scholarly journals Work participation trajectories among 1,098,748 Finns: reasons for premature labour market exit and the incidence of sickness absence due to mental disorders and musculoskeletal diseases

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Tea Lallukka ◽  
Erkki Kronholm ◽  
Johanna Pekkala ◽  
Sauli Jäppinen ◽  
Jenni Blomgren ◽  
...  
Keyword(s):  
Mental Disorders ◽  
Sickness Absence ◽  
Cumulative Incidence ◽  
Social Insurance ◽  
Latent Class ◽  
Musculoskeletal Diseases ◽  
Age Groups ◽  
Distinct Group ◽  
Work Participation ◽  
Vulnerable Groups

Abstract Background Early exit from paid employment is a notable public health and societal challenge. Previous research has largely focused on the relationships among variables instead of the relationships among individuals with different work participation history. Person-oriented methods enable to identify latent groups of individuals who are likely to follow similar development in their work participation over time. We thus aimed to identify work participation trajectories during early and midlife careers and their social determinants using large nationally representative data comprising over 1 million initially employed individuals and a 10-year follow-up for their work participation. A further aim was to determine the cumulative incidence of sickness absence due to key diagnostic groups, mental disorders and musculoskeletal diseases within the trajectories. Methods Young (25–38 years at baseline, n = 495,663) and midlife (39–52 years at baseline, n = 603,085) Finnish people, all working in 2004, were followed up through 2013, with registers of the Social Insurance Institution, and the Statistics Finland. The registers provided data for work participation and its determinants, as well as for computing the cumulative incidence of sickness absence. Latent class growth analysis was used to identify trajectories. Results Three distinctive trajectories were identified: temporary exit, permanent exit, and continuously employed people. As compared to the other trajectories, those belonging to the permanent exit trajectory were more likely men, manual workers and had a lower income. The cumulative incidence of sickness absence due to mental disorders was highest in the permanent exit trajectory group. For musculoskeletal diseases, the cumulative incidence of sickness absence increased in the permanent exit trajectory mainly in the older age groups. Conclusion Distinct group-based trajectories of early work exit can be identified in a representative cohort of initially employed people. Focusing on the determinants of premature exit and early intervention to tackle increasing sickness absence may promote work participation particularly in the most vulnerable groups.

scholarly journals Work participation trajectories in 1098748 Finns: determinants and the incidence of sickness absence

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
T Lallukka ◽  
E Kronholm ◽  
J Pekkala ◽  
S Jäppinen ◽  
J Blomgren ◽  
...  
Keyword(s):  
Mental Disorders ◽  
Sickness Absence ◽  
Cumulative Incidence ◽  
Latent Class ◽  
Musculoskeletal Diseases ◽  
Age Groups ◽  
Work Participation ◽  
Vulnerable Groups ◽  
Paid Employment ◽  
Representative Cohort

Abstract Background Early exit from paid employment is a notable public health and societal challenge. Previous research has largely focused on the relationships among variables instead of the relationships among individuals with different work participation history. Person-oriented methods enable to identify latent groups of individuals who are likely to follow similar development in their work participation over time. We thus aimed to identify work participation trajectories during early and midlife careers and their social determinants. A further aim was to determine the cumulative incidence of sickness absence due to key diagnostic groups, mental disorders and musculoskeletal diseases within the trajectories. Methods Young (25-38 years at baseline, n = 495663) and midlife (39-52 years at baseline, n = 603085) Finnish people, working in 2004, were followed up through 2013, with registers of the Social Insurance Institution, and the Statistics Finland. The registers provided data for the outcome (work participation) and its determinants and sickness absence. Latent class growth analysis was used to identify trajectories. Results Three distinctive trajectories were identified: temporary exit, permanent exit, and continuously employed people. As compared to the other trajectories, those belonging to the permanent exit trajectory were more likely men, manual workers and had a lower income. The cumulative incidence of sickness absence due to mental disorders was highest in the permanent exit trajectory group. For musculoskeletal diseases, the cumulative incidence of sickness absence increased in the permanent exit trajectory mainly in the older age groups. Conclusions Distinct group-based trajectories of early work exit can be identified in a representative cohort of initially employed people. Focusing on the determinants of premature exit and early intervention to tackle increasing sickness absence may promote work participation particularly in the most vulnerable groups. Key messages Distinct trajectories of premature exit from paid employment can be identified in a nationally representative cohort of initially employed people from Finland. Focusing on the determinants and reasons of premature long-term labor market exit may help promote work participation particularly in the most vulnerable groups.

