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| Prevalence of depressive symptoms among grassroots healthcare workers in Zhejiang Province |
| LUO Kemeng1, LI Sheng2, LÜ Menglian3, LIN Junfen4,5
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1. Department of Infectious Diseases Control and Prevention, Cixi Center for Disease Control and Prevention, Cixi, Zhejiang 315300, China;
2. Changxing County Center for Disease Control and Prevention, Changxing, Zhejiang 313100, China;
3. Xiuzhou District Center for Disease Control and Prevention, Jiaxing, Zhejiang 314000, China;
4. Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang 310051, China;
5. Zhejiang Provincial Key Laboratory for Vaccine, Prevention and Control of Infectious Disease, Hangzhou, Zhejiang 310051, China |
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Abstract Objective To investigate the prevalence and influencing factors of depressive symptoms among grassroots healthcare workers in Zhejiang Province, so as to provide insights into improving their mental health. Methods Grassroots healthcare workers of community health service centers and township health centers were sampled from one county (city, district) in each of 11 cities in Zhejiang Province using a convenience sampling method from December 2022 to January 2023. Participants' gender, age, educational level and average daily sleep duration in the past week were collected through questionnaires, and depression symptoms was investigated according to Self-rating Depression Scale. Factors affecting the depressive symptoms were identified using a multivariable logistic regression model. Results A total of 1 946 questionnaires were distributed, and 1 945 valid questionnaires were recovered, with an effective response rate of 99.95%. There were 444 boys, accounting for 22.83%, and 1 501 girls, accounting for 77.17%. The median age was was 36 (interquartile range, 44) years. There were 786 healthcare workers detected with depressive symptoms, with a prevalence rate of 40.41%, and the prevalence rates of mild, moderate and severe depressive symptoms were 26.94%, 10.49% and 2.98%, respectively. Multivariable logistic regression analysis identified age (50 years and older, OR=0.572, 95%CI: 0.386-0.846), annual income (100 000 to 149 999 Yuan, OR=0.780, 95%CI: 0.635-0.958; 150 000 to 199 999 Yuan, OR=0.463, 95%CI: 0.282-0.760; 200 000 Yuan and above, OR=0.303, 95%CI: 0.098-0.937), vocation (nurse, OR=1.593, 95%CI: 1.252-2.027) and sleep duration (less than 7 hours, OR=2.164, 95%CI: 1.768-2.648) as factors affecting depressive symptoms among grassroots healthcare workers in Zhejiang Province. Conclusions The prevalence of depressive symptoms among grassroots healthcare workers in Zhejiang Province is 40.41%. Age, annual income, job and sleep duration may affect the development of depressive symptoms among grassroots healthcare workers.
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Received: 08 May 2023
Revised: 17 August 2023
Published: 10 October 2023
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[1] 秦怡,黄元英,何中臣,等.基于案例梳理的基层医疗卫生机构重大传染性疾病防控:经验、问题与对策[J].中国全科医学,2021,24(1):11-16.
[2] 中华医学会学术会务部,中华医学会行为医学分会.疫情防控一线医务人员身心疲惫的预防干预专家共识[J].中华医学信息导报,2020,35(6):21-22.
[3] 施征宇,朱美红.上海市某区社区卫生服务中心医务人员抑郁焦虑情绪调查[J].心理学通讯,2019,2(3):197-203.
[4] 沈强,张月琴,江圣洁,等.新冠肺炎疫情期间医务人员焦虑状况的Meta分析[J].预防医学,2022,34(7):720-726.
[5] 唐涵凌,刘师宏,周凌雪,等.彭州市基层医务人员焦虑抑郁情绪及影响因素研究[J].职业卫生与病伤,2020,35(5):285-291.
[6] 戴晓阳. 常用心理评估量表手册[M].北京:人民军医出版社,2010.
[7] 中华人民共和国国家卫生健康委员会.健康中国行动(2019—2030年)[A/OL].[2023-08-17].https://www.gov.cn/xinwen/2019-07/15/content_5409694.htm.
[8] 王征宇,迟玉芬.抑郁自评量表(SDS)[J].上海精神医学,1984(2):71-72.
[9] 段泉泉,胜利.焦虑及抑郁自评量表的临床效度[J].中国心理卫生杂志,2012,26(9):676-679.
[10] 杨柳,郭琼杰,史文宗,等.医务人员焦虑抑郁障碍与工作压力、应对方式及社会支持的关系[J].职业与健康,2020,36(22):3080-3084.
[11] 井永法,连华锋,王思洁,等.综合医院医务人员心理健康状况调查研究[J].中国医学创新,2021,18(7):85-89.
[12] 袁媛,陈英,韩海宏,等.医务人员焦虑抑郁现状与工作强度的相关性[J].中国健康心理学杂志,2019,27(7):1059-1063.
[13] 刘朝霞,郑凯莉,储珺,等.心理弹性与神经质中介压力知觉与抑郁症状的关系:基于路径分析[J].中国临床心理学杂志,2021,29(2):352-356.
[14] 刘留留. 医务人员职业紧张致职业枯竭的影响因素研究[D].南京:东南大学,2017.
[15] 袁蓓蓓. 女性医务人员工作环境和工作感受中性别差异现况及改善措施[J].中华医学杂志,2022,102(41):3328-3332.
[16] 陆林. 关爱抗疫前线医务人员的心理健康刻不容缓[J].中国心理卫生杂志,2020,34(3):240-242.
[17] 伍甜甜,虞建英,肖亚洲,等.湖南省成年居民睡眠状况及其影响因素分析[J].现代预防医学,2022,49(20):3766-3770,3805.
[18] 余家快,王婷,张玉,等.抑郁症病人睡眠结构特征与前瞻性记忆的相关性研究[J].安徽医药,2022,26(12):2489-2493. |
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