The prevalence evaluation and influencing factors analysis of depressive symptom in residents: a cross-sectional study based on eight residency training centers in Liaoning Province
10.3760/cma.j.cn116021-20201011-01182
- VernacularTitle:住院医师抑郁症状现况评价及影响因素分析：基于辽宁省8家培训基地的横断面研究
- Author:
Qing CHANG
1
;
Song BAI
;
Xi ZHANG
;
Da YAO
;
Yixiao ZHANG
;
Caigang LIU
;
Yuhong ZHAO
Author Information
1. 中国医科大学附属盛京医院毕业后培训部，沈阳 110004
- Keywords:
Resident;
Standardized training;
Depressive symptom
- From:
Chinese Journal of Medical Education Research
2023;22(2):241-246
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the prevalence of depression symptoms in residents, and to analyze the demographic characteristics, training status and psychological influencing factors in order to provide the evidence for the mental health management and intervention of residents in China at current stage.Methods:A total of 1 050 participants from eight different training centers in Shenyang, Dalian, Jinzhou and Fushun of Liaoning Province were investigated by Pittsburgh sleep quality index, International physical activity questionnaire, Survey of perceived organizational support, Psychological capital questionnaire and Minnesota satisfaction questionnaire, which covered questions including social demographic information, training information, sleep status, physical activity, organization support, psychological capital, job satisfaction and depressive symptoms of residents. SPSS 22.0 were used to carry out statistical analysis such as logistic regression.Results:A total of 962 valid questionnaires were collected and the results showed that 44.59% (429/962) of residents had depressive symptoms. High training grade ( ORPGY-3=1.775, P=0.006) and poor quality of sleep ( OR=1.662, P<0.001) were risk factors of depressive symptoms, whereas psychological capital ( OR=0.962, P<0.001) and job satisfaction ( OR=0.972, P=0.001) were protective factors of depressive symptoms. Conclusion:The prevalence of depressive symptoms is high in residents. Training grade, sleep quality, psychological capital and job satisfaction are closely associated with the high prevalence of depressive symptoms, which should be paid more attention to.
