Evidence map›Paper›PMID 31813773›Full record

Observational studyThe Lancet. Public health2020

Premature mortality attributable to socioeconomic inequality in England between 2003 and 2018: an observational study.

Dan Lewer, Wikum Jayatunga, Robert W Aldridge, Chantal Edge, Michael Marmot, Alistair Story, Andrew Hayward

Erratum issuedAbstract readObservational Study
In one paragraph

Observational study in The Lancet. Public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 107 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed, 3 pooled it
–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

107 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  9. For reducing premature adult mortality in India, education matters more than income.Proceedings of the National Academy of Sciences of the United States of America · 2026
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47 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Dan LewerUCL Collaborative Centre for Inclusion Health, University College London, London, UK; Institute for Health Informatics, University College London, London, UK; Institute of Epidemiology and Health Care, University College London, London, UK. Electronic address: d.lewer@ucl.ac.uk.
Wikum JayatungaInstitute for Health Informatics, University College London, London, UK.
Robert W AldridgeUCL Collaborative Centre for Inclusion Health, University College London, London, UK; Institute for Health Informatics, University College London, London, UK.
Chantal EdgeUCL Collaborative Centre for Inclusion Health, University College London, London, UK; Institute of Epidemiology and Health Care, University College London, London, UK.
Michael MarmotInstitute of Epidemiology and Health Care, University College London, London, UK.
Alistair StoryUCL Collaborative Centre for Inclusion Health, University College London, London, UK; Find and Treat, University College London Hospitals, London, UK.
Andrew HaywardUCL Collaborative Centre for Inclusion Health, University College London, London, UK; Institute of Epidemiology and Health Care, University College London, London, UK.

Funding

Department of Health DRF-2018-11-ST2-016Department of Health DRF-­2018-­11-­ST2-­016Department of Health ICA-­CDRF-­2017-­03-­006Wellcome TrustWellcome Trust 206602/Z/17/Z
6 · The paper itself

Abstract

backgroundLow socioeconomic position is consistently associated with increased risk of premature death. The aim of this study is to measure the aggregate scale of inequality in premature mortality for the whole population of England.

methodsWe used mortality records from the UK Office for National Statistics to study all 2 465 285 premature deaths (defined as those before age 75 years) in England between Jan 1, 2003, and Dec 31, 2018. Socioeconomic position was defined using deciles of the Index of Multiple Deprivation: a measure of neighbourhood income, employment, education levels, crime, health, availability of services, and local environment. We calculated the number of expected deaths by applying mortality in the least deprived decile to other deciles, within the strata of age, sex, and time. The mortality attributable to socioeconomic inequality was defined as the difference between the observed and expected deaths. We also used life table modelling to estimate years-of-life lost attributable to socioeconomic inequality.

findings35·6% (95% CI 35·3-35·9) of premature deaths were attributable to socioeconomic inequality, equating to 877 082 deaths, or one every 10 min. The biggest contributors were ischaemic heart disease (152 171 excess deaths), respiratory cancers (111 083) and chronic obstructive pulmonary disease (83 593). The most unequal causes of death were tuberculosis, opioid use, HIV, psychoactive drugs use, viral hepatitis, and obesity, each with more than two-thirds attributable to inequality. Inequality was greater among men and peaked in early childhood and at age 40-49 years. The proportion of deaths attributable to inequality increased during the study period, particularly for women, because mortality rates among the most deprived women (excluding cardiovascular diseases) plateaued, and for some diseases increased. A mean of 14·4 months of life before age 75 years are lost due to socioeconomic inequality.

interpretationOne in three premature deaths are attributable to socioeconomic inequality, making this our most important public health challenge. Interventions that address upstream determinants of health should be prioritised.

fundingNational Institute of Health Research; Wellcome Trust.

Indexed as

Health Status DisparitiesAdolescentAdultAgedChildChild, PreschoolEnglandFemaleHumansInfantInfant, NewbornMaleMiddle AgedMortality, PrematureRisk FactorsSocioeconomic Factors

Identifiers

PMID31813773
PMCPMC7098478

What OpenQuestion holds

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LicenceCC BY
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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.