COVID-19疫情防控常态化下某疾病预防控制系统职工心理健康现状及影响因素

目的  调查COVID-19疫情防控常态化下上海市疾病预防控制系统职工心理健康现状，分析相关影响因素。方法  采用分层整群抽样的方法，对上海市4所CDC共538名职工开展心理健康状况问卷调查。结果  调查对象抑郁、焦虑、人际孤独得分分别为10(3, 20)分、7(2, 15)分、4(0, 12)分。不同学历、婚姻状况、职业、有无基础性疾病、不同单位、不同工作班制组的抑郁得分比较，均存在统计学差异(均有P < 0.05)，不同学历、职业、有无基础性疾病、不同单位、不同工作班制组的焦虑及人际孤独得分比较，均存在统计学差异(均有P < 0.05)。职工自我判断抑郁、焦虑、人际孤独来源主要是常规工作与疫情工作并存带来的双重压力、疫情进展不明确、不知何时结束等。多因素分析结果显示单位、基础性疾病、轮班制(多班、倒班制)、学历、近两周最长工作时长是职工抑郁得分的主要影响因素；单位、基础性疾病、轮班制(多班、倒班制)、近两周最长工作时长是职工焦虑得分的主要影响因素；单位、轮班制(多班、倒班制)是职工人际孤独得分的主要影响因素。结论  上海市疾病预防控制系统职工中抑郁、焦虑、人际孤独三个维度的得分及影响因素各不相同，应结合抑郁、焦虑、人际孤独自我判定来源有针对性地进行干预，提高其心理健康水平。

Mental health status and influencing factors of staffs in the disease control and prevention system under the normalization prevention of COVID-19 epidemic

  Objective  To investigate the mental status of staffs in disease prevention and control system of Shanghai, and to analyze the relevant factors that may affect the mental status of staffs under the normalized prevention and control period of COVID-19.  Methods  Stratified cluster sampling was used in the study. A questionnaire survey on 538 staffs in 4 disease control and prevention centers was implemented.  Results  The scores of depression, anxiety, interpersonal loneliness were listed as 10(3, 20), 7(2, 15), 4(0, 12). Depression scores in different education backgrounds, marital status, occupations, underlying diseases, units, work shifts population were different (all P < 0.05). Anxiety and interpersonal loneliness scores in different education backgrounds, occupations, underlying diseases, units, work shifts population were different (all P < 0.05). The respondents thought that pressure from the routine work and the COVID-19 prevention and control work, uncertainty about the COVID-19 development, et al all contributed to their depression, anxiety, interpersonal loneliness feeling. Results showed that units, underlying diseases, work shifts, education backgrounds, the longest working hour in the last 2 weeks were the main influencing factors of depression scores basing on multi-factor analysis model; units, underlying diseases, work shifts, the longest working hour in the last 2 weeks were the main influencing factors of anxiety scores; units, work shifts were the main influencing factors of interpersonal loneliness scores.  Conclusions  The scores and influencing factors of depression, anxiety, interpersonal loneliness dimension in the study were separately different. It is suggested that targeted measures should be taken to improve the mental health status of the staffs.