Factor Analysis Test of an Ecological Model of Physical Activity Correlates
Bibliographic Data
| ID | 15329877 |
|---|---|
| Authors | Jonathan Miller (0000-0002-9562-7337, University of Minnesota, corresponding author), Jonathan M Miller (0000-0001-5417-5170, University of Minnesota, Department of Family Medicine and Community Health, Minneapolis, MN;, Email: [email protected]), Julian Wolfson (0000-0002-2032-0875, University of Minnesota), Melissa N Laska (0000-0002-3836-0269, University of Minnesota), Toben F Nelson (0000-0001-9934-7546, University of Minnesota), Mark A Pereira (0000-0003-2418-8215, University of Minnesota), Dianne Neumark-Sztainer (0000-0001-9435-1669, University of Minnesota) |
| Year | 2018 |
| Volume | 43 |
| Issue | 1 |
| Pages | 57-75 |
| Publication date | 2018-12-06 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | American Journal of Health Behavior (JOURNAL) |
| Journal identifiers | ISSN: 1087-3244 • E-ISSN: 1945-7359 |
| Publisher | PNG Publications (PUBLISHER • US) |
| DOI | 10.5993/ajhb.43.1.6 |
| PMID | 30522567 |
| OpenAlex | W2905169809 |
| Language | EN |
| References cited | 6 |
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
Biology · Confirmatory factor analysis · Exploratory factor analysis · Factor analysis · Physical activity · Physical therapy · Psychometrics · Regression analysis · Statistics · Structural equation modeling · Test (biology · Children's Physical and Motor Development · Clinical Psychology · Medicine · Obesity, Physical Activity, Diet · Physical Activity and Health · Psychology · Ecology
Determinants of Change in Physical Activity in Children and Adolescents
The effect of obesity on health outcomes
Outcomes of a Field Trial to Improve Children's Dietary Patterns and Physical Activity
Correlates of physical activity
An Ecological Approach to Creating Active Living Communities
A review of correlates of physical activity of children and adolescents
| Citation velocity | historical |
|---|---|
| Highly cited | No |