{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T16:13:17Z","timestamp":1788365597635,"version":"build-2803163510"},"reference-count":27,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100007937","name":"Peking University","doi-asserted-by":"publisher","award":["2025205"],"award-info":[{"award-number":["2025205"]}],"id":[{"id":"10.13039\/501100007937","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Diabetes Invest"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To investigate the association between the cardiometabolic risk factors cluster (CRFC) and all\u2010cause mortality in type 2 diabetes (T2D).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Data from the Zhejiang Rural T2D Cohort (2016\u20132024) included 10,310 participants. Four cardiometabolic risk factors (CRFs) were evaluated: central obesity, elevated blood pressure, high triglycerides (TG), and low high\u2010density lipoprotein cholesterol (HDL\u2010C). After adjusting for confounders, multivariate Cox regression models were constructed to estimate hazard ratios (HRs). A Total CRFs Score (TCRFS), weighted by regression coefficients of individual CRFs, was stratified into four groups based on quartiles (&lt;P25, P25\u2010P50, P50\u2010P75, and \u2265P75). The TCRFS and TCRFS\u2010based groupings were analyzed for associations with all\u2010cause mortality, including age\u2010 and sex\u2010stratified analyses.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Participants had a mean age of 63.54\u2009\u00b1\u20099.77\u2009years, with the most prevalent CRFs being elevated blood pressure (86.97%), followed by elevated TG (41.21%), low HDL\u2010C (38.71%), and central obesity (32.96%). Over a mean 8.12\u2009\u00b1\u20091.71\u2009years of follow\u2010up, 1,770 deaths occurred (death density: 211.21\/10,000 person\u2010years). No single CRF, except for TG, showed a significant association with all\u2010cause mortality, whereas the TCRFS was a significant predictor (HR\u2009=\u20092.719, 95%CI (1.360, 5.437),\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.005). Furthermore, participants in the highest TCRFS quartile (\u2265P75) had a significantly higher mortality risk compared to those in the lowest quartile (&lt;P25) (HR\u2009=\u20091.155, 95% CI: 1.030\u20131.294,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.013).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>CRFC is significantly associated with increased all\u2010cause mortality risk in T2D patients. Early comprehensive assessment and intervention for cardiometabolic risk factors may reduce mortality in this population.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jdi.70374","type":"journal-article","created":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T13:36:18Z","timestamp":1782912978000},"page":"1557-1564","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Association between cardiometabolic risk factors cluster and all\u2010cause mortality in type 2 diabetes"],"prefix":"10.1111","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2021-4431","authenticated-orcid":false,"given":"Qingfang","family":"He","sequence":"first","affiliation":[{"name":"Zhejiang Provincial Center for Disease Control and Prevention  Hangzhou Zhejiang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongting","family":"Zhu","sequence":"additional","affiliation":[{"name":"Yongkang Center for Disease Control and Prevention  Yongkang Zhejiang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Wang","sequence":"additional","affiliation":[{"name":"Jiashan County Center for Disease Control and Prevention  Jiashan Zhejiang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyan","family":"Zhou","sequence":"additional","affiliation":[{"name":"Zhejiang Provincial Center for Disease Control and Prevention  Hangzhou Zhejiang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuting","family":"Han","sequence":"additional","affiliation":[{"name":"Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education  Beijing China"},{"name":"Department of Epidemiology &amp; Biostatistics, School of Public Health Peking University  Beijing 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