环境与职业医学2025，Vol.42Issue(12)：1472-1479,1490,9.DOI:10.11836/JEOM25232
生物安全实验室职工职业倦怠潜在剖面分析及影响因素
Latent profile analysis of occupational burnout and its influencing factors among biosafety lab-oratory workers
摘要
Abstract
[Background]Staff in biosafety laboratories(BSL)are more likely to experience occupational burnout and other psychological issues due to their unique working environment and high job demands.However,current research in this field tends to focus on overall analyses,overlooking the internal differences within this group. [Objective]To explore latent profiles of occupational burnout among BSL workers and their influencing factors,providing a reference for targeted burnout interventions. [Methods]In 2022,cluster random sampling was used to select 8 023 BSL workers in Xinjiang.Data were collected via a questionnaire survey,including a self-designed general information questionnaire,the Maslach Burnout Inventory-General Survey(MBI-GS),and the Ef-fort-Reward Imbalance(ERI)scale,to analyze demographic characteristics,occupational burnout,and job stress status.After data clean-ing,latent profile analysis(LPA)was applied to identify burnout profiles,followed by K-means clustering for verification.Logistic regression was used to analyze influencing factors with burnout profiles as the dependent variable. [Results]After excluding invalid questionnaires,7 924 valid questionnaires were retained,with an recovery rate of 98.77%.The LPA results indicated that occupational burnout among BSL staff was categorized into three latent profiles:a low burnout profile(2 208 individuals,27.86%),a moderate burnout profile(4 636 individuals,58.51%),and a high burnout profile(1 080 individuals,13.63%).A similar grouping was derived from K-means clustering analysis(28.71%,53.37%,and 17.92%),and a Sankey diagram demonstrated significant overlap be-tween the two classification results.Statistically significant differences were observed across the three latent profiles in all three dimensions of burnout:emotional exhaustion,cynicism,and reduced personal accomplishment.The final logistic regression model revealed that the influencing factors exhibited characteristics of partial overlap and partial differentiation.Among the common influencing factors,the shared protective factors included:age≥50 years(ORmoderate burnout=0.42,ORhigh burnout=0.45),monthly income of 4 000-6 000 RMB(ORmoderate burnout=0.83,ORhigh burnout=0.71),good sleep quality(ORmoderate burnout=0.70,ORhigh burnout=0.13)and very good sleep quality(ORmoderate burnout=0.51,ORhigh burnout=0.12),and engaging in physical exercise≥5 times per week(ORmoderate burnout=0.74,ORhigh burnout=0.48).The protective effects were more pronounced for the high burnout profile.The common risk factors included:21-30 years of service(ORmoderate burnout=1.38,ORhigh burnout=3.00),≥31 years of service(ORmoderate burnout=1.47,ORhigh burnout=3.39),working in"other positions"(ORmoderate burnout=1.46,ORhigh burnout=1.56),and occupational stress(ERI>1)(ORmoderate burnout=2.62,ORhigh burnout=3.25),with the risk effects being more significant for the high burnout profile.Regarding differentiated influencing factors,protective factors exclusively associated with the moderate burnout profile included having an associate degree(OR=0.70)and engaging in physical exercise 3-4 times per week(OR=0.74).For the high burnout profile,exclusive protective factors included age 40-50 years(OR=0.56),while exclusive risk factors included having a senior professional title(OR=1.85),holding a managerial role(OR=1.78),a high number of night shifts per month(OR=2.66),and a very high number of night shifts per month(OR=3.93). [Conclusion]BSL workers exhibit three distinct latent burnout profiles.Occupational burnout requires greater attention,and targeted prevention and intervention strategies should be developed based on worker subtypes.关键词
职业倦怠/生物安全实验室/职工/潜在剖面分析/K均值聚类Key words
occupational burnout/biosafety laboratory/worker/latent profile analysis/K-means clustering分类
医药卫生引用本文复制引用
李宝军,丁蕾,俞婧,夏梦杰,刘稹诚,杨清月,卢耀勤..生物安全实验室职工职业倦怠潜在剖面分析及影响因素[J].环境与职业医学,2025,42(12):1472-1479,1490,9.基金项目
新疆维吾尔自治区科技创新团队(天山创新团队)项目(2022TSYCTD0015) （天山创新团队）
