王文朋, 陈晨, 郝贤斌. 上海市某区金融行业从业人员职业紧张及其影响因素分析[J]. 职业卫生与应急救援, 2025, 43(4): 430-434. DOI: 10.16369/j.oher.issn.1007-1326.2025.250068
引用本文: 王文朋, 陈晨, 郝贤斌. 上海市某区金融行业从业人员职业紧张及其影响因素分析[J]. 职业卫生与应急救援, 2025, 43(4): 430-434. DOI: 10.16369/j.oher.issn.1007-1326.2025.250068
WANG Wenpeng, CHEN Chen, HAO Xianbin. Analysis of occupational stress and its influencing factors among financial industry practitioners in a district of Shanghai[J]. Occupational Health and Emergency Rescue, 2025, 43(4): 430-434. DOI: 10.16369/j.oher.issn.1007-1326.2025.250068
Citation: WANG Wenpeng, CHEN Chen, HAO Xianbin. Analysis of occupational stress and its influencing factors among financial industry practitioners in a district of Shanghai[J]. Occupational Health and Emergency Rescue, 2025, 43(4): 430-434. DOI: 10.16369/j.oher.issn.1007-1326.2025.250068

上海市某区金融行业从业人员职业紧张及其影响因素分析

Analysis of occupational stress and its influencing factors among financial industry practitioners in a district of Shanghai

  • 摘要:
    目的 探讨上海市某区金融行业从业人员职业紧张现状,分析其影响因素。
    方法 采用整群抽样方法,于2024年3—5月选择上海市某区10家金融机构606人作为研究对象,采用《基本情况调查问卷》和《职业紧张测量核心量表》(COSS)进行一般情况、生活方式及职业紧张情况调查,利用多因素logistic回归模型分析金融行业从业人员职业紧张的影响因素。
    结果 回收有效问卷576份,有效问卷回收率为95.05%。金融行业从业人员的职业紧张得分为(45.84 ± 8.66)分,检出职业紧张252人,检出率为43.75%。多因素logistic回归分析结果显示:夜班负担非常大的金融行业从业人员发生职业紧张的风险是夜班负担没有或小的人员的2.878倍(OR = 2.878,95%CI:1.380 ~ 6.000);工作时间不规则的金融行业从业人员发生职业紧张的风险是工作时间规则的人员的2.998倍(OR = 2.998,95%CI:1.374 ~ 6.451);有出差负担的金融行业从业人员发生职业紧张的风险是没有出差负担人员的2.751倍(OR = 2.751,95%CI:1.093 ~ 6.925);有精神负担的金融行业从业人员发生职业紧张的风险是没有精神负担人员的12.176倍(OR = 12.176,95%CI:3.035 ~ 48.847);吸烟的金融行业从业人员发生职业紧张的风险是不吸烟人员的1.545倍(OR = 1.545,95%CI:1.004 ~ 2.378);以上差异均有统计学意义(P<0.05)。
    结论 上海市某区金融行业从业人员普遍存在职业紧张现象。夜班负担、不规则工作时间、出差负担、精神负担及吸烟情况可能是金融行业从业人员职业紧张的影响因素,应采取相应的干预措施减少职业紧张的发生,保护金融行业从业人员身心健康。

     

    Abstract:
    Objective To investigate the current status of occupational stress among financial industry practitioners in a district of Shanghai and to analyze its influencing factors.
    Methods A cluster sampling method was used to select 606 employees from 10 financial institutions in a district of Shanghai during March and May 2024. A general information questionnaire and the Core Occupational Stress Scale (COSS) were used to assess demographics, lifestyle, and occupational stress. Multivariate logistic regression was conducted to identify potential influencing factors of occupational stress among the participants.
    Results A total of 576 valid questionnaires were collected, with a valid response rate of 95.05%. The mean occupational stress score of financial industry practitioners was (45.84 ± 8.66) points, and 252 individuals were identified with occupational stress, with a detection rate of 43.75%. Multivariate logistic regression analysis revealed that financial industry practitioners with a heavy night shift burden had a higher risk of experiencing occupational stress compared to those with no or light night shift burden (OR = 2.878, 95%CI: 1.380 to 6.000). Those with irregular working hours had a higher risk than those without irregular hours (OR = 2.998, 95%CI: 1.374 to 6.451). Individuals with business travel burdens had a higher risk compared to those without such burdens (OR = 2.751, 95%CI: 1.093 to 6.925). Those experiencing mental burdens had a higher risk of occupational stress compared to those without mental burdens (OR = 12.176, 95%CI: 3.035 to 48.847). Smokers had a higher risk of occupational stress compared to non-smokers (OR = 1.545, 95%CI: 1.004 to 2.378). All of these differences were statistically significant (P < 0.05).
    Conclusions Occupational stress was prevalent among financial industry practitioners in a district of Shanghai. Heavy night shift burden, irregular working hours, frequent business travel, significant mental burden, and smoking were influencing factors. Targeted interventions should be implemented to reduce occupational stress and protect the physical and mental health of financial professionals.

     

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