Skip to main content
Journal of Sport and Health Science logoLink to Journal of Sport and Health Science
. 2019 Jun 18;9(1):50–52. doi: 10.1016/j.jshs.2019.06.005

What do teachers see? Perceptions of school-time physical activity programs on student behavior

Jennifer M Sacheck a,, Catherine M Wright b
PMCID: PMC6943781  PMID: 31921480

1. Background

In the United States, children are not meeting daily recommendations for 60 min of moderate-to-vigorous activity.1 Because children spend a large portion of their days in school, it has been further recommended that children accumulate 30 min of their physical activity (PA) during school hours.2 Our previous research has demonstrated with objective measures that only 8%–9% of elementary school children meet this goal, with an average accumulation of 18 min/day.3, 4 This finding is of concern given the numerous benefits that PA has not only on health outcomes,5, 6, 7, 8 but also on academic achievement.9 For example, there is heightened awareness that children benefit from PA throughout the school day in terms of attention to task, memory, behavior, and, ultimately, academic performance.10 School administrators acknowledge this link, but still face barriers to incorporating PA for schoolchildren, including limited time and resources for physical education (PE) and recess.

Given the positive associations between PA and academic achievement, as well as limited time and resources available for scheduled PE, schools are looking for innovative approaches to integrate PA throughout the school day. The randomized, controlled Fueling Learning through Exercise (FLEX) Study was designed to be a real-world experiment on the implementation of 2 innovative school-based PA programs that would complement traditional PE and recess in lower income elementary schools.4,11, 12, 13 Although the FLEX Study's primary outcomes were to assess objective measures of changes in PA and their link to standardized test scores over 2 academic years, the reality of getting schools to implement these programs relied heavily on buy-in from the teachers,14 where such factors as the day-to-day benefits of improved student attention and classroom behaviors following PA programming are highly desirable. Unfortunately, these measures are much more difficult to collect objectively and systematically.15

Given that implementation of PA programming during the school day often relies heavily on teacher and staff support,14, 16 we sought to understand teachers’ perceptions of how these 2 different PA programs impacted student behavior. For many teachers, improved classroom behaviors would justify the “cost” (time) and “benefit” (students’ improved attention to studies) and thus their willingness to continue to implement programming. Understanding teachers’ perceptions of the costs vs. the benefits of implementing these programs is critical for their long-term sustainability and broader dissemination if they are to ultimately have a positive impact on children's health and academic achievement.

2. Evaluation of FLEX teachers' perceptions of student behaviors

The FLEX Study included 18 schools from lower income school districts across Massachusetts. Schools were randomized to either control (n = 5) or one of 2 PA programs—the 100 Mile Club (n = 7), a walking/running program, typically led by a PE teacher or administrator, in which children work to accrue 100 miles over the course of the school year, or Choosing Healthy and Active Lifestyles for Kids (CHALK)/Just Move (n = 6), in which teachers led in-classroom PA breaks.11 Participants enrolled at baseline included 979 students in 3rd and 4th grades; 60% were non-white. The programs were implemented over 2 school years. We conducted an on-site substudy of FLEX classroom teachers during Year 2 of the interventions (n = 6 from 100 Mile Club schools and n = 8 from CHALK/Just Move schools). Teachers were asked to evaluate their students’ behavior and attention in the 15 min after the students had participated in either the 100 Mile Club or CHALK/Just Move sessions compared with days when these sessions were not offered. Survey items, drawn from a validated instrument,17 were grouped into those reflecting positive behaviors (8 items) and those reflecting problem behaviors (10 items) (Fig. 1). Teachers were asked to report, on an 8-point Likert scale from nonetoall of the students, the proportion of students in their classroom who demonstrated the behaviors.

Fig. 1.

Fig 1

Measures of teacher-reported classroom behaviors following Fueling Learning through Exercise (FLEX) Study Physical Activity programming.

