Evidence map›Paper›PMID 40012814›Full record

ArticleInternational journal of public health2025

Development of Multimorbidity Indexes Based on Common Mental Health Conditions.

Junko Kose, Emmanuelle Kesse-Guyot, Pauline Duquenne, Serge Hercberg, Pilar Galan, Mathilde Touvier, Valentina A Andreeva, Léopold K Fezeu

Abstract read
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In one paragraph

Article in International journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Junko KoseSorbonne Paris Nord University, Institut national de la santé et de la recherche médicale (INSERM)/Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE)/Conservatoire national des arts et métiers (CNAM), Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Emmanuelle Kesse-GuyotSorbonne Paris Nord University, Institut national de la santé et de la recherche médicale (INSERM)/Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE)/Conservatoire national des arts et métiers (CNAM), Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Pauline DuquenneSorbonne Paris Nord University, Institut national de la santé et de la recherche médicale (INSERM)/Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE)/Conservatoire national des arts et métiers (CNAM), Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Serge HercbergSorbonne Paris Nord University, Institut national de la santé et de la recherche médicale (INSERM)/Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE)/Conservatoire national des arts et métiers (CNAM), Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Pilar GalanSorbonne Paris Nord University, Institut national de la santé et de la recherche médicale (INSERM)/Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE)/Conservatoire national des arts et métiers (CNAM), Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Mathilde TouvierSorbonne Paris Nord University, Institut national de la santé et de la recherche médicale (INSERM)/Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE)/Conservatoire national des arts et métiers (CNAM), Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Valentina A Andreeva *Sorbonne Paris Nord University, Institut national de la santé et de la recherche médicale (INSERM)/Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE)/Conservatoire national des arts et métiers (CNAM), Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Léopold K Fezeu *Sorbonne Paris Nord University, Institut national de la santé et de la recherche médicale (INSERM)/Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE)/Conservatoire national des arts et métiers (CNAM), Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Numerous multimorbidity indexes exist, focused primarily or solely on somatic conditions. We developed mental multimorbidity indexes as epidemiological tools. Methods: Participants in the French NutriNet-Santé cohort (73.5% women; mean age = 59.5 ± 13.7 years; index development N = 20,000; index comparison N = 7,259) completed self-report questionnaires (2020-2022) regarding depressive symptoms, anxiety, eating disorders, insomnia, alcohol use disorders, cognitive difficulties, and the WHO Disability Assessment Schedule 2.0 (WHODAS 2.0). Using established cutoffs, participants were split into 2 groups for each condition. Tweedie regression analyses were performed with the 6 mental health conditions as exposures and the WHODAS 2.0 score as the outcome. Performance (C-index) and calibration of the indexes were compared with a simple count. Results: A general and a sex-specific mental multimorbidity indexes were developed; both were significantly associated with the disability score. The new indexes had slightly better predictive performance than simple counts of mental disorders. Conclusion: We developed mental multimorbidity indexes as epidemiological research tools. Future prospective studies could investigate their predictive potential regarding outcomes such as medication use, healthcare utilization, and quality of life.

Indexed as

Mental DisordersMental HealthMultimorbidityAdultAgedFemaleFranceHumansMaleMiddle AgedSurveys and Questionnairesepidemiological research toolmental disorder comorbiditymental healthmultimorbidity indexpublic health

Identifiers

PMID40012814
PMCPMC11859580

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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.