Volume 17, Issue 1 (Vol 17,No.1, Spring 2021 2021)
irje 2021, 17(1): 13-20 |
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Naghibifar Z, Soori H, Eskandari S, Razzaghi A, Khodajarim S. Investigating the Predictive Factors of the Quality of Life in the Staff of Shahid Beheshti University of Medical Sciences. irje 2021; 17 (1) :13-20
URL: http://irje.tums.ac.ir/article-1-6926-en.html
URL: http://irje.tums.ac.ir/article-1-6926-en.html
1- MSc of Epidemiology, Infectious Diseases Research Center, Kermanshah University of Medical Sciences, Kermanshah. Epidemiology Department, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2- Professor of Epidemiology, Safety Promotion and Injury Prevention Research Center, Epidemiology Department, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3- MSc of Statestic, Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
4- Research Assistant Professor of Epidemiology, Road Traffic Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
5- Associate Professor of Biostatistics, Department of Biostatistics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran ,skhodakarim@sums.ac.ir
2- Professor of Epidemiology, Safety Promotion and Injury Prevention Research Center, Epidemiology Department, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3- MSc of Statestic, Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
4- Research Assistant Professor of Epidemiology, Road Traffic Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
5- Associate Professor of Biostatistics, Department of Biostatistics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran ,
Abstract: (2009 Views)
Background and Objectives: Quality of life is a valuable indicator for measuring people's health. The purpose of this study was to determine the predictors of quality of life in the staff of Shahid Beheshti University of Medical Sciences, Tehran, Iran using the path analysis model.
Methods: This cross-sectional study was performed on subjects participating in the Health Cohort Study of Shahid Beheshti University of Medical Sciences, Tehran, Iran in 2018. A demographic information form and standard quality of life, general health, physical activity and burnout scales were used for data collection. The SPSS version 24 and Amos version 24 were used for data analysis.
Results: A total of 770 individuals were selected for the study, of whom 345 (44.8%) were male. The mean age ± standard deviation of the participants was 42.6±8.4. Analysis of the quality of life pathway of the participants showed an appropriate model (RMSEA= 0.014, CFI=0.999, NFI = 0.991, TLI = 0.994, CMIN/DF = 1.146). In addition, general health (0.560) and physical activity (0.078) had a direct correlation and occupational burnout (-0.178) and age (-0.082) had an inverse correlation with quality of life.
Conclusion: The results of this study suggest that factors such as general health, physical activity, and burnout have an impact on the participants. Therefore, it is necessary to consider the factors affecting the quality of life.
Methods: This cross-sectional study was performed on subjects participating in the Health Cohort Study of Shahid Beheshti University of Medical Sciences, Tehran, Iran in 2018. A demographic information form and standard quality of life, general health, physical activity and burnout scales were used for data collection. The SPSS version 24 and Amos version 24 were used for data analysis.
Results: A total of 770 individuals were selected for the study, of whom 345 (44.8%) were male. The mean age ± standard deviation of the participants was 42.6±8.4. Analysis of the quality of life pathway of the participants showed an appropriate model (RMSEA= 0.014, CFI=0.999, NFI = 0.991, TLI = 0.994, CMIN/DF = 1.146). In addition, general health (0.560) and physical activity (0.078) had a direct correlation and occupational burnout (-0.178) and age (-0.082) had an inverse correlation with quality of life.
Conclusion: The results of this study suggest that factors such as general health, physical activity, and burnout have an impact on the participants. Therefore, it is necessary to consider the factors affecting the quality of life.
Keywords: Path analysis, Quality of life, Burnout, Physical activity, General health, Staff of university of medical sciences
Type of Study: Research |
Subject:
Epidemiology
Received: 2021/08/18 | Accepted: 2021/05/31 | Published: 2021/05/31
Received: 2021/08/18 | Accepted: 2021/05/31 | Published: 2021/05/31
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