{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T19:13:18Z","timestamp":1781118798987,"version":"3.54.1"},"reference-count":32,"publisher":"American Diabetes Association","issue":"3","license":[{"start":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T00:00:00Z","timestamp":1776816000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.diabetesjournals.org\/journals\/pages\/license"}],"content-domain":{"domain":["diabetesjournals.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,5,1]]},"abstract":"<jats:sec>\n                    <jats:title>OBJECTIVE<\/jats:title>\n                    <jats:p>To examine differences in nutrient intake among U.S. adults with diagnosed diabetes, undiagnosed diabetes, prediabetes, and no diabetes, and how intake of nutrients has changed over time by diabetes status.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESEARCH DESIGN AND METHODS<\/jats:title>\n                    <jats:p>We conducted cross-sectional analyses of major macronutrient and micronutrient intakes using National Health and Nutrition Examination Survey (NHANES) 2011\u20132020 data. Energy-adjusted nutrient intakes across all year periods were compared across categories of diabetes status. Multiple linear regression models were used to examine the time trends in energy-adjusted nutrient intake by diabetes status after adjusting for age, sex, and race. All analyses were weighted to account for the complex\u00a0survey design.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>Compared with individuals without diabetes, individuals with diagnosed diabetes had greater average intakes of protein, total fat, cholesterol, calcium, and sodium, but lower total sugar, potassium, and magnesium intakes across all periods. Among individuals with diagnosed diabetes, carbohydrate, dietary fiber, magnesium, sodium, and potassium intake decreased from 2011 to 2020, whereas total fat and saturated fatty acid intakes increased. Adults with undiagnosed diabetes consumed less dietary fiber, more saturated fatty acids, and less magnesium than those without diabetes. The Healthy Eating Index was lower for people with prediabetes and undiagnosed and diagnosed diabetes than for those without diabetes (all P &amp;lt; 0.01).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSIONS<\/jats:title>\n                    <jats:p>In the 10-year study period, nutrient intakes did not improve in individuals with prediabetes, undiagnosed diabetes, or diagnosed diabetes. The lack of improvement in dietary quality, coupled with a high prevalence of diabetes in the U.S., warrants public health efforts to reverse these adverse trends.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2337\/doc25-0076","type":"journal-article","created":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T14:31:03Z","timestamp":1776868263000},"page":"451-459","update-policy":"https:\/\/doi.org\/10.2337\/ada-journal-policies","source":"Crossref","is-referenced-by-count":0,"title":["Trends in Nutrient Intake Among U.S. Adults by Diabetes Status: National Health and Nutrition Examination Survey 2011\u20132020"],"prefix":"10.2337","volume":"1","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-5289-5929","authenticated-orcid":false,"given":"Xinghan","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Medicine, Johns Hopkins University 1 , Baltimore, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Scott J.","family":"Pilla","sequence":"additional","affiliation":[{"name":"Department of Medicine, Johns Hopkins University 1 , Baltimore, MD"},{"name":"Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University 2 , Baltimore, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susan","family":"Oh","sequence":"additional","affiliation":[{"name":"Institute for Clinical and Translational Research, Johns Hopkins School of Medicine 3 , Baltimore, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lawrence J.","family":"Appel","sequence":"additional","affiliation":[{"name":"Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University 2 , Baltimore, MD"},{"name":"Department of Epidemiology, Johns Hopkins University 4 , Baltimore, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5738-0652","authenticated-orcid":false,"given":"Hsin-Chieh","family":"Yeh","sequence":"additional","affiliation":[{"name":"Department of Medicine, Johns Hopkins University 1 , Baltimore, MD"},{"name":"Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University 2 , Baltimore, MD"},{"name":"Department of Epidemiology, Johns Hopkins University 4 , Baltimore, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1167","published-online":{"date-parts":[[2026,4,22]]},"reference":[{"key":"2026061014531104600_B1","unstructured":"Centers for Disease Control and Prevention\n          . 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