{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["15"],"submitter":["Ren Y"],"funding":["National Natural Science Foundation of China","Henan Provincial Science and Technology Research Project"],"pubmed_abstract":["Background
Chinese visceral adiposity index (CVAI) is a reliable visceral obesity index, but the association between CVAI and risk of cardiovascular disease (CVD) remains unclear. We explored the associations of CVAI with incident CVD, heart disease, and stroke and compared the predictive power of CVAI with other obesity indices based on a national cohort study.Methods
The present study included 7,439 participants aged ≥45 years from China Health and Retirement Longitudinal Study (CHARLS). Cox regression models were applied to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Restricted cubic splines analyses were adopted to model the dose-response associations. Receiver operator characteristic (ROC) analyses were used to compare the predictive ability of dif"],"journal":["Frontiers in endocrinology"],"pagination":["1284144"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11063397"],"repository":["biostudies-literature"],"pubmed_title":["Dose-response association between Chinese visceral adiposity index and cardiovascular disease: a national prospective cohort study."],"pmcid":["PMC11063397"],"pubmed_authors":["Kong L","Li Z","Yang L","Ren Y","Zhang X","Hu Q"],"additional_accession":[]},"is_claimable":false,"name":"Dose-response association between Chinese visceral adiposity index and cardiovascular disease: a national prospective cohort study.","description":"Background
Chinese visceral adiposity index (CVAI) is a reliable visceral obesity index, but the association between CVAI and risk of cardiovascular disease (CVD) remains unclear. We explored the associations of CVAI with incident CVD, heart disease, and stroke and compared the predictive power of CVAI with other obesity indices based on a national cohort study.Methods
The present study included 7,439 participants aged ≥45 years from China Health and Retirement Longitudinal Study (CHARLS). Cox regression models were applied to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Restricted cubic splines analyses were adopted to model the dose-response associations. Receiver operator characteristic (ROC) analyses were used to compare the predictive ability of dif","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024","modification":"2026-03-27T16:50:10.329Z","creation":"2025-08-31T03:05:20.873Z"},"accession":"S-EPMC11063397","cross_references":{"pubmed":["38699393"],"doi":["10.3389/fendo.2024.1284144"]}}