<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wang T</submitter><funding>Research Project on Chronic Disease Prevention and Control Management Mode in Medical Institutions</funding><funding>Fundamental Research Funds for the Central Public Welfare Research Institutes Grant</funding><funding>The National Natural Science Foundation of China</funding><pagination>160</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12797909</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>26(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Cardiovascular-kidney-metabolic (CKM) syndrome, a systemic disorder often initiated by adipose tissue dysfunction, is an emerging concept for integrated risk assessment. Although the link between obesity and cardiovascular disease (CVD) is established, the optimal anthropometric index for predicting CVD risk across different stages of CKM syndrome remains undetermined.&lt;h4>Methods&lt;/h4>This prospective cohort study utilized data of individuals with CKM syndrome in stages 0-3 from UK Biobank. Cox proportional hazards models with multi-variable adjustment were used to assess the associations of nine obesity-related indices-weight-adjusted waist index (WWI), cardiometabolic index (CMI), waist-to-height ratio (WHtR), conicity index (CI), relative fat mass (RFM), visceral adipo</pubmed_abstract><journal>BMC public health</journal><pubmed_title>Weight-adjusted waist index outperforms other obesity indices for cardiovascular disease prediction in cardiovascular-kidney-metabolic syndrome: insights from UK biobank.</pubmed_title><pmcid>PMC12797909</pmcid><funding_grant_id>82274345</funding_grant_id><funding_grant_id>YM2024ZD064</funding_grant_id><funding_grant_id>No. ZZ13-YQ-016 and No. ZZ13-YQ-016-C1</funding_grant_id><pubmed_authors>Xu L</pubmed_authors><pubmed_authors>Guo M</pubmed_authors><pubmed_authors>Chen P</pubmed_authors><pubmed_authors>Wang T</pubmed_authors><pubmed_authors>Zhang L</pubmed_authors><pubmed_authors>Chen C</pubmed_authors></additional><is_claimable>false</is_claimable><name>Weight-adjusted waist index outperforms other obesity indices for cardiovascular disease prediction in cardiovascular-kidney-metabolic syndrome: insights from UK biobank.</name><description>&lt;h4>Background&lt;/h4>Cardiovascular-kidney-metabolic (CKM) syndrome, a systemic disorder often initiated by adipose tissue dysfunction, is an emerging concept for integrated risk assessment. Although the link between obesity and cardiovascular disease (CVD) is established, the optimal anthropometric index for predicting CVD risk across different stages of CKM syndrome remains undetermined.&lt;h4>Methods&lt;/h4>This prospective cohort study utilized data of individuals with CKM syndrome in stages 0-3 from UK Biobank. Cox proportional hazards models with multi-variable adjustment were used to assess the associations of nine obesity-related indices-weight-adjusted waist index (WWI), cardiometabolic index (CMI), waist-to-height ratio (WHtR), conicity index (CI), relative fat mass (RFM), visceral adipo</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-06-09T05:38:13.255Z</modification><creation>2026-06-09T03:07:35.493Z</creation></dates><accession>S-EPMC12797909</accession><cross_references><pubmed>41353132</pubmed><doi>10.1186/s12889-025-25830-2</doi></cross_references></HashMap>