生物安全实验室人员职业倦怠空间分布及影响因素分析

职业与健康 ›› 2024, Vol. 40 ›› Issue (19): 2607-2611.

生物安全实验室人员职业倦怠空间分布及影响因素分析

巨珂珂¹, 吴瑞凯², 陈昱名², 卢耀勤³

1.陕西省人民医院护理部,陕西西安 710086;
2.新疆医科大学公共卫生学院,新疆乌鲁木齐 830054;
3.乌鲁木齐市疾病预防控制中心科教科,新疆乌鲁木齐 830026

收稿日期:2023-09-29 修回日期:2023-11-18 发布日期:2026-03-17
通信作者: 卢耀勤,副主任医师,E-mail：lyq_superior@163.com
作者简介:巨珂珂,男,主要从事护理工作。
基金资助:
生物安全战略一体化建设创新团队（2022TSYCTD0015）

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

JU Keke¹, WU Ruikai², CHEN Yuming², LU Yaoqin³

1. Department of Nursing,Shaanxi Provincial People's Hospital,Xi'an,Shaanxi 710086,China;
2. School of Public Health,Xinjiang Medical University,Urumqi,Xinjiang 830054,China;
3. Department of Science and Education,Urumqi Center for Disease Control and Prevention,Urumqi,Xinjiang 830026,China

Received:2023-09-29 Revised:2023-11-18 Published:2026-03-17
Contact: LU Yaoqin,Associate chief physician,E-mail：lyq_superior@163.com

摘要/Abstract

摘要： 目的对新疆地区生物安全实验室（biosafety laboratory,BSL）人员职业倦怠患病情况的空间分布进行分析,探究BSL人员发生职业倦怠的影响因素。方法 2021年5月采用横断面调查法从新疆地区4个地级市、5个地区、5个自治州、区招募7 924名BSL工作人员,使用马斯勒职业倦怠普适量表（Masler burnout scale,MBI-GS）进行职业倦怠测量。以地级市、地区、自治州作为空间分析单位,以新疆行政区边界矢量地图作为基础地图,采用ArcGIS 10.8和SPSS 26.0软件进行职业倦怠患病的空间分析及职业紧张的影响因素分析。结果新疆地区BSL人员职业倦怠患病率为83.34%,局部空间分析显示,新疆地区BSL人员职业倦怠患病具有聚集特征,新疆地区BSL人员存在“高-高”聚集区,主要分布在新疆北部地区。职业倦怠患病率热点区域集中在吐鲁番市,冷点区域主要集中在喀什地区与和田地区。职业倦怠患病率东西方向几乎为直线分布,即从西部到东部地区职业倦怠患病率呈上升趋势;南北方向呈“n”形分布,从南方到北方职业倦怠患病率先升高后降低。多因素logistic回归分析显示,年龄、文化程度、岗位类别、月收入和实验室等级均是BSL人员发生职业倦怠的影响因素（均P<0.05）。结论 BSL人员职业倦怠患病率从西部到东部地区呈上升趋势,从南方到北方呈先升高后降低。新疆地区BSL人员职业倦怠患病率在空间分布呈聚集分布,存在空间正相关,具有一定的地区聚集性。年龄、文化程度、岗位类别、月收入和实验室等级均是BSL人员发生职业倦怠的影响因素。

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

中图分类号:

R181.3⁺1

巨珂珂, 吴瑞凯, 陈昱名, 卢耀勤. 生物安全实验室人员职业倦怠空间分布及影响因素分析. [J]职业与健康, 2024, 40(19): 2607-2611.

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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