Prevalence of job burnout in Iranian nurses: A systematic review and meta-analysis.

BACKGROUND: Nurses experience many job tensions, which lead to job burnout. The consequences of nurses' job burnout include absenteeism, reduced quality of patient care, interpersonal conflicts with colleagues, physical and mental problems, reluctance to provide care with patients, and quitting the job. OBJECTIVE: The present study aimed to investigate the prevalence of job burnout among nurses in Iran using a meta-analysis method. METHOD: The study was conducted through a meta-analysis method based on the PRISMA checklist. An unlimited search was conducted until 2020 to access the Persian and English papers in national databases, including Medlib, SID, Iranmedex, and Magiran, and databases including Cochrane, Science-Direct, PubMed, Scopus, and Web of Science. The keywords were "job burnout, nurse, and Iran." The data were searched and extracted by two researchers independently. All analyses were performed using version 2.0 of the Comprehensive Meta-Analysis (CMA) software. RESULTS: The prevalence of job burnout was investigated in 14 papers with a sample size of 2271 individuals with an average age of 31.44 years old, and a confidence interval of 55% (44-66%). Fars province, with 89.2%, had the highest, and Zanjan province, with 25.9%, experienced the lowest prevalence of job burnout. The overall prevalence of job burnout was 44% in males and 66% in females so that the highest prevalence was in women. CONCLUSION: The prevalence of job burnout in nurses was high in some areas of Iran. A special attention by managers is needed in this field because of the several roles played by the nurses in the healthcare system and the improvement of public health. Implementation of plans to reduce the job burnout and to improve the mental health of nurses by reducing work hours, giving more opportunities to them to express their opinion(s) in amount of salary and benefits, and creating better working conditions are recommended.

Relationship between Quality of Life and Body Image Perception in Iranian Medical Students: Structural Equation Modeling.

BACKGROUND: The body image is a complex concept that influences various factors, one of these factors is the quality of life. The present study aimed to investigate the relationship between quality of life and body image perception in the medical students of Shahid Beheshti University of Medical Sciences. METHODS: This descriptive study was carried out on 400 students of Shahid Beheshti University of Medical Sciences using a stratified random sampling method and the samples were selected from each faculty in 2017 using simple random sampling Questionnaires (PSDQ) and (SF-12) were used. Data were analyzed using mean and standard deviation and t-test, Mann-Whitney U, ANOVA, kelmogrouf smirnouf test and Spearman Correlation to SPSS 16 software and structural equation modeling (SEM) was to test the relationships between the three parameters (quality of life, body image, and demographic characteristics) using AMOS24 software. RESULTS: The findings show Quality of life significantly correlated with two demographic variables: location and exercising of students. Body image perception significantly correlated merely with the body mass index and exercising. The Structural Equation Modeling (SEM) results confirmed a positive and direct relationship between the quality of life and body image perception. CONCLUSIONS: The results showed that there is a significant relationship between body image perception and quality of life. Therefore, by modifying and improving the students' quality of life in the dormitories, the level of students' self-concept can be raised in order to prevent the physical and psychological complications of this group of community.

The prevalence of metabolic syndrome in drivers: A meta-analysis and systematic review.

BACKGROUND: Metabolic syndrome is an increasing disorder, especially in night workers. Drivers are considered to work during 24 hours a day. Because of job characteristics such as stress, low mobility and long working hours, they are at risk of a metabolic syndrome disorder. OBJECTIVES: The purpose of this study is a meta-analysis and systematic review of the prevalence of metabolic syndrome in drivers. METHODS: In this systematic review, articles were extracted from national and international databases: Scientific Information Database (SID), Iran Medex, Mag Iran, Google Scholar, Science Direct, PubMed, ProQuest, and Scopus. Data analysis was performed using meta-analysis and systematic review (random effect model). The calculation of heterogeneity was carried out using the I2 index and Cochran's Q test. All statistical analyses were performed using STATA software version 11. RESULTS: A total of nine articles related to the prevalence of metabolic syndrome in drivers in different regions of the world from 2008 to 2016 were obtained. The total sample size studied was 26156 with an average of 2906 samples per study. The prevalence of metabolic syndrome in drivers was 34% (95% CI: 30-37)CONCLUSIONS:According to the results of this study, the prevalence of metabolic syndrome in drivers is high. Occupational stress, unhealthy diet and physical inactivity cannot be cited as causes of metabolic syndrome prevalence in drivers. Therefore, to maintain and to improve the health of this group, the implementation of preventive, therapeutic and rehabilitation measures for these people as well as training should be considered.

Data for the prevalence of nurses׳ burnout in Iran (a meta-analysis dataset).

The present dataset was carried out using meta-analysis method towards investigation of the prevalence of nurses׳ burnout in Iran. To this end, the keywords were searched in the Iranian databases such as Medlib, SID, Iranmedex, Magiran or even some international databases such as Cochrane, Science-Direct, Scopus, PubMed, and Google Scholar. The data were analysed using the STATA Software Version 12. In ten articles with a sample size of 1758 subjects, an average age of 30.73 (54%) and the confidence interval of 43-64, the prevalence of burnout was reported. The obtained data indicated that Fars and Zanjan Provinces had the highest and lowest rates of burnout (72% and 26%, respectively). According to the acquired data, the total prevalence of burnout among men and women measured 46% and 65%, respectively. Given the high prevalence of burnout among the Iranian nurses in this dataset and the importance of nursing in public health which requires highly motivated and committed nurses with high job satisfaction, it is recommended that the intensity of burnout be reduced through supervising the nurses׳ professional performance, supporting, paying attention to their problems, following up and providing the necessary strategies to improve their environmental, economic, and personal conditions.