3. Perceptions of behaviors in 100 Mile Club and CHALK/Just Move

Teachers (mean age, 36.0 and 41.5 years; mean years of teaching experience, 5.3 and 10.8; for the 100 Mile Club and Chalk/Just Move interventions, respectively) self-reported being engaged in moderate exercise 1–2 times per week. Overall, teachers in the 100 Mile Club schools reported more favorably on classroom behaviors in terms of both assets/strengths and problem behaviors compared with CHALK/Just Move teachers. More teachers in 100 Mile Club schools, compared with the CHALK/Just Move teachers, reported that most or all of the class were able to work with others (83% vs. 46%), followed classroom rules (83% vs. 53%), had a positive attitude (100% vs. 60%), and got along well with others (100% vs. 56%). Furthermore, a higher percentage of teachers in 100 Mile Club schools, compared with those in CHALK/Just Move schools, reported that no more than 1 or 2 students engaged in problem behaviors, including calling out answers or interrupting the teacher during the lesson (100% vs. 53%) and being off task or inattentive (67% vs. 53%).

4. Conclusion and perspective

Differences in reported student behavior after implementing these 2 very different FLEX PA programs in schools are noteworthy, with teachers in the 100 Mile Club schools reporting better behaviors. It may be important to consider that classroom teachers in this particular sample did not lead the 100 Mile Club sessions; instead, the sessions were led by another teacher/champion, which for schools in this evaluation occurred before school. Even though in-classroom PA breaks are relatively easy to implement and can occur at any point during the day, a higher burden is placed on the teachers to initiate, lead, and conclude the PA breaks, potentially requiring more time spent in transition and engendering perceived stress. For students, there may also be a less clear shift from the break back to focused learning activities, which may have benefited the perceived behavior of students by teachers among the 100 Mile Club schools.

The mechanisms that determine student behavior in a classroom setting remain difficult to ascertain. Ultimately, what is going to sell nontraditional PA programs outside of recess and PE is how well the teachers can implement and/or support those programs. Although teachers clearly care about cognitive health, academic achievement, and whole student health, they need to deal on a day-to-day basis with student behavior and attentiveness in the classroom. Increasing the perception that PA in the classroom is beneficial for behavior and readiness to learn is critical to securing buy-in from teachers and administrators. For school-based PA programs to be successful and sustainable as well as to promote students’ physical and academic potential, multiple opportunities for increasing student PA need to be supported by administrators, staff, and teachers. Clear strategies, support, and encouragement need to be offered, especially to teachers who choose to implement PA classroom breaks so that these breaks are beneficial in not only promoting PA, but also enhancing the academic success of students.

Acknowledgments

Acknowledgments

The authors wish to thank the schools, children, teachers, and other school staff who participated in the FLEX Study. Finally, for their collaboration on the intervention programs, we thank Kara Lubin, founder of the 100 Mile Club, and Dr. Dodi Meyer and Dr. John Rausch of CHALK/Just Move at Columbia University/New York Presbyterian. The FLEX Study is funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development of the National Institutes of Health, Award Number R01HD080180. Additional funding was provided by the Boston Foundation. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or the Boston Foundation. Neither of the funders had a role in the design of the study or the writing of this manuscript, nor did they have a role in data collection, analysis, or interpretation of data.

Authors’ contributions

JMS and CMW contributed equally to this manuscript. Both authors have read and approved the final version of the manuscript, and agree with the order of presentation of the authors.

Competing interests

Both authors declare that they have no competing interests.

Language: English

Footnotes

Peer review under responsibility of Shanghai University of Sport.

