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Publications (6)17.88 Total impact

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    ABSTRACT: The aim of this study was twofold: to investigate socioeconomic differences in disability retirement (DR) due to major diseases and find out which diseases contribute most to the overall socioeconomic differences in DR. The data were longitudinal register-based (10% sample of Finns) from Statistics Finland. These data included 258 428 participants aged 35-64 years during the follow-up. The participants were employed or unemployed before the follow-up period 1997-2010. Of all participants, 14 303 men and 13 188 women ended up in DR during the follow-up. Socioeconomic status was categorized into upper- and lower-class non-manual employees, manual workers, and self-employed persons. Cox models were used to estimate hazard ratios for DR due to different diseases. Compared to upper-class non-manual employees, DR was especially high for manual workers whose retirement diagnoses included psychoactive substance use, musculoskeletal diseases (MSD), or cardiovascular diseases. Socioeconomic differences in DR were stronger for younger age groups and men versus women. For females and males, the largest part of the excess DR among manual workers compared to upper-class non-manual employees was due to MSD. In the age group 54-64 years, the contribution of MSD to the total excess was >50% among male manual workers and 75% among female manual workers. Excess DR due to mental disorders concerned only 35-54-year-old manual workers (among 23% men and 26% women). The contribution of MSD to the total excess DR among lower socioeconomic groups was large. Prevention of MSD among manual workers would likely reduce socioeconomic differences in DR.
    Scandinavian journal of work, environment & health 12/2013; · 3.78 Impact Factor
  • Mikko Laaksonen, Raija Gould
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    ABSTRACT: In addition to individual-level characteristics also contextual factors may contribute to the large regional variation seen in disability retirement. We examined the associations of municipality-level characteristics and disability retirement due to all causes, musculoskeletal diseases, mental disorders and other diseases. A register-based study was conducted with a 20% random sample of the Finnish population aged 25-62 years. Municipalities were separately divided into quintiles by their proportion of manual workers, unemployed and industrial employees. Multilevel Poisson regression analysis was applied to examine associations between the three municipality characteristics and disability retirement during a 5-year follow-up. All three municipality-level indicators were associated with disability retirement, but the association between the proportion of industrial workers and disability retirement disappeared after adjustment for age, gender, marital status, socioeconomic position, unemployment and industrial employee status at the individual level. The associations were particularly strong for disability retirement due to musculoskeletal diseases: in the municipalities with the highest proportion of manual workers, the risk for disability retirement due to musculoskeletal diseases was 2.5 times higher than in the municipalities with least manual workers. After adjustment for the individual-level factors, the risk was 1.5 times higher. Cross-level interactions showed that the risk of disability retirement increased with the increasing proportion of unemployment in the municipality only among those who had not experienced unemployment themselves. Municipality-level characteristics made an independent contribution to the probability of disability retirement in particular due to musculoskeletal diseases. Also, area-level characteristics should be considered when targeting disability retirement.
    The European Journal of Public Health 09/2013; · 2.52 Impact Factor
  • Mikko Laaksonen, Raija Gould
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    ABSTRACT: This study aimed to examine between-county differences in disability retirement due to main diagnosis groups and explain these differences by individual-level demographic and work-related factors and municipality-level characteristics. A 20% random sample of the Finnish social insured population aged 25-62 years at the end of 2006 was followed for disability retirement until the end of 2011. Individual-level demographic and work-related covariates were derived from the registers of the Finnish Centre for Pensions and complemented by municipality-level covariates from the national SotkaNet databank. Standardized disability retirement rates were calculated and logistic regression analysis was used to examine between-county differences during the 5-year follow-up. In the county with the highest incidence, disability retirement was nearly twice as common as in the county with the lowest incidence. The between-county differences were larger in disability retirement due to cardiovascular and musculoskeletal diseases than due to other causes. Adjusting for demographic and work-related characteristics explained a third of the differences. Further adjustment for municipal characteristics explained up to 60% of the differences. However, in regions of Northern and Eastern Finland with the highest incidence of disability retirement, 20-30% excess incidence remained even after all adjustments. Large differences exist in disability retirement between Finnish counties. Disability retirement due to musculoskeletal diseases has the highest impact on the overall differences. Demographic structure and work-related characteristics but also municipality-level characteristics contribute to these differences.
