Ontology highlight
ABSTRACT: Background
Understanding predictors of weight loss can assist in developing targeted evidence-based programs to reduce obesity in faith-based settings. The purpose of this study was to examine predictors of weight loss for a sample of African-American women taking part in in a church-based study.Methods
Participants (N = 350) completed physical assessments and comprehensive surveys at baseline and 15 months later. Analyses examined baseline variables and change in variables from baseline to posttest, as predictors of ≥ 5% weight loss at posttest. Demographic, health-related, and behavioral variables were examined.Results
Lower baseline stress predicted greater likelihood of weight loss. Increased leisure-time physical activity (LTPA) from baseline to posttest was predictive of greater weight loss. The odds of ≥ 5% weight loss was 38% lower for every 1-point increase in baseline stress (OR = 0.62, CI = 0.39, 0.98, P = .04) and 6% greater for every 1-hour increase in posttest LTPA (OR = 1.06, CI = 1.0, 1.12, P = .049).Conclusions
Increased LTPA appears to be an independent predictor of modest but meaningful reductions in weight among African-American women. African-American women reporting higher levels of stress at baseline may require more intense strategies emphasizing increased LTPA to lose weight.
SUBMITTER: Kyryliuk R
PROVIDER: S-EPMC6510584 | biostudies-literature | 2015 May
REPOSITORIES: biostudies-literature
Kyryliuk Rebecca R Baruth Meghan M Wilcox Sara S
Journal of physical activity & health 20140604 5
<h4>Background</h4>Understanding predictors of weight loss can assist in developing targeted evidence-based programs to reduce obesity in faith-based settings. The purpose of this study was to examine predictors of weight loss for a sample of African-American women taking part in in a church-based study.<h4>Methods</h4>Participants (N = 350) completed physical assessments and comprehensive surveys at baseline and 15 months later. Analyses examined baseline variables and change in variables from ...[more]