Evidence map›Paper›PMID 36251507›Full record

ArticleDiabetes care2022

Early-Onset Type 2 Diabetes and Mood, Anxiety, and Stress-Related Disorders: A Genetically Informative Register-Based Cohort Study.

Shengxin Liu, Marica Leone, Jonas F Ludvigsson, Paul Lichtenstein, Soffia Gudbjörnsdottir, Mikael Landén, Sarah E Bergen, Mark J Taylor, Henrik Larsson, Ralf Kuja-Halkola and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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  14. Association of cardiometabolic multimorbidity with risk of late-life depression: a nationwide twin study.European psychiatry : the journal of the Association of European Psychiatrists · 2024
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  15. Observational
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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

11 authors at 4 institutions in 3 countries.

Shengxin LiuDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.ORCID 0000-0001-9292-8065
Marica LeoneDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.
Jonas F LudvigssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.
Paul LichtensteinDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.
Soffia GudbjörnsdottirSwedish National Diabetes Register, Centre of Registers, Gothenburg, Sweden.
Mikael LandénDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.
Sarah E BergenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.
Mark J TaylorDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.
Henrik LarssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.
Ralf Kuja-HalkolaDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.
Agnieszka ButwickaDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.
Karolinska Institutet · SECentre of Registers Vastra Gotaland · SEMedical University of Warsaw · PLÖrebro University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the association and familial coaggregation between early-onset type 2 diabetes (diagnosed before age 45 years) and mood, anxiety, and stress-related disorders and estimate the contribution of genetic and environmental factors to their co-occurrence. RESEARCH DESIGN AND

methodsThis population-based cohort study included individuals born in Sweden during 1968-1998, from whom pairs of full siblings, half-siblings, and cousins were identified. Information on diagnoses of early-onset type 2 diabetes and mood (including unipolar depression and bipolar disorder), anxiety, and stress-related disorders was obtained from the National Patient Register. Logistic and Cox regression models were used to assess the phenotypic association and familial coaggregation between type 2 diabetes and psychiatric disorders. Quantitative genetic modeling was conducted in full and maternal half-sibling pairs to estimate the relative contributions of genetic and environmental factors to the association.

resultsAmong a total of 3,061,192 individuals, 7,896 (0.3%) were diagnosed with early-onset type 2 diabetes. These individuals had higher risks of any diagnosis (odds ratio [OR] 3.62 [95% CI 3.44, 3.80]) and specific diagnosis of unipolar depression (3.97 [3.75, 4.22]), bipolar disorder (4.17 [3.68, 4.73]), anxiety (3.76 [3.54, 3.99]), and stress-related disorders (3.35 [3.11, 3.61]). Relatives of individuals with early-onset type 2 diabetes also had higher overall risks of the examined psychiatric disorders (ORs 1.03-1.57). These associations are largely explained by genetic factors (51-78%), with the rest explained by nonshared environmental factors.

conclusionsOur findings highlight the burden of mood, anxiety, and stress-related disorders in early-onset type 2 diabetes and demonstrate that shared familial liability may contribute to their co-occurrence, suggesting that in the future research investigators should aim to identify shared risk factors and ultimately refine preventive and intervention strategies.

Indexed as

Diabetes Mellitus, Type 2AnxietyAnxiety DisordersCohort StudiesHumansMiddle AgedRegistriesRisk FactorsSweden

Identifiers

PMID36251507
PMCPMC9862460
OpenAlexW4306411955

What OpenQuestion holds

Textmetadata
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.