Creating Value Through Occupational Health Management

In this paper we want to review and discuss research on the effects of occupational health management activities and services on different outcomes like employee health and well-being or absenteeism and other economic outcomes. In part I we outline goals and functions of occupational health management (OHM), then characterize typical occupational health promotion interventions and describe principles for implementing and organizing OHM. Part II focuses on different OHM activities and services such as creating healthy and safe workplace, reducing work-family conflicts, providing counselling via employee assistance programs and implementing health circles or stress management interventions. We will also discuss intervention design and sample studies as well as meta-analytic data relating to the effectiveness of these interventions. Finally, part III is about the economic impact of OHM. Findings from a management evaluation approach for OHM will be discussed. Then we will concentrate especially on data linking health promotion interventions to absenteeism and financial outcomes expressed as cost savings or cost-benefit ratios. The concluding part summarizes key findings of this paper

A Twin-Sibling Study on the Relationship Between Exercise Attitudes and Exercise Behavior

Social cognitive models of health behavior propose that individual differences in leisure time exercise behavior are influenced by the attitudes towards exercise. At the same time, large scale twin-family studies show a significant influence of genetic factors on regular exercise behavior. This twin-sibling study aimed to unite these findings by demonstrating that exercise attitudes can be heritable themselves. Secondly, the genetic and environmental cross-trait correlations and the monozygotic (MZ) twin intrapair differences model were used to test whether the association between exercise attitudes and exercise behavior can be causal. Survey data were obtained from 5,095 twins and siblings (18-50 years). A genetic contribution was found for exercise behavior (50 % in males, 43 % in females) and for the six exercise attitude components derived from principal component analysis: perceived benefits (21, 27 %), lack of skills, support and/or resources (45, 48 %), time constraints (25, 30 %), lack of energy (34, 44 %), lack of enjoyment (47, 44 %), and embarrassment (42, 49 %). These components were predictive of leisure time exercise behavior (RÂ = 28 %). Bivariate modeling further showed that all the genetic (0.36 < |