Evidence map›Paper›PMID 42082798›Full record

ArticleCommunications medicine2026

Relationship between socioeconomic inequality and multimorbidity progression in UK Biobank data.

Jie Zhang, Lasse Bjerg, Susanne Boel Graversen, Henrik Støvring, Christina C Dahm, Luke Johnston, Bendix Carstensen, Daniel R Witte

Abstract read
In one paragraph

Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Jie ZhangSteno Diabetes Center Aarhus, Aarhus, Denmark. jiezh@clin.au.dk.ORCID http://orcid.org/0000-0002-1985-5485
Lasse BjergSteno Diabetes Center Aarhus, Aarhus, Denmark.
Susanne Boel GraversenSteno Diabetes Center Aarhus, Aarhus, Denmark.
Henrik StøvringSteno Diabetes Center Aarhus, Aarhus, Denmark.ORCID http://orcid.org/0000-0002-5821-2351
Christina C DahmDepartment of Public Health, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0003-0481-2893
Luke JohnstonSteno Diabetes Center Aarhus, Aarhus, Denmark.
Bendix CarstensenSteno Diabetes Center Copenhagen, Copenhagen, Denmark.
Daniel R WitteSteno Diabetes Center Aarhus, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocio-economic status (SES) is associated with many adverse health outcomes, yet it remains unclear how SES relates to the rate at which people accumulate long-term conditions (LTCs) over time. We investigated this relationship between SES and disease accumulation using longitudinal disease tracking data.

methodsWe analyzed data from the UK Biobank study (n = 502,368, median age 58 years [range 37-73], 46% male at baseline) with a median follow-up of 15.8 years. We tracked accumulation of 80 specified LTCs (identified from hospital records using ICD-10 codes). Multistate models were used to estimate the transition rates between SES and incremental morbidity states (i.e., 0 to 1 LTC, 1 to 2 LTCs, until 7 to 8 + LTCs), with death as the absorbing state. SES indicators included education level, family income, Townsend Deprivation Index, and Index of Multiple Deprivation. The models were adjusted for age, sex, ethnicity, calendar year, current number of LTCs, and lifestyle factors.

resultsOver 7.5 million person-years of follow-up, we observe a clear socioeconomic gradient in disease accumulation rates. All four SES indicators are associated with accelerated morbidity progression and mortality. The socioeconomic gradient is evident across all transition stages but notably stronger for the initial transition from health to the first LTC, where the lowest income group has a 71% higher transition rate (95% CI: 1.67-1.76).

conclusionDisadvantaged SES is associated with higher rates of progression to subsequent morbidities. These findings show the lasting impact of socioeconomic disadvantages on the widening health gap in later adulthood.

Identifiers

PMID42082798
PMCPMC13346834

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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.