Evidence map›Paper›PMID 37046247›Full record

ArticleBMC public health2023

Risk factor contributions to socioeconomic inequality in cardiovascular risk in the Philippines: a cross-sectional study of nationally representative survey data.

Callum Brindley, Tom Van Ourti, Joseph Capuno, Aleli Kraft, Jenny Kudymowa, Owen O'Donnell

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

6 authors at 4 institutions in 4 countries.

Callum BrindleyErasmus School of Health Policy and Management, Erasmus University, 1738, Rotterdam, 3000 DR, The Netherlands. brindley@eshpm.eur.nl.ORCID 0000-0002-5478-3974
Tom Van OurtiErasmus School of Health Policy and Management, Erasmus University, 1738, Rotterdam, 3000 DR, The Netherlands.ORCID 0000-0003-0110-770X
Joseph CapunoSchool of Economics, University of the Philippines Diliman, Diliman, The Philippines.ORCID 0000-0003-3879-9551
Aleli KraftSchool of Economics, University of the Philippines Diliman, Diliman, The Philippines.ORCID 0000-0002-6883-8817
Jenny KudymowaErasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands.
Owen O'DonnellErasmus School of Health Policy and Management, Erasmus University, 1738, Rotterdam, 3000 DR, The Netherlands.ORCID 0000-0002-6289-1924
Erasmus University Rotterdam · NLUniversity of the Philippines Diliman · PHThe Priory Hospital · GBTinbergen Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrimary prevention of cardiovascular diseases (CVD) increasingly relies on monitoring global CVD risk scores. Lack of evidence on socioeconomic inequality in these scores and the contributions that specific risk factors make to this inequality impedes effective targeting of CVD prevention. We aimed to address this evidence gap by measuring and decomposing socioeconomic inequality in CVD risk in the Philippines.

methodsWe used data on 8462 individuals aged 40-74 years from the Philippines National Nutrition Survey and the laboratory-based Globorisk equation to predict 10-year risk of a CVD event from sex, age, systolic blood pressure, total cholesterol, high blood glucose, and smoking. We used a household wealth index to proxy socioeconomic status and measured socioeconomic inequality with a concentration index that we decomposed into contributions of the risk factors used to predict CVD risk. We measured socioeconomic inequalities in these risk factors and decomposed them into contributions of more distal risk factors: body mass index, fat share of energy intake, low physical activity, and drinking alcohol. We stratified by sex.

resultsWealthier individuals, particularly males, had greater exposure to all risk factors, with the exception of smoking, and had higher CVD risks. Total cholesterol and high blood glucose accounted for 58% and 34%, respectively, of the socioeconomic inequality in CVD risk among males. For females, the respective estimates were 63% and 69%. Systolic blood pressure accounted for 26% of the higher CVD risk of wealthier males but did not contribute to inequality among females. If smoking prevalence had not been higher among poorer individuals, then the inequality in CVD risk would have been 35% higher for males and 75% higher for females. Among distal risk factors, body mass index and fat intake contributed most to inequalities in total cholesterol, high blood sugar, and, for males, systolic blood pressure.

conclusionsWealthier Filipinos have higher predicted CVD risks and greater exposure to all risk factors, except smoking. There is need for a nuanced approach to CVD prevention that targets anti-smoking programmes on the poorer population while targeting diet and exercise interventions on the wealthier.

Indexed as

Cardiovascular DiseasesBlood GlucoseCholesterolCross-Sectional StudiesFemaleHeart Disease Risk FactorsHumansMalePhilippinesRisk FactorsSocioeconomic FactorsBlood GlucoseCholesterolBlood glucoseBlood pressureCardiovascular diseaseCholesterolDecompositionInequalityPhilippinesRisk factorsSmokingSocioeconomic

Identifiers

PMID37046247
PMCPMC10092926
OpenAlexW4365151157

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.