professor, Jenn Follstad Shah, along with a team of researchers collected field data from sites around the world and used predictive modeling and machine-learning algorithms to fill in those gaps. The field study involved 550 rivers from around the globe. More than 150 researchers in 40 countries contributed samples using a standardized field assay based on the decomposition of small pieces of cotton fabric.

The study reported the highest decomposition rates among densely populated, agricultural areas, including parts of the United States, Europe and Southeast Asia. Agricultural and urban runoff, the authors point out, is a major contributor to the increase in carbon emissions responsible for climate change.

Read the full research article featured in the journal Science . Check out a Q&A with Dr. Jenn Shah featured in @theU , and an interview on KUER News' All Things Considered program .   

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Massive biomolecular shifts occur in our 40s and 60s, Stanford Medicine researchers find

Time marches on predictably, but biological aging is anything but constant, according to a new Stanford Medicine study.

August 14, 2024 - By Rachel Tompa

We undergo two periods of rapid change, averaging around age 44 and age 60, according to a Stanford Medicine study. Ratana21 /Shutterstock.com

If it’s ever felt like everything in your body is breaking down at once, that might not be your imagination. A new Stanford Medicine study shows that many of our molecules and microorganisms dramatically rise or fall in number during our 40s and 60s.

Researchers assessed many thousands of different molecules in people from age 25 to 75, as well as their microbiomes — the bacteria, viruses and fungi that live inside us and on our skin — and found that the abundance of most molecules and microbes do not shift in a gradual, chronological fashion. Rather, we undergo two periods of rapid change during our life span, averaging around age 44 and age 60. A paper describing these findings was published in the journal Nature Aging Aug. 14.

“We’re not just changing gradually over time; there are some really dramatic changes,” said Michael Snyder , PhD, professor of genetics and the study’s senior author. “It turns out the mid-40s is a time of dramatic change, as is the early 60s. And that’s true no matter what class of molecules you look at.”

Xiaotao Shen, PhD, a former Stanford Medicine postdoctoral scholar, was the first author of the study. Shen is now an assistant professor at Nanyang Technological University Singapore.

These big changes likely impact our health — the number of molecules related to cardiovascular disease showed significant changes at both time points, and those related to immune function changed in people in their early 60s.

Abrupt changes in number

Snyder, the Stanford W. Ascherman, MD, FACS Professor in Genetics, and his colleagues were inspired to look at the rate of molecular and microbial shifts by the observation that the risk of developing many age-linked diseases does not rise incrementally along with years. For example, risks for Alzheimer’s disease and cardiovascular disease rise sharply in older age, compared with a gradual increase in risk for those under 60.

The researchers used data from 108 people they’ve been following to better understand the biology of aging. Past insights from this same group of study volunteers include the discovery of four distinct “ ageotypes ,” showing that people’s kidneys, livers, metabolism and immune system age at different rates in different people.

Michael Snyder

The new study analyzed participants who donated blood and other biological samples every few months over the span of several years; the scientists tracked many different kinds of molecules in these samples, including RNA, proteins and metabolites, as well as shifts in the participants’ microbiomes. The researchers tracked age-related changes in more than 135,000 different molecules and microbes, for a total of nearly 250 billion distinct data points.

They found that thousands of molecules and microbes undergo shifts in their abundance, either increasing or decreasing — around 81% of all the molecules they studied showed non-linear fluctuations in number, meaning that they changed more at certain ages than other times. When they looked for clusters of molecules with the largest changes in amount, they found these transformations occurred the most in two time periods: when people were in their mid-40s, and when they were in their early 60s.

Although much research has focused on how different molecules increase or decrease as we age and how biological age may differ from chronological age, very few have looked at the rate of biological aging. That so many dramatic changes happen in the early 60s is perhaps not surprising, Snyder said, as many age-related disease risks and other age-related phenomena are known to increase at that point in life.

The large cluster of changes in the mid-40s was somewhat surprising to the scientists. At first, they assumed that menopause or perimenopause was driving large changes in the women in their study, skewing the whole group. But when they broke out the study group by sex, they found the shift was happening in men in their mid-40s, too.

“This suggests that while menopause or perimenopause may contribute to the changes observed in women in their mid-40s, there are likely other, more significant factors influencing these changes in both men and women. Identifying and studying these factors should be a priority for future research,” Shen said.

Changes may influence health and disease risk

In people in their 40s, significant changes were seen in the number of molecules related to alcohol, caffeine and lipid metabolism; cardiovascular disease; and skin and muscle. In those in their 60s, changes were related to carbohydrate and caffeine metabolism, immune regulation, kidney function, cardiovascular disease, and skin and muscle.

It’s possible some of these changes could be tied to lifestyle or behavioral factors that cluster at these age groups, rather than being driven by biological factors, Snyder said. For example, dysfunction in alcohol metabolism could result from an uptick in alcohol consumption in people’s mid-40s, often a stressful period of life.

The team plans to explore the drivers of these clusters of change. But whatever their causes, the existence of these clusters points to the need for people to pay attention to their health, especially in their 40s and 60s, the researchers said. That could look like increasing exercise to protect your heart and maintain muscle mass at both ages or decreasing alcohol consumption in your 40s as your ability to metabolize alcohol slows.

“I’m a big believer that we should try to adjust our lifestyles while we’re still healthy,” Snyder said.

The study was funded by the National Institutes of Health (grants U54DK102556, R01 DK110186-03, R01HG008164, NIH S10OD020141, UL1 TR001085 and P30DK116074) and the Stanford Data Science Initiative.

• Rachel Tompa Rachel Tompa is a freelance science writer.

About Stanford Medicine

Stanford Medicine is an integrated academic health system comprising the Stanford School of Medicine and adult and pediatric health care delivery systems. Together, they harness the full potential of biomedicine through collaborative research, education and clinical care for patients. For more information, please visit med.stanford.edu .

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