Evidence map›Paper›PMID 36802082›Full record

ArticleInternational journal of methods in psychiatric research2023

Educational level and the risk of mental disorders, substance use disorders and self-harm in different age-groups: A cohort study covering 1,6 million subjects in the Stockholm region.

Baojing Li, Peter Allebeck, Bo Burstöm, Anna-Karin Danielsson, Louisa Degenhardt, Terje A Eikemo, Alize Ferrari, Ann Kristin Knudsen, Andreas Lundin, Hélio Manhica and 5 more

Open access · goldAbstract read
In one paragraph

Article in International journal of methods in psychiatric research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
6.9field-weighted citation impact, top 2% of its field
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

15 citing papers in PubMed, 25 citations in OpenAlex.

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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

15 authors at 7 institutions in 5 countries.

Baojing LiDepartment of Public Health Sciences, Stockholm University, Stockholm, Sweden.
Peter AllebeckDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Bo BurstömDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Anna-Karin DanielssonDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Louisa DegenhardtInstitute for Health Metrics and Evaluation (IHME), University of Washington, Seattle, New South Wales, USA.
Terje A EikemoCentre for Global Health Inequalities Research (CHAIN), Department of Sociology and Political Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Alize FerrariInstitute for Health Metrics and Evaluation (IHME), University of Washington, Seattle, New South Wales, USA.
Ann Kristin KnudsenCentre for Disease Burden, the Norwegian Institute of Public Health, Bergen, Norway.
Andreas LundinDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-2318-2113
Hélio ManhicaDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
John NewtonPublic Health England (PHE), Health Improvement, London, UK.
Harvey WhitefordInstitute for Health Metrics and Evaluation (IHME), University of Washington, Seattle, New South Wales, USA.
Pär FlodinDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Hugo SjöqvistDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Emilie E AgardhDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-8408-1279
Karolinska Institutet · SEThe University of Queensland · AUNorwegian Institute of Public Health · NONorwegian University of Science and Technology · NOStockholm University · SEUniversity of Exeter · GBUniversity of Washington · US

Funding

Swedish Research Council for Health, Working Life and Welfare DNR: 2016-0710Swedish Research Council for Health, Working Life and Welfare DNR: 2019-00654Swedish Research Council for Health, Working Life and Welfare DNR 4-328/2022
6 · The paper itself

Abstract

objectiveTo investigate the associations between low education and risk of mental disorders, substance use disorders and self-harm in different age-groups.

methodsAll subjects in Stockholm born between 1931 and 1990 were linked to their own or their parent's highest education in 2000 and followed-up for these disorders in health care registers 2001-2016. Subjects were stratified into four age-groups: 10-18, 19-27, 28-50, and 51-70 years. Hazard Ratios with 95% Confidence Intervals (CIs) were estimated with Cox proportional hazard models.

resultsLow education increased the risk of substance use disorders and self-harm in all age-groups. Males aged 10-18 with low education had increased risks of ADHD and conduct disorders, and females a decreased risk of anorexia, bulimia and autism. Those aged 19-27 years had increased risks of anxiety and depression, and those aged 28-50 had increased risks of all mental disorders except anorexia and bulimia in males with Hazard Ratios ranging from 1.2 (95% CIs 1.0-1.3) for bipolar disorder to 5.4 (95% CIs 5.1-5.7) for drug use disorder. Females aged 51-70 years had increased risks of schizophrenia and autism.

conclusionLow education is associated with risk of most mental disorders, substance use disorders and self-harm in all age-groups, but especially among those aged 28-50 years.

Indexed as

BulimiaMental DisordersSelf-Injurious BehaviorSubstance-Related DisordersAnorexiaCohort StudiesEducational StatusFemaleHumansMaleRisk Factorseducational levelmental disordersself-harmsubstance use disorders

Identifiers

PMID36802082
PMCPMC10698815
OpenAlexW4321327806

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.