Evidence map›Paper›PMID 30326863›Full record

ArticleBMC psychiatry2018

The burden of depressive disorders in South Asia, 1990-2016: findings from the global burden of disease study.

Felix Akpojene Ogbo, Sruthi Mathsyaraja, Rajeendra Kashyap Koti, Janette Perz, Andrew Page

Abstract read
In one paragraph

Article in BMC psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed.

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  17. Depression and Its Phytopharmacotherapy-A Narrative Review.International journal of molecular sciences · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Felix Akpojene OgboTranslational Health Research Institute (THRI), School of Medicine, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2571, Australia. felgbo@yahoo.co.uk.ORCID 0000-0001-5159-2315
Sruthi MathsyarajaTranslational Health Research Institute (THRI), School of Medicine, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2571, Australia.
Rajeendra Kashyap KotiTranslational Health Research Institute (THRI), School of Medicine, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2571, Australia.
Janette PerzTranslational Health Research Institute (THRI), School of Medicine, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2571, Australia.
Andrew PageTranslational Health Research Institute (THRI), School of Medicine, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2571, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, depressive disorders are one of the most common forms of mental illness. Using data from the most recent Global Burden of Disease, Injury, and Risk Factor Study 2016 (GBD 2016), we aimed to describe the burden of disease attributable to depressive disorders in terms of prevalence and disability-adjusted life years (DALYs) in South Asia countries (namely India, Pakistan, Bangladesh, Nepal and Bhutan).

methodsGBD 2016 used epidemiological data on depressive disorders (major depression and dysthymia) from South Asia and a Bayesian meta-regression tool (DisMod-MR 2.1) to model prevalence and DALYs of depressive disorders by age, sex, country and year. DALYs were calculated from the years lived with disability (YLDs), derived from the prevalence of depressive disorders and disability weights, obtained from a community and internet-based surveys. The analyses adjusted for comorbidity, data sources and multiple modelling, and estimates were presented with 95% uncertainty intervals (UI).

resultsIn 2016, the age-standardised prevalence of depressive disorders in South Asia was 3.9% (95% UI: 3.6-4.2%), 4.4% (95% UI: 4.4-4.8%) in Bangladesh, 3.9% (95% UI: 3.6-4.2%) in India, 3.0% (95% UI: 2.8-3.3%) in Pakistan, 4.0% (95% UI: 3.7-4.3%) in Nepal and 3.7% (95% UI: 3.4-4.1%) in Bhutan. In South Asia, depressive disorders accounted for 9.8 million DALYs (95% UI: 6.8-13.2 million) or 577.8 (95% UI: 399.9-778.9) per 100,000 population in 2016. Of these, major depressive disorders (MDD) accounted for 7.8 million DALYs (95% UI: 5.3-10.5 million). India generated the largest numbers of DALYs due to depressive disorders and MDD, followed by Bangladesh and Pakistan. DALYs due to depressive disorders were highest in females and older adults (75-79 years) across all countries.

conclusionOur findings show the substantial public health burden of depressive disorders in South Asian populations and healthcare systems. Given the scale of depressive disorders, improvement in overall population health is possible if South Asian countries prioritise the prevention and treatment of depressive disorders.

Indexed as

AgedBangladeshFemaleGlobal Burden of DiseaseGlobal HealthHumansIndiaMajor Depressive DisorderMaleMiddle AgedNepalPakistanPersons with DisabilitiesRisk FactorsDepressionDepressive disordersGlobal Burden of DiseaseSouth Asia

Identifiers

PMID30326863
PMCPMC6192293

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.