{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T04:31:41Z","timestamp":1776659501867,"version":"3.51.2"},"reference-count":30,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2014,12,22]],"date-time":"2014-12-22T00:00:00Z","timestamp":1419206400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Diabetes"],"published-print":{"date-parts":[[2015,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>This study aimed to identify determinants of new onset type\u20102 diabetes (<jats:styled-content style=\"fixed-case\">T2D<\/jats:styled-content>) and prediabetes in a region with high rate of <jats:styled-content style=\"fixed-case\">T2D<\/jats:styled-content> but scarcity of evidence.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Participants free of <jats:styled-content style=\"fixed-case\">T2D<\/jats:styled-content> were identified in a population\u2010based study of adults older than 35 years living in the rural and urban areas of three districts in <jats:styled-content style=\"fixed-case\">I<\/jats:styled-content>ran in 2001 and were re\u2010examined after 7 years. Biochemical measurements, anthropometric data, blood pressure, smoking status and dietary intake were determined at both measurement points through identical protocols and procedures. Data analysis was done using multivariate ordered logistic regressions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Incidence rate of prediabetes and <jats:styled-content style=\"fixed-case\">T2D<\/jats:styled-content> was 32.3 (95%<jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>, 29.7\u201335.1) and 18.9 (17.1\u201320.9) per 1000 person\u2010year, respectively. Odds of progression to prediabetes and T2D were increased with ageing, living in rural area (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\u2009=\u20091.28), unhealthy diet (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\u2009=\u20091.32), overweight (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\u2009=\u20091.45), obesity (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\u2009=\u20091.97), waist gain (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\u2009=\u20091.37), high waist\u2010to\u2010hip ratio (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\u2009=\u20091.35), hypertension (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\u2009=\u20091.35), and hypertriglyceridemia (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\u2009=\u20091.50); but reduced with higher education (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\u2009=\u20090.76) and weight loss (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\u2009=\u20090.67) in the adjusted models. In those with prediabetes at baseline, parental history of T2D (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\u2009=\u20092.26), obesity (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\u2009=\u20092.59), high waist circumference (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\u2009=\u20092.03), and hypertriglyceridemia (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\u2009=\u20091.94) were associated with developing <jats:styled-content style=\"fixed-case\">T2D<\/jats:styled-content>. No factor was found to be associated with regression from prediabetes to normoglycemia in adjusted models.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Current data endorses proposed statistical projections for the future trend of diabetes, and highlights the potential role of obesity specifically visceral type.<\/jats:p><\/jats:sec>","DOI":"10.1111\/1753-0407.12236","type":"journal-article","created":{"date-parts":[[2014,10,28]],"date-time":"2014-10-28T11:13:57Z","timestamp":1414494837000},"page":"633-641","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Determinants of incident prediabetes and type 2 diabetes in a 7\u2010year cohort in a developing country: The <scp>I<\/scp>sfahan <scp>C<\/scp>ohort Study"],"prefix":"10.1111","volume":"7","author":[{"given":"Masoumeh","family":"Sadeghi","sequence":"first","affiliation":[{"name":"Cardiac Rehabilitation Research Center Isfahan University of Medical Sciences  Isfahan Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad","family":"Talaei","sequence":"additional","affiliation":[{"name":"Isfahan Cardiovascular Research Center Cardiovascular Research Institute Isfahan University of Medical Sciences  Isfahan Iran"},{"name":"Saw Swee Hock School of Public Health National University of Singapore  Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ehsan","family":"Parvaresh Rizi","sequence":"additional","affiliation":[{"name":"Yong Loo Lin School of Medicine National University of Singapore  Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minoo","family":"Dianatkhah","sequence":"additional","affiliation":[{"name":"Isfahan Cardiovascular Research Center Cardiovascular Research Institute Isfahan University of Medical Sciences  Isfahan 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