0000000000588324

AUTHOR

Mikko Laaksonen

showing 2 related works from this author

Body weight and premature retirement: population-based evidence from Finland.

2021

Abstract 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 fact…

MaleWaistOverweightBody weightLogistic regressionWeight Gain03 medical and health sciences0302 clinical medicineRisk FactorsmedicineHumansAcademicSubjects/MED00860AcademicSubjects/SOC01210030212 general & internal medicineOccupationsFinlandRetirementbusiness.industryConfoundingWork and HealthPublic Health Environmental and Occupational Health030210 environmental & occupational healthWeight distributionFemalemedicine.symptombusinessBody mass indexAcademicSubjects/SOC02610Retirement ageDemographyEuropean journal of public health
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Body weight and premature retirement : population-based evidence from Finland

2021

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 p…

tupakointifinlandeläkkeelle siirtyminentyökykyhealth statusylipainolabor markettyömarkkinatbody mass index procedurepainoindeksiwaist circumference
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