胡丽, 刘丹, 刘浏, 李晶晶, 田兴宽, 曹冬冬, 徐蕾涵, 叶研. 基于LASSO-logistic回归模型的北京市医务人员职业紧张现状及其影响因素分析J. 职业卫生与应急救援, 2025, 43(6): 719-724, 770. DOI: 10.16369/j.oher.issn.1007-1326.2025.250246
引用本文: 胡丽, 刘丹, 刘浏, 李晶晶, 田兴宽, 曹冬冬, 徐蕾涵, 叶研. 基于LASSO-logistic回归模型的北京市医务人员职业紧张现状及其影响因素分析J. 职业卫生与应急救援, 2025, 43(6): 719-724, 770. DOI: 10.16369/j.oher.issn.1007-1326.2025.250246
HU Li, LIU Dan, LIU Liu, LI Jingjing, TIAN Xingkuan, CAO Dongdong, XU Leihan, YE Yan. Analysis of occupational stress and its influencing factors among healthcare workers in Beijing using LASSO-logistic regressionJ. Occupational Health and Emergency Rescue, 2025, 43(6): 719-724, 770. DOI: 10.16369/j.oher.issn.1007-1326.2025.250246
Citation: HU Li, LIU Dan, LIU Liu, LI Jingjing, TIAN Xingkuan, CAO Dongdong, XU Leihan, YE Yan. Analysis of occupational stress and its influencing factors among healthcare workers in Beijing using LASSO-logistic regressionJ. Occupational Health and Emergency Rescue, 2025, 43(6): 719-724, 770. DOI: 10.16369/j.oher.issn.1007-1326.2025.250246

基于LASSO-logistic回归模型的北京市医务人员职业紧张现状及其影响因素分析

Analysis of occupational stress and its influencing factors among healthcare workers in Beijing using LASSO-logistic regression

  • 摘要:
    目的 了解北京市医务人员职业紧张发生情况,并分析其影响因素。
    方法 2022年8—11月,采用多阶段抽样的方式,从北京市16个区和经济技术开发区中抽取8个区,每个区抽取1~2家不同级别医院的医务人员为研究对象,调查其职业紧张发生情况,采用LASSO回归和logistic回归分析职业紧张发生的影响因素。
    结果 收集到28家医疗机构2 890名医务人员的调查问卷,回收有效问卷2 687份,有效回收率为92.97%。2 687名医务人员职业紧张总分的中位数(P25P75)为44(38,50)分;职业紧张发生率为26.7%(718/2 687)。LASSO回归筛选出11个变量,按重要性排序,前5位依次为:自述健康状况(不好)、失眠症状、夜班、每周工作时间(≥ 49 h)、因病请休假。多因素logistic回归模型分析结果显示:与男性比较,女性职业紧张风险较低(OR=0.696);与本岗位工龄<5年者比较,本岗位工龄≥ 5年者发生职业紧张的风险较高(OR=1.330~1.613);与月收入 < 5 000元者比较,月收入≥ 9 000元者发生职业紧张的风险较低(OR=0.569);与每周工作时间≤ 40 h者比较,每周工作≥ 45 h者发生职业紧张的风险较高(OR=1.655~2.079);与不值夜班者比较,夜班工作者发生职业紧张的风险较高(OR=1.840);与自评健康状况好的医务人员比较,自评健康状况一般和不好者发生职业紧张的风险较高(OR=1.308、2.329);与1年内未因病请休假者相比,有因病请休假情况者发生职业紧张的风险较高(OR=1.634);与无失眠症状者比较,有失眠症状者发生职业紧张的风险较高(OR=1.770);以上差异均有统计学意义(P < 0.05)。
    结论 北京市医务人员职业紧张发生率较高,建议相关部门从合理安排工作时间和工作制度、开展健康教育和健康促进等方面进行整体干预,同时加强对医务人员的心理健康筛查,避免不良心理状态对医务人员的影响。

     

    Abstract:
    Objective To investigate the prevalence of occupational stress among healthcare workers in Beijing and analyze its influencing factors.
    Methods From August to November 2022, a stratified, disproportionate cluster sampling design was employed; healthcare workers were surveyed in 1 to 2 hospitals of different levels across 8 districts (out of 16 districts and the Economic-Technological Development Area) in Beijing to assess occupational stress occurrence. LASSO regression and logistic regression analyses were conducted to identify influencing factors.
    Results A total of 2 890 questionnaires were collected from 28 medical institutions, with 2 687 valid responses returned, yielding a valid response rate of 92.97%. The median (P25, P75) of the occupational stress score was 44 (38, 50) points, and the prevalence of occupational stress was 26.7% (718/2 687). LASSO regression screened 11 variables, with the top five ranked by importance being poor self-rated health status, insomnia symptoms, night shifts, weekly working hours ≥ 49 hours, and sick leave. Logistic regression analysis revealed that, compared with males, females had a lower risk of occupational stress (OR=0.696); compared with those with a job tenure in their current position < 5 years, those with ≥ 5 years had a higher risk (OR=1.330 to 1.613); compared with these with monthly income < RMB 5 000, those earning ≥ RMB 9 000 had a lower risk (OR=0.809 to 0.569); compared with these working ≤ 40 weekly hours, those working ≥ 45 hours had a higher risk (OR=1.655 to 2.079); compared with these not working night shifts, night shift workers had a higher risk (OR=1.840); compared with those reporting good self-rated health, those reporting fair or poor health had a higher risk (OR=1.308, 2.329); compared with those without sick leave in the past year, those who had taken sick leave had a higher risk (OR=1.634); and compared with those without insomnia, those with insomnia had a higher risk (OR=1.770). All the above differences were statistically significant (P < 0.05).
    Conclusions The prevalence of occupational stress among healthcare workers in Beijing was relatively high. It is recommended that relevant authorities implement comprehensive interventions, including reasonable scheduling of working hours and systems, health education, and promotion. Additionally, psychological health screening should be strengthened to prevent the adverse impact of poor mental states on healthcare workers.

     

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