BackgroundWork Ability Index (WAI) is a well-known and valid self-report tool that has been widely used in various studies to identify and avoid early retirement and work-related disability. Nevertheless, very few studies have been carried out to evaluate work ability in Iran. We aimed to investigate the WAI and the effect of work-related stress on it among Iranian workers.MethodsA cross-sectional, descriptive and analytic study was carried out among 449 workers from five working sectors in three big cities of Iran. Work ability and work-related stress were measured using the Persian version of WAI and the Persian version of Health and Safety Executive Stress Indicator Tool.ResultsMore than a third of the workers surveyed (34.70%) did not have an appropriate level of work ability (WAI < 37). There was a significant correlation between subscales of work-related stress and the mean score of WAI. Furthermore, the variables of body mass index, sleep quality, exercise activity, job tenure, and three subscales of work-related stress including demands, supervisor support, and role were significant predictors of WAI.ConclusionAccording to the results of this study, the interventional programs must be focused on improving supervisors support, eliminating ambiguity and conflicts in the role of workers in their job and organization, reducing job demands, improving sleep quality, and increasing exercise activity.

BackgroundNight shift work is associated with many problems such as sleep deprivation, sleepiness, decreased cognitive performance, increased human errors, and fatigue. This study set out to measure cognitive performance, melatonin rhythms, and sleep after different consecutive night shifts (7 vs. 4) among control room operators (CORs).MethodsThe participants included 60 CORs with a mean age of 30.2 years (standard deviation, 2.0) from a petrochemical complex located in Southern Iran. Cognitive performance was assessed using the n-back task and continuous performance test. To evaluate melatonin, saliva was collected and tested by enzyme-linked immunosorbent assay. To assess sleep and sleepiness, the Pittsburgh Sleep Quality Index and Karolinska Sleepiness Scale were used, respectively.ResultsIndividuals who worked 7 consecutive night shifts had a significantly better cognitive performance and sleep quality than those who worked 4 consecutive night shifts. However, salivary melatonin profile and sleepiness trend were not affected by shift type.ConclusionThe main duty of CORs working night shifts at the studied industry included managing safety-critical processes through complex displays; a responsibility that demands good cognitive performance and alertness. It is suggested that an appropriate number of consecutive night shifts in a rotating shift system should be planned with the ultimate aim of improving CROs performance/alertness and enhancing safety.

Sexual dysfunction has been demonstrated to be related to a poor quality of life. These dysfunctions are especially prevalent among men. This cross-sectional study aimed to investigate the psychometric properties of the Persian translation of the Sexual Quality of Life-Male (SQOL-M), translated and adapted to measure sexual quality of life among Iranian men. Forward-backward procedures were applied in translating the original SQOL-M into Persian, and then the psychometric properties of the Persian translation of the SQOL-M were studied. A total of 181 participants (23-60 years old) were included in the study. Validity was assessed by construct validity using confirmatory factor analysis, convergent validity, and content validity. The international index of erectile function (IIEF) and the work ability index were used to study the convergent validity. Reliability was evaluated through internal consistency and test-retest reliability analyses. The results from confirmatory factor analysis confirmed a one-factor solution for the Persian version of the SQOL-M. Content validity of the translated measure was endorsed by 10 specialists. Pearson correlations indicated that work ability index score, dimensions of the IIEF, and the IIEF total score were positively correlated with the Persian version of the SQOL-M ( p < .001). Reliability evaluation indicated a high internal consistency and test-retest reliability. The Cronbach's alpha coefficient and intraclass correlation coefficients were .96 and .95, respectively. Results indicated that the Persian version of the SQOL-M has good to excellent psychometric properties and can be used to assess the sexual quality of life among Iranian men.

