Evidence map›Paper›PMID 36028306›Full record

ArticleJournal of epidemiology and community health2022

Self-report of chronic diseases in old-aged individuals: extent of agreement with general practitioner medical records in the German AugUR study.

Anna B Steinkirchner, Martina E Zimmermann, Ferdinand J Donhauser, Alexander Dietl, Caroline Brandl, Michael Koller, Julika Loss, Iris M Heid, Klaus J Stark

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

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32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

32 citing papers in PubMed.

  1. Article
  2. NT-proBNP in the very old population: reference values and heart failure specificity from the AugUR-study.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
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  13. Central retinal volume derived from optical coherence tomography as a potential predictor of mortality in the old-aged population- results from the German AugUR study.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025
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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.

Anna B SteinkirchnerDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
Martina E ZimmermannDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.ORCID http://orcid.org/0000-0002-6916-4404
Ferdinand J DonhauserDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
Alexander DietlDepartment of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany.
Caroline BrandlDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
Michael KollerCenter for Clinical Studies, University Hospital Regensburg, Regensburg, Germany.
Julika LossDepartment for Epidemiology and Preventive Medicine, Medical Sociology, University of Regensburg, Regensburg, Germany.
Iris M HeidDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
Klaus J StarkDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany klaus.stark@klinik.uni-regensburg.de.ORCID http://orcid.org/0000-0002-7832-1942

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo estimate prevalence and incidence of diseases through self-reports in observational studies, it is important to understand the accuracy of participant reports. We aimed to quantify the agreement of self-reported and general practitioner-reported diseases in an old-aged population and to identify socio-demographic determinants of agreement.

methodsThis analysis was conducted as part of the AugUR study (n=2449), a prospective population-based cohort study in individuals aged 70-95 years, including 2321 participants with consent to contact physicians. Self-reported chronic diseases of participants were compared with medical data provided by their respective general practitioners (n=589, response rate=25.4%). We derived overall agreement, over-reporting/under-reporting, and Cohen's kappa and used logistic regression to evaluate the dependency of agreement on participants' sociodemographic characteristics.

resultsAmong the 589 participants (53.1% women), 96.9% reported at least one of the evaluated chronic diseases. Overall agreement was >80% for hypertension, diabetes, myocardial infarction, stroke, cancer, asthma, bronchitis/chronic obstructive pulmonary disease and rheumatoid arthritis, but lower for heart failure, kidney disease and arthrosis. Cohen's kappa was highest for diabetes and cancer and lowest for heart failure, musculoskeletal, kidney and lung diseases. Sex was the primary determinant of agreement on stroke, kidney disease, cancer and rheumatoid arthritis. Agreement for myocardial infarction and stroke was most compromised by older age and for cancer by lower educational level.

conclusionSelf-reports may be an effective tool to assess diabetes and cancer in observational studies in the old and very old aged. In contrast, self-reports on heart failure, musculoskeletal, kidney or lung diseases may be substantially imprecise.

Indexed as

AGINGEPIDEMIOLOGYGENERAL PRACTICEGERIATRICSHEALTH STATUS

Identifiers

PMID36028306
PMCPMC9554083

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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.