References

  • 1.Troiano R.P., Berrigan D., Dodd K.W., Masse L.C., Tilert T., McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40:181–188. doi: 10.1249/mss.0b013e31815a51b3. [DOI] [PubMed] [Google Scholar]
  • 2.Story M., Nanney M.S., Schwartz M.B. Schools and obesity prevention: creating school environments and policies to promote healthy eating and physical activity. Milbank Q. 2009;87:71–100. doi: 10.1111/j.1468-0009.2009.00548.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Hubbard K., Economos C.D., Bakun P., Boulos R., Chui K., Mueller M.P. Disparities in moderate-to-vigorous physical activity among girls and overweight and obese schoolchildren during school-and out-of-school time. Int J Behav Nutr Phys Act. 2016;13:39. doi: 10.1186/s12966-016-0358-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Sacheck J.M., Amin S., Anzman-frasca S., Chomitz V., Chui K., Duquesnay P. Fueling Learning Through Exercise (FLEX)-long-term impact of school-based programs on children's moderate-to-vigorous physical activity. Med Sci Sports Exerc. 2018;50(Suppl. 5):762. [Google Scholar]
  • 5.Andersen L.B., Riddoch C., Kriemler S., Hills A. Physical activity and cardiovascular risk factors in children. Br J Sports Med. 2011;45:871–876. doi: 10.1136/bjsports-2011-090333. [DOI] [PubMed] [Google Scholar]
  • 6.Janssen I., LeBlanc A.G. Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. Int J Behav Nutr Phys Act. 2010;7:40. doi: 10.1186/1479-5868-7-40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Kriemler S., Zahner L., Schindler C., Meyer U., Hartmann T., Hebestreit H. Effect of school based physical activity programme (KISS) on fitness and adiposity in primary schoolchildren: cluster randomised controlled trial. Br Med J. 2010;340:c785. doi: 10.1136/bmj.c785. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Strong W.B., Malina R.M., Blimkie C.J., Daniels S.R., Dishman R.K., Gutin B. Evidence based physical activity for school-age youth. J Pediatr. 2005;146:732–737. doi: 10.1016/j.jpeds.2005.01.055. [DOI] [PubMed] [Google Scholar]
  • 9.Rasberry C.N., Lee S.M., Robin L., Laris B., Russell L.A., Coyle K.K. The association between school-based physical activity, including physical education, and academic performance: a systematic review of the literature. Prev Med. 2011;52(Suppl. 1):S10–S20. doi: 10.1016/j.ypmed.2011.01.027. [DOI] [PubMed] [Google Scholar]
  • 10.Mahar M.T., Murphy S.K., Rowe D.A., Golden J., Shields A.T., Raedeke T.D. Effects of a classroom-based program on physical activity and on-task behavior. Med Sci Sports Exerc. 2006;38:2086–2094. doi: 10.1249/01.mss.0000235359.16685.a3. [DOI] [PubMed] [Google Scholar]
  • 11.Wright C.M., Duquesnay P.J., Anzman-Frasca S., Chomitz V.R., Chui K., Economos C.D. Study protocol: the Fueling Learning Through Exercise (FLEX) study – a randomized controlled trial of the impact of school-based physical activity programs on children's physical activity, cognitive function, and academic achievement. BMC Public Health. 2016;16:1078. doi: 10.1186/s12889-016-3719-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Amin S.A., Duquesnay P.J., Wright C.M., Chui K., Economos C.D., Sacheck J.M. The association between perceived athletic competence and physical activity: implications for low-income schoolchildren. Ped Ex Sci. 2018;30:433–440. doi: 10.1123/pes.2017-0242. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Amin S.A., Chui K., Duquesnay P.J., Wright C.M., Chomitz V.R., Economos C.D. Impact of social support on changes in physical activity among children participating in school-based programs. Med Sci Sport Exerc. 2018;50(Suppl. 5):763. [Google Scholar]
  • 14.Wright C.M., Chomitz V.R., Duquesnay P.J., Amin S.A., Economos C.D., Sacheck J.M. The FLEX study school-based physical activity programs–measurement and evaluation of implementation. BMC Public Health. 2019;19:73. doi: 10.1186/s12889-018-6335-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Carlson J.A., Engelberg J.K., Cain K.L., Conway T.L., Mignano A.M., Bonilla E.A. Implementing classroom physical activity breaks: associations with student physical activity and classroom behavior. Prev Med. 2015;81:67–72. doi: 10.1016/j.ypmed.2015.08.006. [DOI] [PubMed] [Google Scholar]
  • 16.Carlson J.A., Engelberg J.K., Cain K.L., Conway T.L., Geremia C., Bonilla E.A. Contextual factors related to implementation of classroom physical activity breaks. Transl Behav Med. 2017;7:581–592. doi: 10.1007/s13142-017-0509-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Lee SW, Shaftel J, Neaderhiser J, Oeth J. Development and validation of instruments to assess the behavior and assets of students at the classroom level. Available at: https://cete.ku.edu/sites/cete.drupal.ku.edu/files/docs/Presentations/2009/shaftel200908_behavior.pdf. [accessed 03.12.2018].

Articles from Journal of Sport and Health Science are provided here courtesy of Shanghai University of Sport

RESOURCES