{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T23:59:24Z","timestamp":1784246364482,"version":"3.55.0"},"reference-count":58,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2024,3,26]],"date-time":"2024-03-26T00:00:00Z","timestamp":1711411200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["dom-pubs.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Diabetes Obesity Metabolism"],"published-print":{"date-parts":[[2024,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>To investigate the relationship of fat in the pancreas with\u00a0time spent in different glycaemic ranges.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Abdominal magnetic resonance imaging at 3.0 Tesla was used to quantify fat in the pancreas as both continuous [i.e. intra\u2010pancreatic fat deposition (IPFD)] and binary (i.e. fatty change of the pancreas vs. normal pancreas) variables. Dexcom G6 devices were used to collect continuous glucose monitoring data every 5\u2009min over a continuous 7\u2010day period. Time above range (TAR), time in range (TIR) and time below range were computed. Statistical models were built to adjust for age, sex, body composition, and other covariates in linear regression analysis and analysis of covariance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      In total, 38 individuals were studied. IPFD was significantly associated with TAR (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u2009.036) and TIR (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u2009.042) after adjustment for covariates. For every 1% increase in IPFD, there was a 0.3 unit increase in TAR and a decrease in TIR. Individuals with fatty change of the pancreas, when compared with those with normal pancreas, had significantly higher TAR (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u2009.034) and lower TIR (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u2009.047) after adjustment for covariates. Neither IPFD (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u2009.805) nor fatty change of the pancreas (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u2009.555) was associated with time below range after adjustment for covariates.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Increased fat in the pancreas is associated with excessive glycaemic variability. Fatty change of the pancreas may contribute to heightening the risk of cardiovascular diseases.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/dom.15550","type":"journal-article","created":{"date-parts":[[2024,3,26]],"date-time":"2024-03-26T03:13:56Z","timestamp":1711422836000},"page":"2359-2367","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Intra\u2010pancreatic fat is associated with continuous glucose monitoring metrics"],"prefix":"10.1111","volume":"26","author":[{"given":"Yutong","family":"Liu","sequence":"first","affiliation":[{"name":"School of Medicine University of Auckland  Auckland New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wandia","family":"Kimita","sequence":"additional","affiliation":[{"name":"School of Medicine University of Auckland  Auckland New 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