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新冠疫情后时期青年人群抑郁症状的流行状况及其影响因素分析——来自中国湖北省首轮 COVID-19 疫情的证据。

Prevalence and associated factors of depressive symptoms among the young adults during the post-epidemic period - Evidence from the first wave of COVID-19 in Hubei Province, China.

机构信息

Liyuan Cardiovascular Center, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430077, China.

College of Public Administration, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; Non-traditional Security Institute, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.

出版信息

Acta Psychol (Amst). 2022 Jun;226:103577. doi: 10.1016/j.actpsy.2022.103577. Epub 2022 Mar 26.

DOI:10.1016/j.actpsy.2022.103577
PMID:35349926
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8957284/
Abstract

INTRODUCTION

China emerged from the first wave of COVID-19 in a short period of time and returned to normal economic and living order nationwide, making China's entry into the post-COVID-19 epidemic period since April 2020. However, the COVID-19 epidemic had a great impact on young adults' psychological status and may continue into the post-epidemic period. The enormous economic, employment and entrepreneurship pressures of this period may exacerbate this negative impact. This study investigated the depression status of the young adults and put forward the suggestions on how to strengthen the psychological crisis intervention and social security to cultivate the resilience of the young adults after major public health emergencies.

METHODS

This study conducted a questionnaire survey to identify the prevalence of depressive symptoms and explore the associated factors of depressive symptoms among 1069 young adults in X City, Hubei province in September 2020. And the multistage stratified random sampling method was used for sampling. Depressive symptoms were measured using the 10-item version of the Center for Epidemiological Studies Depression Scale (CES-D-10). Descriptive statistics and logistic regression analysis were adopted for statistical analysis.

RESULTS

1069 respondents (67.68% male; mean age = 28.87 ± 4.18 years; age range = 18-35 years) were included in final analyses. About 25.9% of the respondents reported depressive symptoms (CES-D-10 score = 7.28 ± 3.85). Age, marital status, employment status, monthly disposable income, the cognition, experience and social relationship of the COVID-19 epidemic, and regional discrimination were significantly associated with depressive symptoms. Being male (P = 0.025), age of 25-29 years (P = 0.011), having a household size with 4-5 (P = 0.01) and more than 8 (P = 0.012) family members, a little pessimism about the prospect of COVID-19 epidemic prevention and control (P = 0.044), often (P = 0.018) or always (P = 0.009) participation in anti-epidemic volunteer work were likely to lead to depressive symptoms.

CONCLUSIONS

In the post-COVID-19 epidemic period, the psychological status of young people is generally stable, but some of them are depressed. Life, work and mental stress affect the generation of depressive symptoms among the young adults.

摘要

简介

中国在短时间内摆脱了第一波 COVID-19 疫情,全国范围内恢复了正常的经济和生活秩序,自 2020 年 4 月以来,中国已进入后 COVID-19 疫情时期。然而,COVID-19 疫情对年轻人的心理状况产生了巨大影响,并可能持续到后疫情时期。这个时期巨大的经济、就业和创业压力可能会加剧这种负面影响。本研究调查了年轻人的抑郁状况,并提出了加强心理危机干预和社会保障的建议,以培养年轻人在后重大公共卫生突发事件时期的韧性。

方法

本研究于 2020 年 9 月在湖北省 X 市采用多阶段分层随机抽样方法对 1069 名年轻人进行问卷调查,以确定抑郁症状的流行率,并探讨抑郁症状的相关因素。采用 10 项版本的流行病学研究中心抑郁量表(CES-D-10)测量抑郁症状。采用描述性统计和逻辑回归分析进行统计分析。

结果

最终纳入 1069 名受访者(67.68%为男性;平均年龄 28.87 ± 4.18 岁;年龄范围 18-35 岁)进行最终分析。约 25.9%的受访者报告有抑郁症状(CES-D-10 评分 7.28 ± 3.85)。年龄、婚姻状况、就业状况、月可支配收入、对 COVID-19 疫情的认知、经验和社会关系以及地域歧视与抑郁症状显著相关。男性(P=0.025)、25-29 岁年龄组(P=0.011)、家庭人口规模为 4-5 人(P=0.01)和 8 人以上(P=0.012)、对 COVID-19 疫情防控前景持悲观态度(P=0.044)、经常(P=0.018)或总是(P=0.009)参与抗疫志愿者工作的人更有可能出现抑郁症状。

结论

在后 COVID-19 疫情时期,年轻人的心理状况总体稳定,但其中一些人存在抑郁症状。生活、工作和精神压力影响了年轻人抑郁症状的产生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa6d/8957284/8299dda22ca5/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa6d/8957284/8299dda22ca5/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa6d/8957284/8299dda22ca5/gr1_lrg.jpg

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