Depression and mortality have been studied separately in patients with coronary heart disease (CHD) and in populations healthy at study inception. This does not allow comparisons across risk-factor groups based on the cross-classification of depression and CHD status. We prospectively examined the effects of depressive symptoms, assessed in 2002-2004, on all-cause and cardiovascular -mortality in a large sample of 5936 middle-aged participants, with and without established CHD, followed over 5.6 years

We created 4-risk-factor groups based on the cross classification of depressive symptoms and CHD status. The age-and-sex-adjusted hazard ratios for all causes death were 1.67-fold (p< 0.05) higher for participants with only CHD, 2.10-fold (p< 0.001) higher for those with only depressive symptoms and 4.99-fold (p< 0.001) higher for those with both CHD and depressive symptoms when compared to participants without either condition. The two latter risk-factor groups remained at increased risk after adjustments for relevant confounders. Further comparisons indicated that the risks of all-cause death were also higher, but to a lesser extent, for participants with both depressive-symptoms and CHD when compared to those with only one of these conditions. These associations were also observed for cardiovascular mortality

This study provides evidence that depressive symptoms are associated with an increased risk of all-cause and CVD death and that this risk is particularly marked in depressive participants with co-morbid CHD. Several clinical guidelines have recommended screening, referral, and treatment of depression in primary and cardiovascular care units. These findings suggest that these recommendations need further consideration.

Childhood adversities are associated with depression as well as increased somatic morbidity.

The Health and Social Support (HeSSup) is a prospective survey of the Finnish working-aged population. Altogether 83 % of the participants of the 1998 survey responded to the second survey five years later (n=19,629). The BDI was used to measure depressiveness and physical illnesses were inquired by asking about physician diagnosed illnesses. Other variables include history of depression, social support, alcohol consumption, negative affectivity, adversities in childhood family, and a checklist of 19 life events.

Among women with childhood adversities the risk of depressiveness was significantly increased after a recent life event (1.81-fold). After adjusting for socio-demographic factors, smoking, alcohol consumption, social support, negative affectivity, baseline cardiovascular morbidity and person dependent life events the risk was still significant (1.48-fold). Among men the respective associations were a bit stronger as risk of depressiveness was 2.11-fold and after adjustments 1.84-fold. Recent life events did not increase risk of cardiovascular disease after recent life events among women and men after adjustments were made. Interestingly, in an analysis by type of recent events violence greatly increased risk of depressiveness and cardiovascular disease among men even after adjustments were made (OR=26.2, 95%CI: 6.99-96.1 and 23.6, 4.61-120.6, respectively) if one had childhood adversities.

Especially experienced violence was associated both to depressiveness and onset of cardiovascular disease. Violence cannot be considered to be fully independent of the person, but according to the adjustments made, impulsiveness probably does not explain the findings.

Risk of retirement from work before statutory retirement age among employees with personality disorders is unknown.

We used diagnoses of awarded medical rehabilitations and hospitalisations to select two clinical cohorts from a population of 151,618 employees: participants in rehabilitation (total N = 1942, 233 personality disorder, 419 anxiety disorder and 1290 depression cases) and hospitalised patients (N = 1333, 354, 126 and 853, respectively). Early retirement from work was tracked through national registers during a period of 5 years. Cox proportional hazard models were used to examine the association of diagnostic groups with risk of early retirement.

In models adjusted for age, sex and socioeconomic position, the relative risk of early retirement for patients with personality disorders was 3.5-fold (95% CI 2.1 to 5.8) in the rehabilitation cohort and 2.3-fold (95% CI 1.6 to 3.5) in the hospital cohort compared with anxiety disorders. The corresponding hazard ratios of early retirement for personality disorders compared with depressive disorders were 1.1 (95% CI 0.8–1.5) and 1.7 (95% CI 1.4–2.1), respectively.

Personality disorders increase the risk of early retirement at least to an equal extent as depression and more than twice that of anxiety disorders.

Adverse psychosocial working environments characterized by job strain (the combination of high demands and low control at work) are associated with an increased risk of depressive symptoms among employees, but evidence on clinically diagnosed depression is scarce. We examined job strain as a risk factor for clinical depression.

We identified published cohort studies from a systematic literature search in PubMed and PsycNET and obtained 14 cohort studies with unpublished individual-level data from the Individual-Participant-Data Meta-analysis in Working Populations (IPD-Work) Consortium. Summary estimates of the association were obtained using random-effects models. Individual-level data analyses were based on a pre-published study protocol.

We included six published studies with a total of 27 461 individuals and 914 incident cases of clinical depression. From unpublished datasets we included 120 221 individuals and 982 first episodes of hospital-treated clinical depression. Job strain was associated with an increased risk of clinical depression in both published [relative risk (RR) = 1.77, 95% confidence interval (CI) 1.47–2.13] and unpublished datasets (RR = 1.27, 95% CI 1.04–1.55). Further individual participant analyses showed a similar association across sociodemographic subgroups and after excluding individuals with baseline somatic disease. The association was unchanged when excluding individuals with baseline depressive symptoms (RR = 1.25, 95% CI 0.94–1.65), but attenuated on adjustment for a continuous depressive symptoms score (RR = 1.03, 95% CI 0.81–1.32).

