Association of School Physical Activity Policies With Student Physical Activity Behavior

in Journal of Physical Activity and Health

Click name to view affiliation

Leigh Ann Ganzar
Search for other papers by Leigh Ann Ganzar in
Current site
Google Scholar
PubMed
Close
,
Nalini Ranjit
Search for other papers by Nalini Ranjit in
Current site
Google Scholar
PubMed
Close
,
Debra Saxton
Search for other papers by Debra Saxton in
Current site
Google Scholar
PubMed
Close
, and
Deanna M. Hoelscher
Search for other papers by Deanna M. Hoelscher in
Current site
Google Scholar
PubMed
Close
Restricted access

Background: Few studies have examined school physical activity policies to assess dose–response on student outcomes. The purpose of this study was to evaluate the association between health-promoting physical activity policies in elementary schools and physical activity behavior. Methods: In this cross-sectional study, physical activity was assessed using self-report measures in fourth-grade students in Texas (N = 1958, x = 9.66 y) from the School Physical Activity and Nutrition (SPAN) survey. School policies were assessed using the number of health-promoting policies in place taken from the SPAN School Health Survey with principals and their proxies. Multiple linear regressions adjusted for student- and school-level confounders and school clustering were performed. Results: School physical activity policies were significantly associated with student-level physical activity behavior (P < .05), even after controlling for the student- and school-level confounding variables. The interactions between physical activity policy-by-economic disadvantage (P < .01) and between physical activity policy-by-geographic strata (P < .01) were both significant, with stronger direct effects of policies on student physical activity for economically disadvantaged schools and major urban schools. Conclusion: Results from this study provide evidence for the importance of school-based health policies and practices in potentially reducing health disparities, especially in low-income and urban schools.

Ganzar, Ranjit, and Hoelscher are with the Michael & Susan Dell Center for Healthy Living, University of Texas Health Science Center at Houston, School of Public Health in Austin, Austin, TX. Saxton is with the Texas Department of State Health Services, Austin, TX.

Ganzar (Leigh.a.ganzar@uth.tmc.edu) is corresponding author.
  • Collapse
  • Expand
  • 1.

    Strong WB, Malina RM, Blimkie CJR, et al. Evidence based physical activity for school-age youth. J Pediatr. 2005;146(6):732737. PubMed ID: 15973308 doi:10.1016/j.jpeds.2005.01.055

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 2.

    Dencker M, Thorsson O, Karlsson M, et al. Daily physical activity related to body fat in children aged 8–11 years. J Pediatr. 2006;149(1):3842. PubMed ID: 16860124 doi:10.1016/j.jpeds.2006.02.002

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 3.

    Sothern M, Loftin M, Suskind R, Udall J, Blecker U. The health benefits of physical activity in children and adolescents: implications for chronic disease prevention. Eur J Pediatr. 1999;158(4):271274. PubMed ID: 10206121 doi:10.1007/s004310051070

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4.

    Janssen I, LeBlanc AG. 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(1):40. doi:10.1186/1479-5868-7-40

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 5.

    Biddle SJ, Asare M. Physical activity and mental health in children and adolescents: a review of reviews. Br J Sports Med. 2011;45(11):886895. PubMed ID: 21807669 doi:10.1136/bjsports-2011-090185

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 6.

    Physical Activity Guidelines Advisory Committee. Physical Activity Guidelines Advisory Committee Report, 2008. Washington, DC: US Department of Health and Human Services; 2008.

    • Search Google Scholar
    • Export Citation
  • 7.

    Katzmarzyk PT, Denstel KD, Beals K, et al. Results from the United States of America’s 2016 report card on physical activity for children and youth. J Phys Act Health. 2016;13(11 suppl 2):307313. PubMed ID: 27848726 doi:10.1123/jpah.2016-0321

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 8.

    Center for Health Statistics (CHS). Texas Youth Risk Behavior Surveillance System Survey Data. Austin, TX: Texas Department of State Health Services; 2016.

    • Search Google Scholar
    • Export Citation
  • 9.

    Sallis JF. Age-related decline in physical activity: a synthesis of human and animal studies. Med Sci Sports Exerc. 2000;32(9):1598. PubMed ID: 10994911 doi:10.1097/00005768-200009000-00012

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 10.

    Naylor P-J, McKay HA. Prevention in the first place: schools a setting for action on physical inactivity. Br J Sports Med. 2009;43(1):1013. PubMed ID: 18971250 doi:10.1136/bjsm.2008.053447

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 11.

    Jago R, Baranowski T. Non-curricular approaches for increasing physical activity in youth: a review. Prev Med. 2004;39(1):157163. PubMed ID: 15207997 doi:10.1016/j.ypmed.2004.01.014

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 12.

