Prevalence and patterns of major depressive disorder and subthreshold depressive symptoms in south China

重性抑郁障碍 心理健康 萧条(经济学) 多项式logistic回归 中国大陆 医学 人口学 横断面研究 精神科 逻辑回归 老年学 中国 心情 内科学 地理 社会学 病理 经济 考古 宏观经济学 机器学习 计算机科学
作者
Dan-Dan Liao,Min Dong,Kai‐Rong Ding,Cai‐Lan Hou,Wenyan Tan,Yun-Fei Ke,Fu‐Jun Jia,Shibin Wang
出处
期刊:Journal of Affective Disorders [Elsevier BV]
卷期号:329: 131-140 被引量:14
标识
DOI:10.1016/j.jad.2023.02.069
摘要

Information on major depressive disorder (MDD) and subthreshold depressive symptoms (SDS) is rarely reported in south China. This study examines the prevalence rates and patterns of MDD and SDS of a large representative sample of adult residents in south China. The Guangdong Mental Health Survey was conducted on adults (over 18 years) from September to December 2021. Multistage stratified cluster sampling was used and face-to-face interviews were done with a two-stage design by trained lay interviewers and psychiatrists. A total of 16,377 inhabitants were interviewed using standardized assessment tools. Data were weighted to adjust for differential probabilities of selection and differential response. The weighted prevalence rates of MDD and SDS were 2.5 % (95%CI: 2.2 %–2.9 %) and 14.7 % (95%CI: 14.0 %–15.5 %), respectively. Multinomial logistic regression analysis revealed that female, younger age, living in urban area, higher education, unmarried, irregular meal pattern, lack of physical exercise, chronic diseases, irregular napping pattern and short sleep were positively associated with SDS. Besides, female, younger age, unmarried, irregular meal pattern, lack of physical exercise, chronic diseases, short sleep and poor mental health were positively associated with MDD. The cross-sectional nature of the study limited causal inferences. The prevalence of MDD in Guangdong province in 2021 is higher than in mainland China in 2013. Given the higher prevalence of SDS, and high burden of depression, it also offers valuable opportunities for policymakers and health-care professionals to explore the factors affecting mental health in Guangdong province, especially during the COVID-19 epidemic.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI5应助xx采纳,获得10
刚刚
量子星尘发布了新的文献求助10
刚刚
1秒前
chaos关注了科研通微信公众号
2秒前
hiha完成签到 ,获得积分10
2秒前
3秒前
加油鸭鸭鸭完成签到,获得积分10
4秒前
4秒前
eds完成签到,获得积分10
5秒前
范麒如完成签到,获得积分10
5秒前
6秒前
量子星尘发布了新的文献求助10
6秒前
7秒前
shaoming完成签到,获得积分10
7秒前
ff发布了新的文献求助10
7秒前
8秒前
浮生完成签到 ,获得积分10
8秒前
fsm关闭了fsm文献求助
9秒前
初夏发布了新的文献求助10
9秒前
drliaowu完成签到 ,获得积分10
9秒前
maox1aoxin应助animages采纳,获得50
10秒前
杋困了完成签到 ,获得积分10
10秒前
10秒前
10秒前
Hus11221完成签到,获得积分10
10秒前
贝果小脑袋完成签到,获得积分10
11秒前
易川发布了新的文献求助10
11秒前
102755完成签到,获得积分10
11秒前
量子星尘发布了新的文献求助10
12秒前
12秒前
12秒前
鸭嗦饼干发布了新的文献求助10
13秒前
搜集达人应助巫马白亦采纳,获得10
13秒前
桐桐应助等待的雪碧采纳,获得10
13秒前
隐形曼青应助现代的涵雁采纳,获得10
13秒前
14秒前
无敌暴龙战神完成签到 ,获得积分10
15秒前
哈尼完成签到,获得积分10
16秒前
16秒前
瓜瓜发布了新的文献求助10
16秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
Neuromuscular and Electrodiagnostic Medicine Board Review 1000
Statistical Methods for the Social Sciences, Global Edition, 6th edition 600
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
The Insulin Resistance Epidemic: Uncovering the Root Cause of Chronic Disease  500
Walter Gilbert: Selected Works 500
An Annotated Checklist of Dinosaur Species by Continent 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3662735
求助须知:如何正确求助?哪些是违规求助? 3223515
关于积分的说明 9752041
捐赠科研通 2933470
什么是DOI,文献DOI怎么找? 1606108
邀请新用户注册赠送积分活动 758266
科研通“疑难数据库(出版商)”最低求助积分说明 734771