Job strain may precipitate clinical depression among employees. Future intervention studies should test whether job strain is a modifiable risk factor for depression.

Social workers report high levels of stress and have an increased risk for hospitalisation with mental diagnoses. However, it is not known whether the risk of work disability with mental diagnoses is higher among social workers compared with other human service professionals. We analysed trends in work disability (sickness absence and disability pension) with mental diagnoses and return to work (RTW) in 2005–2012 among social workers in Finland and Sweden, comparing with such trends in preschool teachers, special education teachers and psychologists.

Records of work disability (>14 days) with mental diagnoses (ICD-10 codes F00–F99) from nationwide health registers were linked to two prospective cohort projects: the Finnish Public Sector study, years 2005–2011 and the Insurance Medicine All Sweden database, years 2005–2012. The Finnish sample comprised 4849 employees and the Swedish 119 219 employees covering four occupations: social workers (Finland 1155/Sweden 23 704), preschool teachers (2419/74 785), special education teachers (832/14 004) and psychologists (443/6726). The reference occupations were comparable regarding educational level. Risk of work disability was analysed with negative binomial regression and RTW with Cox proportional hazards.

Social workers in Finland and Sweden had a higher risk of work disability with mental diagnoses compared with preschool teachers and special education teachers (rate ratios (RR) 1.43–1.91), after adjustment for age and sex. In Sweden, but not in Finland, social workers also had higher work disability risk than psychologists (RR 1.52; 95% confidence interval 1.28–1.81). In Sweden, in the final model special education teachers had a 9% higher probability RTW than social workers. In Sweden, in the final model the risks for work disability with depression diagnoses and stress-related disorder diagnoses were similar to the risk with all mental diagnoses (RR 1.40–1.77), and the probability of RTW was 6% higher in preschool teachers after work disability with depression diagnoses and 9% higher in special education teachers after work disability with stress-related disorder diagnoses compared with social workers.

Social workers appear to be at a greater risk of work disability with mental diagnoses compared with other human service professionals in Finland and Sweden. It remains to be studied whether the higher risk is due to selection of vulnerable employees to social work or the effect of work-related stress in social work. Further studies should focus on these mechanisms and the risk of work disability with mental diagnoses among human service professionals.

Adverse effects of antidepressants are most common at the beginning of the treatment, but possible also later. We examined the association between antidepressant use and work-related injuries taking into account the duration of antidepressant use.

Antidepressant use and work-related injuries between 2000 and 2011 were measured among 66 238 employees (mean age 43.8 years, 80% female) using linkage to national records (the Finnish Public Sector study). We analysed data using time-dependent modelling with individuals as their own controls (self-controlled case-series design).

In 2238 individuals who had used antidepressants and had a work-related injury during a mean follow-up of 7.8 years, no increase in the risk of injury was observed in the beginning of antidepressant treatment. However, an increased injury risk was seen after 3 months of treatment (rate ratio, compared with no recent antidepressant use, 1.27, 95% confidence interval 1.10–1.48). This was also the case among those who had used only selective serotonin reuptake inhibitors (n = 714; rate ratio 1.41, 95% confidence interval 1.08–1.83).

Antidepressant use was not associated with an increased risk of work-related injury at the beginning of treatment. Post-hoc analyses of antidepressant trials are needed to determine whether long-term use of antidepressants increases the risk of work-related injury.

Although long working hours are common in working populations, little is known about the effect of long working hours on mental health.

We examined the association between long working hours and the onset of depressive and anxiety symptoms in middle-aged employees. Participants were 2960 full-time employees aged 44 to 66 years (2248 men, 712 women) from the prospective Whitehall II cohort study of British civil servants. Working hours, anxiety and depressive symptoms, and covariates were measured at baseline (1997–1999) followed by two subsequent measurements of depressive and anxiety symptoms (2001 and 2002–2004).

In a prospective analysis of participants with no depressive (n=2549) or anxiety symptoms (n=2618) at baseline, Cox proportional hazard analysis adjusted for baseline covariates showed a 1.66-fold [95% confidence interval (CI) 1.06–2.61] risk of depressive symptoms and a 1.74-fold (95% CI 1.15–2.61) risk of anxiety symptoms among employees working more than 55 h/week compared with employees working 35–40 h/week. Sex-stratified analysis showed an excess risk of depression and anxiety associated with long working hours among women [hazard ratios (HRs) 2.67 (95% CI 1.07–6.68) and 2.84 (95% CI 1.27–6.34) respectively] but not men [1.30 (0.77–2.19) and 1.43 (0.89–2.30)].

Working long hours is a risk factor for the development of depressive and anxiety symptoms in women.