{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T14:41:07Z","timestamp":1781016067639,"version":"3.54.1"},"reference-count":33,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2015,1,22]],"date-time":"2015-01-22T00:00:00Z","timestamp":1421884800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"Population Health Research Network (PHRN)"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Geriatrics Gerontology Int"],"published-print":{"date-parts":[[2016,1]]},"abstract":"<jats:sec><jats:title>Aim<\/jats:title><jats:p>To estimate the prevalence of diabetes, heart disease, hypertension and stroke in self\u2010report and hospital data in two cohorts of women; measure sensitivity and agreement between data sources; and compare between cohorts.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Women born between 1946\u20131951 and 1921\u20131926 who participated in the <jats:styled-content style=\"fixed-case\">A<\/jats:styled-content>ustralian Longitudinal Study on Women's Health (<jats:styled-content style=\"fixed-case\">ALSWH<\/jats:styled-content>); were <jats:styled-content style=\"fixed-case\">N<\/jats:styled-content>ew <jats:styled-content style=\"fixed-case\">S<\/jats:styled-content>outh <jats:styled-content style=\"fixed-case\">W<\/jats:styled-content>ales residents; and admitted to hospital (2004\u20132008) were included in the present study. The prevalence of diabetes, heart disease, hypertension and stroke was estimated using self\u2010report (case\u20091 at latest survey, case\u20092 across multiple surveys) and hospital records. Agreement (kappa) and sensitivity (%) were calculated. Logistic regression measured the association between patient characteristics and agreement.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Hypertension had the highest prevalence and estimates were higher for older women: 32.5% case\u20091, 45.4% case\u20092, 12.8% in hospital data (1946\u20131951 cohort); 57.8% case\u20091, 73.2% case\u20092, 38.2% in hospital data (1921\u20131926 cohort). Agreement was substantial for diabetes: \u03ba\u2009=\u20090.75 case\u20091, \u03ba\u2009=\u20090.70 case\u20092 (1946\u20131951 cohort); \u03ba\u2009=\u20090.77 case\u20091, \u03ba\u2009=\u20090.80 case\u20092 (1921\u20131926 cohort), and lower for other conditions. The 1946\u20131951 cohort had 2.08 times the odds of agreement for hypertension (95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content> 1.56 to 2.78; <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.0001), and 6.25 times the odds of agreement for heart disease (95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content> 4.35 to 10.0; <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.0001), compared with the 1921\u20131926 cohort.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Substantial agreement was found for diabetes, indicating accuracy of ascertainment using self\u2010report or hospital data. Self\u2010report data appears to be less accurate for heart disease and stroke. Hypertension was underestimated in hospital data. These findings have implications for epidemiological studies relying on self\u2010report or administrative data. <jats:bold>Geriatr Gerontol Int 2016; 16: 95\u2013102.<\/jats:bold><\/jats:p><\/jats:sec>","DOI":"10.1111\/ggi.12442","type":"journal-article","created":{"date-parts":[[2015,1,23]],"date-time":"2015-01-23T02:04:39Z","timestamp":1421978679000},"page":"95-102","source":"Crossref","is-referenced-by-count":60,"title":["Identification of diabetes, heart disease, hypertension and stroke in mid\u2010 and older\u2010aged women: Comparing self\u2010report and administrative hospital data records"],"prefix":"10.1111","volume":"16","author":[{"given":"Tina J","family":"Navin Cristina","sequence":"first","affiliation":[{"name":"Population Health Division Centre for Epidemiology and Evidence NSW Ministry of Health  Sydney New South Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer A","family":"Stewart Williams","sequence":"additional","affiliation":[{"name":"Research Centre for Gender, Health and Ageing University of Newcastle  Callaghan New South Wales Australia"},{"name":"Department of Public Health and Clinical Medicine, Epidemiology and Global Health Ume\u00e5 University  Ume\u00e5 Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lynne","family":"Parkinson","sequence":"additional","affiliation":[{"name":"Central Queensland University  Rockhampton Queensland Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David W","family":"Sibbritt","sequence":"additional","affiliation":[{"name":"Faculty of Health University of Technology  Sydney New South Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julie E","family":"Byles","sequence":"additional","affiliation":[{"name":"Research Centre for Gender, Health and Ageing University of Newcastle  Callaghan New South Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2015,1,22]]},"reference":[{"key":"e_1_2_8_2_1","volume-title":"Defining and Validating Chronic Diseases: An Administrative Data Approach","author":"Lix L","year":"2006"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1447-0594.2012.00935.x"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1532-5415.2004.52021.x"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1186\/1478-4505-1-2"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1093\/eurpub\/cki043"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0067494"},{"key":"e_1_2_8_8_1","first-page":"A126","article-title":"Accuracy of Veterans Affairs databases for diagnoses of chronic diseases","volume":"6","author":"Singh JA","year":"2009","journal-title":"Prev Chronic Dis"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1447-0594.2011.00759.x"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1093\/pubmed\/fdq013"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclinepi.2004.06.011"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.3389\/fphar.2011.00016"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclinepi.2013.04.012"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0002-9343(00)00363-6"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.31.7.1602"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclinepi.2004.04.005"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.24095\/hpcdp.29.1.04"},{"key":"e_1_2_8_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjcard.2010.10.017"},{"key":"e_1_2_8_19_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2458-13-16"},{"key":"e_1_2_8_20_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0034799"},{"key":"e_1_2_8_21_1","doi-asserted-by":"publisher","DOI":"10.1177\/2150131913517902"},{"key":"e_1_2_8_22_1","volume-title":"National Centre for Classification in Health","author":"National Centre for Classification in Health","year":"2004"},{"key":"e_1_2_8_23_1","doi-asserted-by":"publisher","DOI":"10.2217\/17455057.3.4.423"},{"key":"e_1_2_8_24_1","doi-asserted-by":"publisher","DOI":"10.1093\/aje\/kwh314"},{"key":"e_1_2_8_25_1","doi-asserted-by":"publisher","DOI":"10.2307\/2529310"},{"key":"e_1_2_8_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/0895-4356(93)90018-V"},{"key":"e_1_2_8_27_1","volume-title":"The Australian Diabetes, Obesity and Lifestyle Study (AusDiab). 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