Assessment of risk factors for suicidal behavior: results from the Tehran University of Medical Sciences Employees' Cohort study.

Introduction: Suicide is a major issue of concern for public health. It is estimated that suicide accounts for 700,000 deaths every year. A personal history of one or more suicide attempts is the most important determinant of suicide among the general population. This study aimed to assess the major risk factors associated with suicidal behaviors among Iranian employees in a medical setting. Methods: In this study, 3,913 employees of Tehran University of Medical Sciences who participated in the employees' cohort study conducted by the university were recruited. Suicidal behaviors (SBs) and their associated risk factors were evaluated using the World Mental Health Composite International Diagnostic Interview (CIDI) Version 3.0. Univariate and multivariate logistic regressions were performed to identify the determinants of SBs among the participants, and crude and adjusted odds ratios (ORs) with corresponding 95% confidence intervals (95% CIs) were calculated. Results: Overall, 49.6% of respondents (n = 1,939) reported that they were tired of life and thinking about death. The lifetime prevalence rate of suicidal ideation (SI) was 8.1% (n = 317), that of suicide planning (SP) was 7.3% (n = 287), and that of suicide attempts (SA) was 3.1% (n = 122). Being female (OR: 1.87, CI: 1.64-2.12), being divorced (OR: 3.13, CI: 1.88-5.22), having a low level of education (OR: 1.57, CI: 1.15-2.14), and working in clinical and medical services (OR: 1.25, CI: 1.09-1.43) were associated with being tired of life and thinking about death. These factors were also associated with SI, SP, and SA. Discussion: These findings highlight the need to prioritize mental health for suicide prevention, especially for high-risk groups, in workplace mental health promotion programs and policies.

Disparities in the prevalence of metabolic syndrome between Iranian industrial workers and university staff.

Background: Is there a difference in the prevalence of metabolic syndrome between employee service jobs and industrial jobs in Iran? In this study, we tried to answer this question. For this purpose, we compared the two populations of employees and workers. We compared the staff of the University of Medical Sciences as a service employees population (clinical and office work) to the industrial workers of a large automotive company (often with industrial occupations). Method: In this cross-sectional study conducted in Tehran in 2020, the prevalence of metabolic syndrome among 4,372 people employed by the university and 3,899 automotive industry employees was examined and compared. The prevalence of metabolic syndrome was assessed based on two criteria, National Cholesterol Education Program Adult Treatment Panel III (ATP III) and International Diabetes Federation (IDF). Results: The results showed that the prevalence of metabolic syndrome among university staff was higher than the automotive industrial workers. According to ATP III criteria, the former and latter showed the prevalence of metabolic syndrome of 13.1% among and 6.1%, respectively among. Also, based on IDF criteria, the prevalence of metabolic syndrome was 23.3% and 12.6% in two groups mentioned. Conclusion: Based on the findings of this study, the prevalence of metabolic syndrome in university staff was almost double that in industry workers. At first glance, the physical activity of most automotive, industrial workers seems to be the main reason for this difference; however, a prevalence of about twice implies further factors. According to the authors, the legal implementation of monitoring, promotion, and surveillance programs of occupational health, in industrial environments can be a factor accounting for a significant difference in the prevalence of metabolic syndrome between the two populations observed. The authors suggest implementing similar programs for Iranian public sector employees to enhance their health status.

Prevalence of uncorrected distance refractive errors and associated risk factors in employees of an academic centre.

BACKGROUND: Uncorrected refractive error (RE) may affect the work performance of adults in the workplace. The aim of current study was to determine the prevalence of corrected and uncorrected RE, and the determinants of uncorrected RE in adult employees of a university. METHODS: This was a cross-sectional study of Tehran University Medical Sciences' staff. Besides demographic and some specific questionnaires, ophthalmic examinations including the measurement of uncorrected visual acuity (UCVA), best spectacles corrected visual acuity (BCVA), and presenting visual acuity were performed for all participants. The need for spectacles was defined as UCVA worse than 6/12 in the better eye that could be corrected to better than 6/12 with spectacles based on subjective refraction. RESULTS: In total, 4460 individuals with mean age of 42.32 ± 8.80 were included in the study. The VA of the better eye was 0.01 ± 0.05 logMAR for BCVA, 0.13 ± 0.26 for UCVA, and 0.05 ± 0.12 for presenting VA. Prevalence of RE was 15.7%, including uncorrected RE of 5% and spectacles coverage (corrected RE) of 10.7%. The proportion of individuals with elementary education and poor-fair status of general health were 1.62 times higher in the uncorrected group. In the univariate analysis, type of occupation (office versus non-office workers), socioeconomic status, and insurance of employees were not related to uncorrected RE (all P > 0.4). Myopia was the only factor associated with uncorrected RE in logistic regression analysis (odds ratio = 2.73, 95%CI = 1.02-7.31, P = 0.04). CONCLUSION: The prevalence of uncorrected RE and spectacle coverage were 5% and 10.7%, respectively. Myopia was almost three times more likely to be associated among employees with uncorrected RE.

Can a Single General Self-Rated Health Question Mirror Social Determinant of Health?

