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Background: To prospectively examine the association between physical fitness and risk of disability retirement in a large population-based cohort. Methods: This study utilized data from Health 2011 survey Physical Activity subsample (n = 4898), combined with information on disability retirement derived from 2 national registers. In total, 2455 individuals aged 18–74 years underwent the physical fitness test protocol concerning measures of cardiorespiratory fitness, muscle strength, and balance. The outcome variable was disability retirement, during the follow-up period of 9 years. After excluding those not at risk of disability retirement (ie, age ≥63 y) or who had already been granted disability pension, and those who had not completed the fitness protocol, the analytical sample included 1381 participants. Data were analyzed using Cox regression model with SPSS (version 29). Results: During the 9-year follow-up period, 61 individuals (4.4%) transitioned to a disability retirement. Cox regression analysis showed an association between the various physical fitness subdomains and the risk of disability retirement. In model 1, all fitness tests were associated with the risk of disability retirement, except the one-leg stand test with hazard ratios ranging from 1.69 (95% CI, 0.86–3.34) to 5.75 (95% CI, 1.84–17.90). Further adjustment for sociodemographic, health behavior, and health-related covariates attenuated the associations and statistical significance was lost, except for the vertical jump test (hazard ratio = 4.33; 95% CI, 1.32–14.10) and 6-minute walk test (hazard ratio = 3.81; 95% CI, 1.35–10.70). Conclusion: These findings highlight the importance of physical fitness for preventing work disability. [ABSTRACT FROM AUTHOR]

Background: Mental distress among retirees and older people is a severe public health challenge, and information on new risk groups is needed. This study aims to identify subgroups of old-age retirees with varying associations between low social support and mental distress by applying model-based recursive partitioning (MOB). Methods: We used the Helsinki Health Study follow-up survey data of old-age retired former municipal sector employees of the City of Helsinki, Finland. Phase 1 data were collected in 2000–2002, when all participants were employed, Phase 2 in 2007, Phase 3 in 2012, Phase 4 in 2017, and Phase 5 in 2022 (n = 4,466, 81% women). Social support and covariates were measured at each Phase 1–5 and the outcome, mental distress (Depression Anxiety Stress Scales [DASS-21]) was measured at a single occasion, during Phase 5. The three subscales and the common factor of general distress were analysed separately. An approach rooted in computational statistics was used to investigate risk factor heterogeneity in the association of low social support and mental distress. MOB combines decision trees with regression analysis to identify subgroups with the most significant heterogeneity among risk factors. Results: Median (IQR) general distress score from DASS-21 was 5.7 (3.0, 9.0), while Social Support Questionnaire number-score (SSQN) was 1.5 (1.15, 2.05). The primary effect modifier for the association between social support and general distress was education (p < 0.001). Those with high education had a different association of low social support and general distress than those with low or medium education. Additionally, the subgroup with low and medium education had a significant effect modification for age (p = 0.01). For the association between low social support and depressive symptoms, the moderating effect of education was dependent on gender, as men with medium–high education had the weakest association, while for women with medium–high education the association was strongest. Conclusions: Our results suggest that stratification by sociodemographic variables is justifiable when investigating risk factors of mental distress in old-age retirees. The incongruent association of low social support and depressive symptoms in men with medium–high education compared to women with medium–high education is a promising target for confirmatory research. [ABSTRACT FROM AUTHOR]

Background: The aim of this study was to examine the differences in disability retirement between public and private sector employees and to examine the contribution of age, gender and occupational group to the differences between the sectors. Methods: Our Finnish register data consisted of about two million non-retired men and women aged 30–62 years. Cox proportional hazard models were used to calculate hazard ratios for any, full and partial disability retirement in the public sector compared with the private sector. Results: The risk of any disability retirement was higher in the public sector than in the private sector in all occupational groups. The unadjusted hazard ratio ranged from 1.29 (95% CI 1.16–1.44) among teaching professionals to 2.25 (95% CI 1.95–2.58) among skilled agricultural, forestry and fishery workers. Adjustment for age and gender attenuated the differences between the sectors. After adjusting for age, gender and occupational group, the hazard ratio was 1.29 (95% CI 1.27–1.32) for any disability retirement and 2.02 (95% CI 1.96–2.08) for partial disability retirement, but there was no difference between the public sector and private sector employees for full disability retirement. Conclusions: Adjustment of age and gender attenuated the higher risk of disability retirement in the public sector, while adjustment for occupational group widened the sector differences in any and full disability retirement. The risk of partial disability retirement was higher in all occupational groups in the public sector than in the private sector. For full disability retirement, the differences between the sectors were small or non-existent. [ABSTRACT FROM AUTHOR]

Large differences exist in the risk of disability retirement between Finnish municipalities. This study examined whether individual-level and municipality-level characteristics explain these differences and which municipality-level characteristics are particularly important for the risk of disability retirement.Individual-level register data were supplemented with 10 municipality-level characteristics from various databases. A 20% sample of the Finnish population (N=626,391) was followed for transition to disability retirement from 2016 to 2019 using multilevel Weibull models.Of the total variation in the risk of disability retirement, 4.3% was attributed to the municipal-level and decreased to 1.8% when individual-level characteristics (gender, age, education level and entitlement to special reimbursement for medical expenses, reflecting morbidity) were controlled for. Further adjustment for municipality-level characteristics fully erased the differences between municipalities. The proportion of municipality-level variation was larger for disability retirement due to somatic illnesses than mental disorders. Of the municipality-level characteristics, socioeconomic structure, unemployment rate, poverty, net migration between municipalities, dependency ratio, the amount of tax revenue per capita and morbidity were associated with the risk of disability retirement. The municipality-level variation in the risk of disability retirement is largely explained by the individual characteristics of the inhabitants. However, various characteristics of the municipalities show associations with the risk of disability retirement. Recognizing such factors is essential for shaping policies that mitigate disability retirement risk. [ABSTRACT FROM AUTHOR]