The home environment and childhood obesity in low-income households: indirect effects via sleep duration and screen time
Authors
Appelhans, Bradley M.Fitzpatrick, Stephanie L.
Li, Hong
Cail, Vernon
Waring, Molly E.
Schneider, Kristin L.
Whited, Matthew C.
Busch, Andrew M.
Pagoto, Sherry L.
UMass Chan Affiliations
Prevention Research CenterDepartment of Medicine, Division of Preventive and Behavioral Medicine
Department of Quantitative Health Sciences
Document Type
Journal ArticlePublication Date
2014-11-09Keywords
Childhood obesitySocioeconomic status
Home environment
Sleep
Socioecologic model
UMCCTS funding
Behavioral Disciplines and Activities
Behavior and Behavior Mechanisms
Clinical Psychology
Community-Based Research
Community Health and Preventive Medicine
Health Psychology
Place and Environment
Preventive Medicine
Metadata
Show full item recordAbstract
BACKGROUND: Childhood obesity disproportionally affects children from low-income households. With the aim of informing interventions, this study examined pathways through which the physical and social home environment may promote childhood overweight/obesity in low-income households. METHODS: Data on health behaviors and the home environment were collected at home visits in low-income, urban households with either only normal weight (n = 48) or predominantly overweight/obese (n = 55) children aged 6-13 years. Research staff conducted comprehensive, in-person audits of the foods, media, and sports equipment in each household. Anthropometric measurements were collected, and children's physical activity was assessed through accelerometry. Caregivers and children jointly reported on child sleep duration, screen time, and dietary intake of foods previously implicated in childhood obesity risk. Path analysis was used to test direct and indirect associations between the home environment and child weight status via the health behaviors assessed. RESULTS: Sleep duration was the only health behavior associated with child weight status (OR = 0.45, 95% CI: 0.27, 0.77), with normal weight children sleeping 33.3 minutes/day longer on average than overweight/obese children. The best-fitting path model explained 26% of variance in child weight status, and included paths linking chaos in the home environment, lower caregiver screen time monitoring, inconsistent implementation of bedtime routines, and the presence of a television in children's bedrooms to childhood overweight/obesity through effects on screen time and sleep duration. CONCLUSIONS: This study adds to the existing literature by identifying aspects of the home environment that influence childhood weight status via indirect effects on screen time and sleep duration in children from low-income households. Pediatric weight management interventions for low-income households may be improved by targeting aspects of the physical and social home environment associated with sleep.Source
BMC Public Health. 2014 Nov 9;14:1160. doi: 10.1186/1471-2458-14-1160. Link to article on publisher's site
DOI
10.1186/1471-2458-14-1160Permanent Link to this Item
http://hdl.handle.net/20.500.14038/44907PubMed ID
25381553Related Resources
Rights
© 2014 Appelhans et al.; licensee BioMed Central Ltd.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Distribution License
http://creativecommons.org/licenses/by/4.0/ae974a485f413a2113503eed53cd6c53
10.1186/1471-2458-14-1160
Scopus Count
Except where otherwise noted, this item's license is described as <p>© 2014 Appelhans et al.; licensee BioMed Central Ltd.</p>
<p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<a href="http://creativecommons.org/licenses/by/4.0">http://creativecommons.org/licenses/by/4.0</a>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.</p>