{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T16:58:04Z","timestamp":1788973084819,"version":"build-2803163510"},"reference-count":48,"publisher":"Korean Diabetes Association","issue":"6","license":[{"start":{"date-parts":[[2024,5,21]],"date-time":"2024-05-21T00:00:00Z","timestamp":1716249600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Institute of Information & Communications Technology Planning & Evaluation","award":["2022-0-00621"],"award-info":[{"award-number":["2022-0-00621"]}]},{"DOI":"10.13039\/501100014188","name":"Ministry of Science and ICT","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003710","name":"Korea Health Industry Development Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003710","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003625","name":"Ministry of Health and Welfare","doi-asserted-by":"publisher","award":["RS-2023-00262087"],"award-info":[{"award-number":["RS-2023-00262087"]}],"id":[{"id":"10.13039\/501100003625","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["e-dmj.org"],"crossmark-restriction":true},"short-container-title":["Diabetes Metab J"],"published-print":{"date-parts":[[2024,11,30]]},"abstract":"<jats:p>Background: We investigated the association between body composition changes and new-onset diabetes mellitus (DM) development according to the body mass index (BMI) in a longitudinal setting in the general Korean population.Methods: From 2010 to 2011 (1st) and 2012 to 2013 (2nd), we included 1,607,508 stratified random sample participants without DM from the National Health Insurance Service-Health Screening dataset of Korean. The predicted appendicular skeletal muscle mass index (pASMMI), body fat mass index (pBFMI), and lean body mass index (pLBMI) were calculated using pre-validated anthropometric prediction equations. A prediction equation was constructed by combining age, weight, height, waist circumference, serum creatinine levels, alcohol consumption status, physical activity, and smoking history as variables affecting body composition.Results: Decreased pASMMI (men: hazard ratio [HR], 0.866; 95% confidence interval [CI], 0.830 to 0.903; P&lt;0.001; women: HR, 0.748; 95% CI, 0.635 to 0.881; P&lt;0.001), decreased pLBMI (men: HR, 0.931; 95% CI, 0.912 to 0.952; P&lt;0.001; women: HR, 0.906; 95% CI, 0.856 to 0.959; P=0.007), and increased pBFMI (men: HR, 1.073; 95% CI, 1.050 to 1.096; P&lt;0.001; women: HR, 1.114; 95% CI, 1.047 to 1.186; P=0.007) correlated with the development of new-onset DM. Notably, only in the overweight and obese BMI categories, decreases in pASMMI and pLBMI and increases in pBFMI associated with new-onset DM, regardless of gender.Conclusion: Decreased pASMMI and pLBMI, and increased pBFMI with excess fat accumulation may enhance the risk of newonset DM. Therefore, appropriate changes in body composition can help prevent new-onset DM.<\/jats:p>","DOI":"10.4093\/dmj.2023.0243","type":"journal-article","created":{"date-parts":[[2024,5,21]],"date-time":"2024-05-21T19:26:10Z","timestamp":1716319570000},"page":"1093-1104","update-policy":"https:\/\/doi.org\/10.4093\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Association of Body Composition Changes with the Development of Diabetes Mellitus: A Nation-Wide Population Study"],"prefix":"10.4093","volume":"48","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7518-9739","authenticated-orcid":true,"given":"Hyung 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