scholarly journals Increase in sickness absence due to mental disorders in Finland: trends by gender, age and diagnostic group in 2005–2019

2021 ◽  
pp. 140349482199370
Author(s):  
Jenni Blomgren ◽  
Riku Perhoniemi
Keyword(s):  
Mental Disorders ◽  
Sickness Absence ◽  
Social Insurance ◽  
Age Groups ◽  
Diagnostic Group ◽  
Special Focus ◽  
Gender And Age ◽  
The Social ◽  
Public Health Challenges ◽  
Working Age

Aims: Mental disorders are among the key public health challenges and cause a significant share of sickness absence. The aim of this study was to examine gender and age-specific trends in sickness absence in Finland among non-retired persons aged 16–67 years during 2005–2019 by main diagnostic groups. Special focus was put on the development of sickness absence due to mental and behavioural disorders. Methods: Data on compensated sickness allowance days were retrieved from the database of the Social Insurance Institution of Finland, and data on the non-retired population aged 16–67 years from the database of Statistics Finland for years 2005–2019. Yearly age-standardised sickness absence rates (yearly sickness absence days per each person in the population at risk) according to diagnostic group were calculated for women and men in age groups 16–34, 35–49 and 50–67 years. Results: A steep increase in sickness absence due to mental disorders was observed between 2016 and 2019 in all age groups among both genders, but the increase was more prominent among women. The age group 16–34 years also showed a longer-term gradual increase. In all examined gender and age groups, the increase was mainly a consequence of an increase in sickness absence due to depression and anxiety disorders. Conclusions: Increase in sickness absence due to mental disorders is an early sign of threats to work ability and productivity of the working-age population. Several factors may simultaneously drive the development. The specific reasons for the recent trend need to be studied.

scholarly journals Associations between workplace bullying and later benefit recipiency among workers with common mental disorders

2021 ◽  
Author(s):  
Camilla Løvvik ◽  
Simon Øverland ◽  
Morten Birkeland Nielsen ◽  
Henrik Børsting Jacobsen ◽  
Silje Endresen Reme
Keyword(s):  
Social Support ◽  
Mental Disorders ◽  
Sickness Absence ◽  
Workplace Bullying ◽  
Common Mental Disorders ◽  
Controlled Trial ◽  
Work Participation ◽  
Randomized Controlled

Abstract Objective In this study, we examined exposure to workplace bullying as a predictor of registry-based benefit recipiency among workers struggling with work participation due to common mental disorders. Further, we examined if the experience of receiving social support moderated the association between workplace bullying and benefit recipiency. Design Secondary analyses of a randomized controlled trial. Patients People struggling with work participation due to common mental disorders (CMD). Methods Study participants (n = 1193) were from a randomized controlled trial (The At Work and Coping trial (AWaC), trial registration http://www.clinicaltrials.gov NCT01146730), and self-reported CMD as a main obstacle for work participation. Participants were at risk of sickness absence, currently on sickness absence or on long-term benefits. Benefit recipiency indicated sickness absence and/or long-term benefits (i.e., disability pension) at 6-month follow-up. Results Of the 1193 participants, 36% reported exposure to workplace bullying. Workplace bullying was significantly associated with benefit recipiency at 6-month follow-up (OR 1.41, CI 1.11–1.79). Social support did not moderate the association between bullying and benefit recipiency. Conclusions The finding that workplace bullying increases the risk of later benefit recipiency suggest that bullying is a significant obstacle for work participation.

scholarly journals Work participation and working life expectancy after a disabling shoulder lesion

