Evidence map›Paper›PMID 35922875›Full record

ArticleInternational health2023

Social inequalities in all-cause mortality among adults with multimorbidity: a 10-year prospective study of 0.5 million Chinese adults.

Siyu Zou, Zhicheng Wang, Kun Tang

Abstract read
In one paragraph

Article in International health, 2023. 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

3 authors.

Siyu ZouVanke School of Public Health, Tsinghua University, 30 Shuangqing Road, Haidian District, Beijing 100084, China.ORCID 0000-0001-8876-2744
Zhicheng WangVanke School of Public Health, Tsinghua University, 30 Shuangqing Road, Haidian District, Beijing 100084, China.
Kun TangVanke School of Public Health, Tsinghua University, 30 Shuangqing Road, Haidian District, Beijing 100084, China.ORCID 0000-0002-5444-186X

Funding

Wellcome TrustWellcome Trust 088158/Z/09/ZWellcome Trust 104085/Z/14/ZWellcome Trust 202922/Z/16/Z
6 · The paper itself

Abstract

backgroundChinese individuals face an increase in multimorbidity, but little is known about the mortality gradients of multimorbid people in different socio-economic groups. This study measures relative and absolute socio-economic inequality in mortality among multimorbid Chinese.

methodsFor this study, the prospective China Kadoorie Biobank (CKB) enrolled 512 712 participants ages 30-79 y from 10 areas of China between 25 June 2004 and 15 July 2008. All-cause mortality was accessed with a mean follow-up period of 10 y (to 31 December 2016). Associations between multimorbidity and mortality were assessed using Cox proportional hazards models, with the relative index of inequality (RII) and slope index of inequality (SII) in mortality calculated to measure disparities.

resultsMortality risk was highest for those who had not attended formal school and with four or more long-term conditions (LTCs) (hazard ratio 3.11 [95% confidence interval {CI} 2.75 to 3.51]). Relative educational inequality was lower in participants with four or more LTCs (RII 1.92 [95% CI 1.60 to 2.30]), especially in rural areas. Absolute disparities were greater in adults with more LTCs (SII 0.18 [95% CI 0.14 to 0.21] for rural participants with three LTCs).

conclusionsWhereas the relative inequality in all-cause mortality was lower among multimorbid people, absolute inequality was greater among multimorbid men, especially in rural areas.

Indexed as

MortalityMultimorbiditySocioeconomic FactorsAdultAgedChinaEast Asian PeopleEducational StatusFemaleHealth Status DisparitiesHumansMaleMiddle AgedProspective Studiesall-cause mortalityinequalitiesmultimorbidityprospective cohort studysocio-economic status

Identifiers

PMID35922875
PMCPMC9977254

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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.