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中国和印度的精神、神经及物质使用障碍患病率:一项系统分析

Prevalence of mental, neurological, and substance use disorders in China and India: a systematic analysis.

作者信息

Baxter Amanda J, Charlson Fiona J, Cheng Hui G, Shidhaye Rahul, Ferrari Alize J, Whiteford Harvey A

机构信息

University of Queensland, School of Public Health, Herston, QLD, Australia; Queensland Centre for Mental Health Research, Wacol, QLD, Australia; University of Washington, Institute for Health Metrics and Evaluation, Seattle, WA, USA.

University of Queensland, School of Public Health, Herston, QLD, Australia; Queensland Centre for Mental Health Research, Wacol, QLD, Australia; University of Washington, Institute for Health Metrics and Evaluation, Seattle, WA, USA.

出版信息

Lancet Psychiatry. 2016 Sep;3(9):832-41. doi: 10.1016/S2215-0366(16)30139-0. Epub 2016 Aug 12.

Abstract

BACKGROUND

Population-representative prevalence data for mental, neurological, and substance use disorders are essential for evidence-based decision making. As a background to the China-India Mental Health Alliance Series, we aim to examine the availability of data and report prevalence for the most common mental, neurological, and substance use disorders in China and India from the Global Burden of Disease study 2013 (GBD 2013).

METHODS

In this systematic analysis, data sources were identified from GBD 2013 for the prevalence of mental, neurological, and substance use disorders in China and India published up to Dec 31, 2013. We calculated the proportion of the population represented by the data with the adjusted population coverage (APC) method adjusting for age, sex, and population size. We developed prevalence models with DisMod-MR 2.0, a Bayesian meta-regression instrument used to pool population-representative epidemiological data as part of GBD 2013. We report estimates and 95% uncertainly intervals (95% UI) for 15 mental, neurological, and substance use disorders for China and India in 1990 and 2013, and benchmark these against those for other BRICS countries (Brazil, Russia, and South Africa) in 2013.

FINDINGS

Few population-representative data were found for the disorders, with an average coverage of 15% of the population of the Chinese mainland and 1% of the population of India. For men in both China and India, major depressive disorder, anxiety disorders, and alcohol dependence were the most common mental, neurological, and substance use disorders. Prevalence of major depressive disorder was 2·2% (95% UI 1·5-2·8) in Chinese men and 3·5% (2·4-4·6) in Indian men; prevalence of anxiety disorders was 2·0% (1·1-3·2) and 1·9% (1·2-2·3), respectively. For women, anxiety disorders, major depressive disorder, and dysthymia were the most common. Prevalence of major depressive disorder was 3·3% (2·3-4·1) in Chinese women and 4·7% (95% UI 3·3-6·2) in Indian women; prevalence of anxiety disorders was 3·3% (1·6-5·3) and 4·1% (3·3-5·0), respectively. Schizophrenia was more prevalent in China (0·5%, 95% UI 0·4-0·5) than in India (0·2%; 0·2-0·2).

INTERPRETATION

More data for mental, neurological, and substance use disorders are needed for India and China but the large population and geographic scale of these countries present challenges to population-representative data collection.

FUNDING

China-India Mental Health Alliance, China Medical Board.

摘要

背景

精神、神经和物质使用障碍的具有人群代表性的患病率数据对于循证决策至关重要。作为中印精神卫生联盟系列的背景资料,我们旨在研究数据的可得性,并报告来自《2013年全球疾病负担研究》(GBD 2013)中中国和印度最常见的精神、神经和物质使用障碍的患病率。

方法

在这项系统分析中,我们从GBD 2013中确定了截至2013年12月31日已发表的关于中国和印度精神、神经和物质使用障碍患病率的数据源。我们使用调整人口覆盖率(APC)方法,对年龄、性别和人口规模进行调整,计算了数据所代表的人口比例。我们使用DisMod-MR 2.0开发患病率模型,DisMod-MR 2.0是一种贝叶斯元回归工具,用于汇总具有人群代表性的流行病学数据,作为GBD 2013的一部分。我们报告了1990年和2013年中国和印度15种精神、神经和物质使用障碍的确切估计值和95%不确定区间(95% UI),并将这些数据与2013年其他金砖国家(巴西、俄罗斯和南非)的数据进行对比。

结果

针对这些疾病,几乎没有找到具有人群代表性的数据,中国大陆人口平均覆盖率为15%,印度人口平均覆盖率为1%。在中国和印度的男性中,重度抑郁症、焦虑症和酒精依赖是最常见的精神、神经和物质使用障碍。中国男性中重度抑郁症的患病率为2.2%(95% UI 1.5 - 2.8),印度男性为3.5%(2.4 - 4.6);焦虑症的患病率分别为2.0%(1.1 - 3.2)和1.9%(1.2 - 2.3)。对于女性,焦虑症、重度抑郁症和心境恶劣是最常见的。中国女性中重度抑郁症的患病率为3.3%(2.3 - 4.1),印度女性为4.7%(95% UI 3.3 - 6.2);焦虑症的患病率分别为3.3%(1.6 - 5.3)和4.1%(3.3 - 5.0)。精神分裂症在中国的患病率(0.5%,95% UI 0.4 - 0.5)高于印度(0.2%;0.2 - 0.2)。

解读

中国和印度需要更多关于精神、神经和物质使用障碍的数据,但这些国家庞大的人口和地域规模给收集具有人群代表性的数据带来了挑战。

资助

中印精神卫生联盟,中国医学委员会。

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