Effects of Externally Rated Job Demand and Control on Depression Diagnosis Claims in an Industrial Cohort

This study examined whether externally rated job demand and control were associated with depression diagnosis claims in a heavy industrial cohort. The retrospective cohort sample consisted of 7,566 hourly workers aged 18–64 years who were actively employed at 11 US plants between January 1, 1996, and December 31, 2003, and free of depression diagnosis claims during an initial 2-year run-in period. Logistic regression analysis was used to model the effect of tertiles of demand and control exposure on depression diagnosis claims. Demand had a significant positive association with depression diagnosis claims in bivariate models and models adjusted for demographic (age, gender, race, education, job grade, tenure) and lifestyle (smoking status, body mass index, cholesterol level) variables (high demand odds ratio = 1.39, 95% confidence interval: 1.04, 1.86). Control was associated with greater risk of depression diagnosis at moderate levels in unadjusted models only (odds ratio = 1.47, 95% confidence interval: 1.12, 1.93), while low control, contrary to expectation, was not associated with depression. The effects of the externally rated demand exposure were lost with adjustment for location. This may reflect differences in measurement or classification of exposure, differences in depression diagnosis by location, or other location-specific factors

Acute viral myocarditis

Acute myocarditis is one of the most challenging diagnosis in cardiology. At present, no diagnostic gold standard is generally accepted, due to the insensitivity of traditional diagnostic tests. This leads to the need for new diagnostic approaches, which resulted in the emergence of new molecular tests and a more detailed immunohistochemical analysis of endomyocardial biopsies. Recent findings using these new diagnostic tests resulted in increased interest in inflammatory cardiomyopathies and a better understanding of its pathophysiology, the recognition in overlap of virus-mediated damage, inflammation, and autoimmune dysregulation. Novel results also pointed towards a broader spectrum of viral genomes responsible for acute myocarditis, indicating a shift of enterovirus and adenovirus to parvovirus B19 and human herpes virus 6. The present review proposes a general diagnostic approach, focuses on the viral aetiology and associated autoimmune processes, and reviews treatment options for patients with acute viral myocarditis

Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

We conduct a genome-wide association study (GWAS) of educational attainment (EA) in a sample of ~3 million individuals and identify 3,952 approximately uncorrelated genome-wide-significant single-nucleotide polymorphisms (SNPs). A genome-wide polygenic predictor, or polygenic index (PGI), explains 12-16% of EA variance and contributes to risk prediction for ten diseases. Direct effects (i.e., controlling for parental PGIs) explain roughly half the PGI's magnitude of association with EA and other phenotypes. The correlation between mate-pair PGIs is far too large to be consistent with phenotypic assortment alone, implying additional assortment on PGI-associated factors. In an additional GWAS of dominance deviations from the additive model, we identify no genome-wide-significant SNPs, and a separate X-chromosome additive GWAS identifies 57

Sleep disturbances and fatigue:independent predictors of sickness absence? A prospective study among 6538 employees

<p>Background: Although sleep disturbances and fatigue are common conditions, frequently shown to be associated with sickness absence, only a few studies have prospectively investigated their independent effects on sickness absence, while adjusting for depressive symptoms. This study aims (i) to examine whether sleep disturbances and fatigue are independently related to the onset of register-based sickness absence of epsilon 3 weeks during a 1-year follow-up in a representative sample of the Danish workforce and (ii) to determine if possible associations are gender-specific. Methods: Data were used from the Danish Work Environment Cohort Study and linked with sickness absence data from the Danish National Register of Social Transfer Payments. A total of 6538 employees, 3178 men and 3360 women, were included in the analyses. Results: Sleep disturbances predicted risk of sickness absence after adjustment for covariates, but lost statistical significance after further adjustment for depressive symptoms. Fatigue among men predicted risk of sickness absence [Hazard ratio (HR) = 1.25, 95% confidence intervals (CI) 1.00-1.56] after adjustment for covariates, depressive symptoms and sleep disturbances. Conclusion: Sleep disturbances in both genders and fatigue in women did not predict sickness absence after depressive symptoms were taken into account. In men, fatigue was significantly related to future sickness absence, also when adjusted for depressive symptoms and sleep disturbances. Further prospective studies are needed to explore the pathways from fatigue to sickness absence in more detail. The study suggests that early detection and treatment of fatigue in men should be high on the stakeholder's agenda.</p>