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prevalence of continuous glucose monitoring (CGM)-defined glucose abnormalities in a large, community-based population of very old adults (&amp;gt;75 years).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>RESEARCH DESIGN AND METHODS<\/jats:title>\n                  <jats:p>A cross-sectional analysis of 1,150 older adults with and without diabetes who attended the Atherosclerosis Risk in Communities Study (2021\u20132022). Diabetes was based on a self-reported diagnosis of diabetes by a health care provider, use of diabetes medication, or a hemoglobin A1c (HbA1c) \u22656.5%. Prediabetes was defined as an HbA1c of 5.7% to &amp;lt;6.5% and normoglycemia as an HbA1c of &amp;lt;5.7%. We analyzed CGM metrics, including mean glucose, measures of hyperglycemia, and the coefficient of variation, by diabetes status.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>RESULTS<\/jats:title>\n                  <jats:p>Of the 1,150 participants (mean age 83 years, 59% women, 26% who are Black), 35.1% had normoglycemia, 34.5% had prediabetes, and 30.4% had diabetes. The summary 24-h ambulatory glucose profile for participants with prediabetes was very similar to those with normoglycemia. No participants with normoglycemia or prediabetes had a CGM mean glucose &amp;gt;140 mg\/dL, while 32.7% of participants with diabetes had a CGM mean glucose &amp;gt;140 mg\/dL.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>CONCLUSIONS<\/jats:title>\n                  <jats:p>In very old adults with normal or prediabetes HbA1c, hyperglycemia detected by CGM was rare. This suggests that HbA1c adequately captures the burden of hyperglycemia for most people in this population.<\/jats:p>\n               <\/jats:sec>","DOI":"10.2337\/dc24-1990","type":"journal-article","created":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T17:26:24Z","timestamp":1734715584000},"page":"416-421","update-policy":"https:\/\/doi.org\/10.2337\/ada-journal-policies","source":"Crossref","is-referenced-by-count":10,"title":["Glucose Abnormalities Detected by Continuous Glucose Monitoring in Very Old Adults With and Without Diabetes"],"prefix":"10.2337","volume":"48","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2257-0480","authenticated-orcid":false,"given":"Natalie R.","family":"Daya","sequence":"first","affiliation":[{"name":"1The Welch Center for Prevention, Epidemiology and Clinical Research, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2849-1780","authenticated-orcid":false,"given":"Michael","family":"Fang","sequence":"additional","affiliation":[{"name":"1The Welch Center for Prevention, Epidemiology and Clinical Research, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dan","family":"Wang","sequence":"additional","affiliation":[{"name":"1The Welch Center for Prevention, Epidemiology and Clinical Research, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arielle","family":"Valint","sequence":"additional","affiliation":[{"name":"2Collaborative Studies Coordinating Center, University of North Carolina Gillings School of Public Health, Chapel Hill, NC"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"B. Gwen","family":"Windham","sequence":"additional","affiliation":[{"name":"3Memory Impairment and Neurodegenerative Dementia (MIND) Center, Department of Medicine, University of Mississippi Medical Center, Jackson, MS"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Josef","family":"Coresh","sequence":"additional","affiliation":[{"name":"1The Welch Center for Prevention, Epidemiology and Clinical Research, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD"},{"name":"4Optimal Aging Institute, Department of Population Health and Medicine, New York University Grossman School of Medicine, New York, NY"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8460-1617","authenticated-orcid":false,"given":"Justin B.","family":"Echouffo-Tcheugui","sequence":"additional","affiliation":[{"name":"1The Welch Center for Prevention, Epidemiology and Clinical Research, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD"},{"name":"5Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6923-7151","authenticated-orcid":false,"given":"Elizabeth","family":"Selvin","sequence":"additional","affiliation":[{"name":"1The Welch Center for Prevention, Epidemiology and Clinical Research, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1167","published-online":{"date-parts":[[2024,12,20]]},"reference":[{"key":"2025022019530350300_B1","doi-asserted-by":"crossref","first-page":"e230085","DOI":"10.1530\/EC-23-0085","article-title":"Beyond A1C: exploring continuous glucose monitoring metrics in managing diabetes","volume":"12","author":"Friedman","year":"2023","journal-title":"Endocr Connect"},{"key":"2025022019530350300_B2","unstructured":"U.S. Food and Drug Administration\n          . Dexcom Stelo Glucose Biosensor System. 510(k) Substantial Equivalence Determination Decision Summary. 5 March 2024. Accessed 12 September 2024. 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adults","volume":"9","author":"Tucker","year":"2020","journal-title":"J Clin Med"},{"key":"2025022019530350300_B22","unstructured":"U.S. Food and Drug Administration. Abbott Diabetes Care. Inc. FDA Summary of Safety and Effectiveness. FreeStyle Libre 14 Day Flash Glucose Monitoring System. 23 July 2018. Accessed 15 April 2023. 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