Evidence map›Paper›PMID 24648481›Full record

SynthesisInternational journal of epidemiology2014

The global prevalence of common mental disorders: a systematic review and meta-analysis 1980-2013.

Zachary Steel, Claire Marnane, Changiz Iranpour, Tien Chey, John W Jackson, Vikram Patel, Derrick Silove

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International journal of epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03762421 (Evaluating a Multi-component Group Intervention for Improving Psychological Well-being of Trainee Civil Servants in Pakistan), which is not on this map. Cited by 1,139 papers, 18 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,139citing papers in PubMed, 18 pooled it
–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.

NCT03762421 nacompletednot on this mapstarted 2018, after this paper: background citation

Evaluating a Multi-component Group Intervention for Improving Psychological Well-being of Trainee Civil Servants in Pakistan: a Randomised Controlled Study

TypeinterventionalSponsorHuman Development Research Foundation, PakistanRan2018 to 2019Enrolled240ConditionsPsychological Distress, Coping Skills, Well-being, Psychological CapitalArmsPsycho-social skills development workshops based on PM plus, Routine training induction sessions
3 · Its place in the literature

Who cites it

1,139 citing papers in PubMed, 18 syntheses or guidelines pooled it.

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1,079 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Zachary SteelPsychiatry Research and Teaching Unit, School of Psychiatry, University of New South Wales, NSW, Australia, Centre for Population Mental Health Research, South West Sydney Local District Network, Sydney, NSW, Australia, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA, Centre for Global Mental Health, London School of Hygiene and Tropical Medicine, London, UK, Centre for Mental Health, Public Health Foundation of India and Sangath, Goa, India.
Claire Marnane
Changiz Iranpour
Tien Chey
John W Jackson
Vikram Patel
Derrick Silove

Funding

Wellcome Trust 084674Wellcome Trust 091834Wellcome Trust 100714
6 · The paper itself

Abstract

backgroundSince the introduction of specified diagnostic criteria for mental disorders in the 1970s, there has been a rapid expansion in the number of large-scale mental health surveys providing population estimates of the combined prevalence of common mental disorders (most commonly involving mood, anxiety and substance use disorders). In this study we undertake a systematic review and meta-analysis of this literature.

methodsWe applied an optimized search strategy across the Medline, PsycINFO, EMBASE and PubMed databases, supplemented by hand searching to identify relevant surveys. We identified 174 surveys across 63 countries providing period prevalence estimates (155 surveys) and lifetime prevalence estimates (85 surveys). Random effects meta-analysis was undertaken on logit-transformed prevalence rates to calculate pooled prevalence estimates, stratified according to methodological and substantive groupings.

resultsPooling across all studies, approximately 1 in 5 respondents (17.6%, 95% confidence interval:16.3-18.9%) were identified as meeting criteria for a common mental disorder during the 12-months preceding assessment; 29.2% (25.9-32.6%) of respondents were identified as having experienced a common mental disorder at some time during their lifetimes. A consistent gender effect in the prevalence of common mental disorder was evident; women having higher rates of mood (7.3%:4.0%) and anxiety (8.7%:4.3%) disorders during the previous 12 months and men having higher rates of substance use disorders (2.0%:7.5%), with a similar pattern for lifetime prevalence. There was also evidence of consistent regional variation in the prevalence of common mental disorder. Countries within North and South East Asia in particular displayed consistently lower one-year and lifetime prevalence estimates than other regions. One-year prevalence rates were also low among Sub-Saharan-Africa, whereas English speaking counties returned the highest lifetime prevalence estimates.

conclusionsDespite a substantial degree of inter-survey heterogeneity in the meta-analysis, the findings confirm that common mental disorders are highly prevalent globally, affecting people across all regions of the world. This research provides an important resource for modelling population needs based on global regional estimates of mental disorder. The reasons for regional variation in mental disorder require further investigation.

Indexed as

FemaleGlobal HealthHumansMaleMental DisordersPrevalenceSex DistributionTime Factorsanxiety disordersCommon mental disordersmeta-analysismood disorderssubstance use disorderssystematic review

Identifiers

PMID24648481
PMCPMC3997379

What OpenQuestion holds

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Registered trials

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.