Tags

Type your tag names separated by a space and hit enter

The relative contribution of layers of the Social Ecological Model to childhood obesity.
Public Health Nutr 2015; 18(11):2055-66PH

Abstract

OBJECTIVE

The Social Ecological Model (SEM) has been used to describe the aetiology of childhood obesity and to develop a framework for prevention. The current paper applies the SEM to data collected at multiple levels, representing different layers of the SEM, and examines the unique and relative contribution of each layer to children's weight status.

DESIGN

Cross-sectional survey of randomly selected households with children living in low-income diverse communities.

SETTING

A telephone survey conducted in 2009-2010 collected information on parental perceptions of their neighbourhoods, and household, parent and child demographic characteristics. Parents provided measured height and weight data for their children. Geocoded data were used to calculate proximity of a child's residence to food and physical activity outlets.

SUBJECTS

Analysis based on 560 children whose parents participated in the survey and provided measured heights and weights.

RESULTS

Multiple logistic regression models were estimated to determine the joint contribution of elements within each layer of the SEM as well as the relative contribution of each layer. Layers of the SEM representing parental perceptions of their neighbourhoods, parent demographics and neighbourhood characteristics made the strongest contributions to predicting whether a child was overweight or obese. Layers of the SEM representing food and physical activity environments made smaller, but still significant, contributions to predicting children's weight status.

CONCLUSIONS

The approach used herein supports using the SEM for predicting child weight status and uncovers some of the most promising domains and strategies for childhood obesity prevention that can be used for designing interventions.

Authors+Show Affiliations

1School of Nutrition and Health Promotion,Arizona State University,500 N 3rd Street,Phoenix,AZ 85004-2135,USA.2Center for State Health Policy,Institute for Health,Health Care Policy,& Aging Research,Rutgers University,New Brunswick,NJ,USA.1School of Nutrition and Health Promotion,Arizona State University,500 N 3rd Street,Phoenix,AZ 85004-2135,USA.1School of Nutrition and Health Promotion,Arizona State University,500 N 3rd Street,Phoenix,AZ 85004-2135,USA.3College of Nursing and Health Innovation,Arizona State University,Phoenix,AZ,USA.2Center for State Health Policy,Institute for Health,Health Care Policy,& Aging Research,Rutgers University,New Brunswick,NJ,USA.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

25374257

Citation

Ohri-Vachaspati, Punam, et al. "The Relative Contribution of Layers of the Social Ecological Model to Childhood Obesity." Public Health Nutrition, vol. 18, no. 11, 2015, pp. 2055-66.
Ohri-Vachaspati P, DeLia D, DeWeese RS, et al. The relative contribution of layers of the Social Ecological Model to childhood obesity. Public Health Nutr. 2015;18(11):2055-66.
Ohri-Vachaspati, P., DeLia, D., DeWeese, R. S., Crespo, N. C., Todd, M., & Yedidia, M. J. (2015). The relative contribution of layers of the Social Ecological Model to childhood obesity. Public Health Nutrition, 18(11), pp. 2055-66. doi:10.1017/S1368980014002365.
Ohri-Vachaspati P, et al. The Relative Contribution of Layers of the Social Ecological Model to Childhood Obesity. Public Health Nutr. 2015;18(11):2055-66. PubMed PMID: 25374257.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - The relative contribution of layers of the Social Ecological Model to childhood obesity. AU - Ohri-Vachaspati,Punam, AU - DeLia,Derek, AU - DeWeese,Robin S, AU - Crespo,Noe C, AU - Todd,Michael, AU - Yedidia,Michael J, Y1 - 2014/11/06/ PY - 2014/11/7/entrez PY - 2014/11/7/pubmed PY - 2016/3/30/medline KW - Childhood obesity KW - Social Ecological Model SP - 2055 EP - 66 JF - Public health nutrition JO - Public Health Nutr VL - 18 IS - 11 N2 - OBJECTIVE: The Social Ecological Model (SEM) has been used to describe the aetiology of childhood obesity and to develop a framework for prevention. The current paper applies the SEM to data collected at multiple levels, representing different layers of the SEM, and examines the unique and relative contribution of each layer to children's weight status. DESIGN: Cross-sectional survey of randomly selected households with children living in low-income diverse communities. SETTING: A telephone survey conducted in 2009-2010 collected information on parental perceptions of their neighbourhoods, and household, parent and child demographic characteristics. Parents provided measured height and weight data for their children. Geocoded data were used to calculate proximity of a child's residence to food and physical activity outlets. SUBJECTS: Analysis based on 560 children whose parents participated in the survey and provided measured heights and weights. RESULTS: Multiple logistic regression models were estimated to determine the joint contribution of elements within each layer of the SEM as well as the relative contribution of each layer. Layers of the SEM representing parental perceptions of their neighbourhoods, parent demographics and neighbourhood characteristics made the strongest contributions to predicting whether a child was overweight or obese. Layers of the SEM representing food and physical activity environments made smaller, but still significant, contributions to predicting children's weight status. CONCLUSIONS: The approach used herein supports using the SEM for predicting child weight status and uncovers some of the most promising domains and strategies for childhood obesity prevention that can be used for designing interventions. SN - 1475-2727 UR - https://www.unboundmedicine.com/medline/citation/25374257/The_relative_contribution_of_layers_of_the_Social_Ecological_Model_to_childhood_obesity_ L2 - https://www.cambridge.org/core/product/identifier/S1368980014002365/type/journal_article DB - PRIME DP - Unbound Medicine ER -