A study on the characteristics of Maslach Burnout Inventory-General Survey (MBI-GS) of workers in one electronics company
10.35371/aoem.2019.31.e29
- Author:
Young Gon CHOI
1
;
Byung Jin CHOI
;
Tae Hwi PARK
;
Jun Young UHM
;
Dong Bae LEE
;
Seong Sil CHANG
;
Soo Young KIM
Author Information
1. Department of Occupational & Environmental Medicine, Eulji University Hospital, Daejeon, Korea. kimsooy@gmail.com
- Publication Type:Original Article
- Keywords:
Burnout;
Job burnout;
Maslach burnout inventory
- MeSH:
Counseling;
Demography;
Depression;
Drinking Behavior;
Female;
Humans;
Korea;
Male;
Marital Status;
Population Groups;
Quality of Life;
Social Identification;
Weights and Measures;
World Health Organization
- From:Annals of Occupational and Environmental Medicine
2019;31(1):e29-
- CountryRepublic of Korea
- Language:English
-
Abstract:
BACKGROUND: This study investigated characteristics according to demographic, occupational factors of Maslach Burnout Inventory-General Survey (MBI-GS) and related scales to MBI-GS. METHODS: The subjects of the study were 3,331 workers in 3 different workplaces of one electronics company. They filled in demographic factors surveys, occupational factors surveys, MBI-GS, Korean Occupational Stress Scale-Short Form (KOSS-SF), Patient Health Questionnaire-9 (PHQ-9), and World Health Organization Quality Of Life-Abbreviated version (WHOQOL-BREF). The correlations between sub-scales of MBI-GS and KOSS-SF, PHQ-9, WHOQOL-BREF were analyzed respectively. And KOSS-SF, PHQ-9, and WHOQOL-BREF were categorized; mean scores of sub-scales of MBI-GS were compared; and the quartiles of sub-scales of MBI-GS were presented. RESULTS: A comparison of mean scores of MBI-GS according to demographic and occupational factors showed a significant difference according to age, problem drinking behavior, working time, and working duration in exhaustion regardless of sex. In professional efficacy, a significant difference was observed in age, marital status, working type, and working duration. And as a result of correlation analysis, the correlation coefficient between exhaustion and PHQ-9 was the highest regardless of sex. In addition, regardless of sex, exhaustion and cynicism scores tended to increase and professional efficacy score tended to decrease as the work stress level rose. Same tendency is shown in case of the more severe the symptom of depression and the lower quality of life. When the quartile for sub-scales' score of MBI-GS were investigated, the burnout was more pronounced in female than in male. CONCLUSIONS: Many demographic and occupational factors affect burnout were identified in one electronics company, and we investigated which sub-scales of MBI-GS were affected. Through this study, burnout characteristics were identified in a few population group of Korea, and the results are expected to be useful for burnout risk group identification, counseling, etc.