    Olstad DL, Teychenne M, Minaker LM, et al. Can policy ameliorate socioeconomic inequities in obesity and obesity-related behaviours? A systematic review of the impact of universal policies on adults and children. Obes Rev. 2016;17(12):11981217. PubMed ID: 27484468 doi:10.1111/obr.v17.12

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 13.

    Baker EA, Elliott M, Barnidge E, et al. Implementing and evaluating environmental and policy interventions for promoting physical activity in rural schools. J Sch Health. 2017;87(7):538545. PubMed ID: 28580669 doi:10.1111/josh.2017.87.issue-7

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 14.

    de Meij JS, Chinapaw MJ, van Stralen MM, van der Wal MF, van Dieren L, van Mechelen W. Effectiveness of JUMP-in, a Dutch primary school-based community intervention aimed at the promotion of physical activity. Br J Sports Med. 2011;45(13):10521057. PubMed ID: 21112875 doi:10.1136/bjsm.2010.075531

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 15.

    Phillips MM. Creating and using index scores in the analysis of school policy implementation and impact. J Sch Health. 2012;82(6):253261. PubMed ID: 22568460 doi:10.1111/josh.2012.82.issue-6

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 16.

    Carlson JA, Sallis JF, Conway TL, et al. Interactions between psychosocial and built environment factors in explaining older adults’ physical activity. Prev Med. 2011;54(1):6873. PubMed ID: 22027402 doi:10.1016/j.ypmed.2011.10.004

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 17.

    Nanney MS, MacLehose RF, Kubik MY, et al. School obesity prevention policies and practices in Minnesota and student outcomes: a longitudinal cohort study. Am J Prev Med. 2016;51(5):656663. PubMed ID: 27320703 doi:10.1016/j.amepre.2016.05.008

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18.

    Dortch KS, Gay J, Springer A, et al. The association between sport participation and dietary behaviors among fourth graders in the school physical activity and nutrition survey, 2009–2010. Am J Health Promot. 2014;29(2):99106. PubMed ID: 24460004 doi:10.4278/ajhp.130125-QUAN-47

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 19.

    Pérez A, Hoelscher D, Frankowski R, Day R, Lee E. Statistical design, sampling weights and weight adjustments of the School Physical Activity and Nutrition (SPAN) population-based surveillance 2009–2010 study. JSM. 2010;33973404.

    • Search Google Scholar
    • Export Citation
  • 20.

    Centers for Disease Control and Prevention. Comprehensive School Physical Activity Programs A Guide for Schools. Atlanta, GA: U.S. Department of Health & Human Services; 2013.

    • Search Google Scholar
    • Export Citation
  • 21.

    Kohl HW III, Cook HD. Educating the Student Body: Taking Physical Activity and Physical Education to School. Washington DC: National Academies Press; 2013.

    • Search Google Scholar
    • Export Citation
  • 22.

    Bergman EA, Buergel NS, Englund TF, Femrite A. The relationship of meal and recess schedules to plate waste in elementary schools. J Child Nutr Manag. 2004;28(2):110.

    • Search Google Scholar
    • Export Citation
  • 23.

    SHAPE America, Couturier L, Chepko S, Holt SA. National Standards & Grade-Level Outcomes for K-12 Physical Education. Reston, VA: Human Kinetics; 2014.

    • Search Google Scholar
    • Export Citation
  • 24.

    Penkilo M, George GC, Hoelscher DM. Reproducibility of the school-based nutrition monitoring questionnaire among fourth-grade students in Texas. J Nutr Educ Behav. 2008;40(1):2027. PubMed ID: 18174100

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 25.

    Kuczmarski RJ, Ogden CL, Grummer-Strawn LM, et al. CDC growth charts: United States. Adv Data. 2000;314:127.

  • 26.

    United States Department of Agriculture. Child Nutrition Programs: Income Eligibility Guidelines (July 1, 2009–June 30, 2010). Washington, DC: United States Department of Agriculture; 2009.

    • Search Google Scholar
    • Export Citation
  • 27.

    Ranjit N, Wilkinson AV, Lytle LM, Evans AE, Saxton D, Hoelscher DM. Socioeconomic inequalities in children’s diet: the role of the home food environment. Int J Behav Nutr Phys Act. 2015;12(suppl 1):S4. doi:10.1186/1479-5868-12-S1-S4

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 28.

    Agency TE. District type data. http://tea.texas.gov/acctres/analyze/0910/level.html. 2009. Accessed August 16, 2017.

  • 29.

    Williams RL. A note on robust variance estimation for cluster-correlated data. Biometrics. 2000;56(2):645646. PubMed ID: 10877330 doi:10.1111/j.0006-341X.2000.00645.x

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 30.

    Carlson JA, Mignano AM, Norman GJ, et al. Socioeconomic disparities in elementary school practices and children’s physical activity during school. Am J Health Promot. 2014;28(3):S47S53. doi:10.4278/ajhp.130430-QUAN-206

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 31.

