{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T02:42:45Z","timestamp":1772160165812,"version":"3.50.1"},"reference-count":36,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:00:00Z","timestamp":1755820800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:00:00Z","timestamp":1755820800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["dom-pubs.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Diabetes Obesity Metabolism"],"published-print":{"date-parts":[[2025,11]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>\n                      This study aimed to investigate the association between Chinese visceral adiposity index (\n                      <jats:styled-content style=\"fixed-case\">CVAI<\/jats:styled-content>\n                      ) and heart failure (\n                      <jats:styled-content style=\"fixed-case\">HF<\/jats:styled-content>\n                      ) risk in diabetic individuals and to evaluate the predictive capability of\n                      <jats:styled-content style=\"fixed-case\">CVAI<\/jats:styled-content>\n                      compared to other obesity metrics.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>\n                      A prospective cohort study (Kailuan Study) spanning 2006 to 2022 involved 12\u2009243 diabetic patients. Participants were stratified into\n                      <jats:styled-content style=\"fixed-case\">CVAI<\/jats:styled-content>\n                      quartiles (\n                      <jats:styled-content style=\"fixed-case\">Q1<\/jats:styled-content>\n                      : &lt;96.13,\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20093060;\n                      <jats:styled-content style=\"fixed-case\">Q2<\/jats:styled-content>\n                      : 96.13 to &lt;121.25,\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20093061;\n                      <jats:styled-content style=\"fixed-case\">Q3<\/jats:styled-content>\n                      : 121.25 to &lt;146.85,\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20093061;\n                      <jats:styled-content style=\"fixed-case\">Q4<\/jats:styled-content>\n                      : \u2265146.85,\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20093061). The relationship between\n                      <jats:styled-content style=\"fixed-case\">CVAI<\/jats:styled-content>\n                      and\n                      <jats:styled-content style=\"fixed-case\">HF<\/jats:styled-content>\n                      occurrence was assessed using the Kaplan\u2013Meier analysis and Cox regression models, supplemented by sensitivity analyses. Restricted cubic splines were used to evaluate potential nonlinear associations. Subgroup analyses examined the influence of sociodemographic factors and health behaviours. Receiver operating characteristic (\n                      <jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content>\n                      ) analysis compared\n                      <jats:styled-content style=\"fixed-case\">CVAI<\/jats:styled-content>\n                      with other obesity indices. Statistical significance was set at\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Over a median follow\u2010up of 15\u2009years, 861 new\n                      <jats:styled-content style=\"fixed-case\">HF<\/jats:styled-content>\n                      cases were recorded.\n                      <jats:styled-content style=\"fixed-case\">HF<\/jats:styled-content>\n                      incidence rose with increasing\n                      <jats:styled-content style=\"fixed-case\">CVAI<\/jats:styled-content>\n                      quartiles (\n                      <jats:styled-content style=\"fixed-case\">Q1<\/jats:styled-content>\n                      \u2013\n                      <jats:styled-content style=\"fixed-case\">Q4<\/jats:styled-content>\n                      : 3.05\u20137.20\/1000 person\u2010years;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05). Adjusted\n                      <jats:styled-content style=\"fixed-case\">HRs<\/jats:styled-content>\n                      (95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      ) for\n                      <jats:styled-content style=\"fixed-case\">HF<\/jats:styled-content>\n                      in\n                      <jats:styled-content style=\"fixed-case\">Q2<\/jats:styled-content>\n                      \u2013\n                      <jats:styled-content style=\"fixed-case\">Q4<\/jats:styled-content>\n                      compared to\n                      <jats:styled-content style=\"fixed-case\">Q1<\/jats:styled-content>\n                      were 1.32 (1.06\u20131.65), 1.41 (1.13\u20131.75) and 1.91 (1.55\u20132.35) (\n                      <jats:italic>P<\/jats:italic>\n                      <jats:sub>trend<\/jats:sub>\n                      \u2009&lt;\u20090.01). Age significantly modified the\n                      <jats:styled-content style=\"fixed-case\">CVAI<\/jats:styled-content>\n                      \u2010\n                      <jats:styled-content style=\"fixed-case\">HF<\/jats:styled-content>\n                      relationship (\u226560\u2009years:\n                      <jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content>\n                      \u2009=\u20092.06, 1.60\u20132.64;\n                      <jats:italic>P<\/jats:italic>\n                      <jats:sub>interaction<\/jats:sub>\n                      \u2009&lt;0.01).\n                      <jats:styled-content style=\"fixed-case\">CVAI<\/jats:styled-content>\n                      exhibited a linear correlation with\n                      <jats:styled-content style=\"fixed-case\">HF<\/jats:styled-content>\n                      (\n                      <jats:italic>P<\/jats:italic>\n                      <jats:sub>nonlinear<\/jats:sub>\n                      \u2009=\u20090.75) and demonstrated superior\n                      <jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content>\n                      \u2010predictive accuracy compared to other indices (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.01).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      <jats:styled-content style=\"fixed-case\">CVAI<\/jats:styled-content>\n                      is independently associated with\n                      <jats:styled-content style=\"fixed-case\">HF<\/jats:styled-content>\n                      risk, especially in elderly patients, supporting its utility for visceral fat\u2010related risk stratification.\n                    <\/jats:p>\n                  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