Sociodemographic and social contextual predictors of multiple health behavior change: Data from the Healthy Directions-Small Business study

Amy E. Harley, Amy L. Sapp, Yi Li, Miguel Marino, Lisa M. Quintiliani, Glorian Sorensen

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)131-139
Number of pages9
JournalTranslational behavioral medicine
Volume3
Issue number1
DOIs
StatePublished - Mar 2013

Keywords

  • Behavioral research
  • Diet
  • Exercise
  • Health promotion
  • Primary prevention
  • Worksite

ASJC Scopus subject areas

  • Applied Psychology
  • Behavioral Neuroscience

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