Combining job stress models in predicting burnout by hierarchical multiple regressions: A cross-sectional investigation in Shanghai

Journal of Occupational and Environmental Medicine

Volumn 50, Issue 7, 2008, Pages 785-790

  Dai, Jun Ming ^a   Collins, Sean ^b   Yu, Hui Zhu ^c   Fu, Hua ^a  

^a FUDAN UNIVERSITY   (China)

^b UNIVERSITY OF MASSACHUSETTS LOWELL   (United States)

^c Shanghai Center of Disease Control and Prevention   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACHIEVEMENT; ADULT; ARTICLE; BURNOUT; CHINA; CORRELATION ANALYSIS; CROSS-SECTIONAL STUDY; DEPERSONALIZATION; EDUCATIONAL STATUS; EMOTIONAL STRESS; EMPLOYEE; FEMALE; HEALTH CARE PERSONNEL; HUMAN; JOB STRESS; MAJOR CLINICAL STUDY; MALE; MANAGER; MARRIAGE; MULTIPLE REGRESSION; OCCUPATION; OFFICE WORKER; POLICE; PREDICTION; PREDICTIVE VALIDITY; QUESTIONNAIRE; RATING SCALE; REWARD; SOCIAL SUPPORT; STATISTICAL MODEL; TEACHER; FORECASTING; MENTAL STRESS; MIDDLE AGED; OCCUPATIONAL EXPOSURE; REGRESSION ANALYSIS; THEORETICAL MODEL; URBAN POPULATION;

ADULT; BURNOUT, PROFESSIONAL; CHINA; CROSS-SECTIONAL STUDIES; FEMALE; FORECASTING; HUMANS; MALE; MIDDLE AGED; MODELS, THEORETICAL; OCCUPATIONAL EXPOSURE; REGRESSION ANALYSIS; STRESS, PSYCHOLOGICAL; URBAN POPULATION;

EID: 59849119423     PISSN: 10762752     EISSN: None     Source Type: Journal    
DOI: 10.1097/JOM.0b013e318167750a     Document Type: Article

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