2019 ◽  
Vol 76 (6) ◽  
pp. 363-369 ◽  
Author(s):  
Maria Sirén ◽  
Eira Viikari-Juntura ◽  
Jari Arokoski ◽  
Svetlana Solovieva
Keyword(s):  
Life Expectancy ◽  
Sickness Absence ◽  
Cox Regression ◽  
Musculoskeletal Diseases ◽  
Working Life ◽  
Work Participation ◽  
Disability Retirement ◽  
Musculoskeletal Problems ◽  
Wage Earners ◽  
The Impact

ObjectiveTo examine the impact of a disabling non-traumatic shoulder lesion on work participation and working life expectancy.MethodsFrom a 70% random sample of the Finnish population, we selected 30–59-year-old wage earners with prolonged sickness absence due to a shoulder lesion (n=7644). We followed the persons from 2006 to 2014 and calculated the proportion of time a person spent in different work participation statuses. The associations of potential determinants with a preterm exit from paid employment were tested using Cox regression. Years expected to be spent in different work participation statuses were estimated applying the Sullivan method for healthy life expectancy.ResultsDuring 9 years of follow-up time spent at work was reduced from 77.7% to 46.7%, and 15.8% of the persons were granted disability retirement, mostly due to shoulder and other musculoskeletal diseases. Compared with the general population persons with a disabling shoulder disease are expected to lose from 1.8 to 8.1 years of working life, depending on their age. Age, gender, education, duration of initial sickness absence due to the shoulder lesion, not being able to return to work sustainably and participation in vocational rehabilitation predicted preterm exit from work. Heavy lifting increased the risk of preterm exit marginally.ConclusionsWorking life expectancy is markedly reduced in persons with a disabling shoulder lesion, mainly because of disability retirement due to musculoskeletal problems. Clinicians should consider interventions targeted at improving musculoskeletal functioning and necessary work modifications before shoulder problems become chronic or the persons develop disabling comorbid musculoskeletal conditions.

scholarly journals Diagnosis-Specific Sickness Absence and Subsequent Common Mental Disorders: A Register-Linkage Cohort Study among Finnish Public Sector Employees

2020 ◽  
Vol 17 (3) ◽  
pp. 782
Author(s):  
Elina Mauramo ◽  
Tea Lallukka ◽  
Minna Mänty ◽  
Hilla Sumanen ◽  
Olli Pietiläinen ◽  
...  
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Mental Disorders ◽  
Sickness Absence ◽  
Common Mental Disorders ◽  
Musculoskeletal Diseases ◽  
Multinomial Logistic Regression ◽  
General Health Questionnaire ◽  
Health Behaviours ◽  
Health Study

Sickness absence is associated with poor health outcomes, but little is known about its consequences for general mental health. This study examined the associations between diagnosis-specific sickness absence and subsequent common mental disorders (CMD). Register data on medically certified all-cause sickness absence and sickness absence due to mental disorders and musculoskeletal diseases from 2004–2007 were linked to the Helsinki Health Study 2007 and 2012 survey data on City of Helsinki employees in Finland (N = 3560). Using logistic regression and multinomial logistic regression, we analysed the associations between the total number of reimbursed sickness absence days in 2004-7 and CMD General Health Questionnaire 12) in 2007 and 2012 and CMD changes. Sickness absence due to mental disorders (age- and sex-adjusted odds ratio (OR)range: 2.16 to 2.93), musculoskeletal diseases (OR range: 2.79 to 2.93) and all-cause sickness absence (OR range: 1.48 to 3.20) were associated with CMD in 2007. In 2012, associations with lower ORs were observed. Associations were also found with changing and especially repeated (OR range: 1.49 to 3.40) CMD. The associations remained after adjusting for work-related covariates and health behaviours. Diagnosis-specific sickness absence showed persistent associations with subsequent CMD and their changes. Attention should be paid to both the short- and long-term consequences of sickness absence for employee mental health.

scholarly journals Minimum subsistence level in the social policy of the poor countries of Europe: the case of Ukraine

