Skip to main content
Hauptrubriken
CME Facharzt-Training Webinare Zeitschriften Bücher e.Medpedia Podcast
Service
Jobbörse Info & Hilfe
Fachgebiete
Anästhesiologie Allgemeinmedizin Arbeitsmedizin Augenheilkunde Chirurgie Dermatologie Gynäkologie und Geburtshilfe HNO Innere Medizin Kardiologie Neurologie Onkologie und Hämatologie Orthopädie und Unfallchirurgie Pädiatrie Pathologie Psychiatrie Radiologie Rechtsmedizin Urologie Zahnmedizin
Themen
Klimawandel und Gesundheit Neues aus dem Markt COVID-19 Praxis und Beruf Seltene Erkrankungen GOÄ & EBM Panorama
Sammlungen
Kasuistiken Algorithmen & Infografiken Blickdiagnosen Arthropedia FlapFinder (für Dermatochirurgen) Videos Kongressberichterstattung Medizin für Apothekerinnen und Apotheker Für Ärztinnen und Ärzte in Weiterbildung Für Medizinstudierende
Erweiterte Suche
Anmelden
nach oben
Annals of Behavioral Medicine
Erschienen in: Annals of Behavioral Medicine 2/2012

01.10.2012 | Original Article

The Built Environment Moderates Effects of Family-Based Childhood Obesity Treatment over 2 Years

verfasst von: Leonard H. Epstein, Ph.D., Samina Raja, Ph.D., Tinuke Oluyomi Daniel, B.Sc., Rocco A. Paluch, M.S., Denise E. Wilfley, Ph.D., Brian E. Saelens, Ph.D., James N. Roemmich, Ph.D.

Erschienen in: Annals of Behavioral Medicine | Ausgabe 2/2012

Einloggen, um Zugang zu erhalten

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.
Literatur
1.
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.PubMedCrossRef
2.
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.PubMedCrossRef
3.
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.PubMedCrossRef
4.
Grafova IB. Overweight children: Assessing the contribution of the built environment. Prev Med. 2008;47:304-308.PubMedCrossRef
5.
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.CrossRef
6.
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.PubMedCrossRef
7.
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.PubMedCrossRef
8.
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.PubMedCrossRef
9.
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.PubMedCrossRef
10.
Morland KB, Evenson KR. Obesity prevalence and the local food environment. Health Place. 2009;15:491-495.PubMedCrossRef
11.
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.CrossRef
12.
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.PubMedCrossRef
13.
Egger G, Swinburn B. An "ecological" approach to the obesity pandemic. BMJ. 1997;315:477-480.PubMedCrossRef
14.
French SA, Story M, Jeffery RW. Environmental influences on eating and physical activity. Annu Rev Public Health. 2001;22:309-335.PubMedCrossRef
15.
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.
16.
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.PubMedCrossRef
17.
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.PubMedCrossRef
18.
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.PubMedCrossRef
19.
Epstein LH, Paluch RA, Gordy CC, Dorn J. Decreasing sedentary behaviors in treating pediatric obesity. Arch Pediatr Adolesc Med. 2000;154:220-226.PubMed
20.
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.PubMedCrossRef
21.
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.PubMedCrossRef
22.
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.PubMedCrossRef
23.
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.PubMedCrossRef
24.
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.
25.
Hollingshead AB. Four factor index of social status. New Haven, CT: Yale University; 1975.
26.
ESRI. ArcGIS 9. Redlands, CA: ESRI GIS and Mapping software; 2004.
27.
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.CrossRef
28.
Ewing R. Can the physical environment determine physical activity levels? Exerc Sport Sci Rev. 2005;33:69-75.PubMedCrossRef
29.
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.PubMedCrossRef
30.
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.PubMedCrossRef
31.
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.PubMedCrossRef
32.
Dunkley BA, Helling A, Sawicki DS. Accessibility versus scale: Examining the tradeoffs in grocery stores. J Plann Educ Res. 2004;23:387-401.CrossRef
33.
Department of Labor. Bureau of Labor Statistics. American Time Use Survey (ATUS). Ann Arbor, MI: Inter-university Consortium for Political and Social Research; 2010.
34.
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.CrossRef
35.
SAS Institute Inc. SAS OnlineDoc® 9.1.3. Cary, NC: SAS Institute Inc.; 2004.
36.
Nakagawa S, Foster TM. The case against retrospective statistical power analyses with an introduction to power analysis. Acta Ethol. 2004;7:103-108.CrossRef
37.
Hoenig JM, Heisey DM. The abuse of power: The pervasive fallacy of power calculations for data analysis. Am Stat. 2001;55:1-6.CrossRef
38.
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.PubMedCrossRef
39.
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.PubMedCrossRef
40.
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.PubMedCrossRef
41.
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.CrossRef
42.
Strauss RS, Pollack HA. Epidemic increase in childhood overweight, 1986–1998. JAMA. 2001;286:2845-2848.PubMedCrossRef
43.
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.PubMedCrossRef
44.
Hill JO, Wyatt HR, Reed GW, Peters JC. Obesity and the environment: Where do we go from here? Science. 2003;299:853-855.PubMedCrossRef
Metadaten
Titel
The Built Environment Moderates Effects of Family-Based Childhood Obesity Treatment over 2 Years
verfasst von
Leonard H. Epstein, Ph.D.
Samina Raja, Ph.D.
Tinuke Oluyomi Daniel, B.Sc.
Rocco A. Paluch, M.S.
Denise E. Wilfley, Ph.D.
Brian E. Saelens, Ph.D.
James N. Roemmich, Ph.D.
Publikationsdatum
01.10.2012
Verlag
Springer-Verlag
Erschienen in
Annals of Behavioral Medicine / Ausgabe 2/2012
Print ISSN: 0883-6612
Elektronische ISSN: 1532-4796
DOI
https://doi.org/10.1007/s12160-012-9383-4

