Evidence map›Paper›PMID 42322547›Full record

ArticleGeroScience2026

Psychosocial adversity captured by ICD-10 Z-codes and mortality risk: evidence from the UK Biobank.

May A Beydoun, Hind A Beydoun, Jack Tsai, Indira C Turney, Osorio Meirelles, Tianyi Huang, Nicole Noren Hooten, Lenore J Launer, Michele K Evans, Alan B Zonderman

Abstract read
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In one paragraph

Article in GeroScience, 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

10 authors.

May A BeydounLaboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Biomedical Research Center, 251 Bayview Blvd., Suite 100, Baltimore, MD, 21224, USA. baydounm@mail.nih.gov.ORCID http://orcid.org/0000-0002-1050-4523
Hind A BeydounU.S. Department of Veterans Affairs, VA National Center on Homelessness Among Veterans, Washington, DC, 20420, USA.
Jack TsaiU.S. Department of Veterans Affairs, VA National Center on Homelessness Among Veterans, Washington, DC, 20420, USA.
Indira C TurneyLaboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Biomedical Research Center, 251 Bayview Blvd., Suite 100, Baltimore, MD, 21224, USA.
Osorio MeirellesLaboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Biomedical Research Center, 251 Bayview Blvd., Suite 100, Baltimore, MD, 21224, USA.
Tianyi HuangLaboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Biomedical Research Center, 251 Bayview Blvd., Suite 100, Baltimore, MD, 21224, USA.
Nicole Noren HootenLaboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Biomedical Research Center, 251 Bayview Blvd., Suite 100, Baltimore, MD, 21224, USA.
Lenore J LaunerLaboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Biomedical Research Center, 251 Bayview Blvd., Suite 100, Baltimore, MD, 21224, USA.
Michele K EvansLaboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Biomedical Research Center, 251 Bayview Blvd., Suite 100, Baltimore, MD, 21224, USA.
Alan B ZondermanLaboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Biomedical Research Center, 251 Bayview Blvd., Suite 100, Baltimore, MD, 21224, USA.

Funding

NIA NIH HHS AG000513
6 · The paper itself

Abstract

Psychosocial adversity is a major determinant of health, but the mortality associations of its clinical documentation via ICD-10 Z55-Z65 codes remain unclear. We conducted a matched cohort study of UK Biobank participants with linked Hospital Episode Statistics and mortality records. Participants with ≥ 1 ICD-10 Z55-Z65 code recorded between 2010 and 2020 were propensity score-matched (1:1) to hospitalized participants without Z-codes. Mortality follow-up occurred from 2020 to 2023. Associations with all-cause mortality were estimated using Cox proportional hazards models, and cause-specific mortality using Fine-Gray subdistribution hazard models accounting for competing risks. The matched cohort included 13,604 participants (6802 with Z-codes and 6802 without). During a mean follow-up of 3.75 years, mortality rates were 50.8 versus 22.9 deaths per 1000 person-years among participants with and without Z-codes, respectively. Z-code documentation was associated with higher all-cause mortality (HR = 2.02, 95% CI = 1.82, 2.23). Elevated risks were observed across major causes of death, with the strongest association for housing and economic hardship (Z59). Hospital documentation of psychosocial adversity (ICD-10 Z55-Z65 codes) was associated with substantially higher mortality and may contribute to population health surveillance when integrated into electronic health records.

Indexed as

ICD-10 Z-codesMortalityPropensity score matchingPsychosocial adversitySocial determinants of healthUK Biobank

Identifiers

PMID42322547

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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.