2020 ◽  
Vol 182 (3-4) ◽  
pp. 117-125
Author(s):  
Еlla Libanova ◽  
Keyword(s):  
Social Insurance ◽  
Age Groups ◽  
Maximum Level ◽  
Poverty Line ◽  
Vulnerable Groups ◽  
Absolute Poverty ◽  
Subsistence Level ◽  
Food Component ◽  
Definition Of ◽  
The Impact

The category of «minimum subsistence level» (SL), also referred to as «absolute poverty line», is one of the fundamental in the socio-economic policy of the modern country. The majority of social transfers depends on the size of the minimum subsistence level, i.e., the level of state support for vulnerable groups of the population; SL is the basis for setting a number of salaries in the budgetary sphere and, accordingly, the amount of tax revenues; the practice is common of reconciling the size of the minimum wage and the maximum level of income from which contributions to compulsory state social insurance are paid with SL. Thus, the SL forms a significant part of budget expenditures and at the same time revenues in the public finance system. The article presents the results of systematization of the principles and methods of calculating SL adopted in different countries. In particular, the characteristics of normative, structural and normative, statistical, resource-based and subjective approaches are given. Considering the well-founded claims to the current methodology for determining SL in Ukraine, the urgent need for its transformation is emphasized and the author’s vision of innovations is highlighted. The rationale is provided for introducing a structural and normative approach for the analysis, monitoring and forecasting of social development and welfare, differentiated by age groups, determined in accordance with participation in education and the labour market. The necessity is emphasized of: developing the norms of food consumption exclusively by medical specialists; using different SL structures; transition to the calculations of SL of the households with a separate definition of the so-called semi-fixed costs (at the level of 20-30% of the food component of a person aged 20-64), which eliminates the use of disputable scales of equivalence. For the purpose of social assistance and calculation of its amount, it is proposed to focus on 40% of the median official salary. The argument is that payouts from the budget depend on the revenues, i.e., taxes on legal wages, and, moreover, this is the threshold accepted in many European countries. The article provides examples of SL calculations, in particular, with the definition of the impact of various methodological schemes on the level and depth of poverty in the country, on the structure of the poor.As the final result the proposals are given for the use of SL in public policy.

scholarly journals Socioeconomic Differences in Occupational Health Service Utilization and Sickness Absence Due to Mental Disorders: A Register-Based Retrospective Cohort Study

2020 ◽  
Vol 17 (6) ◽  
pp. 2064
Author(s):  
Jaakko Harkko ◽  
Hilla Sumanen ◽  
Olli Pietiläinen ◽  
Kustaa Piha ◽  
Minna Mänty ◽  
...  
Keyword(s):  
Mental Disorders ◽  
Health Service ◽  
Occupational Health ◽  
Sickness Absence ◽  
Cox Regression ◽  
Age Groups ◽  
Occupational Health Service ◽  
Linkage Data ◽  
Socioeconomic Differences ◽  
Care Services

Occupational health service (OHS) is the main provider of primary care services for the working population in Finland. We investigated whether socioeconomic differences in the utilization of OHS predict sickness absence (SA) due to mental disorders. We used register linkage data covering the employees of the City of Helsinki aged 18–34 years (N = 6545) and 35–54 years (N = 15,296) from 2009 to 2014. The outcome was medically certified long-term (over 11 days) SA due to mental disorders. Cox regression analyses were performed to obtain hazard ratios (HR) and their 95% confidence intervals (CIs). Employees with low socioeconomic position (SEP) used OHS more frequently. The number of OHS visits independently predicted SA due to mental disorders. HRs were 1.59 (95% CI 1.35, 1.86) for those with frequent visits and 1.73 (95% CI 1.30, 2.29) for those with a clustered visit pattern among 18–34 year old employees; and 1.46 (95% CI 1.18, 1.81) and 1.41 (95% CI 1.14, 1.74) among 35–54 year old employees, respectively. In both age groups, lower education and routine non-manual worker position indicated the highest probability of SA. Low SEP predicts both high OHS utilization and subsequent SA due to mental disorders. Medical records may be used to accurately predict future SA, and the results indicate that preventive measures should be targeted particularly to younger employees with lower SEP.