Weitere Artikel der Ausgabe 2/2012

Annals of Behavioral Medicine 2/2012 Zur Ausgabe

Original Article

Aerobic Exercise Is Promoted when Individual Performance Affects the Group: A Test of the Kohler Motivation Gain Effect

Original Article

A Systematic Review of Randomized Controlled Trials on the Effectiveness of Computer-Tailored Physical Activity and Dietary Behavior Promotion Programs: an Update

Invited Commentary

Comparing Theories of Health Behavior Using Data from Longitudinal Studies: a Comment on Gerend and Shepherd

Original Article

Moderation and Mediation of an Effective HIV Risk-Reduction Intervention for South African Adolescents

Invited Commentary

International Collaborations and Multidisciplinary Approaches in High-Quality Behavioral Medicine Research: a Comment on O’Leary et al

Original Article

Multisystemic Therapy Compared to Telephone Support for Youth with Poorly Controlled Diabetes: Findings from a Randomized Controlled Trial

Neu in den Fachgebieten Neurologie und Psychiatrie

Akuter Schwindel: Wann lohnt sich eine MRT?

28.04.2024 Schwindel Nachrichten

Akuter Schwindel stellt oft eine diagnostische Herausforderung dar. Wie nützlich dabei eine MRT ist, hat eine Studie aus Finnland untersucht. Immerhin einer von sechs Patienten wurde mit akutem ischämischem Schlaganfall diagnostiziert.

Niedriger diastolischer Blutdruck erhöht Risiko für schwere kardiovaskuläre Komplikationen

25.04.2024 Hypotonie Nachrichten

Wenn unter einer medikamentösen Hochdrucktherapie der diastolische Blutdruck in den Keller geht, steigt das Risiko für schwere kardiovaskuläre Ereignisse: Darauf deutet eine Sekundäranalyse der SPRINT-Studie hin.

Frühe Alzheimertherapie lohnt sich

25.04.2024 AAN-Jahrestagung 2024 Nachrichten

Ist die Tau-Last noch gering, scheint der Vorteil von Lecanemab besonders groß zu sein. Und beginnen Erkrankte verzögert mit der Behandlung, erreichen sie nicht mehr die kognitive Leistung wie bei einem früheren Start. Darauf deuten neue Analysen der Phase-3-Studie Clarity AD.

Viel Bewegung in der Parkinsonforschung

25.04.2024 Parkinson-Krankheit Nachrichten

Neue arznei- und zellbasierte Ansätze, Frühdiagnose mit Bewegungssensoren, Rückenmarkstimulation gegen Gehblockaden – in der Parkinsonforschung tut sich einiges. Auf dem Deutschen Parkinsonkongress ging es auch viel um technische Innovationen.

Bildnachweise