Evidence map›Paper›PMID 30620759›Full record

ArticlePloS one2019

Depression and obesity, data from a national administrative database study: Geographic evidence for an epidemiological overlap.

Jean-Christophe Chauvet-Gelinier, Adrien Roussot, Jonathan Cottenet, Marie-Claude Brindisi, Jean-Michel Petit, Bernard Bonin, Bruno Vergès, Catherine Quantin

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  11. Elements behind sedentary lifestyles and unhealthy eating habits in individuals with severe obesity.International journal of qualitative studies on health and well-being · 2022
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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

8 authors.

Jean-Christophe Chauvet-GelinierPsychiatry Unit, Department of Neurosciences, Dijon University Hospital, France.ORCID 0000-0001-8530-7148
Adrien RoussotBiostatistics and Bioinformatics (DIM), Dijon University Hospital, University of Burgundy-Franche-Comté, Dijon, France.
Jonathan CottenetBiostatistics and Bioinformatics (DIM), Dijon University Hospital, University of Burgundy-Franche-Comté, Dijon, France.
Marie-Claude BrindisiINSERM Research Center 866, Dijon, France.
Jean-Michel PetitINSERM Research Center 866, Dijon, France.
Bernard BoninPsy-DREPI Laboratory, EA7458, University of Burgundy-Franche-Comté, Dijon, France.
Bruno VergèsINSERM Research Center 866, Dijon, France.
Catherine QuantinBiostatistics and Bioinformatics (DIM), Dijon University Hospital, University of Burgundy-Franche-Comté, Dijon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression and obesity are two major conditions with both psychological and somatic burdens. Some data suggest strong connections between depression and obesity and more particularly associated prevalence of both disorders. However, little is known about the geographical distribution of these two diseases. This study aimed to determine if there is spatial overlap between obesity and depression using data from the entire French territory.

methodsData for 5,627 geographic codes for metropolitan France were collected from the two national hospital databases (PMSI-MCO and RIM-P) for the year 2016. We identified people who were depressed, obese or both registered in the two public medico-administrative databases, and we assessed their location. In addition, a multivariable analysis was performed in order to determine geographic interactions between obesity and depression after controlling for age, sex, environmental and socio-economic factors (social/material deprivation, urbanicity/rurality).

results1,045,682 people aged 18 years and older were identified. The mapping analysis showed several cold and hot regional clusters of coinciding obesity and depression. The multivariable analysis demonstrated significant geographic interactions, with an increasing probability of finding a high prevalence of obesity in regions with major depression (OR 1.29 95% CI 1.13-1.49, p = 0.0002) and an increased probability of finding a high prevalence of depression in regions with a high ration of obesity (OR 1.32, 95% CI 1.15-1.52, p<0.0001).

conclusionOur study confirms the significant bidirectional relationships between obesity and depression at a group level. French geographic patterns reveal a partial overlap between obesity and depression, suggesting these two diseases can be included in a common approach. Further studies should be done to increase the understanding of this complex comorbidity.

Indexed as

AdultAgedComorbidityDatabases, FactualFemaleFranceGeographyHumansMajor Depressive DisorderMaleMiddle AgedMultivariate AnalysisObesityPrevalenceRisk Factors

Identifiers

PMID30620759
PMCPMC6324832

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Registered trials

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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.