Predicting disability pension – depression as hazard: a 10 year population‐based cohort study in norway

Lassemo, Eva; Sandanger, Inger; Nygård, Jan F.; Sørgaard, Knut W.

doi:10.1002/mpr.1473

Cited by 12 publications

(13 citation statements)

References 18 publications

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“…The findings that peer problems and hyperactivity in females were associated with being NEET-later, is supported by previous findings in the NAAHS study among young females when it comes to high school dropout31 and partly for tertiary education 30. Myklestad et al 69 suggest that poor mental health contributes to high school dropout or lower educational achievement,30 31 and later work marginalisation by disability pension 70. SDQ’s hyperactivity scale used in this study also includes attention problems, which are shown to cause cognitive problems in school 71.…”

Section: Discussionsupporting

confidence: 66%

Not engaged in education, employment or training (NEET) in an Arctic sociocultural context: the NAAHS cohort study

2019

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ObjectivesThe purpose of the study is to explore the prevalence and predictors of not engaged in education, employment or training (NEET) status in a multicultural young adult population in Northern Norway.Design and settingThe longitudinal design link a self-reported survey (2003–2005) with an objective registry linkage follow-up 8–10 years later.ParticipantsOf all 5877 tenth graders (aged 15–16 years) in Northern Norway, 83% of the total age cohort from all 87 municipalities participated in the baseline survey. The follow-up studies consisted of 3987 consent giving adolescents (68%), were 365 (9.2%) reported indigenous Sami ethnicity.Outcome measuresYouth NEET at the age of 23–25 years.MethodsExplanatory variables were sociodemographic factors (gender, ethnicity, residency, parental education), mental health problems and musculoskeletal pain in adolescence. Outcome variable characterised as NEET-status was defined by no educational engagement, long-term recipient of sickness benefit, medical and non-medical benefit receipt or long-term unemployment.ResultsNEET-status in young adulthood was significantly higher among females (20.9%) than among males (16.2%). Ethnic differences occurred as being NEET among Sami males was significantly higher than among non-Sami males, 23.0% and 15.2% respectively. Minority Sami females experienced NEET-status to a lower degree (16.6%) than non-Sami females (20.8%). Among females adolescent peer problems (adjusted OR=1.09) and hyperactivity problems (adjusted OR=1.10) were associated with later NEET-status. Peer problems (adjusted OR=1.23), conduct problems (adjusted OR=1.17) and musculoskeletal problems (adjusted OR=1.15) in male adolescents were associated with later NEET-status, whereas emotional problems among males predicted significantly less later NEET- status (adjusted OR=0.88).We found lower parental education to be significantly associated with being NEET-later in young adults (females: adjusted OR=2.11, males: adjusted OR=3.22).ConclusionsTo address the disengagement of education and work, particular emphasis must be placed on supporting young people struggling with mental and physical health problems.

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Section: Discussionsupporting

confidence: 66%

Not engaged in education, employment or training (NEET) in an Arctic sociocultural context: the NAAHS cohort study

2019

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“… 36 Gender-stratified analyses show that impacts of depression and/or CMDA on disability pension were higher among men. 33 , 35 , 36 An increased risk of disability pension among women with anxiety was noted, but the impact was small in relation to the consequences of depression and CMDA, and gender interaction effects were non-significant. However, in a Finnish sample of depressed individuals, male gender was associated with lower disability pension rates at 18 months follow-up 32 while gender was non-significant at five years follow-up.…”

Section: Resultsmentioning

confidence: 96%

Inequalities in the economic consequences of depression and anxiety in Europe: a systematic scoping review

