PURPOSE: To investigate the impact of selected corporate environment factors, health risks, and medical conditions on job performance using a self-reported measure of presenteeism. DESIGN: A cross-sectional survey utilizing health risk appraisal (HRA) data merging presenteeism with corporate environment factors, health risks, and medical conditions. SETTING: Approximately 8000 employees across ten diverse Australian corporations. SUBJECTS: Employees (N = 1523; participation rate, 19%) who completed an HRA questionnaire. MEASURES: Self-reported HRA data were used to test associations of defined adverse corporate environment factors with presenteeism. Stepwise multivariate logistic regression modeling assessed the relative associations of corporate environment factors, health risks, and medical conditions with increased odds of any presenteeism. RESULTS: Increased presenteeism was significantly associated with poor working conditions, ineffective management/leadership, and work/life imbalance (adjusting for age, gender, health risks, and medical conditions). In multivariate logistic regression models, work/life imbalance, poor working conditions, life dissatisfaction, high stress, back pain, allergies, and younger age were significantly associated with presenteeism. CONCLUSIONS: Although the study has some limitations, including a possible response bias caused by the relatively low participation rate across the corporations, the study does demonstrate significant associations between corporate environment factors, health risks, and medical conditions and self-reported presenteeism. The study provides initial evidence that health management programming may benefit on-the-job productivity outcomes if expanded to include interventions targeting work environments.
PURPOSE: To investigate the impact of selected corporate environment factors, health risks, and medical conditions on job performance using a self-reported measure of presenteeism. DESIGN: A cross-sectional survey utilizing health risk appraisal (HRA) data merging presenteeism with corporate environment factors, health risks, and medical conditions. SETTING: Approximately 8000 employees across ten diverse Australian corporations. SUBJECTS: Employees (N = 1523; participation rate, 19%) who completed an HRA questionnaire. MEASURES: Self-reported HRA data were used to test associations of defined adverse corporate environment factors with presenteeism. Stepwise multivariate logistic regression modeling assessed the relative associations of corporate environment factors, health risks, and medical conditions with increased odds of any presenteeism. RESULTS: Increased presenteeism was significantly associated with poor working conditions, ineffective management/leadership, and work/life imbalance (adjusting for age, gender, health risks, and medical conditions). In multivariate logistic regression models, work/life imbalance, poor working conditions, life dissatisfaction, high stress, back pain, allergies, and younger age were significantly associated with presenteeism. CONCLUSIONS: Although the study has some limitations, including a possible response bias caused by the relatively low participation rate across the corporations, the study does demonstrate significant associations between corporate environment factors, health risks, and medical conditions and self-reported presenteeism. The study provides initial evidence that health management programming may benefit on-the-job productivity outcomes if expanded to include interventions targeting work environments.
Authors: Andrés A Agudelo-Suárez; Fernando G Benavides; Emily Felt; Elena Ronda-Pérez; Carmen Vives-Cases; Ana M García Journal: BMC Public Health Date: 2010-12-29 Impact factor: 3.295
Authors: Fiona Cocker; Angela Martin; Jenn Scott; Alison Venn; Kristy Sanderson Journal: Int J Environ Res Public Health Date: 2013-10-15 Impact factor: 3.390