    Scandinavian journal of work, environment & health 06/2013; · 3.78 Impact Factor
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    ABSTRACT: Aims: Socioeconomic differences in disability retirement are large. In this study, the main interest was to find out the contribution of diseases, self-rated health, health behaviours and working conditions to socioeconomic differences in disability retirement. Methods: The data are from the nationally-representative Health 2000 Survey to which register-based retirement data have been linked. These data include 3674 persons aged 30-62 years who were employed at baseline. Of the participants, 363 ended up in disability retirement during the follow-up period 2000-2009. Cox regression analysis was used to calculate hazard ratios and their 95% confidence intervals. Results: The risk of all-cause disability retirement was higher among manual workers (HR for men 2.44, 95% CI 1.64-3.63, women 2.33, 1.57-3.44) than upper-grade non-manual employees. Ill-health and physical working conditions contributed to the socioeconomic differences in disability retirement. The importance of physical working conditions was seen in particular among those aged 50 years or over and those in disability retirement due to musculoskeletal diseases. The contribution of self-rated health was stronger in older than younger disability retirees. Conclusions: Our findings suggest that preventing ill-health and improving working conditions, especially among the lower socioeconomic classes, would help reduce socioeconomic differences in disability retirement.
    Scandinavian Journal of Public Health 03/2013; · 1.97 Impact Factor
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    ABSTRACT: Early retirement due to disability is a public health and work environment problem that shortens working careers. Transition to disability retirement is based on ill-health, but working conditions are also of relevance. We examined the contributions of work arrangements, physical working conditions and psychosocial working conditions to subsequent disability retirement. The data were derived from the Helsinki Health Study cohort on employees of the City of Helsinki, Finland. Information on working conditions was obtained from the baseline surveys conducted in 2000, 2001 and 2002. These data were linked with register data on disability retirement and their main diagnoses obtained from the Finnish Centre for Pensions. Follow up by the end of 2008 yielded 525 disability retirement events. The analysed data included 6525 participants and 525 disability retirement events. Hazard ratios (HR) and 95% confidence intervals (95% CI) were calculated from Cox regression analysis. Several working conditions showed own associations with disability retirement before adjustment. After adjustment for all working conditions, the primary risk factors for all-cause disability retirement were physical workload among women (HR 2.02, 95% CI 1.57-2.59) and men (HR 2.00, 95% CI 1.18-3.38), and low job control among women (HR 1.60, 95% CI 1.29-1.99). In addition, for disability retirement due to musculoskeletal causes, the risk factors were physical workload and low job control. For disability retirement due to mental causes the risk factors were computer work and low job control. Furthermore, occupational class was a risk factor for disability retirement due to all causes and musculoskeletal diseases. Among various working conditions, those that are physically demanding and those that imply low job control are potential risk factors for disability retirement. Improving the physical working environment and enhancing control over one's job is likely to help prevent early retirement due to disability.
    BMC Public Health 04/2012; 12:309. · 2.08 Impact Factor
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    ABSTRACT: Retirement from paid work is a major life event facing increasingly large numbers of people in the coming years. We examined trajectories of mental health five years before and five years after old-age and disability retirement using data on purchases of psychotropic drugs. The study included all employees from the City of Helsinki, Finland, retiring between 2000-2008 due to old age (N=4456) or disability (N=2549). Purchases of psychotropic drugs were analyzed in 20 3-month intervals before and after retirement using graphical methods and growth curve models. Old-age retirement was unrelated to purchases of psychotropic drugs. Among disability retirees, psychotropic medication tripled before retirement. The average increase was 0.95 [95% confidence interval (95% CI) 0.73-1.16] daily defined doses (DDD) 5-1.5 years before retirement; from 1.5 years until retirement it was 5.68 DDD (95% CI 5.33-6.03) for each 3-month interval. After disability retirement, purchases of antidepressants decreased on average by 0.40 DDD (95% CI 0.57-0.23) for each 3-month interval, those of hypnotics and sedatives increased by 0.30 DDD (95% CI 0.12-0.47), and no changes were seen for other psychotropic drugs. The changes before and after retirement were largest among those who retired due to mental disorders and those whose retirement had been granted as temporary. While no overall decrease in psychotropic medication after retirement was observed, purchases of antidepressants decreased after disability retirement. Long-term trajectories suggest that disability retirement might be prevented if mental health problems were tackled more efficiently earlier in the pre-retirement period.
    Scandinavian journal of work, environment & health 03/2012; 38(5):409-17. · 3.78 Impact Factor