Evidence map›Paper›PMID 42564067›Full record

ArticleNature. Mental health2026

Intersecting trajectories of childhood ADHD, socioeconomic deprivation and distinct multimorbidity patterns in women.

Naomi Wilson, Kirstie O'Hare, Helen Minnis, Michael Fleming, Ian Kelleher, Ruchika Gajwani

Abstract read
In one paragraph

Article in Nature. Mental health, 2026. 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
–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

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

6 authors.

Naomi WilsonCentre for Developmental Adversity and Resilience, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.ORCID 0000-0002-9440-983X
Kirstie O'HareCentre for Clinical Brain Sciences, School of Medicine, University of Edinburgh, Edinburgh, UK.
Helen MinnisCentre for Developmental Adversity and Resilience, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.ORCID 0000-0002-2377-8945
Michael FlemingDepartment of Public Health, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Ian KelleherCentre for Clinical Brain Sciences, School of Medicine, University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-1484-651X
Ruchika GajwaniCentre for Developmental Adversity and Resilience, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

The long-term consequences of attention deficit hyperactivity disorder (ADHD) in females remain underrecognized both in research and clinical practice. Multimorbidity (two or more long-term conditions) is increasingly viewed as a key outcome yet its prevalence, complexity and sociodemographic determinants are understudied in this group. Here, in this longitudinal cohort study, we examined the combined influence of childhood socioeconomic deprivation and ADHD diagnosis on multimorbidity risk in women in early adulthood (that is, aged 18-32 years) and used latent class analysis to explore clustering patterns. Three findings emerged: females with childhood ADHD had a significantly higher risk of adult multimorbidity; childhood ADHD and socioeconomic deprivation increased this risk both in isolation and synergistically, with 39% of the multimorbidity burden attributable to their interaction; and distinct multimorbidity clusters emerged, with the most adverse marked by psychiatric complexity. These results highlight girls with ADHD from disadvantaged backgrounds as a high-risk group requiring earlier, integrated care.

Indexed as

Preventive medicineRisk factors

Identifiers

PMID42564067
PMCPMC13441990

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.