Evidence map›Paper›PMID 39913423›Full record

Observational studyEuropean journal of public health2025

Inequalities in health and resources between siblings of individuals with and without mental health disorder: an observational study using the French national health data system.

Thibaut Heyer, Philippe Tuppin

Abstract readObservational Study
In one paragraph

Observational study in European 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.

0numbers the graph read from it
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

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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

2 authors.

Thibaut HeyerDepartment of Economics, Université Paris‑Dauphine, PSL, LEDa, Legos, UMR CNRS 8007, Paris, France.
Philippe TuppinDirection de la Stratégie, des Etudes et des Statistiques, Caisse Nationale de L'Assurance Maladie, Paris, France.ORCID 0000-0001-5698-9215

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to describe the effect of an individual's mental health disorder on the resources of his or her adult siblings. A subject rarely analyzed on a large scale. The French National Health Data System (SNDS) collects data on individuals, including their characteristics and the types of healthcare used. A national observational sectional case-control study included individuals covered as of 1 January 2019 and receiving yearly at least one healthcare reimbursement in 2019 including their SNDS data collected from 2013 to 2018. The main variables of interest were a Complementary Universal Health Coverage (CUHC) granted to people who had limited resources. There is also a long-term disease (LTD) status qualifying also for 100% for a specific disease and an ecological index of social deprivation of the place of residence. Conditions were also collected using a specific tool including LTD and hospital diagnosis. Analyzed siblings included 280 709 cases with at least one member suffering from a mental health disorder and 561 418 randomly selected control individuals were addressed using a multilevel model. Siblings of people with mental health problems were more likely to benefit from CUHC or to live in the most deprived area. In addition, the study also highlighted the importance of parental background, which appears to be poorer than in the control population. Social inequalities are particularly marked among the siblings of a person suffering from mental health disorder. Further studies are needed to better understand and enlarge these observational results.

Indexed as

Healthcare DisparitiesHealth ResourcesHealth Status DisparitiesMental DisordersSiblingsAdultAgedCase-Control StudiesCross-Sectional StudiesFemaleFranceHumansMaleMiddle AgedSocioeconomic Factors

Identifiers

PMID39913423
PMCPMC11967900

What OpenQuestion holds

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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.