Suppr超能文献

印度抑郁障碍的患病率及其对社会经济的影响:多地点基于人群的横断面研究。

Prevalence and socioeconomic impact of depressive disorders in India: multisite population-based cross-sectional study.

机构信息

Department of Epidemiology, Centre for Public Health, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, India.

Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, India.

出版信息

BMJ Open. 2019 Jun 27;9(6):e027250. doi: 10.1136/bmjopen-2018-027250.

Abstract

OBJECTIVES

The National Mental Health Survey (NMHS) of India was undertaken with the objectives of (1) estimating the prevalence and patterns of various mental disorders in representative Indian population and (2) identifying the treatment gap, healthcare utilisation, disabilities and impact of mental disorders. This paper highlights findings pertaining to depressive disorders (DD) from the NMHS.

DESIGN

Multisite population-based cross-sectional study. Subjects were selected by multistage stratified random cluster sampling technique with random selection based on probability proportionate to size at each stage.

SETTING

Conducted across 12 states in India (representing varied cultural and geographical diversity), employing uniform, standardised and robust methodology.

PARTICIPANTS

A total of 34 802 adults (18 years) were interviewed.

MAIN OUTCOME MEASURE

Prevalence of depressive disorders (ICD-10 DCR) diagnosed using Mini International Neuropsychiatric Interview V.6.0.

RESULTS

The weighted prevalence of lifetime and current DD was 5.25% (95% CI: 5.21% to 5.29%, n=34 802) and 2.68% (95% CI: 2.65% to 2.71%, n=34 802), respectively. Prevalence was highest in the 40-59 age groups (3.6%, n=10 302), among females (3.0%, n=18 217) and those residing in cities with population >1 million (5.2%, n=4244). Age, gender, place of residence, education and household income were found to be significantly associated with current DD. Nearly two-thirds of individuals with DD reported disability of varying severity, and the treatment gap for depression in the study population was 79.1%. On an average, households spent INR1500/month (~US$ 23.0/month) towards care of persons affected with DD.

CONCLUSION

Around 23 million adults would need care for DD in India at any given time. Since productive population is affected most, DD entails considerable socioeconomic impact at individual and family levels. This is a clarion call for all the concerned stakeholders to scale up services under National Mental Health Programme in India along with integrating care for DD with other ongoing national health programmes.

摘要

目的

印度国家心理健康调查(NMHS)旨在:(1) 评估代表性印度人群中各种精神障碍的流行率和模式;(2) 确定治疗差距、医疗保健利用、残疾和精神障碍的影响。本文重点介绍 NMHS 中与抑郁障碍 (DD) 相关的发现。

设计

多地点基于人群的横断面研究。通过多阶段分层随机聚类抽样技术选择受试者,每个阶段均采用基于大小的概率随机选择。

地点

在印度的 12 个邦进行(代表不同的文化和地理多样性),采用统一、标准化和稳健的方法。

参与者

共对 34802 名成年人(18 岁)进行了访谈。

主要观察指标

使用 Mini International Neuropsychiatric Interview V.6.0 诊断的抑郁障碍(ICD-10 DCR)的患病率。

结果

终生和现患 DD 的加权患病率分别为 5.25%(95%CI:5.21%至 5.29%,n=34802)和 2.68%(95%CI:2.65%至 2.71%,n=34802)。40-59 岁年龄组(3.6%,n=10302)、女性(3.0%,n=18217)和居住在人口超过 100 万的城市的人群中患病率最高(5.2%,n=4244)。年龄、性别、居住地、教育程度和家庭收入与现患 DD 显著相关。近三分之二的 DD 患者报告存在不同严重程度的残疾,研究人群中抑郁治疗缺口为 79.1%。平均而言,家庭每月花费 INR1500(约合 23.0 美元)用于照顾受 DD 影响的人。

结论

在任何给定时间,印度约有 2300 万成年人需要 DD 护理。由于受影响的主要是生产性人口,因此 DD 会给个人和家庭带来相当大的社会经济影响。这是向所有相关利益攸关方发出的呼吁,要求他们根据印度国家心理健康计划扩大服务,并将 DD 护理纳入其他正在进行的国家卫生计划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e000/6609075/6d94f7c6ca4d/bmjopen-2018-027250f01.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验