Evidence map›Paper›PMID 31737284›Full record

ArticleAnnals of occupational and environmental medicine2019

A study on the characteristics of Maslach Burnout Inventory-General Survey (MBI-GS) of workers in one electronics company.

Young Gon Choi, Byung Jin Choi, Tae Hwi Park, Jun Young Uhm, Dong Bae Lee, Seong Sil Chang, Soo Young Kim

Abstract read
In one paragraph

Article in Annals of occupational and environmental medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Professional challenges of nurses working during the SARS-CoV-2 virus pandemic.International journal of occupational medicine and environmental health · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Determinants of Sleep Disorders and Occupational Burnout among Nurses: A Cross-Sectional Study.International journal of environmental research and public health · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Young Gon ChoiDepartment of Occupational & Environmental Medicine, Eulji University Hospital, Daejeon, Korea.ORCID https://orcid.org/0000-0001-8469-6014
Byung Jin ChoiDepartment of Occupational & Environmental Medicine, Eulji University Hospital, Daejeon, Korea.ORCID https://orcid.org/0000-0003-1325-0263
Tae Hwi ParkDepartment of Occupational & Environmental Medicine, Eulji University Hospital, Daejeon, Korea.ORCID https://orcid.org/0000-0002-1565-5988
Jun Young UhmDepartment of Occupational & Environmental Medicine, Eulji University Hospital, Daejeon, Korea.ORCID https://orcid.org/0000-0003-3703-9681
Dong Bae LeeDepartment of Occupational & Environmental Medicine, Eulji University Hospital, Daejeon, Korea.ORCID https://orcid.org/0000-0001-6177-0488
Seong Sil ChangDepartment of Occupational & Environmental Medicine, Eulji University Hospital, Daejeon, Korea.ORCID https://orcid.org/0000-0003-1581-1378
Soo Young KimDepartment of Occupational & Environmental Medicine, Eulji University Hospital, Daejeon, Korea.ORCID https://orcid.org/0000-0002-7760-7420

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study investigated characteristics according to demographic, occupational factors of Maslach Burnout Inventory-General Survey (MBI-GS) and related scales to MBI-GS.

methodsThe 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.

resultsA 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.

conclusionsMany 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.

Indexed as

BurnoutJob burnoutMaslach burnout inventory

Identifiers

PMID31737284
PMCPMC6850794

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.