杨智鹏, 唐小期, 肖千一, 陈磊, 褚爱群. 上海市某郊区职业人群焦虑和抑郁现状及影响因素之差异分析J. 职业卫生与应急救援, 2026, 44(1): 13-19,30. DOI: 10.16369/j.oher.issn.1007-1326.2026.250427
引用本文: 杨智鹏, 唐小期, 肖千一, 陈磊, 褚爱群. 上海市某郊区职业人群焦虑和抑郁现状及影响因素之差异分析J. 职业卫生与应急救援, 2026, 44(1): 13-19,30. DOI: 10.16369/j.oher.issn.1007-1326.2026.250427
YANG Zhipeng, TANG Xiaoqi, XIAO Qianyi, CHEN Lei, CHU Aiqun. Differential analysis of anxiety and depression status and influencing factors among occupational populations in a suburban area of ShanghaiJ. Occupational Health and Emergency Rescue, 2026, 44(1): 13-19,30. DOI: 10.16369/j.oher.issn.1007-1326.2026.250427
Citation: YANG Zhipeng, TANG Xiaoqi, XIAO Qianyi, CHEN Lei, CHU Aiqun. Differential analysis of anxiety and depression status and influencing factors among occupational populations in a suburban area of ShanghaiJ. Occupational Health and Emergency Rescue, 2026, 44(1): 13-19,30. DOI: 10.16369/j.oher.issn.1007-1326.2026.250427

上海市某郊区职业人群焦虑和抑郁现状及影响因素之差异分析

Differential analysis of anxiety and depression status and influencing factors among occupational populations in a suburban area of Shanghai

  • 摘要: 目的 分析上海某郊区职业人群的心理健康状况及其影响因素,为提升该人群心理健康水平提供科学依据。方法 2024年3—12月,采用随机整群抽样法选取该郊区工业园区内20家企业进行横断面调查。采用《焦虑自评量表》和《抑郁自评量表》评估职业人群的焦虑和抑郁症状,运用二分类logistic回归模型分析心理健康状况及其影响因素。结果 收集问卷1 330份,回收有效问卷1 310份,有效回收率为98.5%。焦虑症状检出率为23.2%,抑郁症状检出率为55.0%。二分类logistic回归分析结果显示:(1) 相比女性、18 ~ 25岁、无职业危害暴露、每天工作时长 < 8 h、从事体力劳动、无心理压力、因健康问题而有心理压力的人群,男性、26 ~ 30岁、有职业危害暴露、每天工作时长超过12 h、从事脑力劳动、偶尔有心理压力、经常有心理压力、因工作问题而有心理压力者的焦虑症状检出率升高(OR = 1.43、1.69、1.48、3.05、1.43、3.02、13.36、1.75,均P < 0.05)。(2) 相比年龄18 ~ 25岁、外省市、研究生及以上学历、个人年收入16万以上、管理岗、脑力劳动者、没有心理压力者,51 ~ 60岁、上海市本地人群、高中或中专和初中及以下学历、年收入为4万及以下、其他岗位、体力劳动者、经常有心理压力者的抑郁症状检出率更高(OR = 1.88、1.41、3.25、5.07、2.82、2.59、1.65、2.37,均P < 0.05)。与每天工作时长 < 8 h的人群相比,每天工作时长8 ~ 10 h和10 ~ 12 h的人群抑郁症状检出率更低(OR = 0.64、0.63,均P < 0.05)。结论 上海郊区职业人群焦虑和抑郁问题较市区及普通人群更为突出,两者关联密切且影响因素有差异,需针对性地实施干预以降低风险。

     

    Abstract: Objective To assess the mental health status and associated influencing factors of occupational populations in a suburban area of Shanghai, providing scientific evidence for improving their mental health level. Methods A cross-sectional survey was conducted from March to December 2024, using a stratified cluster random sampling method across 20 enterprises located in an industrial park of the suburban area. Anxiety and depression symptoms were evaluated using the Self-Rating Anxiety Scale (SAS) and the Self-Rating Depression Scale (SDS). Binary logistic regression models were employed to analyze the prevalence and influencing factors of psychological symptoms. Results A total of 1 330 questionnaires were distributed, and 1 310 valid responses were collected, with a valid response rate of 98.5%. The detection rate of anxiety symptoms was 23.2%, and that of depression symptoms was 55.0%. Logistic regression analysis revealed the following: (1) Compared to females, individuals aged 18 to 25, those without occupational hazard exposure, working less than 8 hours per day, engaged in manual labor, and experiencing no psychological stress or stress due to health issues, the detection rate of anxiety symptoms was significantly higher among males, individuals aged 26 to 30, those exposed to occupational hazards, working more than 12 hours per day, engaged in mental labor, and experiencing occasional or frequent psychological stress or stress due to work-related issues (OR = 1.43, 1.69, 1.48, 3.05, 1.43, 3.02, 13.36, 1.75; all P < 0.05). (2) Compared to individuals aged 18 to 25, non-local residents, those with postgraduate education or above, annual income over 160 000 RMB, holding management positions, engaged in mental labor, or without psychological stress, the detection rate of depression symptoms was significantly higher among individuals aged 51 to 60, local residents, those with high school, vocational, or lower education levels, annual income below 40 000 RMB, holding non-management positions, engaged in manual labor, or experiencing frequent psychological stress (OR = 1.88, 1.41, 3.25, 5.07, 2.82, 2.59, 1.65, 2.37; all P < 0.05). Additionally, compared to individuals working less than 8 hours per day, those working 8 to 10 hours or 10 to 12 hours per day had significantly lower detection rates of depression symptoms (OR = 0.64, 0.63; both P < 0.05). Conclusions Anxiety and depression symptoms were more prevalent among occupational populations in suburban Shanghai compared to urban and general populations. These conditions were closely interrelated but influenced by distinct factors. Targeted interventions are necessary to mitigate associated risks.

     

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