Analysis on spatial distribution and influencing factors of job burnout among personnel in biosafety laboratory

Abstract

Abstract: Objective To analyze the spatial distribution of job burnout prevalence among personnel in biosafety laboratory（BSL） in Xinjiang region,and explore the influencing factors of job burnout among BSL personnel. Methods In May 2021,a cross-sectional survey was conducted to recruit 7 924 biosafety laboratory staff from 4 prefectures-level cities,5 regions,5 autonomous prefectures-districts and districts in Xinjiang. Maslar burnout scale（MBI-GS） was used to measure job burnout. Using the prefecture-level city,region and autonomous prefecture as the spatial analysis units,Xinjiang administrative region boundary vector map as the basic map,ArcGIS 10.8 and SPSS 26.0 software were used for spatial analysis of job burnout and analysis of the influencing factors of job stress. Results The detection rate of job burnout among BSL personnel in Xinjiang region was 83.3%. The local spatial analysis showed that the job burnout of biosafety laboratory personnel in Xinjiang had clustering characteristics,and there was a "high-high" clustering area among BSL personnel in Xinjiang,mainly distributed in the northern region of Xinjiang. The hotspots of job burnout prevalence were concentrated in Turpan City,while the cold spots of job burnout prevalence were mainly concentrated in Kasha and Holtan areas. The prevalence of job burnout was almost a straight-line distribution in the east-west direction,with an increasing trend from the west to the east. The north-south direction showed an "n" shaped distribution,with an initial increase and then a decrease from the south to the north. Multivariate logistic regression analysis showed that age,education level,job category,monthly income and laboratory grade were all influencing factors for job burnout among BSL personnel（all P<0.05）. Conclusion The prevalence of job burnout among BSL personnel increased from the west to the east,and increased first and then decreased from the south to the north. The prevalence of job burnout among BSL personnel in Xinjiang showed a spatial clustering distribution,with a spatial positive correlation and a certain degree of regional clustering. Age,education level,job category,monthly income and laboratory grade were all the influencing factors of job burnout among BSL personnel.

Key words: Job burnout, Spatial autocorrelation, Trend surface analysis, Geographic information system, Factor analysis

CLC Number:

R181.3⁺1

JU Keke, WU Ruikai, CHEN Yuming, LU Yaoqin. Analysis on spatial distribution and influencing factors of job burnout among personnel in biosafety laboratory. [J]OCCUPATION AND HEALTH, 2024, 40(19): 2607-2611.

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