Literature DB >> 17272590

A multilevel study of the associations between economic and social context, stage of adolescence, and physical activity and body mass index.

Caroline Mae McKay1, Bethany A Bell-Ellison, Kirsten Wallace, John M Ferron.   

Abstract

OBJECTIVE: Prevention efforts targeting adolescent risk behavior have had limited effectiveness, partly because of the reliance on individual-level interventions that do not consider the context within which behavior occurs. In addition, the role of development has not been well studied regarding its possible moderating effects on contextual influences on behavior. The purpose of this study was to examine the influence of economic and social context on the odds of being inactive or having above-normal weight and whether the influence differed on the basis of stage of adolescence.
METHODS: Analysis used a subset of adolescents aged 10 to 17 years from the National Survey of Children's Health (n = 37930) from all states and the District of Columbia (n = 51). Dependent variables included physical activity and BMI. State-level economic context was measured by the proportion of families living below 200% of the federal poverty level. Social context was measured by aggregated means of responses to 2 indicators of social capital: mutual aid and social trust. Multilevel modeling was conducted to investigate associations between state-level economic and social context and physical activity and BMI, while controlling for individual sociodemographic characteristics, and whether these associations were dependent on an individual's stage of adolescence.
RESULTS: Both state-level mutual aid and social trust were significantly related to the odds of an adolescent not meeting current physical activity recommendations, yet state-level poverty was not. For BMI, all 3 state-level variables were significant predictors of having an above-normal BMI. Evidence was found of the moderating influence of stage of adolescence for both outcomes.
CONCLUSIONS: These findings point to the need for the inclusion of contextual-level data in surveillance systems assessing risk behavior in adolescents and consideration of the multilevel nature of the growing problem of inactivity and above-normal weight when focusing public health prevention efforts.

Entities:  

Mesh:

Year:  2007        PMID: 17272590     DOI: 10.1542/peds.2006-2089M

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  11 in total

1.  Prenatal cocaine exposure and BMI and blood pressure at 9 years of age.

Authors:  Seetha Shankaran; Carla M Bann; Charles R Bauer; Barry M Lester; Henrietta S Bada; Abhik Das; Rosemary D Higgins; W Kenneth Poole; Linda L LaGasse; Jane Hammond; Eunice Woldt
Journal:  J Hypertens       Date:  2010-06       Impact factor: 4.844

2.  Risk for obesity in adolescence starts in early childhood.

Authors:  S Shankaran; C Bann; A Das; B Lester; H Bada; C R Bauer; L La Gasse; R D Higgins
Journal:  J Perinatol       Date:  2011-03-17       Impact factor: 2.521

3.  Influence of socio-economic status on habitual physical activity and sedentary behavior in 8- to 11-year old children.

Authors:  Clemens Drenowatz; Joey C Eisenmann; Karin A Pfeiffer; Greg Welk; Kate Heelan; Douglas Gentile; David Walsh
Journal:  BMC Public Health       Date:  2010-04-27       Impact factor: 3.295

4.  Combining data from primary and ancillary surveys to assess the association between neighborhood-level characteristics and health outcomes: the Multi-Ethnic Study of Artherosclerosis.

Authors:  B N Sánchez; T E Raghunathan; A V Diez Roux; Y Zhu; O Lee
Journal:  Stat Med       Date:  2008-11-29       Impact factor: 2.373

5.  Multilevel correlates of physical activity for early, mid, and late adolescent girls.

Authors:  Deborah Young; Brit I Saksvig; Tong Tong Wu; Kathleen Zook; Xia Li; Steven Champaloux; Mira Grieser; Sunmin Lee; Margarita S Treuth
Journal:  J Phys Act Health       Date:  2013-05-13

6.  School-based obesity policy, social capital, and gender differences in weight control behaviors.

Authors:  Ling Zhu; Breanca Thomas
Journal:  Am J Public Health       Date:  2013-04-18       Impact factor: 9.308

7.  Socio-economic inequalities in physical activity practice among Italian children and adolescents: a cross-sectional study.

Authors:  Bruno Federico; Lavinia Falese; Giovanni Capelli
Journal:  Z Gesundh Wiss       Date:  2009-04-09

8.  The influence of social capital and socio-economic conditions on self-rated health among residents of an economically and health-deprived South African township.

Authors:  Jane M Cramm; Anna P Nieboer
Journal:  Int J Equity Health       Date:  2011-11-15

9.  The neighborhood social environment and body mass index among youth: a mediation analysis.

Authors:  Jenny Veitch; Maartje M van Stralen; Mai J M Chinapaw; Saskia J te Velde; David Crawford; Jo Salmon; Anna Timperio
Journal:  Int J Behav Nutr Phys Act       Date:  2012-03-20       Impact factor: 6.457

10.  Predictors for physical activity in adolescent girls using statistical shrinkage techniques for hierarchical longitudinal mixed effects models.

Authors:  Edward M Grant; Deborah Rohm Young; Tong Tong Wu
Journal:  PLoS One       Date:  2015-04-30       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.