ﺑﺮرﺳﯽ ﻋﻮاﻣﻞ ﭘﯿﺸﮕﻮﯾﯽﮐﻨﻨﺪه ﮐﯿﻔﯿﺖ زﻧﺪﮔﯽ ﮐﺎرﮐﻨﺎن داﻧﺸﮕﺎه ﻋﻠﻮم ﭘﺰﺷﮑﯽ ﺷﻬﯿﺪ ﺑﻬﺸﺘﯽ

Investigating the Predictive Factors of the Quality of Life in the Staff of Shahid Beheshti University of Medical Sciences

ﮐﯿﻔﯿﺖ زﻧﺪﮔﯽ ﯾﮏ ﺷﺎﺧﺺ ﺑﺎ ارزش ﺑﺮاي اﻧﺪازهﮔﯿﺮي وﺿﻌﯿﺖ ﺳﻼﻣﺖ اﻓﺮاد ﻣﺤﺴﻮب ﻣﯽﺷـﻮد. اﯾـﻦ ﻣﻄﺎﻟﻌـﻪ ﺑـﺎ ﻫـﺪف ﺗﻌﯿﯿﻦ ﻋﻮاﻣﻞ ﭘﯿﺸﮕﻮﯾﯽﮐﻨﻨﺪه ﺑﺮﮐﯿﻔﯿﺖ زﻧﺪﮔﯽ ﮐﺎرﮐﻨﺎن داﻧﺸﮕﺎه ﻋﻠﻮم ﭘﺰﺷﮑﯽ ﺷﻬﯿﺪ ﺑﻬﺸﺘﯽ اﻧﺠﺎم ﺷﺪ ﮐﻪ ﺑﺎ ﻣﺪل ﺗﺤﻠﯿﻞ ﻣﺴﯿﺮ اﺟﺮا ﺷﺪ. روش ﮐﺎر: اﯾﻦ ﻣﻄﺎﻟﻌﻪ ﻣﻘﻄﻌﯽ روي ﺷﺮﮐﺖﮐﻨﻨﺪﮔﺎن در ﻣﻄﺎﻟﻌﻪ ﮐﻮﻫﻮرت ﺳﻼﻣﺖ ﮐﺎرﮐﻨﺎن داﻧﺸﮕﺎه ﻋﻠﻮم ﭘﺰﺷﮑﯽ ﺷـﻬﯿﺪ ﺑﻬﺸـﺘﯽ در ﺳـﺎل 1397 اﻧﺠﺎم ﺷﺪ. ﺑﺮاي ﺟﻤﻊآوري اﻃﻼﻋﺎت از ﻓﺮم اﻃﻼﻋﺎت دﻣﻮﮔﺮاﻓﯿﮏ و ﭘﺮﺳﺸﻨﺎﻣﻪﻫﺎي اﺳـﺘﺎﻧﺪارد ﮐﯿﻔﯿـﺖ زﻧـﺪﮔﯽ، ﺳـﻼﻣﺖ ﻋﻤـﻮﻣﯽ، ﻓﻌﺎﻟﯿﺖ ﻓﯿﺰﯾﮑﯽ و ﻓﺮﺳﻮدﮔﯽ ﺷﻐﻠﯽ اﺳﺘﻔﺎده ﺷﺪ. از ﻧﺮماﻓﺰارﻫﺎي SPSS ﻧﺴﺨﻪ 24 و Amos ﻧﺴﺨﻪ 24 ﺑﺮاي ﺗﺠﺰﯾﻪ و ﺗﺤﻠﯿﻞ دادهﻫﺎ اﺳﺘﻔﺎده ﺷﺪ. ﯾﺎﻓﺘﻪﻫﺎ: در ﻣﺠﻤﻮع 770 ﻧﻔﺮ ﺑﺮاي ﻣﻄﺎﻟﻌﻪ اﻧﺘﺨﺎب ﺷﺪﻧﺪ ﮐﻪ از اﯾﻦ ﺗﻌﺪاد 345 ﻧﻔﺮ)44/8 درﺻﺪ( ﻣﺮد ﺑﻮد. ﻣﯿﺎﻧﮕﯿﻦ ﺳﻨﯽ و اﻧﺤﺮاف ﻣﻌﯿـﺎر ﺷﺮﮐﺖﮐﻨﻨﺪﮔﺎن 8/4 ± 42/6 ﺑﻮد. ﺗﺤﻠﯿﻞ ﻣﺴﯿﺮ ﮐﯿﻔﯿﺖ زﻧﺪﮔﯽ ﺷﺮﮐﺖﮐﻨﻨﺪﮔﺎن ﺑـﺎ ﻣـﺪل ﻣﻨﺎﺳـﺐ ﻧﺸـﺎن داد ﺷـﺪ )0/014 =RMSEA،1/146 = CFI=0/999 , NFI = 0/991 , TLI = 0/994 , CMIN/DF(. ﻋﻼوه ﺑﺮ اﯾـﻦ، ﺳـﻼﻣﺖ ﻋﻤـﻮﻣﯽ )0/560( و ﻓﻌﺎﻟﯿـﺖ ﺑـﺪﻧﯽ )0/078( ﺑﺎ ﮐﯿﻔﯿﺖ زﻧﺪﮔﯽ ارﺗﺒﺎط ﻣﺴﺘﻘﯿﻢ و ﻓﺮﺳﻮدﮔﯽ ﺷﻐﻠﯽ )0/178-( و ﺳﻦ )0/082-( ارﺗﺒﺎط ﻣﻌﮑﻮس داﺷﺘﻨﺪ. ﻧﺘﯿﺠﻪﮔﯿﺮي: در اﯾﻦ ﻣﻄﺎﻟﻌﻪ، ﻣﯽﺗﻮان ﻧﺘﯿﺠﻪ ﮔﺮﻓﺖ ﻋﻮاﻣﻠﯽ ﻫﻢﭼﻮن ﺳﻼﻣﺖ ﻋﻤﻮﻣﯽ، ﻓﻌﺎﻟﯿﺖ ﺑﺪﻧﯽ و ﻓﺮﺳﻮدﮔﯽ ﺷﻐﻠﯽ روي ﮐﯿﻔﯿﺖ زﻧﺪﮔﯽ ﺷﺮﮐﺖﮐﻨﻨﺪﮔﺎن ﺗﺄﺛﯿﺮ دارﻧﺪ و ﺗﻮﺟﻪ ﺑﻪ ﻋﻮاﻣﻞ ﻣﺆﺛﺮ ﺑﺮ ﮐﯿﻔﯿﺖ زﻧﺪﮔﯽ اﻣﺮي ﺿﺮوري اﺳﺖ.

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.