Examining Individual Factors According to Health Risk Appraisal Data as Determinants of Absenteeism Among US Utility Employees

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Abstract

Objectives:

To investigate predictors of absenteeism and discuss potential implications for policy/program design.

Methods:

Health Risk Appraisal (HRA) data and self-reported and objective absenteeism (personnel records) were used to develop a structural equation model, controlling for age, sex, and job classification. A Medical Condition Burden Index (MCBI) was created by summing the number of self-reported medical conditions.

Results:

Higher MCBI and stress were direct predictors of absenteeism. Physical activity was not associated with absenteeism but mediated both stress and MCBI.

Conclusions:

Because stress impacted both absenteeism and MCBI, organizations may benefit by placing stress management as a priority for wellness program and policy focus. Physical activity was not directly associated with absenteeism but was a mediating variable for stress and MCBI. Measures of stress and physical health may be more meaningful as outcome measures for physical activity programs than absenteeism.

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