Jonathan M Miller1, Julian Wolfson2, Melissa N Laska3, Toben F Nelson3, Mark A Pereira3, Dianne Neumark-Sztainer3. 1. University of Minnesota, Department of Family Medicine and Community Health, Minneapolis, MN;, Email: mill5687@umn.edu. 2. University of Minnesota, Division of Biostatistics, Minneapolis, MN. 3. University of Minnesota, Division of Epidemiology and Community Health, Minneapolis, MN.
Abstract
Objectives: The fit of measured variables into a social-ecological model of correlates of physical activity is rarely tested. In this study, we examined the factor structure of correlates of moderate/vigorous physical activity (MVPA) within a hypothesized social-ecological model. Methods: We measured 46 possible personal, social and environmental correlates of MVPA in 2779 adolescents participating in the Project EAT-2010 study. Confirmatory (CFA) and exploratory factor analyses (EFA) were used to determine the factor structure. Associations of factor scores with self-reported MVPA were calculated with linear regression. Results: A 6-factor CFA model did not show adequate fit. Eight factors were identified using EFA (Root Mean Square Error [RMSEA] 90% CI: 0.053 to 0.055; CFI = 0.82). A factor representing the mix of personal and social correlates showed the strongest association with MVPA. Conclusions: The 8-factor model supports independent clustering of possible environmental correlates of MVPA, but indicates that social and personal correlates may not cluster independently. The factor most strongly correlated with MVPA represented a mix of personal and social correlates. Future work will be needed to better understand how mechanisms for developing physical activity work within and across levels of the social-ecological framework.
Objectives: The fit of measured variables into a social-ecological model of correlates of physical activity is rarely tested. In this study, we examined the factor structure of correlates of moderate/vigorous physical activity (MVPA) within a hypothesized social-ecological model. Methods: We measured 46 possible personal, social and environmental correlates of MVPA in 2779 adolescents participating in the Project EAT-2010 study. Confirmatory (CFA) and exploratory factor analyses (EFA) were used to determine the factor structure. Associations of factor scores with self-reported MVPA were calculated with linear regression. Results: A 6-factor CFA model did not show adequate fit. Eight factors were identified using EFA (Root Mean Square Error [RMSEA] 90% CI: 0.053 to 0.055; CFI = 0.82). A factor representing the mix of personal and social correlates showed the strongest association with MVPA. Conclusions: The 8-factor model supports independent clustering of possible environmental correlates of MVPA, but indicates that social and personal correlates may not cluster independently. The factor most strongly correlated with MVPA represented a mix of personal and social correlates. Future work will be needed to better understand how mechanisms for developing physical activity work within and across levels of the social-ecological framework.
Authors: James F Sallis; Robert B Cervero; William Ascher; Karla A Henderson; M Katherine Kraft; Jacqueline Kerr Journal: Annu Rev Public Health Date: 2006 Impact factor: 21.981
Authors: R V Luepker; C L Perry; S M McKinlay; P R Nader; G S Parcel; E J Stone; L S Webber; J P Elder; H A Feldman; C C Johnson Journal: JAMA Date: 1996-03-13 Impact factor: 56.272
Authors: Larry S Webber; Diane J Catellier; Leslie A Lytle; David M Murray; Charlotte A Pratt; Deborah R Young; John P Elder; Timothy G Lohman; June Stevens; Jared B Jobe; Russell R Pate Journal: Am J Prev Med Date: 2008-03 Impact factor: 5.043
Authors: Andrew J Atkin; Esther M F van Sluijs; James Dollman; Wendell C Taylor; Rebecca M Stanley Journal: Prev Med Date: 2016-03-03 Impact factor: 4.018
Authors: Vanilson Batista Lemes; Adroaldo Cezar Araujo Gaya; Caroline Brand; Arieli Fernandes Dias; Carlos Cristi-Montero; Jorge Mota; Anelise Reis Gaya Journal: Int J Pediatr Adolesc Med Date: 2020-11-19