Evidence map›Paper›PMID 23527228›Full record

ArticlePloS one2013

Unequal trends in coronary heart disease mortality by socioeconomic circumstances, England 1982-2006: an analytical study.

Madhavi Bajekal, Shaun Scholes, Martin O'Flaherty, Rosalind Raine, Paul Norman, Simon Capewell

Abstract readHistorical Article
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  9. Temporal trends of cardiovascular health factors among 366 270 French adults.European heart journal. Quality of care & clinical outcomes · 2020
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  12. Review
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  15. Social factors and cardiovascular morbidity.Neuroscience and biobehavioral reviews · 2017
    Review
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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.

Madhavi BajekalDepartment of Applied Health Research, University College London, London, United Kingdom. m.bajekal@ucl.ac.uk
Shaun Scholes
Martin O'Flaherty
Rosalind Raine
Paul Norman
Simon Capewell

Funding

Medical Research Council G0900847
6 · The paper itself

Abstract

backgroundCoronary heart disease (CHD) remains a major public health burden, causing 80,000 deaths annually in England and Wales, with major inequalities. However, there are no recent analyses of age-specific socioeconomic trends in mortality. We analysed annual trends in inequalities in age-specific CHD mortality rates in small areas in England, grouped into deprivation quintiles.

methodsWe calculated CHD mortality rates for 10-year age groups (from 35 to ≥ 85 years) using three year moving averages between 1982 and 2006. We used Joinpoint regression to identify significant turning points in age- sex- and deprivation-specific time trends. We also analysed trends in absolute and relative inequalities in age-standardised rates between the least and most deprived areas.

resultsBetween 1982 and 2006, CHD mortality fell by 62.2% in men and 59.7% in women. Falls were largest for the most deprived areas with the highest initial level of CHD mortality. However, a social gradient in the pace of fall was apparent, being steepest in the least deprived quintile. Thus, while absolute inequalities narrowed over the period, relative inequalities increased. From 2000, declines in mortality rates slowed or levelled off in the youngest groups, notably in women aged 45-54 in the least deprived groups. In contrast, from age 55 years and older, rates of fall in CHD mortality accelerated in the 2000s, likewise falling fastest in the least deprived quintile.

conclusionsAge-standardised CHD mortality rates have declined substantially in England, with the steepest falls in the most affluent quintiles. However, this concealed contrasting patterns in underlying age-specific rates. From 2000, mortality rates levelled off in the youngest groups but accelerated in middle aged and older groups. Mortality analyses by small areas could provide potentially valuable insights into possible drivers of inequalities, and thus inform future strategies to reduce CHD mortality across all social groups.

Indexed as

Health Status DisparitiesAdultAgedAged, 80 and overAge FactorsCoronary DiseaseEnglandFemaleHistory, 20th CenturyHistory, 21st CenturyHumansMaleMiddle AgedRegression AnalysisSocioeconomic Factors

Identifiers

PMID23527228
PMCPMC3603902

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LicenceCC BY
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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.