Should We Build Our School Here? Children’s Level of Fitness, School Site-Typology and the Built Environment

Should We Build Our School Here? Children’s Level of Fitness, School Site-Typology and the Built Environment

Milena Bernardinello, PhD1 and Aaron L. Carrel, MD2

1University of Wisconsin-Madison Department of Planning and Landscape Architecture.
2University of Wisconsin School of Medicine and Public Health Department of Pediatrics, Madison

Background: No prior studies have assessed the relationship of school-sites with children’s fitness, nor evaluated how it is influenced by types of built environments surrounding school-sites. Purpose: To create a typology of school-sites and assess their associations, with school-level cardiorespiratory fitness (PACER score), as well as 34 environmental measures, reflecting food retailers and parks.

Methods: PACER scores (#laps) were obtained on 20,900 children, 5-18 years-old, attending 103 rural and urban public schools in Wisconsin 2009-2010. Scores were aggregated at the school-level (mean 25.2±10.5). School-site typology reflects walkability context and parcel size. Schools were classified as: Neighborhood-School, Neighborhood-Campus, Neighborhood-Suburban, or Campus-School. Geospatial and linear regression were performed , overall and by sex and age strata, using a 1600-meter circular buffer around each school. Associations with school-level-PACER score were assessed for school types; density of unhealthy and healthier food retailers; and types of parks.

Results: Campus-Schools predict a school average-PACER 7 laps significantly higher than Neighborhood-schools. ‘Neighborhood-Campus’ showed the lowest PACER for males and 11-13 years-old (10 and 12 laps lower). Negatively correlated with average-PACER were, unhealthy convenience stores for both sex, large parks for females. More fast-casual restaurants predict higher average-PACER. Schools with more students predict higher average-PACER for males and 6-10 years-old.

Conclusion: Among Wisconsin schools, school-site and its context are associated with children’s physical fitness, suggesting that school-siting should include a health benefit analyses in the process. This study demonstrates the utility of school-level PACER scores and suggests further study of the mechanisms by which children’s fitness is influenced by food retailers around school zones.

Keywords: School typology, child fitness, PACER, food environment, geospatial analysis.

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How to cite this article:
Milena Bernardinello and Aaron L. Carrel. Should We Build Our School Here? Children’s Level of Fitness, School Site-Typology and the Built Environment. International Research Journal of Public Health, 2019; 3:31. DOI:10.28933/irjph-2019-04-0206


