Evidence map›Paper›PMID 31874873›Full record

ArticleBMJ open2019

Journey to multimorbidity: longitudinal analysis exploring cardiovascular risk factors and sociodemographic determinants in an urban setting.

Mark Ashworth, Stevo Durbaba, David Whitney, James Crompton, Michael Wright, Hiten Dodhia

Abstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 2 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

62 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Cultural Adaptations of Healthcare Interventions: A Step-by-Step Guide.Health expectations : an international journal of public participation in health care and health policy · 2026
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  9. Letter to the editor: Reassessing predictive models for hypertension control in resource-constrained settings.International journal of cardiology. Cardiovascular risk and prevention · 2025
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2 more citing papers are in PubMed but not listed here.

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

6 authors.

Mark AshworthSchool of Population Health & Environmental Sciences, King's College London Faculty of Life Sciences and Medicine, London, UK mark.ashworth@kcl.ac.uk.ORCID 0000-0001-6514-9904
Stevo DurbabaSchool of Population Health & Environmental Sciences, King's College London Faculty of Life Sciences and Medicine, London, UK.
David WhitneySchool of Population Health & Environmental Sciences, King's College London Faculty of Life Sciences and Medicine, London, UK.
James CromptonPublic Health, London Borough of Lambeth, London, UK.
Michael WrightSchool of Population Health & Environmental Sciences, King's College London Faculty of Life Sciences and Medicine, London, UK.
Hiten DodhiaPublic Health, London Borough of Lambeth, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo study the social determinants and cardiovascular risk factors for multimorbidity and the acquisition sequence of multimorbidity.

designLongitudinal study based on anonymised primary care data.

settingGeneral practices in an urban multiethnic borough in London, UK.

participants332 353 patients aged ≥18 years.

main outcome measuresClinical and sociodemographic characteristics of patients with multimorbidity, defined as ≥3 of 12 long-term conditions (LTCs) selected according to high predicted healthcare use. Multilevel logistic regression was used to model social determinants and cardiovascular risk factors. Alluvial plots were constructed to illustrate multimorbidity acquisition sequences according to age, ethnicity and social deprivation.

results5597 (1.7%) patients had ≥3 selected LTCs, the 'multimorbidity cohort'. The the most common LTCs were diabetes (63.0%) and chronic pain (CP) (42.8%). Social deprivation and ethnicity were independent determinants of multimorbidity: most compared with the least deprived quintile (adjusted OR (AOR) 1.56 (95% CI 1.41 to 1.72)); South Asian compared with white ethnicity (AOR 1.44 (95% CI 1.29 to 1.61)); and black compared with white ethnicity (AOR 0.86 (95% CI 0.80 to 0.92)). The included cardiovascular risk factors were relatively strong determinants of multimorbidity: hypertension (AOR 5.05 (95% CI 4.69 to 5.44)), moderate obesity (AOR 3.41 (95% CI 3.21 to 3.63)) and smoking (AOR 2.30 (95% CI 2.16 to 2.45)). The most common initial onset conditions were diabetes and depression; diabetes particularly in older and black ethnic groups; and depression particularly in younger, more deprived and white ethnicity groups. CP was less common as an initial condition.

conclusionOur findings confirm the importance of age, social deprivation and ethnicity as determinants of multimorbidity. Smoking, obesity and hypertension as cardiovascular risk factors were stronger determinants of multimorbidity than deprivation or ethnicity. The acquisition sequence of multimorbidity is patterned by sociodemographic determinants. Understanding onset conditions of multimorbidity and cardiovascular cardiovascular risk factors may lead to the development of interventions to slow the progression of multimorbidity.

Indexed as

MultimorbidityAgedAged, 80 and overCardiovascular DiseasesFemaleHumansHypertensionLondonLongitudinal StudiesMaleMiddle AgedObesityRisk FactorsSmokingSocial Determinants of HealthUrban Populationdemographic factorsmultimorbidityprimary carerisk factors

Identifiers

PMID31874873
PMCPMC7008443

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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.