Linder

Gerdtham

Trygg

et al. 2019

European Journal of Public Health

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Background Depression and anxiety are associated with adverse outcomes in educational achievements and economic performances. Moreover, the prevalence of these disorders is unequally distributed among different population subgroups. Our objective is to investigate whether the economic consequences of depression and anxiety differ between population subgroups of different gender, socioeconomic status (SES), ethnicity and age, in Europe. Methods A systematic scoping literature review was performed to identify studies where exposure to depression or anxiety was identified at baseline and consequences in education, sickness absence, disability pension, unemployment and income/earnings were measured at follow-up. Results Seventeen articles were included in this review and most of these were conducted in the Nordic countries. The consequences of depression and anxiety were stratified by gender in most of the articles. However, only in a few studies, the findings were stratified by SES, age and ethnicity. The negative consequences of depression in educational performance, disability pension and income are larger for men compared to women. Moreover, low SES individuals have more depression- and anxiety-related absence from work than high SES individuals. Conclusion Our findings imply that the economic consequences of depression differ between population subgroups in Europe. This could have an impact on social stratification, shifting people who experience mental ill-health to lower SES groups or reinforcing an already disadvantaged position. More research is needed on unequal economic consequences of depression and anxiety in different population subgroups in Europe.

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“…Studies have reported that 17-22% of patients with depression are eventually granted a disability pension, [7][8][9][10] and the risk of obtaining a disability pension is 2-3 times higher in employees with severe depressive symptoms compared with the background population. 11,12 Years of work lost have, to our knowledge, not been estimated for individuals with depression, but one study showed that people who receive disability pension due to mood disorders lose around 15 years of work, assuming a scheduled retirement age of 67 years. 13 Studies have shown that young age at depression onset, disease severity, duration and number of previous depression episodes, psychiatric and somatic comorbidity, as well as low educational level contribute to risk of early workforce exit.…”

Section: Early Labor Force Exits In Patients With Treatment-resistantmentioning

confidence: 99%

Early labor force exits in patients with treatment-resistant depression: an assessment of work years lost in a Danish nationwide register-based cohort study

Madsen

Petersen

Plana‐Ripoll

et al. 2020

Therapeutic Advances in Psychopharmacology

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Background: Depression is one of the leading causes of premature workforce exit in many Western countries, but little is known about the extent to which treatment-resistance reduces number of work-years. We compared the risk of premature workforce exit among patients with treatment-resistant depression (TRD) relative to non-TRD patients and estimated work years lost (WYL) before scheduled retirement age. Methods: The study population, identified in the Danish National Prescription Registry, included all individuals born and living in Denmark who redeemed their first antidepressant (AD) prescription for depression at age 18–60 years between 2005 and 2012. TRD was defined as failure to respond to at least two different treatment trials. Premature workforce exit was measured using disability pension records. We used Cox regression to estimate the hazard ratio (HR) for premature workforce exit in TRD relative to non-TRD patients, adjusting for calendar year, psychiatric and somatic comorbidity, and educational level. Differences in WYL in patients with TRD and all depression patients were estimated through a competing risks model. Results: Out of the total sample of patients with depression ( N = 129,945), 7478 (5.75%) were classified as having TRD. During follow up, 17% of patients with TRD and 8% of non-TRD patients received disability pension, resulting in a greater than three-fold larger risk of premature workforce exit [adjusted HR (aHR) 3.23 95% confidence interval (CI) 3.05–3.43]. The TRD group lost on average six work-years (95% CI 5.64–6.47) more than the total sample due to early labor force exit. The association between TRD and age at premature workforce exit was inversely U-shaped; the hazard rate of premature workforce exit for patients with TRD compared with non-TRD patients was highest in the age groups 31–35, 36–40, and 41–45 years. Conclusion: Patients with TRD constitute a small group within depression patients, but contribute disproportionally to societal costs due to premature workforce exit at a young age.

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Predicting disability pension – depression as hazard: a 10 year population‐based cohort study in norway

Cited by 12 publications

References 18 publications

Not engaged in education, employment or training (NEET) in an Arctic sociocultural context: the NAAHS cohort study

Not engaged in education, employment or training (NEET) in an Arctic sociocultural context: the NAAHS cohort study

Inequalities in the economic consequences of depression and anxiety in Europe: a systematic scoping review

Early labor force exits in patients with treatment-resistant depression: an assessment of work years lost in a Danish nationwide register-based cohort study

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