It is unknown whether the relation between job strain and depression reflects causal characteristics of the working environment or reporting bias. The authors investigated reporting bias by analyzing individual versus work-unit measures of job strain and the risk of depressive symptoms (n = 287) and a diagnosis of depression (n = 97) among 4,291 employees within 378 work units in Aarhus, Denmark, 2007. All participants reported psychological demands and decision latitude, and the authors estimated mean values for each work unit. The odds ratios predicting depressive symptoms or a diagnosis of depression for the highest versus the lowest levels of individual, self-reported high psychological demands and low decision latitude were significantly increased above 2.5. When participants were classified by the work-unit mean levels, these associations were substantially smaller. For depressive symptoms, the odds ratios were 1.49 (95% confidence interval (CI): 0.88, 2.53) and 1.08 (95% CI: 0.84, 1.39), respectively, for psychological demands and decision latitude. For a diagnosis of depression, the odds ratios were 1.33 (95% CI: 0.57, 3.09) and 1.02 (95% CI: 0.68, 1.56), respectively, for psychological demands and decision latitude. These findings indicate that reporting bias inflates associations between job strain and the occurrence of depression, if studies rely on individual self-reports.

This study aimed to examine the course of workplace bullying and health correlates among Danish employees across a four-year period. In total, 7502 public service and private sector employees participated in a 3-wave study from 2006 through 2011. Workplace bullying over the past 6-12 months and data on health characteristics were obtained by self-reports. We identified major depression using Schedules for Clinical Assessment in Neuropsychiatry interviews and the Major Depression Inventory. We performed cross-sectional and longitudinal analyses of outcomes according to self-labelled bullying at baseline using logistic regression. Reports of bullying were persistent across four years in 22.2% (57/257) of employees who initially reported bullying. Baseline associations between self-labelled bullying and sick-listing, poor self-rated health, poor sleep, and depressive symptoms were significant with adjusted odds ratios (OR) ranging from 1.8 [95% confidence interval (95% CI) 1.5-2.4] for poor sleep quality among those bullied "now and then" to 6.9 (95% CI 3.9-12.3) for depression among those reporting being bullied on a daily to monthly basis. In longitudinal analyses adjusting for bullying during follow-up, all health correlates except poor sleep quality persisted up to four years. Self-reported health correlates of workplace bullying including sick-listing, poor self-rated health, depressive symptoms, and a diagnosis of depression tend to persist for several years regardless of whether bullying is discontinued or not. Independent measures of bullying and outcomes are needed to learn whether these findings reflect long lasting health consequences of workplace bullying or whether self-labelled workplace bullying and health complaints are correlated because of common underlying factors.

Objectives Male breast cancer is a rare disease of largely unknown aetiology. In addition to genetic and hormone-related risk factors, a large number of environmental chemicals are suspected of playing a role in breast cancer. The identification of occupations or occupational exposures associated with an increased incidence of breast cancer in men may help to identify mammary carcinogens in the environment. Methods Occupational risk factors for male breast cancer were investigated in a multi-centre case–control study conducted in eight European countries which included 104 cases and 1901 controls. Lifetime work history was obtained during in-person interviews. Occupational exposures to endocrine disrupting chemicals (alkylphenolic compounds, phthalates, polychlorinated biphenyls and dioxins) were assessed on a case-by-case basis using expert judgement. Results Male breast cancer incidence was particularly increased in motor vehicle mechanics (OR 2.1, 95% CI 1.0 to 4.4) with a dose–effect relationship with duration of employment. It was also increased in paper makers and painters, forestry and logging workers, health and social workers, and furniture manufacture workers. The OR for exposure to alkylphenolic compounds above the median was 3.8 (95% CI 1.5 to 9.5). This association persisted after adjustment for occupational exposures to other environmental oestrogens. Conclusion These findings suggest that some environmental chemicals are possible mammary carcinogens. Petrol, organic petroleum solvents or polycyclic aromatic hydrocarbons are suspect because of the consistent elevated risk of male breast cancer observed in motor vehicle mechanics. Endocrine disruptors such as alkylphenolic compounds may play a role in breast cancer.

Sex hormones closely regulate development of the male genital organs during fetal life. The hypothesis that xenobiotics may disrupt endogenous hormonal signalling has received considerable scientific attention, but human evidence is scarce.

Aim: The authors sought to describe risk indicators of long-term sick leave during pregnancy among hospital employees. Methods: A register-based study was undertaken of 4,852 female hospital employees aged 20 - 45 years from the second largest hospital in Denmark during 1995 - 99 based on job titles, working time, sick leave, and births combined with a survey among a total of 773 women who had been pregnant during their employment (response rate 85%). Results: Altogether 236 (31%) were on sick leave for at least 10% of their scheduled work time during their latest pregnancy and 169 (22%) had been absent at least 20% of the time. The pregnant women had an average sickness absence of 6.1 days per month, non-pregnant women 0.95 days per month. Sick leave was more frequent in late than in early gestation. Women employed as nursing aides or hospital orderlies, launderers, and nurses had more sick leave days than other hospital employees. Part-time work, previous sickness absence not related to pregnancy, and previous chronic back pain were risk factors for long-term sick leave as were much walking or standing, long working days, high work level, little practical support from supervisors and colleagues, low job control, much lifting and night or shift work. Sick leave was unrelated to family size, support from the family and number of working years. Conclusion: Long-term sick leave during pregnancy was frequent and to some extent predictable. Efforts should be made to organize work for pregnant women in a manner that optimizes their health and well-being.