Evidence map›Paper›PMID 31855265›Full record

ArticleInternational journal of epidemiology2020

Reducing socio-economic inequalities in all-cause mortality: a counterfactual mediation approach.

Jessica E Laine, Valéria T Baltar, Silvia Stringhini, Martina Gandini, Marc Chadeau-Hyam, Mika Kivimaki, Gianluca Severi, Vittorio Perduca, Allison M Hodge, Pierre-Antoine Dugué and 12 more

Erratum issuedAbstract read
In one paragraph

Article in International journal of epidemiology, 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 31 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 4 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

31 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  3. The Role of Epigenetic Clocks in Explaining Educational Inequalities in Mortality: A Multicohort Study and Meta-analysis.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
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  15. Exploring Public, Practitioner and Policymaker Perspectives of Unhealthy Lifestyle Factors in the Context of Socioeconomic Deprivation: A Qualitative Study.Health expectations : an international journal of public participation in health care and health policy · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Jessica E LaineDepartment of Epidemiology and Biostatistics, Imperial College London, London, UK.
Valéria T BaltarDepartment of Epidemiology and Biostatistics, Instituto de Saúde Coletiva, Universidade Federal Fluminense, Rio de Janeiro, Brazil.
Silvia StringhiniCenter for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.
Martina GandiniEpidemiology Unit, ASL TO3 Piedmont Region, Grugliasco, Italy.
Marc Chadeau-HyamDepartment of Epidemiology and Biostatistics, Imperial College London, London, UK.
Mika KivimakiDepartment of Epidemiology and Public Health, University College London, London, UK.
Gianluca SeveriCentre de Recherche en Épidémiologie et Santé des Populations (CESP, UMR Inserm 1018) Facultés de Medicine, Université Paris-Saclay, Université Paris-Sud, Saint-Aubin, France.
Vittorio PerducaCentre de Recherche en Épidémiologie et Santé des Populations (CESP, UMR Inserm 1018) Facultés de Medicine, Université Paris-Saclay, Université Paris-Sud, Saint-Aubin, France.
Allison M HodgeCancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia.
Pierre-Antoine DuguéCancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia.
Graham G GilesCancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia.
Roger L MilneCancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia.
Henrique BarrosDepartment of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School, Porto, Portugal.
Carlotta SacerdoteUnit of Cancer Epidemiology, AO Citta' della Salute e della Scienza-University of Turin and Center for Cancer Prevention, Turin, Italy.
Vittorio KroghEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Salvatore PanicoDepartment of Clinical Medicine and Surgery, Federico II University, Naples, Italy.
Rosario TuminoProvincial Healthcare Company (ASP) Ragusa, Vittoria, Italy.
Marcel GoldbergPopulation-based Epidemiological Cohorts Unit, INSERM UMS 11, Villejuif, France.
Marie ZinsPopulation-based Epidemiological Cohorts Unit, INSERM UMS 11, Villejuif, France.
Cyrille DelpierreLEASP, UMR 1027, Inserm-Université Toulouse III Paul Sabatier, Toulouse, France.
LIFEPATH Consortium
Paolo VineisDepartment of Epidemiology and Biostatistics, Imperial College London, London, UK.

Funding

Medical Research Council MR/M501669/1Medical Research Council MR/T032499/1
6 · The paper itself

Abstract

backgroundSocio-economic inequalities in mortality are well established, yet the contribution of intermediate risk factors that may underlie these relationships remains unclear. We evaluated the role of multiple modifiable intermediate risk factors underlying socio-economic-associated mortality and quantified the potential impact of reducing early all-cause mortality by hypothetically altering socio-economic risk factors.

methodsData were from seven cohort studies participating in the LIFEPATH Consortium (total n = 179 090). Using both socio-economic position (SEP) (based on occupation) and education, we estimated the natural direct effect on all-cause mortality and the natural indirect effect via the joint mediating role of smoking, alcohol intake, dietary patterns, physical activity, body mass index, hypertension, diabetes and coronary artery disease. Hazard ratios (HRs) were estimated, using counterfactual natural effect models under different hypothetical actions of either lower or higher SEP or education.

resultsLower SEP and education were associated with an increase in all-cause mortality within an average follow-up time of 17.5 years. Mortality was reduced via modelled hypothetical actions of increasing SEP or education. Through higher education, the HR was 0.85 [95% confidence interval (CI) 0.84, 0.86] for women and 0.71 (95% CI 0.70, 0.74) for men, compared with lower education. In addition, 34% and 38% of the effect was jointly mediated for women and men, respectively. The benefits from altering SEP were slightly more modest.

conclusionsThese observational findings support policies to reduce mortality both through improving socio-economic circumstances and increasing education, and by altering intermediaries, such as lifestyle behaviours and morbidities.

Indexed as

Health Status DisparitiesMortalityAdultCause of DeathCohort StudiesFemaleHumansMaleMiddle AgedSocioeconomic Factorsall-cause mortalitycausal inferencehealth behavioursinterventionmediationmultiple mediatorsSocio-economic inequalities

Identifiers

PMID31855265
PMCPMC7266549

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.