Literature DB >> 27528098

Social correlates of mental, neurological, and substance use disorders in China and India: a review.

Hui G Cheng1, Rahul Shidhaye2, Fiona Charlson3, Fei Deng1, Tanica Lyngdoh4, Shengnan Chen1, Sharmishtha Nanda5, Kimberly Lacroix6, Amanda Baxter7, Harvey Whiteford3.   

Abstract

Understanding the epidemiological profiles of mental, neurological, and substance use disorders provides opportunities for the identification of high-risk population subgroups and for the development of effective country-specific prevention and intervention strategies. Guided by the Conceptual Framework for Action on the Social Determinants of Health by WHO we reviewed the literature to examine the association between a range of social correlates (eg, sex, age, education, income, urbanicity, marital status, and regional differences) and mental, neurological, and substance use disorders in China and India, the most populous countries in the world. We looked for papers on mental, neurological, and substance use disorders with location identifiers and socioeconomic correlates published between 1990 and 2015 and our search found 65 relevant studies from China and 29 from India. Several association patterns between social correlates and mental, neurological, and substance use disorders were not consistent with those reported in high-income countries, including a high concentration of middle-aged men with alcohol use disorders in China and to a lesser extent in India, and a positive association between being married and depression among women in India. Consistent with previous global reports, low education and poverty were associated with higher occurrence of dementia in both China and India, although there is evidence of an interaction between education and income in the risk for dementia in China. Large variations across regions and ethnic groups were consistently documented in China. These unique correlation patterns for mental, neurological, and substance use disorders identified in China and India emphasise the importance of understanding the local social context when planning targeted strategies to reduce the burden of these disorders. High-quality, up-to-date information about the constantly changing pattern of societal factors correlated with mental, neurological, and substance use disorders is urgently needed to help reduce the large and increasing negative social and economic effects that these conditions are having in China, India, and other low-income and middle-income countries.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27528098     DOI: 10.1016/S2215-0366(16)30166-3

Source DB:  PubMed          Journal:  Lancet Psychiatry        ISSN: 2215-0366            Impact factor:   27.083


  16 in total

1.  Klotho, BDNF, NGF, GDNF Levels and Related Factors in Withdrawal Period in Chronic Cannabinoid Users.

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2.  Regional years of life lost, years lived with disability, and disability-adjusted life-years for severe mental disorders in Guangdong Province, China: a real-world longitudinal study.

Authors:  Wenyan Tan; Lichang Chen; Yuantao Hao; Fujun Jia; Xiao Lin; Yuqin Zhang; Junyan Xi; Brian J Hall; Jing Gu; Shibin Wang; Haicheng Lin
Journal:  Glob Health Res Policy       Date:  2022-06-20

3.  Evaluating the Risk of Suicide and Violence in Severe Mental Illness: A Feasibility Study of Two Risk Assessment Tools (OxMIS and OxMIV) in General Psychiatric Settings.

Authors:  Gabrielle Beaudry; Manuel Canal-Rivero; Jianjun Ou; Jaskiran Matharu; Seena Fazel; Rongqin Yu
Journal:  Front Psychiatry       Date:  2022-06-30       Impact factor: 5.435

Review 4.  Social Epidemiology and Global Mental Health: Expanding the Evidence from High-Income to Low- and Middle-Income Countries.

Authors:  Joanna Maselko
Journal:  Curr Epidemiol Rep       Date:  2017-04-18

5.  Prevalence of Depression in the Community from 30 Countries between 1994 and 2014.

Authors:  Grace Y Lim; Wilson W Tam; Yanxia Lu; Cyrus S Ho; Melvyn W Zhang; Roger C Ho
Journal:  Sci Rep       Date:  2018-02-12       Impact factor: 4.996

6.  Current needs for the improved management of depressive disorder in community healthcare centres, Shenzhen, China: a view from primary care medical leaders.

Authors:  Kendall Searle; Grant Blashki; Ritsuko Kakuma; Hui Yang; Yuanlin Zhao; Harry Minas
Journal:  Int J Ment Health Syst       Date:  2019-06-28

7.  The burden of mental disorders across the states of India: the Global Burden of Disease Study 1990-2017.

Authors: 
Journal:  Lancet Psychiatry       Date:  2019-12-23       Impact factor: 27.083

8.  Predictors, help-seeking behaviour and treatment coverage for depression in adults in Sehore district, India.

Authors:  Rahul Shidhaye; Tanica Lyngdoh; Vaibhav Murhar; Sandesh Samudre; Thomas Krafft
Journal:  BJPsych Open       Date:  2017-09-11

9.  Uncovering the hidden impacts of inequality on mental health: a global study.

Authors:  Shoukai Yu
Journal:  Transl Psychiatry       Date:  2018-05-18       Impact factor: 6.222

10.  Prevalence and associated factors of mental disorders in the nationwide primary care population in Latvia: a cross-sectional study.

Authors:  Elmars Rancans; Lubova Renemane; Anda Kivite-Urtane; Douglas Ziedonis
Journal:  Ann Gen Psychiatry       Date:  2020-04-07       Impact factor: 3.455

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