Evidence map›Paper›PMID 17603918›Full record

ArticleBMC public health2007

Health inequalities in Germany: do regional-level variables explain differentials in cardiovascular risk?

Juergen Breckenkamp, Andreas Mielck, Oliver Razum

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in BMC public health, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. A Regionalization Model to Increase Equity of Access to Maternal and Neonatal Care Services in Iran.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2022
    Article
  3. Article
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  5. Geographic Variations in Cardiometabolic Risk Factors in Luxembourg.International journal of environmental research and public health · 2017
    Article
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  12. The wider determinants of inequalities in health: a decomposition analysis.International journal for equity in health · 2011
    Article
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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

3 authors.

Juergen BreckenkampDepartment of Epidemiology and International Public Health, School of Public Health, University of Bielefeld, Bielefeld, Germany. juergen.breckenkamp@uni-bielefeld.de <juergen.breckenkamp@uni-bielefeld.de>
Andreas Mielck
Oliver Razum

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocioeconomic status is a predictor not only of mortality, but also of cardiovascular risk and morbidity. An ongoing debate in the field of social inequalities and health focuses on two questions: 1) Is individual health status associated with individual income as well as with income inequality at the aggregate (e. g. regional) level? 2) If there is such an association, does it operate via a psychosocial pathway (e.g. stress) or via a "neo-materialistic" pathway (e.g. systematic under-investment in societal infrastructures)? For the first time in Germany, we here investigate the association between cardiovascular health status and income inequality at the area level, controlling for individual socio-economic status.

methodsIndividual-level explanatory variables (age, socio-economic status) and outcome data (body mass index, blood pressure, cholesterol level) as well as the regional-level variable (proportion of relative poverty) were taken from the baseline survey of the German Cardiovascular Prevention Study, a cross-sectional, community-based, multi-center intervention study, comprising six socio-economically diverse intervention regions, each with about 1800 participants aged 25-69 years. Multilevel modeling was used to examine the effects of individual and regional level variables.

resultsRegional effects are small compared to individual effects for all risk factors analyzed. Most of the total variance is explained at the individual level. Only for diastolic blood pressure in men and for cholesterol in both men and women is a statistically significant effect visible at the regional level.

conclusionOur analysis does not support the assumption that in Germany cardiovascular risk factors were to a large extent associated with income inequality at regional level.

Indexed as

Catchment Area, HealthHealth Status IndicatorsSocial ClassAdultAgedBlood PressureCardiovascular DiseasesCholesterolCross-Sectional StudiesFemaleGeographyGermanyHumansIncomeMaleMiddle AgedCholesterol

Identifiers

PMID17603918
PMCPMC1934354

What OpenQuestion holds

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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.