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Predictors of attrition among participants in a worksite wellness program

<p> Objectives: The purpose of this secondary data analysis was to examine "stage of change" as a predictor of attrition among participants in a worksite wellness program. A Conceptual Model of Attrition was developed to examine health screening, health risk appraisal (HRA), and demographic predictors of attrition as well. Methods: Data for this study were drawn from a worksite wellness program which was sponsored by an integrated rural healthcare system. The sample consisted of 1058 individuals for whom valid demographic, health screening, and HRA data were available. Of the total sample, 414 did not participate in a subsequent year (39.1% attrition). This research was conducted as a predictive correlational study using binary logistic regression analysis. Results: Significant associations between stage of change and attrition were found for the physical activity, nutrition, weight, stress, and overall healthy lifestyle health behavior areas. The stage of change with the highest odds of attrition was the preparation stage across these health behavior areas. In the Conceptual Model of Attrition, significant associations with attrition were found for emotional symptoms, emotional health limitations, health view, and overall healthy lifestyle stage of change. Conclusions: This research has shown that the stage of change construct is useful for predicting attrition. Identification of participants' stage of change offers a leverage point for engagement in worksite wellness programs and for prevention of program attrition. For employers, retention of these employees in their worksite wellness program could yield a greater return on investment resulting in lower health care costs, fewer missed work days, and higher productivity on the job.</p>

Identiferoai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:3620225
Date18 June 2014
CreatorsJohnston, Yvonne A.
PublisherState University of New York at Albany
Source SetsProQuest.com
LanguageEnglish
Detected LanguageEnglish
Typethesis

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