In this comparative study focusing on the population aged 50 and over in three European countries, we investigate the association between household debt and depressive symptoms, and possible country differences in this association, using data from Waves 1, 2, 4, 5 and 6 of the Surveys of Health, Ageing and Retirement in Europe (SHARE) for Belgium, France and Germany. Multi-level regression models with random intercepts for individuals were used to analyse the association between household debt status and number of depressive symptoms (EURO-D score). Country differences in the household debt–depression nexus were tested using country interaction models. After controlling for other measures of socio-economic position and physical health, low or substantial financial debt was associated with a higher number of depressive symptoms in all countries. Housing debt was strongly linked to depressive symptoms for women while the association was weaker for men. The only country difference was that for both sexes substantial financial debt (more than €5,000) was strongly associated with depressive symptoms in Belgium and Germany, but the association was weak or non-significant in France. Associations between financial debt and depression were also evident in analyses of within-individual changes in depressive symptoms for a longitudinal sub-group, and in analyses using a dichotomised, rather than a continuous, measure of depression. The findings indicate that measures of household indebtedness should be taken into consideration in investigations of social inequalities in depression and suggest a need for mental health services targeted at indebted older people.

Objective To identify social and health-related predictors of the number of days lost due to sickness absence (SA) and disability pension (DP) among initially 55-year-old public-sector workers. Methods The data from the Finnish Helsinki Health Study included participants aged 55 years at the baseline (in 2000–2002, N = 1630, 81% women), and were enriched with register-based information on SA and DP. The cumulative number of calendar days lost due to SA ≥ 1 day or DP between ages 55 and 65 was calculated. Negative binomial regression model was used to identify the predictors of days lost. Results The average calendar days lost was 316 days (about 220 working days) during a 10-year follow-up, and 44% were due to SA and 56% due to DP. Smoking [incidence rate ratio (IRR) = 1.19, 95% CI 1.01–1.40 for past and IRR = 1.30, CI 1.07–1.58 for current], binge drinking (IRR = 1.22, CI 1.02–1.46), lifting or pulling/pushing heavy loads (IRR = 1.35, CI 1.10–1.65), awkward working positions (IRR = 1.24, CI 1.01–1.53), long-standing illness limiting work or daily activities (IRR = 2.32, CI 1.93–2.79), common mental disorder (IRR = 1.52, CI 1.30–1.79), and multisite pain (IRR = 1.50, CI 1.23–1.84) increased the number of days lost, while high level of education (IRR = 0.66, CI 0.52–0.82) and moderate level of leisure-time physical activity (IRR = 0.80, CI 0.67–0.94) reduced the number of days lost. Conclusions Modifiable lifestyle risk factors, workload factors, common mental disorder, and multisite pain substantially increase the number of days lost. However, the findings of this study could be generalized to female workers in the public sector. Future research should also consider shorter SA spells in estimating working years lost and working life expectancy.

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BackgroundThe two-way relationship between obesity and socioeconomic disadvantage is well established but previous studies on social and economic consequences of obesity have primarily focused on relatively young study populations. We examined whether obesity is associated with socioeconomic disadvantage through the 10–12-year follow-up, and how obesity-related socioeconomic inequalities develop during midlife among women.MethodsBaseline data were derived from the female population of the Helsinki Health Study cohort, comprising 40–60 –year-old employees of the City of Helsinki, Finland in 2000–2002 (n = 6913, response rate 69%). The follow-up surveys were carried out in 2007 (n = 5810) and 2012 (n = 5400). Socioeconomic disadvantage was measured by five dichotomous measures. Repeated logistic regression analyses utilising generalized estimating equations (GEE) were used to test the association between baseline self-reported obesity and the likelihood of socioeconomic disadvantage through all phases. The effect of time on the development of inequalities was examined by time interaction terms in random effect logistic regression models.ResultsAfter adjustment for educational level, baseline obesity was associated with repeated poverty (OR = 1.23; 95% CI; 1.05–1.44), frequent economic difficulties (OR = 1.74; 95% CI; 1.52–1.99), low household net income (OR = 1.23; 95% CI; 1.07–1.41), low household wealth (OR = 1.90; 95% CI; 1.59–2.26) and low personal income (OR = 1.22; 95% CI; 1.03–1.44). The differences in poverty rate and low personal income between the participants with obesity and participants with normal weight widened during the follow-up. Living without a partner and early exit from paid employment explained the widening of inequalities.ConclusionsWeight status inequalities in socioeconomic disadvantage persisted or widened during the late adulthood.Electronic supplementary materialThe online version of this article (10.1186/s12889-017-4865-8) contains supplementary material, which is available to authorized users.

OBJECTIVES We examined trajectories of work disability, indicated by sickness absence and disability retirement, among midlife public sector employees with and without common mental disorders (CMD) at baseline. We also examined adverse childhood events, occupational class, limiting long-standing illness, and health behaviour as determinants of the trajectories. METHODS A sample from the Helsinki Health Study was extracted comprising 2350 employees. Baseline characteristics were obtained from mail surveys conducted in 2000-2 and 2007. CMD were measured by the General Health Questionnaire. Participants were followed between the ages of 50-59. Work disability trajectories were modelled by the annual number of work disability months in group-based trajectory analyses. Multinomial regression was used to predict trajectory group memberships. RESULTS Three trajectories were identified: no work disability (consisting 59% of the all employees), stable/low (31%) and high/increasing disability (10%). Employees with CMD were more likely to belong to the stable/low (odds ratio 1.73 [95% confidence interval 1.37-2.18]), and the high/increasing (2.55 [1.81-3.59]) trajectories. Stratified models showed that the determinants of the trajectories were largely similar for those with CMD compared to those without CMD except that obesity was a somewhat stronger predictor of the high/increasing trajectory among employees with CMD. LIMITATIONS The focus on midlife public sector employees limits the generalisability to other employment sectors and younger employees. CONCLUSIONS CMD were strongly associated with a trajectory leading to early exit from employment and a stable/low work disability trajectory. These findings have implications for interventions promoting work ability of employees with mental ill-health.