Risk Factors for Heart Disease in Working Railwaymen.

Heart diseases are the most common non-communicable diseases worldwide. We examined the prevalence of risk factors for heart disease among a sub-population of working men. In total, 11,059 railway crew workers of the Russian Railways Company were included in the study. We also asked participants to answer several questions based on the WHO STEPwise approach to surveillance (STEPS) translated into Russian. Only 30% of drivers had normal body mass index (BMI), whereas 70% were overweight or obese. In 12% of subjects, total cholesterol was higher than 5 mmol/L. In 15% of participants, glucose level was higher than 5.5 mmol/L. 38% of drivers reported smoking. Physical inactivity was registered in 54% of persons. Only 29% ate according to the key principles of good diet quality. 24% of respondents had a family history of heart disease. MANOVA demonstrated that BMI was determined by age, profession, smoking, physical inactivity, and diet quality. As age increased, the number of people with normal cholesterol levels decreased. It was demonstrated that a correlation existed between glucose levels and BMI. In the total group, the correlation was 0.46 (p < .05). The correlation between those parameters increased due to age, from 0.33 in the <30 years of age group up to 0.52 in the >50 years of age group. This study demonstrated that there is a high prevalence of risk factors for heart disease in train drivers in the Russian Federation.

"Circadian misalignment and the gut microbiome. A bidirectional relationship triggering inflammation and metabolic disorders"- a literature review.

Over the last decade, emerging studies have related the gut microbiome and gut dysbiosis to sleep and sleep disorders. For example, intermittent hypoxia associated with obstructive sleep apnea was shown to reproducibly alter the gut microbiome. Circadian rhythm disorders (CRD) (eg, shift work disorders, delayed sleep phase syndrome, and advanced sleep phase syndrome) constitute another group of conditions that might be influenced by gut dysbiosis. Indeed, both central and peripheral clocks can affect and be affected by gut microbiota and their metabolites. In addition, the tight rhythmic regulation of almost all metabolic pathways involved in the anabolism and catabolism of carbohydrates, protein, and lipids in addition to detoxification processes that take place in specific cells could be ultimately linked to changes in the microbiota. Since there are no studies to date examining the impact of gut dysbiosis on delayed sleep phase and advanced sleep phase syndrome, and considering the ever-increasing number of people engaging in shift work, more accurate and informed delineation of the association between gut dysbiosis and shift work can provide guidance and opportunities for new avenues of treating circadian rhythm disorders and preventing the metabolic complications of shiftwork via restoration of gut dysbiosis. In this review, the potential bidirectional relationships between gut dysbiosis and circadian rhythm misalignment, their impact on different metabolic pathways, and the potential development of metabolic and systemic disorders, especially in shift work models are critically assessed.

The Influence of Masculine Norms and Occupational Factors on Mental Health: Evidence From the Baseline of the Australian Longitudinal Study on Male Health.

Men employed in male-dominated occupations are at elevated risk of work-related fatalities, injuries, and suicide. Prior research has focused on associations between psychosocial and physical exposures at work and health outcomes. However, masculine norms may also contribute to mental health. We used data from the baseline survey of the Australian Longitudinal Study on Male Health to examine whether: (a) men in male-dominated jobs report greater adherence to masculine norms; (b) being in a male-dominated occupation is associated with poorer mental health; and (c) being in a male-dominated occupation modifies the association between masculine norms and mental health. Masculine norms were measured using the Conformity to Masculine Norms Inventory (CMNI-22). Mental health was assessed using the SF-12. Results of regression analysis (adjusted for covariates) suggest a linear relationship between the extent to which an occupation is male-dominated and endorsement of values on the CMNI-22. Many CMNI-22 subscales were related to poorer mental health. However, the need for self-reliance was identified as the strongest predictor of poorer mental health. The mental health scale did not appear to be patterned by occupational gender composition and we did not find an interaction between the gender ratio of an occupation and the CNMI-22 scale. These findings highlight the need to address harmful aspects of masculinity as a potential cause of mental health problems. More longitudinal research is needed on the social domains in which gender and health are experienced, such as in the workplace.