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Sociodemographic and social contextual predictors of multiple health behavior change: data from the Healthy Directions-Small Business study.
|Title||Sociodemographic and social contextual predictors of multiple health behavior change: data from the Healthy Directions-Small Business study.|
|Publication Type||Journal Article|
|Year of Publication||2013|
|Authors||Harley AE, Sapp AL, Li Y, Marino M, Quintiliani LM, Sorensen G|
|Journal||Translational behavioral medicine|
|Date Published||2013 Mar|
Multiple modifiable health behaviors contribute to the chronic diseases that are the leading causes of death in the USA. Disparities for meeting recommended health behavior guidelines exist across occupational classes and socioeconomic levels. The purpose of this paper was to investigate sociodemographic and social contextual predictors of multiple health behavior change in a worksite intervention. We analyzed data on four diet and exercise variables from an intervention trial with worksite-level randomization. Eight hundred forty-one employees had complete data from baseline (response rate = 84 %) and follow-up surveys (response rate = 77 %). Multilevel logistic regression estimated associations between least absolute shrinkage and selection operator-selected sociodemographic and social contextual predictor variables and the multiple health behavior change outcome (changing 2+ versus 0 behaviors). Gender, being married/partnered, and perceived discrimination were significantly associated with multiple health behavior change. Sociodemographic and social contextual factors predict multiple health behavior change and could inform the design and delivery of worksite interventions targeting multiple health behaviors.
|Alternate Journal||Transl Behav Med|