Health, job characteristics, skills, and social and financial factors in relation to early retirement - Results from a longitudinal study in the Netherlands

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Abstract

Objective This study aimed to investigate the relative contribution of health, job characteristics, skills and knowledge, and social and financial factors to the transition from work to (non-disability) early retirement. Methods Employees aged 59-63 years (N=2317) were selected from the Study on Transitions in Employment, Ability and Motivation (STREAM) in the Netherlands. Individual characteristics, health, job characteristics, skills and knowledge, and social and financial factors were measured using a questionnaire at baseline. Information on early retirement was derived from the one-year follow-up questionnaire. Logistic regression analyses were used to identify predictors of early retirement. Population Attributable Fractions (PAF) were calculated. Results Older age [odds ratio (OR) 1.79], poor physical health (OR 1.78), a positive attitude of the partner with respect to early retirement (OR 3.85), and the financial possibility to stop working before the age of 65 (OR 10.2) predicted the transition to early retirement, whereas employees that reported high appreciation at work (OR 0.58) and higher focus on development of skills and knowledge (OR 0.54) were less likely to retire early. PAF were 0.75 for the financial possibility to stop working, 0.43 for a positive attitude of the partner with respect to early retirement, 0.27 for low appreciation at work, 0.23 for a low focus on development, and 0.21 for poor health. Conclusions The financial possibility to stop working before the age of 65 importantly contributes to early retirement. In the context of rapidly diminishing financial opportunities to retire early in the Netherlands, the prolongation of working life might be promoted by workplace health promotion and disability management, and work-related interventions focusing on appreciation and the learning environment.

Figures

  • Figure 1. Flow of the study population.
  • Table 1. Characteristics of study population (N=2317). [IQR= interquartile range (25th–75th percentile)]
  • Table 2. continued
  • Table 3. Population attributable fractions (PAF) of factors that significantly predicted early retirement in multivariate logistic regression analyses [OR=odds ratio; 95% CI=95% confidence interval]
  • Table 2. Predictors of early retirement in logistic regression analyses (N=2317). [OR=odds ratio; 95% CI=95% confidence interval]

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CITATION STYLE

APA

de Wind, A., Geuskens, G. A., Ybema, J. F., Blatter, B. M., Burdorf, A., Bongers, P. M., & van der Beek, A. J. (2014). Health, job characteristics, skills, and social and financial factors in relation to early retirement - Results from a longitudinal study in the Netherlands. Scandinavian Journal of Work, Environment and Health, 40(2), 186–194. https://doi.org/10.5271/sjweh.3393

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