Background: Pittsburgh sleep quality index (PSQI) is one of the most important instruments frequently used to assess sleep quality. This questionnaire is used to assess sleep styles and quality in adults through seven dimensions. Objectives: The study aims to investigate the reliability, validity and factor structure of the Persian version of PSQI. Materials and Methods:A Survey method with quantitative analytic approach was used in this research. A sample of 415 employees of Kerman hospitals participated in this study and filled the questionnaire. Forward-backward method was applied to translate the questionnaire from English to Persian. The following aspects of the Persian version of PSQI were evaluated: internal consistency (using Chronbach's alpha), concurrent validity (correlation with GHQ-28), and factor structure of the questionnaire. Results: Mean age of the participants was 35.18 years, and participants' average year of education was 15.3. The Chronbach's alpha coefficient was 0.55. According to the factor analysis, three factors were extracted accounting for 63.485% of the total variance. There was a significant correlation among different dimensions of the Persian version of PSQI. Concurrent validity analysis showed that PSQI and GHQ-28 were correlated significantly. Conclusions: The Persian version of PSQI exerted a satisfactory validity and reliability in our sample.

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Health-related quality of life (HRQOL) has not been investigated among Iranian industrial workers. The present paper aimed to study the influence of the socio-demographic, health and work-related factors on HRQOL among Iranian industrial workers. In this cross-sectional study, participants were 280 workers of two factories. The Persian version of World Health Organization Quality of Life-Brief (WHOQOL-BREF) was used to assess the HRQOL. A questionnaire was developed to assess the socio-demographic, health and work-related factors. Results showed that the means (SD) of physical health, psychological health, social relationships, and environment domains of HRQOL were 13.2 (2.7), 13.3 (2.6), 14.2 (3.5) and 12.6 (2.5), respectively. A multiple linear regression showed that types of job, exercise activity, working schedule, sleep quality, smoking, and conflict between work and social life were significantly associated with physical health domain; whereas, working schedule, marital status, working demand, sleep quality, BMI, and conflict between work and individual life were significantly associated with psychological health domain. Working schedule, working demand, sleep quality, conflict between work and individual life, and having children over two years were significantly associated with social relationship domain; however, working demand, working schedule, smoking, sleep quality, working hour, job satisfaction, marital sta-* Corresponding authors. S. M. Taghavi et al. 2251 tus and exercise activity were significantly associated with environment domain. Collectively, work-related factors including unhealthy working conditions, unsafe working environments, long working hours, irregular working schedules, and the lack of occupational training may negatively influence the HRQOL of workers. To improve workers' HRQOL, intervention programs should focus on improving work environment, working schedule, occupational training and restricting working hours.

Background Metabolic syndrome (MetS) is a major public health concern due to its high prevalence and association with heart disease and diabetes. Artificial neural networks (ANN) are emerging as a reliable means of modelling relationships towards understanding complex illness situations such as MetS. Using ANN, this research sought to clarify predictors of metabolic syndrome (MetS) in a working age population. Methods Four hundred sixty-eight employees of an oil refinery in Iran consented to providing anthropometric and biochemical measurements, and survey data pertaining to lifestyle, work-related stressors and sleep variables. National Cholesterol Education Programme Adult Treatment Panel ІІI criteria was used for determining MetS status. The Management Standards Indicator Tool and STOP-BANG questionnaire were used to measure work-related stress and obstructive sleep apnoea respectively. With 17 input variables, multilayer perceptron was used to develop ANNs in 16 rounds of learning. ANNs were compared to logistic regression models using the mean squared error criterion for validation. Results Sex, age, exercise habit, smoking, high risk of obstructive sleep apnoea, and work-related stressors, particularly Role, all significantly affected the odds of MetS, but shiftworking did not. Prediction accuracy for an ANN using two hidden layers and all available input variables was 89%, compared to 72% for the logistic regression model. Sensitivity was 82.5% for ANN compared to 67.5% for the logistic regression, while specificities were 92.2 and 74% respectively. Conclusions Our analyses indicate that ANN models which include psychosocial stressors and sleep variables as well as biomedical and clinical variables perform well in predicting MetS. The findings can be helpful in designing preventative strategies to reduce the cost of healthcare associated with MetS in the workplace.