Abstract
Background
Research suggests the neighborhood built environment is related to child physical activity and eating.
Purpose
The purpose of this study was to determine if characteristics of the neighborhood environment moderate the relationship between obesity treatment and weight loss, and if outcomes of particular treatments are moderated by built environment characteristics.
Method
The relationship between the built environment and standardized BMI (zBMI) changes for 191 8–12-year-old children who participated in one of four randomized, controlled trials of pediatric weight management was assessed using mixed models analysis of covariance.
Results
At 2-year follow-up, greater parkland, fewer convenience stores, and fewer supermarkets were associated with greater zBMI reduction across all interventions. No treatments interacted with characteristics of the built environment.
Conclusions
Activity- and eating-related built neighborhood characteristics are associated with child success in behavioral obesity treatments. Efficacy may be improved by individualizing treatments based on built environment characteristics.
Similar content being viewed by others
References
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;117:417-424.
Oreskovic NM, Winickoff JP, Kuhlthau KA, Romm D, Perrin JM. Obesity and the built environment among Massachusetts children. Clin Pediatr Phila. 2009;48:904-912.
Oreskovic NM, Kuhlthau KA, Romm D, Perrin JM. Built environment and weight disparities among children in high- and low-income towns. Acad Pediatr. 2009;9:315-321.
Grafova IB. Overweight children: Assessing the contribution of the built environment. Prev Med. 2008;47:304-308.
Wolch J, Jerrett M, Reynolds K, et al. Childhood obesity and proximity to urban parks and recreational resources: A longitudinal cohort study. Health Place. 2011;17:207-214.
Roemmich JN, Epstein LH, Raja S, Yin L, Robinson J, Winiewicz D. Association of access to parks and recreational facilities with the physical activity of young children. Prev Med. 2006;43:437-41.
Roemmich JN, Epstein LH, Raja S, Yin L. The neighborhood and home environments: Disparate relationships with physical activity and sedentary behaviors in youth. Ann Behav Med. 2007;33:29-38.
Saelens BE, Sallis JF, Black JB, Chen D. Neighborhood-based differences in physical activity: An environment scale evaluation. Am J Public Health. 2003;93:1552-1558.
Giles-Corti B, Macintyre S, Clarkson JP, Pikora T, Donovan RJ. Environmental and lifestyle factors associated with overweight and obesity in Perth, Australia. Am J Health Promot. 2003;18:93-102.
Morland KB, Evenson KR. Obesity prevalence and the local food environment. Health Place. 2009;15:491-495.
Raja S, Yin L, Roemmich JN, et al. Food environment, built environment, and women's BMI: Evidence from Erie County, New York. J Plann Educ Res. 2010;29:444-460.
Baranowski T, Cullen KW, Nicklas T, Thompson D, Baranowski J. Are current health behavioral change models helpful in guiding prevention of weight gain efforts? Obes Res. 2003;11(Suppl):23S-43S.
Egger G, Swinburn B. An "ecological" approach to the obesity pandemic. BMJ. 1997;315:477-480.
French SA, Story M, Jeffery RW. Environmental influences on eating and physical activity. Annu Rev Public Health. 2001;22:309-335.
Epstein LH. Development of evidence-based treatments for pediatric obesity. In: Kazdin AE, Weisz JR, eds. Evidence-based psychotherapies for children and adolescents. New York: Guilford Publications, Inc.; 2003:374-388.
Epstein LH, Paluch RA, Roemmich JN, Beecher MD. Family-based obesity treatment, then and now: Twenty-five years of pediatric obesity treatment. Health Psychol. 2007;26:381-391.
Ogden CL, Flegal KM, Carroll MD, Johnson CL. Prevalence and trends in overweight among US children and adolescents, 1999–2000. JAMA. 2002;288:1728-1732.
Troiano RP, Flegal KM, Kuczmarski RJ, Campbell SM, Johnson CL. Overweight prevalence and trends for children and adolescents. The National Health and Nutrition Examination Surveys, 1963 to 1991. Arch Pediatr Adolesc Med. 1995;149:1085-1091.
Epstein LH, Paluch RA, Gordy CC, Dorn J. Decreasing sedentary behaviors in treating pediatric obesity. Arch Pediatr Adolesc Med. 2000;154:220-226.
Epstein LH, Paluch RA, Gordy CC, Saelens BE, Ernst MM. Problem solving in the treatment of childhood obesity. J Consult Clin Psychol. 2000;68:717-721.
Epstein LH, Paluch RA, Kilanowski CK, Raynor HA. The effect of reinforcement or stimulus control to reduce sedentary behavior in the treatment of pediatric obesity. Health Psychol. 2004;23:371-380.
Epstein LH, Roemmich JN, Stein RI, Paluch RA, Kilanowski CK. The challenge of identifying behavioral alternatives to food: Clinic and field studies. Ann Behav Med. 2005;30:201-209.
