Evidence map›Paper›PMID 37634091›Full record

ArticleEuropean journal of public health2023

Ethnic differences in multimorbidity after accounting for social-economic factors, findings from The Health Survey for England.

Linda Ng Fat, Priyanka Patil, Jennifer S Mindell, Logan Manikam, Shaun Scholes

Abstract read
In one paragraph

Article in European journal of public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

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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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. A Co-Produced Stakeholder Workshop to Identify Key Time Points and Targets for Life-Course Prevention of Multiple Long-Term Conditions.Health expectations : an international journal of public participation in health care and health policy · 2025
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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

5 authors.

Linda Ng FatHealth and Social Surveys Group, Research Department of Epidemiology and Public Health, University College London (UCL), London, UK.ORCID 0000-0002-7282-9526
Priyanka PatilHealth and Social Surveys Group, Research Department of Epidemiology and Public Health, University College London (UCL), London, UK.ORCID 0000-0001-8663-6023
Jennifer S MindellHealth and Social Surveys Group, Research Department of Epidemiology and Public Health, University College London (UCL), London, UK.ORCID 0000-0002-7604-6131
Logan ManikamHealth and Social Surveys Group, Research Department of Epidemiology and Public Health, University College London (UCL), London, UK.
Shaun ScholesHealth and Social Surveys Group, Research Department of Epidemiology and Public Health, University College London (UCL), London, UK.

Funding

NHSNHS England
6 · The paper itself

Abstract

backgroundSocial-economic factors and health behaviours may be driving variation in ethnic health inequalities in multimorbidity including among distinct ethnic groups.

methodsUsing the cross-sectional nationally representative Health Surveys for England 2011-18 (N = 54 438, aged 16+), we performed multivariable logistic regression on the odds of having general multimorbidity (≥2 longstanding conditions) by ethnicity [British White (reference group), White Irish, Other White, Indian, Pakistani, Bangladeshi, Chinese, African, Caribbean, White mixed, Other Mixed], adjusting for age, sex, education, area deprivation, obesity, smoking status and survey year. This was repeated for cardiovascular multimorbidity (N = 37 148, aged 40+: having ≥2 of the following: self-reported diabetes, hypertension, heart attack or stroke) and multiple cardiometabolic risk biomarkers (HbA1c ≥6.5%, raised blood pressure, total cholesterol ≥5mmol/L).

resultsTwenty percent of adults had general multimorbidity. In fully adjusted models, compared with the White British majority, Other White [odds ratio (OR) = 0.63; 95% confidence interval (CI) 0.53-0.74], Chinese (OR = 0.58, 95% CI 0.36-0.93) and African adults (OR = 0.54, 95% CI 0.42-0.69), had lower odds of general multimorbidity. Among adults aged 40+, Pakistani (OR = 1.27, 95% CI 0.97-1.66; P = 0.080) and Bangladeshi (OR = 1.75, 95% CI 1.16-2.65) had increased odds, and African adults had decreased odds (OR = 0.63, 95% CI 0.47-0.83) of general multimorbidity. Risk of cardiovascular multimorbidity was higher among Indian (OR = 3.31, 95% CI 2.56-4.28), Pakistani (OR = 3.48, 95% CI 2.52-4.80), Bangladeshi (OR = 3.67, 95% CI 1.98-6.78), African (OR = 1.61, 95% CI 1.05-2.47), Caribbean (OR = 2.18, 95% CI 1.59-2.99) and White mixed (OR = 1.98, 95% CI 1.14-3.44) adults. Indian adults were also at risk of having multiple cardiometabolic risk biomarkers.

conclusionEthnic inequalities in multimorbidity are independent of social-economic factors. Ethnic minority groups are particularly at risk of cardiovascular multimorbidity, which may be exacerbated by poorer management of cardiometabolic risk requiring further investigation.

Indexed as

Cardiovascular DiseasesEthnicityAdultBiomarkersCross-Sectional StudiesEconomic FactorsEnglandHealth SurveysHumansMinority GroupsMultimorbidityBiomarkers

Identifiers

PMID37634091
PMCPMC10710338

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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.