1. Eisenmann JC. Aerobic fitness, fatness and the metabolic syndrome in children and adolescents. Acta Paediatrica. 2007 Dec 1;96(12):1723-9.
2. Rauner RR, Walters RW, Avery M, Wanser TJ. Evidence that aerobic fitness is more salient than weight status in predicting standardized math and reading outcomes in fourth-through eighth-grade students. The Journal of Pediatrics. 2013 Aug 1;163(2):344-8.
3. Janssen I, LeBlanc AG. Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. International Journal of Behavioral Nutrition And Physical Activity. 2010 Dec 1;7(1):40.
4. Glickman, D, Parker, L, Sim, LJ, Cook, H & Miller, EA, (Eds. 2012) in WiDPI – Active School Core4+. Committee on Accelerating Progress in Obesity Prevention. Food and Nutrition Board, Institute of Medicine. Accelerating progress in obesity prevention: Solving the weight of the nation. 2012.
5. McDonald NC. School siting: contested visions of the community school. Journal of the American Planning Association. 2010 Mar 22;76(2):184-98.
6. EPA – U.S. Environmental Protection Agency – The Smart School Siting Tool User Guide. 2016
7. Frank L. ‘Youth Travel to School: Community Design Relationships with Mode Choice, Vehicle Emissions, and Healthy Body Weight. Prepared for Mr. Tim Torma, United States Environmental Protection Agency. 2008.
8. Vincent JM, Miller R, Dillon L. School Siting and Walkability: Experience and Policy Implications in California. California Journal of Politics and Policy. 2017 Jan 1;9(3):1-26.
9. Austin SB, Melly SJ, Sanchez BN, Patel A, Buka S, Gortmaker SL. Clustering of fast-food restaurants around schools: a novel application of spatial statistics to the study of food environments. American Journal of Public Health. 2005 Sep 1;95(9):1575-81.
10. Howard PH, Fitzpatrick M, Fulfrost B. Proximity of food retailers to schools and rates of overweight ninth grade students: an ecological study in California. BMC Public Health. 2011 Dec 1;11(1):68.
11. Schwartz BS, Stewart WF, Godby S, Pollak J, DeWalle J, Larson S, Mercer DG, Glass TA. Body mass index and the built and social environments in children and adolescents using electronic health records. American Journal of Preventive Medicine. 2011 Oct 1;41(4):e17-28.
12. Berke PR, Godschalk DR, Kaiser EJ, Rodriguez DA. Urban land use planning. 5th Ed. Urbana: University of Illinois Press; 2006 Apr.
13. Bowser, John, Ana P. Martinez-Donate, Aaron Carrel, David B. Allen, and D. Paul Moberg. 2016. Disparities in Fitness and Physical Activity Among Children. WMJ 115(5):245-205.
14. WiDPI – Wisconsin Department of Public Instruction. “Wisconsin Standards for Physical Education”(2010).
15. AB620 State of Wisconsin 2009-2010 Legislature LRBs0146/1 Senate Substitute Amendment 1, to 2009 SENATE BILL 313. October 13, 2009. LBR-3902/1 2009 ASSEMBLY BILL 620. December 17, 2009
16. Carrel AL, Bowser J, White D, Moberg DP, Weaver B, Hisgen J, Eickhoff J, Allen DB. Standardized childhood fitness percentiles derived from school-based testing. The Journal of Pediatrics. 2012 Jul 1;161(1):120-4.
17. ESRI ArcGIS-Business Analyst 2012. Environmental System Research Institute. ESRI-Inc. Redlands, CA, USA
18. Frank L, Glanz K, McCarron M, Sallis J, Sealens B, Chapman J. The spatial distribution of food outlet type and quality around schools in differing built environment and demographic contexts. Berkeley Planning Journal. 2006 Jan 1;19(1).
19. Ding D, Sallis JF, Kerr J, Lee S, Rosenberg DE. Neighborhood environment and physical activity among youth: a review. American Journal Of Preventive Medicine. 2011 Oct 1;41(4):442-55.
20. Cooksey-Stowers K, Schwartz MB, Brownell KD. Food Swamps Predict Obesity Rates Better Than Food Deserts in the United States. International Journal Of Environmental Research And Public Health. 2017 Nov 14;14(11):1366.
21. Wolch J, Jerrett M, Reynolds K, McConnell R, Chang R, Dahmann N, Brady K, Gilliland F, Su JG, Berhane K. Childhood obesity and proximity to urban parks and recreational resources: a longitudinal cohort study. Health & Place. 2011 Jan 1;17(1):207-14.
22. 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 Jan 1;18(1):46-54.
23. Morland K, Wing S, Roux AD, Poole C. Neighborhood characteristics associated with the location of food stores and food service places. American Journal of Preventive Medicine. 2002 Jan 1;22(1):23-9.
24. Glanz K, Sallis JF, Saelens BE, Frank LD. Nutrition Environment Measures Survey in stores (NEMS-S): development and evaluation. American Journal of Preventive Medicine. 2007 Apr 1;32(4):282-9.
