Association Between Self-Reported Household Practices and Body Mass Index of US Children and Adolescents, 2005

University of British Columbia, Department of Pediatrics and School of Population and Public Health, Developmental Neurosciences and Child Health, L408, 4480 Oak St, Vancouver, BC V6H 3V4 Canada. E-mail: .
Preventing chronic disease (Impact Factor: 2.12). 12/2012; 9:E174. DOI: 10.5888/pcd9.110149
Source: PubMed


Parents can set household practices that influence children's behaviors. The objective of this study was to determine whether children (children and adolescents aged 9-18 y) who live in a household that has healthful practices related to behaviors associated with obesity have a lower body mass index (BMI).
We analyzed data from the 2005 Styles mail panel survey (N = 1,685 parents and children). We used multiple logistic regression to assess associations between 4 household practices and 3 children's behaviors: watching television, participating in vigorous physical activity, and purchasing sodas and snacks at school.
Children watched more television if they had a television in their bedrooms, were less active as a family, and had no junk food restrictions at home. Children in less active families participated in about half as much VPA as children in more active families. Children purchased more sodas and snacks at school if they had a television in their bedrooms and their family consumed more meals at fast-food restaurants. Children whose families were less active were more likely to have a self-reported BMI at or above the 85th percentile. In addition, children who watched more television were more likely to have a self-reported BMI at or above the 85th percentile.
Household practices were associated with children's behaviors and self-reported BMI. A household profile that includes being active as a family may counteract the increase in childhood obesity.

Download full-text


Available from: Deanne Weber, Jan 23, 2015
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Background The aim of this study was to assess the less studied interrelationships and pathways between parental BMI, socioeconomic factors, family structure and childhood overweight. Methods The cross-sectional LATE-study was carried out in Finland in 2007–2009. The data for the analyses was classified into four categories: younger boys and girls (ca 3–8 years) (n = 2573) and older boys and girls (ca 11–16 years) (n = 1836). Associations between parental BMI, education, labor market status, self-perceived income sufficiency, family structure and childhood overweight were first examined by logistic regression analyses. As parental BMI and education had the most consistent associations with childhood overweight, the direct and indirect (mediated by parental BMI) associations of maternal and paternal education with childhood overweight were further assessed using a path model. Results Parental BMI and education were the strongest determinants of childhood overweight. Children of overweight parents had an increased risk of being overweight. In younger boys, maternal and paternal education had both direct (b-coefficient paternal −0.21, 95% CI −0.34 to −0.09; maternal −0.17, 95% CI −0.28 to −0.07) and indirect (b-coefficient paternal −0.04, 95% CI −0.07 to −0.02; maternal −0.04, 95% CI −0.06 to −0.02) inverse associations with overweight. Among the older boys, paternal education had both direct (b-coefficient −0.12, 95% CI −0.24 to −0.01) and indirect (b-coefficient −0.03, 95% CI −0.06 to −0.01) inverse associations with overweight, but maternal education had only an indirect association (b-coefficient −0.04, 95% CI −0.07 to −0.02). Among older girls, only an indirect association of maternal education with childhood overweight was found (b-coefficient −0.03, 95% CI −0.06 to −0.01). In younger girls, parental education was not associated with childhood overweight. Conclusion The observed pathways between parental BMI and education and childhood overweight emphasize a need for evidence-based health promotion interventions tailored for families identified with parental overweight and low level of education.
    BMC Public Health 12/2015; 15(1). DOI:10.1186/s12889-015-1548-1 · 2.26 Impact Factor