Premium
A structural equation model of environmental correlates of adolescent obesity for age and gender groups
Author(s) -
Nesbit K. C.,
Kolobe T. H.,
Sisson S. B.,
Ghement I. R.
Publication year - 2015
Publication title -
pediatric obesity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.226
H-Index - 69
eISSN - 2047-6310
pISSN - 2047-6302
DOI - 10.1111/ijpo.259
Subject(s) - structural equation modeling , medicine , obesity , confidence interval , body mass index , cross sectional study , generalized estimating equation , neighbourhood (mathematics) , demography , psychological intervention , young adult , gerontology , statistics , psychiatry , mathematical analysis , mathematics , pathology , sociology
Summary Background The relationships between environmental correlates of adolescent obesity are complex and not yet well defined by current research, especially when considering age and gender. Objective The purpose of this study was to test a model of proximal (home) and distal (neighbourhood) environmental correlates of obesity for adolescent age and gender groups. Methods This was a descriptive, cross‐sectional study, using the 2007 N ational S urvey of C hildren's H ealth of 39 542 children ages 11–17 years. Results The model fit the data well for early adolescents (ages 11–14 years) (root mean square standard error of approximation [ RMSEA ] 0.040, 90% confidence interval [ CI ]: 0.039–0.041; comparative fit index [ CFI ] 0.947; T ucker‐ L ewis index [ TLI ] 0.929) and middle adolescents (ages 15–17 years) ( RMSEA 0.037, 90% CI : 0.036–0.038; CFI 0.052; TLI 0.937). The model also fit the data well for boy adolescents ( RMSEA 0.038, 90% CI : 0.037–0.039; CFI 0.951; TLI 0.935) and girl adolescents ( RMSEA 0.038, 90% CI: 0.037–0.040; CFI 0.949; TLI 0.932). Conclusions All models provide loadings of the environmental correlates of adolescent obesity for specific age and gender groups that can be used for early identification of risks and targeted interventions.