Prevalence of depressive disorders and treatment in China: a cross-sectional epidemiological study

心理健康 横断面研究 医学 流行病学 精神科 人口 精神障碍患病率 重性抑郁障碍 环境卫生 老年学 内科学 病理 认知
作者
Jin Lü,Xiufeng Xu,Yueqin Huang,Tao Li,Chao Ma,Guangming Xu,Huifang Yin,Xiangdong Xu,Yanjuan Ma,Limin Wang,Zhengjing Huang,Yongping Yan,Bo Wang,Shuiyuan Xiao,Liang Zhou,Lingjiang Li,Yan Zhang,Hongguang Chen,Tingting Zhang,Jie Yan
出处
期刊:The Lancet Psychiatry [Elsevier BV]
卷期号:8 (11): 981-990 被引量:853
标识
DOI:10.1016/s2215-0366(21)00251-0
摘要

Background In China, depressive disorders have been estimated to be the second leading cause of years lived with disability. However, nationally representative epidemiological data for depressive disorders, in particular use of mental health services by adults with these disorders, are unavailable in China. The present study, part of the China Mental Health Survey, 2012–15, aims to describe the socioeconomic characteristics and the use of mental health services in people with depressive disorders in China. Methods The China Mental Health Survey was a cross-sectional epidemiological survey of mental disorders in a multistage clustered-area probability sample of adults of Chinese nationality (≥18 years) from 157 nationwide representative population-based disease surveillance points in 31 provinces across China. Trained investigators interviewed the participants with the Composite International Diagnostic Interview 3.0 to ascertain the presence of lifetime and 12-month depressive disorders according to DSM-IV criteria, including major depressive disorder, dysthymic disorder, and depressive disorder not otherwise specified. Participants with 12-month depressive disorders were asked whether they received any treatment for their emotional problems during the past 12 months and, if so, the specific types of treatment providers. The Sheehan Disability Scale (SDS) was used to assess impairments associated with 12-month depressive symptoms. Data-quality control procedures included logic check by computers, sequential recording check, and phone-call check by the quality controllers, and reinterview check by the psychiatrists. Data were weighted according to the age–sex–residence distribution data from China's 2010 census population survey to adjust for differential probabilities of selection and differential response, as well as to post-stratify the sample to match the population distribution. Findings 28 140 respondents (12 537 [44·6%] men and 15 603 [55·4%] women) completed the survey between July 22, 2013, and March 5, 2015. Ethnicity data (Han or non-Han) were collected for only a subsample. Prevalence of any depressive disorders was higher in women than men (lifetime prevalence odds ratio [OR] 1·44 [95% CI 1·20–1·72] and 12-month prevalence OR 1·41 [1·12–1·78]), in unemployed people than employed people (lifetime OR 2·38 [95% CI 1·68–3·38] and 12-month OR 2·80 [95% CI 1·88–4·18]), and in people who were separated, widowed, or divorced compared with those who were married or cohabiting (lifetime OR 1·87 [95% CI 1·39–2·51] and 12-month OR 1·85 [95% CI 1·40–2·46]). Overall, 574 (weighted % 75·9%) of 744 people with 12-month depressive disorders had role impairment of any SDS domain: 439 (83·6%) of 534 respondents with major depressive disorder, 207 (79·8%) of 254 respondents with dysthymic disorder, and 122 (59·9%) of 189 respondents with depressive disorder not otherwise specified. Only an estimated 84 (weighted % 9·5%) of 1007 participants with 12-month depressive disorders were treated in any treatment sector: 38 (3·6%) in speciality mental health, 20 (1·5%) in general medical, two (0·3%) in human services, and 21 (2·7%) in complementary and alternative medicine. Only 12 (0·5%) of 1007 participants with depressive disorders were treated adequately. Interpretation Depressive disorders in China were more prevalent in women than men, unemployed people than employed, and those who were separated, widowed, or divorced than people who were married or cohabiting. Most people with depressive disorders reported social impairment. Treatment rates were very low, and few people received adequate treatment. National programmes are needed to remove barriers to availability, accessibility, and acceptability of care for depression in China. Funding National Health Commission and Ministry of Science and Technology of People's Republic of China. Translation For the Chinese translation of the abstract see Supplementary Materials section.
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
wwwsy发布了新的文献求助10
刚刚
随便发布了新的文献求助10
刚刚
sunenhao发布了新的文献求助10
刚刚
1秒前
英勇的不斜完成签到,获得积分10
1秒前
亚亚呀完成签到,获得积分10
2秒前
完美世界应助受伤的铭采纳,获得10
2秒前
2秒前
3秒前
NN发布了新的文献求助10
3秒前
unyield完成签到,获得积分10
3秒前
3秒前
TTTHANKS发布了新的文献求助10
4秒前
wzy完成签到,获得积分10
4秒前
生尽证提发布了新的文献求助10
4秒前
xql完成签到,获得积分10
4秒前
5秒前
感动城发布了新的文献求助10
5秒前
D33sama完成签到,获得积分0
5秒前
大勺完成签到 ,获得积分0
6秒前
7秒前
wzy发布了新的文献求助10
7秒前
8秒前
8秒前
小龙完成签到,获得积分10
9秒前
聪明的短靴完成签到,获得积分20
9秒前
9秒前
我是老大应助大圆饼子采纳,获得10
10秒前
10秒前
10秒前
彩色天空完成签到 ,获得积分10
10秒前
ezekiet完成签到 ,获得积分10
11秒前
11秒前
Jasper应助泡泡采纳,获得10
11秒前
Li818发布了新的文献求助10
12秒前
炙热黑猫完成签到,获得积分10
12秒前
7z完成签到,获得积分10
12秒前
小羊闲庭信步完成签到,获得积分10
13秒前
大模型应助陈言川采纳,获得10
14秒前
Lyf发布了新的文献求助10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7614216
求助须知:如何正确求助?哪些是违规求助? 9189605
关于积分的说明 19689753
捐赠科研通 7187105
什么是DOI,文献DOI怎么找? 3271102
关于科研通互助平台的介绍 2434476
邀请新用户注册赠送积分活动 2266053