    Booth KM, Pinkston MM, Poston WSC. Obesity and the built environment. J Am Diet Assoc. 2005;105(5):110117. doi:10.1016/j.jada.2005.02.045

  • 32.

    Oreskovic NM, Kuhlthau KA, Romm D, Perrin JM. Built environment and weight disparities among children in high- and low-income towns. Acad Pediatr. 2009;9(5):315321. PubMed ID: 19477705 doi:10.1016/j.acap.2009.02.009

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 33.

    Gustafson SL, Rhodes RE. Parental correlates of physical activity in children and early adolescents. Sports Med. 2006;36(1):7997. PubMed ID: 16445312 doi:10.2165/00007256-200636010-00006

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 34.

    Trost SG, Owen N, Bauman AE, Sallis JF, Brown W. Correlates of adults’ participation in physical activity: review and update. Med Sci Sports Exerc. 2002;34(12):19962001. PubMed ID: 12471307 doi:10.1097/00005768-200212000-00020

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 35.

    Kim Y, Cubbin C. The role of neighborhood economic context on physical activity among children: evidence from the Geographic Research on Wellbeing (GROW) study. Prev Med. 2017;101:149155. PubMed ID: 28601623 doi:10.1016/j.ypmed.2017.06.007

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 36.

    Gordon-Larsen P, Nelson MC, Page P, Popkin BM. Inequality in the built environment underlies key health disparities in physical activity and obesity. Pediatrics. 2006;117(2):417424. PubMed ID: 16452361 doi:10.1542/peds.2005-0058

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 37.

    Veitch J, Salmon J, Ball K. Children’s active free play in local neighborhoods: a behavioral mapping study. Health Educ Res. 2008;23(5):870879. PubMed ID: 18039726 doi:10.1093/her/cym074

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 38.

    Lee RE, Hallett AM, Parker NH, et al. Physical activity policies in Childhood Obesity Research Demonstration (CORD) communities. Health Behav Policy Rev. 2015;2(4):284295. doi:10.14485/HBPR.2.4.5

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 39.

    Lee RE, Hallett AM, Parker N, et al. Development of the policy indicator checklist: a tool to identify and measure policies for calorie-dense foods and sugar-sweetened beverages across multiple settings. Am J Public Health. 2015;105(5):10361043. PubMed ID: 25790397 doi:10.2105/AJPH.2015.302559

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 40.

    Fan JX, Wen M, Wan N. Built environment and active commuting: rural-urban differences in the US. SSM Popul Health. 2017;3:435441. PubMed ID: 29124104 doi:10.1016/j.ssmph.2017.05.007

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 41.

    Jones SE, Wendel AM. Characteristics of joint use agreements in school districts in the United States: findings from the school health policies and practices study, 2012. Prev Chronic Dis. 2015;12:E50. doi:10.5888/pcd12.140566

    • Search Google Scholar
    • Export Citation
  • 42.

    Wen M, Zhang X, Harris CD, Holt JB, Croft JB. Spatial disparities in the distribution of parks and green spaces in the USA. Ann Behav Med. 2013;45(1):1827. doi:10.1007/s12160-012-9426-x

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 43.

    Almanza E, Jerrett M, Dunton G, Seto E, Pentz MA. A study of community design, greenness, and physical activity in children using satellite, GPS and accelerometer data. Health Place. 2012;18(1):4654. PubMed ID: 22243906 doi:10.1016/j.healthplace.2011.09.003

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 44.

    Texas Education Agency. 19 TAC Chapter 116. In: Texas Essential Knowledge and Skills for Physical Education. Austin, TXTexas Education Agency; 2018.

    • Search Google Scholar
    • Export Citation
  • 45.

    Aelterman N, Vansteenkiste M, Van Keer H, Van den Berghe L, De Meyer J, Haerens L. Students’ objectively measured physical activity levels and engagement as a function of between-class and between-student differences in motivation toward physical education. J Sport Exerc Psychol. 2012;34(4):457480. PubMed ID: 22889689 doi:10.1123/jsep.34.4457

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 46.

    McKenzie TL, Feldman H, Woods SE, et al. Children’s activity levels and lesson context during third-grade physical education. Res Q Exerc Sport. 1995;66(3):184193. PubMed ID: 7481079 doi:10.1080/02701367.1995.10608832

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 47.

    Morton K, Atkin A, Corder K, Suhrcke M, Sluijs E. The school environment and adolescent physical activity and sedentary behaviour: a mixed-studies systematic review. Obes Rev. 2016;17(2):142158. PubMed ID: 26680609 doi:10.1111/obr.12352

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 2892 1541 19
Full Text Views 69 12 0
PDF Downloads 60 14 0