scholarly journals Role of social benefits for future long-term sickness absence, disability pension and unemployment among individuals on sickness absence due to mental diagnoses: a competing risk approach

2021 ◽  
Author(s):  
Annina Ropponen ◽  
Jurgita Narusyte ◽  
Mo Wang ◽  
Sanna Kärkkäinen ◽  
Lisa Mather ◽  
...  
Keyword(s):  
Sickness Absence ◽  
Cumulative Incidence ◽  
Disability Pension ◽  
Social Insurance ◽  
Proportional Hazards ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Social Benefits

Abstract Purpose To investigate associations between social benefits and disability pension (DP), long-term sickness absence (LTSA, ≥ 90 days), or unemployment among Swedish twins with sickness absence (SA) due to mental diagnoses. Methods This population-based prospective twin study included register data on first incident SA spell (< 90 days) due to mental diagnoses (ICD 10 codes F00-F99) during the follow-up 2005–2016. SA < 90 days due to other diagnoses than mental diagnoses or any other social insurance benefit was identified for the preceding year of the first incident SA spell due to mental diagnoses (coded yes/no). Comparing those with any previous social benefits vs without, cumulative incidence curve to compare time to an event, and Cox proportional hazards models for cause-specific hazard ratios (HR, 95% confidence intervals, CI) treating first incident DP, LTSA and unemployment as competing risks were modeled. Results During follow-up, 21 DP, 1619 LTSA, and 808 unemployment events took place. Compared to those without, those with at least one benefit had a higher risk for DP (HR 5.03; 95%CI 1.80, 14.01), LTSA (1.67; 1.50, 1.84) and unemployment (1.24; 1.03, 1.50). The cumulative incidence for DP was very low, < 1%, for LTSA 80% with any previous social benefits vs. 60% without, and for unemployment ≤ 5%. Conclusion Social benefits received during the preceding year of SA due to mental diagnoses (< 90 days) predict DP, LTSA, and unemployment. Hence, previous social benefits may provide means for early identification of persons at risk for exit from labor market.

Impact of changes in welfare legislation on the incidence of disability pension. A cohort study of construction workers

2018 ◽  
Vol 48 (4) ◽  
pp. 405-411
Author(s):  
Mia Söderberg ◽  
Ruth Mannelqvist ◽  
Bengt Järvholm ◽  
Linus Schiöler ◽  
Mikael Stattin
Keyword(s):  
Incidence Rate ◽  
Disability Pension ◽  
Social Insurance ◽  
Musculoskeletal Diseases ◽  
Age Groups ◽  
Incidence Rates ◽  
Construction Workers ◽  
Age Group ◽  
National Insurance ◽  
Over Time

Aims: Study objectives were to investigate how changes in social insurance legislation influenced the incidence of disability pension. Methods: The study included 295,636 male construction workers who attended health examinations between 1971 and 1993, aged 20–60 years and without previous disability pension. Via the Swedish National Insurance Agency national register we identified 66,046 subjects who were granted disability pension up until 2010. The incidence rates were calculated and stratified according to age and diagnosis. Results: The incidence rate of disability pension was fairly stable until the 1990s when large variations occurred, followed by a strong decreasing trend from the early 2000s to 2010. Trends in incidence rates, stratified by age and diagnosis, showed a consistent decrease in cardiovascular disease for all age groups. In subjects aged 30–49 years there was a high peak around 2003 for musculoskeletal diseases and psychiatric diseases. For the age group 50–59 years, musculoskeletal diagnosis, the most common cause of disability pension, had a sharp peak around 1993 and then a decreasing trend. In the 60–64 age group, the incidence rate for psychiatric diagnosis was stable, while incidence rates for musculoskeletal diagnosis varied during the 1990s. Conclusions: There are considerable variations in the incidence rate of disability pension over time, with different patterns depending on age and diagnosis. Changes in social insurance legislation, as well as in administration processes, seem to influence the variation.

Sign in / Sign up

Export Citation Format

Share Document