Depression and anxiety symptoms and associated factors among community residents in Shenzhen, China: a cross-sectional study.

IF 3.6 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Haoyu Hua, Kongjun Yang, Zhaoguo Wei, Wenxuan Hu, Shan Jin, Jianhong Wang
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引用次数: 0

Abstract

Background: Depressive disorders and anxiety disorders are the most common psychiatric disorders. This study aims to investigate and assess the symptoms of depression and anxiety in general community residents in Shenzhen, China, and to explore their associated factors.

Methods: A cross-sectional study was conducted with 1911 permanent community residents from three districts in Shenzhen as subjects. A self-designed structured questionnaire was used to collect basic demographic characteristics of the participants. Depression and anxiety symptoms were collected using Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7), respectively. Univariate and multivariate linear regression analyses were performed using SPSS to identify correlates of depression and anxiety symptoms.

Results: The detection rates of depression and anxiety symptoms among community residents in Shenzhen were 32.6% and 23.5%, respectively. Insomnia and neuroticism were the strongest predictors of depression and anxiety symptoms, and factors such as self-blame, growing up family environment stress, female gender, and alcohol consumption consistently predicted higher levels of depressive and anxiety symptoms. In addition, depressive symptoms among community residents in Shenzhen were associated with problem solving, life events, lie scale, and marital status. Negative emotions, withdrawal, individual exposure to abusive events, positive coping, negative coping, occupation, and frequency of alcohol consumption in the past 12 months, on the other hand, had an impact on anxiety symptoms.

Conclusions: The results of the study demonstrate the overall profile of depression and anxiety among community residents in Shenzhen and discuss the factors associated with their depression and anxiety symptoms. This may be instructive for providing accessible and targeted support and interventions for depression and anxiety symptoms among community residents in Shenzhen to improve their mental health and well-being in life, as well as for other cities undergoing similar rapid changes.

中国深圳社区居民抑郁、焦虑症状及其相关因素:一项横断面研究
背景:抑郁症和焦虑症是最常见的精神障碍。本研究旨在调查和评估深圳普通社区居民的抑郁和焦虑症状,并探讨其相关因素。方法:采用横断面研究方法,以深圳市三区1911名常住居民为研究对象。采用自行设计的结构化问卷收集参与者的基本人口统计学特征。分别使用患者健康问卷-9 (PHQ-9)和广泛性焦虑障碍问卷-7 (GAD-7)收集抑郁和焦虑症状。使用SPSS进行单因素和多因素线性回归分析,以确定抑郁和焦虑症状的相关性。结果:深圳市社区居民抑郁和焦虑症状检出率分别为32.6%和23.5%。失眠和神经质是抑郁和焦虑症状的最强预测因子,而自责、成长过程中的家庭环境压力、女性性别和饮酒等因素始终能预测更高水平的抑郁和焦虑症状。此外,深圳社区居民的抑郁症状与问题解决能力、生活事件、谎言量表和婚姻状况有关。另一方面,消极情绪、退缩、个人遭受虐待事件、积极应对、消极应对、职业和过去12个月内饮酒的频率对焦虑症状有影响。结论:本研究揭示了深圳市社区居民抑郁、焦虑的总体状况,并探讨了影响其抑郁、焦虑症状的因素。这对于为深圳社区居民的抑郁和焦虑症状提供可获得和有针对性的支持和干预措施,以改善他们的心理健康和生活幸福感,以及其他经历类似快速变化的城市,可能具有指导意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Public Health
BMC Public Health 医学-公共卫生、环境卫生与职业卫生
CiteScore
6.50
自引率
4.40%
发文量
2108
审稿时长
1 months
期刊介绍: BMC Public Health is an open access, peer-reviewed journal that considers articles on the epidemiology of disease and the understanding of all aspects of public health. The journal has a special focus on the social determinants of health, the environmental, behavioral, and occupational correlates of health and disease, and the impact of health policies, practices and interventions on the community.
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