Evidence map›Paper›PMID 19014444›Full record

ArticleBMC public health2008

The impact of education on risk factors and the occurrence of multimorbidity in the EPIC-Heidelberg cohort.

Gabriele Nagel, Richard Peter, Stefanie Braig, Silke Hermann, Sabine Rohrmann, Jakob Linseisen

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 3 pooled it
2.6field-weighted citation impact, top 11% 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

67 citing papers in PubMed, 3 syntheses or guidelines pooled it, 141 citations in OpenAlex.

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7 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 at 2 institutions in 1 country.

Gabriele NagelInstitute of Epidemiology, Ulm University, Ulm, Germany. gabriele.nagel@uni-ulm.de
Richard Peter
Stefanie Braig
Silke Hermann
Sabine Rohrmann
Jakob Linseisen
German Cancer Research Center · DEUniversität Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn aging populations, the prevalence of multimorbidity is high, and the role of socioeconomic status and its correlates is not well described. Thus, we investigated the association between educational attainment and multimorbidity in a prospective cohort study, taking also into account intermediate factors that could explain such associations.

methodsWe included 13,781 participants of the Heidelberg cohort of the European Prospective Investigation into Cancer and Nutrition (EPIC), who were 50-75 years at the end of follow-up. Information on diet and lifestyle was collected at recruitment (1994-1998). During a median follow-up of 8.7 years, information on chronic conditions and death were collected.

resultsOverall, the prevalence of multimorbidity (>= 2 concurrent chronic diseases) was 67.3%. Compared to the highest educational category, the lowest was statistically significantly associated with increased odds of multimorbidity in men (OR = 1.43; 95% CI 1.28-1.61) and women (OR = 1.33; 95% CI 1.18-1.57). After adjustment, the positive associations were attenuated (men: OR = 1.28; 95% CI 1.12-1.46; women: OR = 1.16; 95% CI 0.99-1.36). Increasing BMI was more strongly than smoking status an intermediate factor in the association between education and multimorbidity.

conclusionIn this German population, the prevalence of multimorbidity is high and is significantly associated with educational level. Increasing BMI is the most important predictor of this association. However, even the fully adjusted model, i.e. considering also other known risk factors for chronic diseases, could not entirely explain socio-economic inequalities in multimorbidity. Educational level should be considered in the development and implementation of prevention strategies of multimorbidity.

Indexed as

ComorbidityEducational StatusHealth Status IndicatorsAgedAge FactorsAnthropometryBody Mass IndexChronic DiseaseCohort StudiesCross-Sectional StudiesDietFemaleGermanyHealth Services AccessibilityHumansLife Style

Identifiers

PMID19014444
PMCPMC2614432
OpenAlexW1990273399

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.