25. Saelens BE, Glanz K, Sallis JF, Frank LD. Nutrition Environment Measures Study in restaurants (NEMS-R): development and evaluation. American Journal of Preventive Medicine. 2007 Apr 1;32(4):273-81.
26. Han E, Powell LM, Zenk SN, Rimkus L, Ohri-Vachaspati P, Chaloupka FJ. Classification bias in commercial business lists for retail food stores in the US. International Journal of Behavioral Nutrition and Physical Activity. 2012 Dec 1;9(1):46. mREI – Modified Retail Food Environment :
27. CDC 2012 – Census Tract Level State Maps of the Modified Retail Food Environment Index (mRFEI) Community Commons – Maps & Data – Modified Retail Food Environment Index (mRFEI)
28. Paquet C, Coffee NT, Haren MT, Howard NJ, Adams RJ, Taylor AW, Daniel M. Food environment, walkability, and public open spaces are associated with incident development of cardio-metabolic risk factors in a biomedical cohort. Health & Place. 2014 Jul 1;28:173-6.
29. McDonald N, Steiner R, Lytle B, Tsai J, Cook T. Quantifying the Costs of School Transportation. Gainesville, FL: Southeastern Transportation Research, Innovation, Development and Education Center; 2015 Jul.
30. Fiechtner L, Sharifi M, Sequist T, Block J, Duncan DT, Melly SJ, Rifas-Shiman SL, Taveras EM. Food environments and childhood weight status: effects of neighborhood median income. Childhood Obesity. 2015 Jun 1;11(3):260-8.
31. ESRI–Exploratory Regression – OLS 6-steps Diagnostics tool‐statistics‐toolbox/interpreting‐gwrresults.htm
32. Szklo M, Nieto FJ. Epidemiology. Jones & Bartlett Publishers; 2014.
33. Frank LD, Sallis JF, Conway TL, Chapman JE, Saelens BE, Bachman W. Many pathways from land use to health: associations between neighborhood walkability and active transportation, body mass index, and air quality. Journal of the American planning Association. 2006 Mar 31;72(1):75-87.
34. Field A. Discovering statistics using SPSS. Sage publications; 2009 Jan 21.
35. WHO (World Health Organization) (2006-2008-2012). Social Determinants of Health (SDOH). Retrieved September 2015.
SDOH-Social Determinant of Health. Healthy People 2020. Office of Disease Prevention and Health Promotion retrieved October 2015
36. IBM Corp. 2013 SPSS statistics for windows, version 22.0. Armonk, NY: IBM Corp.
37. ESRI 2016. ArcGIS Desktop: Release 10.3. Redlands, CA: Environmental System Research Institute. ESRI-Inc. Redlands, CA, USA – Spatial Statistic
38. ESRI–Regression Analysis Basics – Help #GUID-6D27B3A1-FFC6-4BF5-893F-F6D60AB2E783
39. ESRI–Interpreting OLS results
40. Active Living Research
41. Ferreira I, Van Der Horst K, Wendel‐Vos W, Kremers S, Van Lenthe FJ, Brug J. Environmental correlates of physical activity in youth–a review and update. Obesity reviews. 2007 Mar 1;8(2):129-54.
42. McDonald NC, Brown AL, Marchetti LM, Pedroso MS. US school travel, 2009: an assessment of trends. American journal of preventive medicine. 2011 Aug 1;41(2):146-51.
43. McDonald NC. Children’s mode choice for the school trip: the role of distance and school location in walking to school. Transportation. 2008 Jan 1;35(1):23-35.
44. Schlossberg M, Greene J, Phillips PP, Johnson B, Parker B. School trips: effects of urban form and distance on travel mode. Journal of the American Planning Association. 2006 Sep 30;72(3):337-46.
45. Kerr J, Frank L, Sallis JF, Chapman J. Urban form correlates of pedestrian travel in youth: Differences by gender, race-ethnicity and household attributes. Transportation Research Part D: Transport and Environment. 2007 May 1;12(3):177-82.
46. Fahlman MM, Hall HL, Lock R. Ethnic and socioeconomic comparisons of fitness, activity levels, and barriers to exercise in high school females. Journal of School Health. 2006 Jan 1;76(1):12-7.
47. Saelens, Brian E., James F. Sallis, Lawrence D. Frank, Sarah C. Couch, Chuan Zhou, Trina Colburn, Kelli L. Cain, James Chapman, and Karen Glanz. 2012. “Obesogenic neighborhood environments, child and parent obesity: the Neighborhood Impact on Kids study.” American journal of preventive medicine 42, no. 5: e57-e64.
48. Weisser AS. “Little Red School House, What Now?” Two Centuries of American Public School Architecture. Journal of Planning History. 2006 Aug;5(3):196-217.
49. McDonald NC, Salvesen DA, Kuhlman HR, Combs TS. The Impact of Changes in State Minimum Acreage Policies on School Siting Practices. Journal of Planning Education and Research. 2014 Jun 1;34(2):169-79.
50. Giles-Corti B, Sallis JF, Sugiyama T, Frank LD, Lowe M, Owen N. Translating active living research into policy and practice: one important pathway to chronic disease prevention. Journal of public health policy. 2015 May 1;36(2):231-43.

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