Evidence map›Paper›PMID 42746255›Full record

ArticleInternational journal of public health2026

Deaths of despair in England, 2014-2022: trends by sex and socioeconomic deprivation before and after COVID-19.

Steven Wyatt, Jonathan Spencer, Paul Seamer, Andrew Jones, Alison Turner, Mai Stafford, Kathryn Marszalek, Mohammed Amin Mohammed

Abstract read
In one paragraph

Article in International journal of public 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.

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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

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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

8 authors.

Steven WyattThe Strategy Unit, Birmingham, United Kingdom.
Jonathan SpencerThe Strategy Unit, Birmingham, United Kingdom.
Paul SeamerThe Strategy Unit, Birmingham, United Kingdom.
Andrew JonesThe Strategy Unit, Birmingham, United Kingdom.
Alison TurnerThe Strategy Unit, Birmingham, United Kingdom.
Mai StaffordThe Health Foundation, London, United Kingdom.
Kathryn MarszalekThe Health Foundation, London, United Kingdom.
Mohammed Amin MohammedThe Strategy Unit, Birmingham, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Deaths of despair-alcohol, substance use, suicide and non-organic mental health related-have attracted international attention, but English evidence remains limited. We examined trends in deaths of despair in England (2014-2022), including COVID-19 impacts and inequalities by sex and deprivation. Methods: We analysed all registered deaths in England (2014-2022), identifying deaths of despair by ICD-10 code. Age-standardised mortality rates, years of life lost, and inequalities by sex and deprivation were calculated. Log-linear regression estimated pre-pandemic trends and deviations during COVID-19. Results: There were 133,600 deaths of despair (2.9% of all deaths). Age-standardised mortality rates rose 33%, from 22.6 to 30.1 per 100,000. Mortality was consistently higher in men and deprived areas, with widening inequalities. During COVID-19, mortality temporarily exceeded the pre-pandemic trend, particularly among women and deprived groups, before returning to trend. Deaths of despair accounted for a rising share of years of potential life lost (13.9%-16.6%). Conclusion: Deaths of despair increased substantially in England, contributing a growing burden of premature mortality. Persistent, widening inequalities highlight a public health challenge requiring surveillance and interventions addressing immediate causes and social determinants.

Indexed as

COVID-19Social DeprivationSuicideAdolescentAdultAgedAged, 80 and overEnglandFemaleHealth Status DisparitiesHumansMaleMiddle AgedSex FactorsSocioeconomic Disparities in HealthSocioeconomic FactorsCOVID-19 pandemicdeaths of despairhealth inequalitiesmortality trendssocioeconomic deprivation

Identifiers

PMID42746255
PMCPMC13575742

What OpenQuestion holds

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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.