Epstein LH, Raja S, Gold SS, Paluch RA, Pak Y, Roemmich JN. Reducing sedentary behavior: The relationship between park area and the physical activity of youth. Psychol Sci. 2006;17:654-659.
Kuczmarski RJ, Ogden CL, Guo SS, et al. CDC growth charts for the United States: Methods and development. Vital Health Statistics. Series 11, Volume 246. Hyattsville, MD: National Center for Health Statistics; 2002: 1–90.
Hollingshead AB. Four factor index of social status. New Haven, CT: Yale University; 1975.
ESRI. ArcGIS 9. Redlands, CA: ESRI GIS and Mapping software; 2004.
Raja S, Ma C, Yadav P. Beyond food deserts: Measuring and mapping disparities in the neighborhood food environment. J Plann Educ Res. 2008;27:469-482.
Ewing R. Can the physical environment determine physical activity levels? Exerc Sport Sci Rev. 2005;33:69-75.
Frank LD, Schmid TL, Sallis JF, Chapman J, Saelens BE. Linking objectively measured physical activity with objectively measured urban form: Findings from SMARTRAQ. Am J Prev Med. 2005;28:117-125.
Saelens BE, Sallis JF, Frank LD. Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures. Ann Behav Med. 2003;25:80-91.
Mecredy G, Pickett W, Janssen I. Street connectivity is negatively associated with physical activity in Canadian youth. Int J Environ Res Public Health. 2011;8:3333-3350.
Dunkley BA, Helling A, Sawicki DS. Accessibility versus scale: Examining the tradeoffs in grocery stores. J Plann Educ Res. 2004;23:387-401.
Department of Labor. Bureau of Labor Statistics. American Time Use Survey (ATUS). Ann Arbor, MI: Inter-university Consortium for Political and Social Research; 2010.
Jaccard J, Wan CK, Turrisi R. The detection and interpretation of interaction effects between continuous variables in multiple regression. Multivar Behav Res. 1990;25:467-478.
SAS Institute Inc. SAS OnlineDoc® 9.1.3. Cary, NC: SAS Institute Inc.; 2004.
Nakagawa S, Foster TM. The case against retrospective statistical power analyses with an introduction to power analysis. Acta Ethol. 2004;7:103-108.
Hoenig JM, Heisey DM. The abuse of power: The pervasive fallacy of power calculations for data analysis. Am Stat. 2001;55:1-6.
Kristal AR, Goldenhar L, Muldoon J, Morton RF. Evaluation of a supermarket intervention to increase consumption of fruits and vegetables. Am J Health Promot. 1997;11:422-425.
Anderson JV, Bybee DI, Brown RM, et al. 5 a day fruit and vegetable intervention improves consumption in a low income population. J Am Diet Assoc. 2001;101:195-202.
Ni Mhurchu C, Blakely T, Jiang Y, Eyles HC, Rodgers A. Effects of price discounts and tailored nutrition education on supermarket purchases: A randomized controlled trial. Am J Clin Nutr. 2010;91:736-747.
Nederkoorn C, Guerrieri R, Havermans RC, Roefs A, Jansen A. The interactive effect of hunger and impulsivity on food intake and purchase in a virtual supermarket. Int J Obes (Lond). 2009;33:905-912.
Strauss RS, Pollack HA. Epidemic increase in childhood overweight, 1986–1998. JAMA. 2001;286:2845-2848.
Jeffery RW, French SA. Epidemic obesity in the United States: Are fast foods and television viewing contributing? Am J Public Health. 1998;88:277-280.
Hill JO, Wyatt HR, Reed GW, Peters JC. Obesity and the environment: Where do we go from here? Science. 2003;299:853-855.
Acknowledgments
Appreciation is expressed to Dominica Vito, CeCe Gordy, and Colleen Kilanowski, who coordinated studies at the University at Buffalo; and research assistants, therapists, and families who made this research possible; to Robert Shibley, Dean of the School of Architecture and Planning, for providing a GIS parks layer; to Dale Morris, Erie County, New York, for providing Erie County GIS parcel layers; and Kruti Bhatia for assistance with land parcel data. The development of this article was funded in part by grants HD 25997, HD 39778, HD 39792, and HD 42766 from the National Institute of Child Health and Human Development, grant DK 88380 from the National Institute of Diabetes and Digestive Diseases, awarded to Dr. Epstein, and grant MH070446 from the National Institute of Mental Health awarded to Dr.Wilfley. The funding agencies were not involved in analysis or interpretation of the data.
Conflict of Interest
The authors do not have any conflict of interests.
Author information
Authors and Affiliations
Corresponding author
About this article
Cite this article
Epstein, L.H., Raja, S., Daniel, T.O. et al. The Built Environment Moderates Effects of Family-Based Childhood Obesity Treatment over 2 Years. ann. behav. med. 44, 248–258 (2012). https://doi.org/10.1007/s12160-012-9383-4
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12160-012-9383-4