Evidence map›Paper›PMID 31383844›Full record

ArticleTranslational psychiatry2019

Investigating the association between body fat and depression via Mendelian randomization.

Maria S Speed, Oskar H Jefsen, Anders D Børglum, Doug Speed, Søren D Østergaard

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 2 pooled it
13.6field-weighted citation impact, top 1% 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

81 citing papers in PubMed, 2 syntheses or guidelines pooled it, 148 citations in OpenAlex.

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  10. Food Addiction Is Strongly Associated With Psychopathology and Reduced Psychological Well-Being Among Adults Irrespective of BMI.European eating disorders review : the journal of the Eating Disorders Association · 2026
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21 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Maria S SpeedBioinformatics Research Centre, Aarhus University, Aarhus, Denmark.
Oskar H JefsenDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0002-5831-5158
Anders D BørglumThe Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.ORCID http://orcid.org/0000-0001-8627-7219
Doug SpeedBioinformatics Research Centre, Aarhus University, Aarhus, Denmark.
Søren D ØstergaardDepartment of Affective Disorders, Aarhus University, Aarhus, Denmark. soeoes@rm.dk.ORCID http://orcid.org/0000-0002-8032-6208
Aarhus University · DK

Funding

5/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109514 · NIMH · CARDIFF UNIVERSITY · PI O'DONOVAN, MICHAEL · 2016 to 2020
$2.9M
NIMH NIH HHS U01 MH109514
6 · The paper itself

Abstract

Obesity and depression are major public health concerns that are both associated with substantial morbidity and mortality. There is a considerable body of literature linking obesity to the development of depression. Recent studies using Mendelian randomization indicate that this relationship is causal. Most studies of the obesity-depression association have used body mass index as a measure of obesity. Body mass index is defined as weight (measured in kilograms) divided by the square of height (meters) and therefore does not distinguish between the contributions of fat and nonfat to body weight. To better understand the obesity-depression association, we conduct a Mendelian randomization study of the relationship between fat mass, nonfat mass, height, and depression, using genome-wide association study results from the UK Biobank (n = 332,000) and the Psychiatric Genomics Consortium (n = 480,000). Our findings suggest that both fat mass and height (short stature) are causal risk factors for depression, while nonfat mass is not. These results represent important new knowledge on the role of anthropometric measures in the etiology of depression. They also suggest that reducing fat mass will decrease the risk of depression, which lends further support to public health measures aimed at reducing the obesity epidemic.

Indexed as

Body Mass IndexPolymorphism, Single NucleotideAdipose TissueAdultAgedDepressive DisorderFemaleGenome-Wide Association StudyHumansMagnetic Resonance ImagingMaleMendelian Randomization AnalysisMiddle AgedObesityRisk Factors

Identifiers

PMID31383844
PMCPMC6683191
OpenAlexW2964602815

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.