Body weight and premature retirement : population-based evidence from Finland
Viinikainen, Jutta; Tikka, Santtu; Laaksonen, Mikko; Jääskeläinen, Tuija; Böckerman, Petri; Karvanen, Juha (2021-07-19)
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Oxford University Press
19.07.2021
European Journal of Public Health : 4
Tiivistelmä
Background
Health status is a principal determinant of labour market participation. In this study, we examined whether excess weight is associated with withdrawal from the labour market owing to premature retirement.
Methods
The analyses were based on nationally representative data from Finland over the period 2001–15 (N ∼ 2500). The longitudinal data included objective measures of body weight (i.e. body mass index and waist circumference) linked to register-based information on actual retirement age. The association between the body weight measures and premature retirement was modelled using cubic b-splines via logistic regression. The models accounted for other possible risk factors and potential confounders, such as smoking and education.
Results
Excess weight was associated with an increased risk of premature retirement for both men and women. A closer examination revealed that the probability of retirement varied across the weight distribution and the results differed between sexes and weight measures.
Conclusion
Body weight outside a recommended range elevates the risk of premature retirement.
Health status is a principal determinant of labour market participation. In this study, we examined whether excess weight is associated with withdrawal from the labour market owing to premature retirement.
Methods
The analyses were based on nationally representative data from Finland over the period 2001–15 (N ∼ 2500). The longitudinal data included objective measures of body weight (i.e. body mass index and waist circumference) linked to register-based information on actual retirement age. The association between the body weight measures and premature retirement was modelled using cubic b-splines via logistic regression. The models accounted for other possible risk factors and potential confounders, such as smoking and education.
Results
Excess weight was associated with an increased risk of premature retirement for both men and women. A closer examination revealed that the probability of retirement varied across the weight distribution and the results differed between sexes and weight measures.
Conclusion
Body weight outside a recommended range elevates the risk of premature retirement.
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