Evidence map›Paper›PMID 15006898›Full record

ArticleBMJ (Clinical research ed.)2004

Clustering of risk factors and social class in childhood and adulthood in British women's heart and health study: cross sectional analysis.

Shah Ebrahim, David Montaner, Debbie A Lawlor

Erratum issuedAbstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2004. 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 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

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

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  12. Assessing abdominal aorta narrowing using computational fluid dynamics.Medical & biological engineering & computing · 2016
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  14. Classification of different degrees of adiposity in sedentary rats.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2016
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

3 authors.

Shah EbrahimDepartment of Social Medicine, University of Bristol, Canynge Hall, Bristol BS8 2PR. Shah.ebrahim@bristol.ac.uk
David Montaner
Debbie A Lawlor

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine co-occurrence and clustering of risk factors used in the Framingham equation by social class in childhood and adult life.

designCross sectional study.

setting23 towns across England, Wales, and Scotland.

participants2936 women aged 60-79 years.

main outcome measuresPrevalence of risk factors (hypertension, obesity, smoking, left ventricular hypertrophy on electrocardiography, diabetes, and low concentration of high density cholesterol); ratios of observed to expected frequencies of clusters of risk factors.

resultsRisk factors were more common in women from manual social classes in either childhood or adult life, and the co-occurrence of three or four of these risk factors was greater among more disadvantaged groups. Within the four socioeconomic groups, these risk factors occurred together more than would be expected from their individual frequency distributions, indicating that they were clustered. The extent of this clustering was similar in all four social class groups.

conclusionsClustering of risk factors included in the Framingham risk function occurs in all social class groups, but the lack of social patterning makes it unlikely that clustering is an explanation of socioeconomic inequalities in cardiovascular disease. As the proportion of women with co-occurrence of risk factors is greatest in those from manual social class in childhood, this measure of socioeconomic position might prove useful in risk prediction.

Indexed as

AgedChildCluster AnalysisFemaleHeart DiseasesHumansMiddle AgedPrevalenceRisk FactorsSocial ClassUnited KingdomWomen's Health

Identifiers

PMID15006898
PMCPMC387475

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.