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The burden of mental, neurological, and substance use disorders in China and India: a systematic analysis of community representative epidemiological studies

Overview of attention for article published in The Lancet, May 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
12 news outlets
blogs
2 blogs
policy
2 policy sources
twitter
17 X users
facebook
2 Facebook pages

Citations

dimensions_citation
276 Dimensions

Readers on

mendeley
338 Mendeley
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Title
The burden of mental, neurological, and substance use disorders in China and India: a systematic analysis of community representative epidemiological studies
Published in
The Lancet, May 2016
DOI 10.1016/s0140-6736(16)30590-6
Pubmed ID
Authors

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

Abstract

China and India jointly account for 38% of the world population, so understanding the burden attributed to mental, neurological, and substance use disorders within these two countries is essential. As part of the Lancet/Lancet Psychiatry China-India Mental Health Alliance Series, we aim to provide estimates of the burden of mental, neurological, and substance use disorders for China and India from the Global Burden of Disease Study 2013 (GBD 2013). In this systematic analysis for community representative epidemiological studies, we conducted systematic reviews in line with PRISMA guidelines for community representative epidemiological studies. We extracted estimates of prevalence, incidence, remission and duration, and mortality along with associated uncertainty intervals from GBD 2013. Using these data as primary inputs, DisMod-MR 2.0, a Bayesian meta-regression instrument, used a log rate and incidence-prevalence-mortality mathematical model to develop internally consistent epidemiological models. Disability-adjusted life-year (DALY) changes between 1990 and 2013 were decomposed to quantify change attributable to population growth and ageing. We projected DALYs from 2013 to 2025 for mental, neurological, and substance use disorders using United Nations population data. Around a third of global DALYs attributable to mental, neurological, and substance use disorders were found in China and India (66 million DALYs), a number greater than all developed countries combined (50 million DALYs). Disease burden profiles differed; India showed similarities with other developing countries (around 50% of DALYs attributable to non-communicable disease), whereas China more closely resembled developed countries (around 80% of DALYs attributable to non-communicable disease). The overall population growth in India explains a greater proportion of the increase in mental, neurological, and substance use disorder burden from 1990 to 2013 (44%) than in China (20%). The burden of mental, neurological, and substance use disorders is estimated to increase by 10% in China and 23% in India between 2013 and 2025. The current and projected burden of mental, neurological, and substance use disorders in China and India warrants the urgent prioritisation of programmes focused on targeted prevention, early identification, and effective treatment. China Medical Board, Bill & Melinda Gates Foundation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 338 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
India 1 <1%
Uganda 1 <1%
Unknown 335 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 54 16%
Student > Ph. D. Student 53 16%
Researcher 42 12%
Student > Bachelor 21 6%
Student > Postgraduate 20 6%
Other 59 17%
Unknown 89 26%
Readers by discipline Count As %
Medicine and Dentistry 69 20%
Psychology 39 12%
Nursing and Health Professions 27 8%
Social Sciences 27 8%
Neuroscience 10 3%
Other 57 17%
Unknown 109 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 117. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 May 2020.
All research outputs
#356,617
of 25,374,917 outputs
Outputs from The Lancet
#3,611
of 42,669 outputs
Outputs of similar age
#6,976
of 349,759 outputs
Outputs of similar age from The Lancet
#69
of 500 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 42,669 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 67.9. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 349,759 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 500 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.