AIMS: To examine the associations of mental health functioning with intentions to retire early among ageing municipal employees. METHODS: Cross-sectional survey data (n = 7,765) from the Helsinki Health Study in 2000, 2001, and 2002 were used. Intentions to retire early were sought with a question: "Have you considered retiring before normal retirement age?" The dependent variable was divided into three categories: 1 = no intentions to retire early; 2 = weak intentions; 3 = strong intentions. Mental health functioning was measured by the Short Form 36 (SF-36) mental component summary (MCS). Other variables included age, sex, physical health functioning (SF-36), limiting longstanding illness, socioeconomic status, and spouse's employment status. Multinomial regression analysis was used to examine the association of mental health functioning with intentions to retire early. RESULTS: Employees with the poorest mental health functioning were much more likely to report strong intentions to retire early (OR 6.09, 95% CI 4.97-7.47) than those with the best mental health functioning. Adjustments for physical health, socioeconomic status, and spouse's employment status did not substantially affect this association. CONCLUSIONS: The findings highlight the importance of mental health for intentions to retire early. Strategies aimed at keeping people at work for longer should emphasize the importance of mental well-being and the prevention of poor mental health. More evidence is needed on why mental problems among ageing baby-boomer employees are giving rise to increasing social consequences, although the overall prevalence of mental problems has not increased.
AIMS: To examine the associations of mental health functioning with intentions to retire early among ageing municipal employees. METHODS: Cross-sectional survey data (n = 7,765) from the Helsinki Health Study in 2000, 2001, and 2002 were used. Intentions to retire early were sought with a question: "Have you considered retiring before normal retirement age?" The dependent variable was divided into three categories: 1 = no intentions to retire early; 2 = weak intentions; 3 = strong intentions. Mental health functioning was measured by the Short Form 36 (SF-36) mental component summary (MCS). Other variables included age, sex, physical health functioning (SF-36), limiting longstanding illness, socioeconomic status, and spouse's employment status. Multinomial regression analysis was used to examine the association of mental health functioning with intentions to retire early. RESULTS: Employees with the poorest mental health functioning were much more likely to report strong intentions to retire early (OR 6.09, 95% CI 4.97-7.47) than those with the best mental health functioning. Adjustments for physical health, socioeconomic status, and spouse's employment status did not substantially affect this association. CONCLUSIONS: The findings highlight the importance of mental health for intentions to retire early. Strategies aimed at keeping people at work for longer should emphasize the importance of mental well-being and the prevention of poor mental health. More evidence is needed on why mental problems among ageing baby-boomer employees are giving rise to increasing social consequences, although the overall prevalence of mental problems has not increased.