{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T00:09:29Z","timestamp":1774483769113,"version":"3.50.1"},"reference-count":34,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T00:00:00Z","timestamp":1745539200000},"content-version":"vor","delay-in-days":24,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Diabetes"],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>This aimed to quantify the association between dual trajectory patterns combining seven central adiposity (CA) indices and fasting plasma glucose (FPG) with cardiovascular disease (CVD) risk in adults, and to compare their predictive performance.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>The Kailuan Study, a prospective study initiated in June 2006, included 39\u2009772 adults without pre\u2010existing CVD as of 2010. Dual trajectories of seven CA indices combined with FPG were recorded from 2006 to 2010 to predict CVD risk from 2010 to 2021. Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for incident CVD.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>During a median follow\u2010up of 11.0\u2009years, 2715 incident CVD events were recorded. Four distinct patterns of CA indices (waist circumference, waist\u2010to\u2010height ratio, abdominal volume index, body roundness index) and three distinct patterns of other CA indices (waist\u2010to\u2010hip ratio, conicity index, A body shape index) combined with FPG were identified. Compared with the lowest\u2010risk group, the highest\u2010risk group exhibited a significantly higher CVD risk (adjusted HRs [95% CIs]: 2.41 [2.02\u20132.86], 2.57 [2.18\u20133.05], 2.25 [1.92\u20132.63], 2.35 [2.01\u20132.73], 2.08 [1.74\u20132.49], 1.97 [1.72\u20132.26], 1.81 [1.58\u20132.07], respectively). Overall, the predictive capabilities were generally similar, with the combination of waist circumference and FPG showing a slightly better predictive performance compared with other patterns.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Distinct patterns of dual trajectories involving seven CA indices combined with FPG were associated with CVD risk. The results suggest that the combination of waist circumference and FPG may have greater clinical significance in predicting CVD risk.<\/jats:p><\/jats:sec>","DOI":"10.1111\/1753-0407.70081","type":"journal-article","created":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T09:49:36Z","timestamp":1745574576000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Predictive Capability of Dual Trajectories of Central Adiposity Indices Combined With Glucose for Cardiovascular Diseases"],"prefix":"10.1111","volume":"17","author":[{"given":"Gangjiao","family":"Zhu","sequence":"first","affiliation":[{"name":"School of Public Health Wuhan University  Wuhan China"},{"name":"Global Heath Research Center Duke Kunshan University  Kunshan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiong","family":"Ding","sequence":"additional","affiliation":[{"name":"School of Public Health Wuhan University  Wuhan China"},{"name":"Global Heath Research Center Duke Kunshan University  Kunshan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Zhou","sequence":"additional","affiliation":[{"name":"Xiangya School of Nursing Central South University  Changsha China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Janis M.","family":"Nolde","sequence":"additional","affiliation":[{"name":"Department of Nephrology University Medical Centre Freiburg  Freiburg Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Beaney","sequence":"additional","affiliation":[{"name":"School of Public Health Imperial College London  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dan","family":"Wu","sequence":"additional","affiliation":[{"name":"Second Affiliated Hospital of Shantou University Medical College  Shantou China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yulong","family":"Lan","sequence":"additional","affiliation":[{"name":"Second Affiliated Hospital of Shantou University Medical College  Shantou China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Tian","sequence":"additional","affiliation":[{"name":"School of Public Health North China University of Science and Technology  Tangshan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruolin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Harvard T.H. 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