{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,3]],"date-time":"2026-11-03T00:45:12Z","timestamp":1793666712427,"version":"4.5.1"},"reference-count":37,"publisher":"BMJ","issue":"11","license":[{"start":{"date-parts":[[2022,8,26]],"date-time":"2022-08-26T00:00:00Z","timestamp":1661472000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"publisher","award":["01ER1206"],"award-info":[{"award-number":["01ER1206"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"publisher","award":["01ER1507"],"award-info":[{"award-number":["01ER1507"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["BR 6028\/2-1"],"award-info":[{"award-number":["BR 6028\/2-1"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["HE 3690\/7-1"],"award-info":[{"award-number":["HE 3690\/7-1"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005626","name":"University of Regensburg","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100005626","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["J Epidemiol Community Health"],"accepted":{"date-parts":[[2022,8,5]]},"published-print":{"date-parts":[[2022,11]]},"abstract":"<jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>To 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.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>This analysis was conducted as part of the AugUR study (n=2449), a prospective population-based cohort study in individuals aged 70\u201395 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\u2019s kappa and used logistic regression to evaluate the dependency of agreement on participants\u2019 sociodemographic characteristics.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Among the 589 participants (53.1% women), 96.9% reported at least one of the evaluated chronic diseases. Overall agreement was &gt;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\u2019s 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.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>Self-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.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1136\/jech-2022-219096","type":"journal-article","created":{"date-parts":[[2022,8,26]],"date-time":"2022-08-26T13:25:10Z","timestamp":1661520310000},"page":"931-938","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":44,"title":["Self-report of chronic diseases in old-aged individuals: extent of agreement with general practitioner medical records in the German AugUR study"],"prefix":"10.1136","volume":"76","author":[{"given":"Anna B","family":"Steinkirchner","sequence":"first","affiliation":[{"name":"Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6916-4404","authenticated-orcid":false,"given":"Martina E","family":"Zimmermann","sequence":"additional","affiliation":[{"name":"Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ferdinand J","family":"Donhauser","sequence":"additional","affiliation":[{"name":"Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Dietl","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Caroline","family":"Brandl","sequence":"additional","affiliation":[{"name":"Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany"},{"name":"Department of Ophthalmology, University Hospital Regensburg, Regensburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Koller","sequence":"additional","affiliation":[{"name":"Center for Clinical Studies, University Hospital Regensburg, Regensburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julika","family":"Loss","sequence":"additional","affiliation":[{"name":"Department for Epidemiology and Preventive Medicine, Medical Sociology, University of Regensburg, Regensburg, Germany"},{"name":"Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Iris M","family":"Heid","sequence":"additional","affiliation":[{"name":"Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7832-1942","authenticated-orcid":false,"given":"Klaus J","family":"Stark","sequence":"additional","affiliation":[{"name":"Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"239","published-online":{"date-parts":[[2022,8,26]]},"reference":[{"key":"2025100302191374000_76.11.931.1","doi-asserted-by":"crossref","unstructured":"Dapp U , Anders J , von Renteln-Kruse W , et al . 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