Occupational Medicine Advance Access published online on September 4, 2009
Occupational Medicine, doi:10.1093/occmed/kqp126
Predictors of employees early retirement intentions: an 11-year longitudinal study
1 The Finnish Institute of Occupational Health, Topeliuksenkatu 41 a A, FIN-00250 Helsinki, Finland
2 School of Business and Economics, University of Jyväskylä, PO Box 35 (MaE), FIN-40014, Finland
Background Adjusting work life and encouraging older employees to continue at work has become a common challenge as the workforce ages. Gender differences in retirement decisions have largely been overlooked in previous studies, despite the fact that retirement as a life course event and the experience of retirement can be gender dependent.
Aims To explore which personal and work-related psychological factors predict early retirement intentions among older women and men and to investigate the stability of these predictors through use of longitudinal data.
Methods This research is based on an 11-year follow-up study of ageing Finnish municipal employees. Data on 1101 employees early retirement intentions were analysed with binary logistic regression analysis in separate longitudinal and cross-sectional models.
Results Gender differences in early retirement intentions were detected both at baseline and at follow-up. Negative perceptions about work and low work and general life satisfaction were associated with early retirement intentions among women. For men, good self-rated work ability and perceived good health were negatively associated with early retirement intentions. In addition, negative perceptions about work predicted early retirement intentions among men.
Conclusions Adverse work- or health-related factors detected in middle age predicted subsequent early retirement intentions.
Keywords Early retirement intentions; gender; negative perceptions about work; work ability
Correspondence to: Monika E. von Bonsdorff, The Finnish Institute of Occupational Health, Topeliuksenkatu 41 a A, FIN-00250 Helsinki, Finland. Tel. +358 46 851 4969; e-mail: monika.bonsdorff{at}ttl.fi.