Background: Self-rated health (SRH) indicator is widely used and recommended in health research as a standard indicator for measuring health in different populations. This paper reports SRH of employees at Tehran University of Medical Sciences (TUMS), Tehran, Iran; and its related factors. Methods: We used the TUMS Employee's Cohort Study (TEC) data, collected from September 2017 to August 2019. SRH of 2158 employees were assessed using a single question. Univariate and multivariate logistic regression were performed to determine factors associated with sub-optimal SRH. Results: Overall, 14.9% (n = 321) of respondents rated their health as sub-optimal. Differences were observed with subgroups. Women, lower socioeconomic status (SES), experiences of more economic fluctuation conditions and lower reading scores could predict sub-optimal SRH variations in crude and adjusted regression analyses. The age, social capital, work experience and employment status could predict sub-optimal SRH variations only in crude regression analyses (P<0.05). Conclusion: Differences in SRH report reflected differences in socioeconomic conditions. The biggest gap was observed between people of different SES (five times). Considering that SRH reflected socioeconomic characteristics of individuals, it may be considered as a quick, non-expensive, and simple way of identifying groups in need of addressing their social determinants of health.

Quality of life and sleep disorders in Tehran Employees Cohort (TEC); Association with secondhand smoking and wealth index.

PURPOSE: Second-hand smoke is recognized as a major indoor pollutant. Evidences indicated that Second-hand smoke exposure can influence on not only physical health, but also mental well-being. As the correlation of secondhand smoke exposure with sleep quality and quality of life has not yet been clarified sufficiently, the purpose of this study was to evaluate the association between Second-hand smoke exposure, with sleep quality and quality of life after adjusting for active smoking and other relevant confounders. METHODS: The participants of this study were 1790 staff in Tehran University of Medical Sciences with different jobs employed in various academic departments (clinical, research, services, educational and technical ones). They participated voluntarily in this research project and completed the informed consent form between 2018 and 2019. A translated questionnaire of Global Adult Tobacco Survey was used to gather information about smoke exposure. When to evaluate the quality of life, the WHOQOL-BREF tool was applied. All statistical analyses were executed using STATA V14 software. RESULTS: High rate of smoking and also exposure to second-hand smoke significantly increased sleep disorder and reduced the quality of life. In other words, smokers or those who are exposed to second-hand smoke suffer from sleep disturbances and had a poorer physical, psychological, and environmental quality of life. Additionally, the results of multivariate regression analysis demonstrated that the secondhand-smoke group had 1.38 times higher rate of sleep disorder in comparison with non-smokers, that was statistically significant. The women had 2.68 times higher odds of having sleep disorder compared to men. (95 % CI: 2.20 to 3.27). On the other hand, mean score of psychological domain of quality of life in secondhand-smoke group was lower with the size of difference as 0.66 than that in non-smokers, and the difference was statistically significant (p = 0.001). CONCLUSIONS: Both active smoking and exposure to second hand smoke have a negative impact on sleep quality and quality of life.

Body impedance analyzer and anthropometric indicators; predictors of metabolic syndrome.

Aim: Metabolic syndrome is one of the outcomes of a sedentary lifestyle in the modern world. In this study, we want to introduce the predictors of metabolic syndrome using anthropometric indices and Bio-Electrical Impedance Analysis (BIA) test values. Method: This cross-sectional study was performed on 2284 employees of Tehran University of Medical Sciences in different job categories. Metabolic syndrome was determined according to IDF criteria. Anthropometric dimensions, para-clinical tests, basic information were collected from the participants. Also, the body analysis of the participants was performed using a BIA method. Result: The prevalence of metabolic syndrome in this study was 23.2% based on IDF criteria, which was 21% and 26.6% in men and women, respectively. The most important factor among the components of IDF criteria was HDL deficiency. In this study, neck circumference, fat mass, visceral fat, muscle mass percentage and waist to height ratio were observed as predictors of metabolic syndrome. Conclusion: This study realized that there is association between fat mass, fat-free mass, visceral fat and muscle mass which all are some elements of body composition analysis and metabolic syndrome as a major health issue.

Prospective cohort study on the social determinants of health: Tehran University of Medical Sciences employees` cohort (TEC) study protocol.

BACKGROUND: In this study, the association between the social determinants of health (SDH) as well as other health risk factors and outcomes will be evaluated at different socioeconomic layers. METHODS/DESIGN: This is a prospective cohort study that was launched in January 2018 on Tehran University of Medical Sciences' employees. The initial enrolment phase will continue up to March 2021, or until a sample size of 5500 is reached. In addition to annual phone-calls, the participants will be followed thrice at 5-year intervals. Data are collected through blood and urine samples, complete physical examination, anthropometric evaluation, and the completion of questionnaires related to SDH, such as socioeconomic status and social capital, history of diseases, lifestyle (including, nutrition, physical activity, cigarette and hookah smoking), occupational exposures (including psychosocial factors at work and work-family conflicts), and different aspects of physical, mental and occupational health as health outcomes. The association between independent variables and health (objective or subjective) are examined using multiple models and by controlling the confounding effects. Moreover, the trend in lifestyle changes and its impact on health are evaluated. DISCUSSION: Our study will explore the key social determinants as well as other factors including socioeconomic status and social capital, history of diseases, lifestyle and occupational exposures that affect health. This will provide social and occupational health decision-makers and stakeholders with new and valuable evidence in an era in which we are witnessing huge changes in lifestyle.