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The impact of depressive symptoms on exit from paid employment in Europe: a longitudinal study with 4 years follow-up.

ABSTRACT: Background:Mental health problems are a risk factor for loss of paid employment. This study investigates (i) the relation between depressive symptoms and different involuntary pathways of labour force exit and (ii) explores gender and geographical differences in this relation. Methods:The study population consisted of 5263 individuals in paid employment aged between 50 years and the country-specific retirement age from 11 European countries participating in the longitudinal Survey of Health, Ageing and Retirement in Europe (SHARE). Self-reported depressive symptoms at baseline were assessed using the EURO-D. Employment status was derived from interviews after 2 and 4 years. Cox proportional hazards regression analyses were used to investigate the association between depressive symptoms and labour force exit via disability benefit and unemployment. Population attributable fractions (PAFs) were calculated to estimate the contribution of depressive symptoms to these pathways of labour force exit. Results:Both men and women with a EURO-D score ?4 had a >2-fold increased risk of a disability benefit (HR: 2.46, 95%CI 1.68-3.60) after adjustment for demographics and work-related characteristics. Among men depressive symptoms elevated the risk of becoming unemployed at follow-up (HR 1.55; 95%CI: 0.94-2.57). The PAF was 0.18 for disability benefit and 0.04 for unemployment, and varied across European regions. Conclusions:Individuals with depressive symptoms are at increased risk of losing paid employment, which in turn may aggravate their symptoms. Targeting depressive symptoms with public health and occupational policies should be considered to reduce the burden of mental diseases in Europe.

SUBMITTER: Porru F

PROVIDER: S-EPMC6345148 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

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The impact of depressive symptoms on exit from paid employment in Europe: a longitudinal study with 4 years follow-up.

Porru Fabio F Burdorf Alex A Robroek Suzan J W SJW

European journal of public health 20190201 1

<h4>Background</h4>Mental health problems are a risk factor for loss of paid employment. This study investigates (i) the relation between depressive symptoms and different involuntary pathways of labour force exit and (ii) explores gender and geographical differences in this relation.<h4>Methods</h4>The study population consisted of 5263 individuals in paid employment aged between 50 years and the country-specific retirement age from 11 European countries participating in the longitudinal Survey ...[more]

PMID: 30052918

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Project description:BackgroundIndividuals with lower socioeconomic status are at increased risk of involuntary exit from paid employment. To give sound advice for primary prevention in the workforce, insight is needed into the role of mediating factors between socioeconomic status and labour force participation. Therefore, it is aimed to investigate the influence of health status, lifestyle-related factors and work characteristics on educational differences in exit from paid employment.Methods14,708 Dutch employees participated in a ten-year follow-up study during 1999-2008. At baseline, education, self-perceived health, lifestyle (smoking, alcohol, sports, BMI) and psychosocial (demands, control, rewards) and physical work characteristics were measured by questionnaire. Employment status was ascertained monthly based on tax records. The relation between education, health, lifestyle, work-characteristics and exit from paid employment through disability benefits, unemployment, early retirement and economic inactivity was investigated by competing risks regression analyses. The mediating effects of these factors on educational differences in exit from paid employment were tested using a stepwise approach.ResultsLower educated workers were more likely to exit paid employment through disability benefits (SHR:1.84), unemployment (SHR:1.74), and economic inactivity (SHR:1.53) but not due to early retirement (SHR:0.92). Poor or moderate health, an unhealthy lifestyle, and unfavourable work characteristics were associated with disability benefits and unemployment, and an unhealthy lifestyle with economic inactivity. Educational differences in disability benefits were explained for 40% by health, 31% by lifestyle, and 12% by work characteristics. For economic inactivity and unemployment, up to 14% and 21% of the educational differences could be explained, particularly by lifestyle-related factors.ConclusionsThere are educational differences in exit from paid employment, which are partly mediated by health, lifestyle and work characteristics, particularly for disability benefits. Health promotion and improving working conditions seem important measures to maintain a productive workforce, particularly among workers with a low education.

Project description:BackgroundTraffic noise affects a large number of people, particularly in urbanized areas. Noise causes stress and annoyance, but less is known about the relationship between noise and depression.ObjectiveWe investigated the association of residential road traffic noise with depressive symptoms using 5-year follow-up data from a German population-based study.MethodsWe analyzed data from 3,300 participants in the Heinz Nixdorf Recall study who were between 45 and 75 years old and were without depressive symptoms at baseline (2000-2003). Depressive symptoms were defined based on the Center for Epidemiologic Studies Depression scale (CES-D) 15-item questionnaire (total score ? 17) and antidepressant medication intake. Road traffic noise was modeled according to European Parliament/Council Directive 2002/49/EC. High noise exposure was defined as annual mean 24-hr noise levels > 55 A-weighted decibels [dB(A)]. Poisson regression with robust variance was used to estimate relative risks (RRs) a) adjusting for the potential confounders age, sex, socioeconomic status (SES), neighborhood-level SES, and traffic proximity; b) additionally adjusting for body mass index and smoking; and c) additionally adjusting for the potential confounders/intermediates comorbidities and insomnia.ResultsOverall, 35.7% of the participants were exposed to high residential road traffic noise levels. At follow-up (mean = 5.1 years after baseline), 302 participants were classified as having high depressive symptoms, corresponding to an adjusted RR of 1.29 (95% CI: 1.03, 1.62; Model 1) for exposure to > 55 versus ? 55 dB(A). Adjustment for potential confounders/intermediates did not substantially alter the results. Associations were stronger among those who reported insomnia at baseline (RR = 1.62; 95% CI: 1.10, 2.59 vs. RR = 1.21; 95% CI: 0.94, 1.57) and appeared to be limited to those with ? 13 years of education (RR = 1.43; 95% CI: 1.10, 1.85 vs. 0.92; 95% CI: 0.56, 1.53 for > 13 years).ConclusionOur results suggest that exposure to residential road traffic noise increases the risk of depressive symptoms.CitationOrban E, McDonald K, Sutcliffe R, Hoffmann B, Fuks KB, Dragano N, Viehmann A, Erbel R, Jöckel KH, Pundt N, Moebus S. 2016. Residential road traffic noise and high depressive symptoms after five years of follow-up: results from the Heinz Nixdorf Recall Study. Environ Health Perspect 124:578-585;?http://dx.doi.org/10.1289/ehp.1409400.

Dataset Information

The impact of depressive symptoms on exit from paid employment in Europe: a longitudinal study with 4 years follow-up.

Publications

The impact of depressive symptoms on exit from paid employment in Europe: a longitudinal study with 4 years follow-up.

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