Evidence map›Paper›PMID 39742386›Full record

ArticleJournal of health monitoring2024

Diabetes mellitus, cardiovascular and chronic respiratory diseases in Germany and Europe - results of the European Health Interview Survey (EHIS 3, 2018 - 2020).

Jens Baumert, Giselle Sarganas, Ronny Kuhnert, Roma Thamm, Henriette Steppuhn, Julia Waldhauer, Jens Hoebel, Hannelore Neuhauser, Christin Heidemann

Abstract read
In one paragraph

Article in Journal of health monitoring, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

9 authors.

Jens BaumertRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Giselle SarganasRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Ronny KuhnertRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Roma ThammRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Henriette SteppuhnRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Julia WaldhauerRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Jens HoebelRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Hannelore NeuhauserRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Christin HeidemannRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In Europe, the health situation is primarily influenced by non-communicable diseases. Comparable information on key indicators for the European region can highlight potential areas for improvement in prevention and care. Method: Based on EHIS 3, age-standardised prevalences of three disease groups and two indicators of self-assessed health among those affected were presented for Germany ( Results: The disease prevalence estimates in Germany were higher compared to the European average: diabetes 8.4 % vs. 7.4 %, cardiovascular diseases 6.8 % vs. 5.7 %, chronic respiratory diseases 11.4 % vs. 7.9 %. Likewise, the proportion with self-assessed very good or good general health among those affected was also higher in Germany (diabetes 35.8 % vs. 30.7 %, cardiovascular diseases 25.3 % vs. 18.9 %, chronic respiratory diseases 44.7 % vs. 41.9 %). For limitations in everyday activities, higher proportions were found in Germany for diabetes (65.6 % vs. 60.6 %) and chronic respiratory diseases (64.5 % vs. 57.6 %). Germany showed similar gender-, age- and education-specific differences for disease prevalence, but in part less pronounced differences for the indicators of self-assessed health than the European average. Conclusions: Further analysis of the differences for the indicators considered between Germany and the European average and the possible underlying factors, such as differences in prevention, diagnosis, disease severity and care, is required. The educational inequalities observed across Europe suggest considerable potential for promoting health equity.

Indexed as

Cardiovascular diseasesChronic diseasesChronic respiratory diseasesDiabetes mellitusEducationEuropeLimitationsSelf-assessed health

Identifiers

PMID39742386
PMCPMC11647341

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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.