SUMMARYBackground: Although the unemployment rate in Germany is currently low, more than a million persons in the country have been out of work for more than a year. In this review article, we address these persons' state of health, the effect of unemployment on health, and the influence of macroeconomic factors and social policy.

This study aimed to develop, implement, and evaluate an occupational health intervention that is based on the theoretical model of selection, optimization, and compensation (SOC). We conducted a stratified randomized controlled intervention with 70 nurses of a community hospital in Germany (94% women; mean age 43.7 years). Altogether, the training consisted of 6 sessions (16.5 hours) over a period of 9 months. The training took place in groups of 6-8 employees. Participants were familiarized with the SOC model and developed and implemented a personal project based on SOC to cope effectively with 1 important job demand or to activate a job resource. Consistent with our hypotheses, we observed a meaningful trend that the proposed SOC training enhanced mental well-being, particularly in employees with a strong commitment to the intervention. While highly committed training participants reported higher levels of job control at follow-up, the effects were not statistical significant. Additional analyses of moderation effects showed that the training is particularly effective to enhance mental well-being when job control is low. Contrary to our assumptions, perceived work ability was not improved by the training. Our study provides first indications that SOC training might be a promising approach to occupational health and stress prevention. Moreover, it identifies critical success factors of occupational interventions based on SOC. However, additional studies are needed to corroborate the effectiveness of SOC trainings in the occupational contexts.

The findings are in line with the assumption that experience-guided working is of the utmost importance for dealing with critical situations. Consequences of these results for nursing and person-related services in general are discussed and the aim of future research is outlined.

Selection, optimization and compensation in nursing contributes positively to work ability, particularly in older nurses. This finding is relevant for the development of measures that promote work ability of nurses over the course of their professional careers.

We propose an integrated model of learning demands, work-related resources, and job stressors, which incorporates core assumptions of work design in predicting processes of learning and performance as well as health impairment. The model was tested in a heterogeneous sample of 830 employees using structural equation modeling. Empirical results largely support theoretical assumptions. Learning demands and work-related resources were positively related to intrinsic motivation and creative performance. Job stressors and low work-related resources were predictive for health impairment. The suggested tripartite taxonomy reconciles inconsistent research findings on the impact of work characteristics. The model provides practical guidance for work analysis and design by clarifying relationships between established work characteristics, job performance, and worker health.