<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Jia X</submitter><funding>Science and Technology Commission of Shanghai Municipality</funding><funding>Shanghai Municipal Health Commission</funding><funding>Innovative Research Team of High-level Local Universities in Shanghai</funding><funding>Ministry of Science and Technology of the People&amp;apos;s Republic of China</funding><funding>National Natural Science Foundation of China</funding><pagination>102309</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12490207</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>6(9)</volume><pubmed_abstract>Current obesity classifications may not adequately reflect age- and gender-specific risks in diverse populations. In a prospective cohort study of 166,285 Chinese adults aged ≥40 years without prior cardiovascular disease (CVD) or cancer, we evaluate optimal thresholds of body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) for predicting incident CVD and all-cause mortality. We observe monotonically increasing dose-response associations of BMI, WC, and WHR with CVD risk but U-shaped relationships with all-cause mortality. The optimal obesity thresholds based on all-cause mortality risk differ by gender, with the lowest mortality risks occurring at BMI 26.3 kg/m&lt;sup>2&lt;/sup>, WC 88 cm, and WHR 0.90 in men and BMI 25.4 kg/m&lt;sup>2&lt;/sup>, WC 83 cm, and WHR 0.85 in wome</pubmed_abstract><journal>Cell reports. Medicine</journal><pubmed_title>Revisiting obesity thresholds for cardiovascular disease and mortality risk in Chinese adults: Age- and gender-specific insights.</pubmed_title><pmcid>PMC12490207</pmcid><funding_grant_id>82170819</funding_grant_id><funding_grant_id>2022YFC2505202</funding_grant_id><funding_grant_id>82200998</funding_grant_id><funding_grant_id>2023ZD0508901</funding_grant_id><funding_grant_id>2023ZD0508902</funding_grant_id><funding_grant_id>22Y31900300</funding_grant_id><funding_grant_id>2023ZD0508402</funding_grant_id><funding_grant_id>82088102</funding_grant_id><funding_grant_id>2023ZD0508403</funding_grant_id><funding_grant_id>23Y11908400</funding_grant_id><funding_grant_id>23JS1400900</funding_grant_id><funding_grant_id>2023ZD0508401</funding_grant_id><funding_grant_id>20214Y0002</funding_grant_id><funding_grant_id>20224Y0087</funding_grant_id><funding_grant_id>82370810</funding_grant_id><funding_grant_id>82372347</funding_grant_id><funding_grant_id>91857205</funding_grant_id><pubmed_authors>Shi L</pubmed_authors><pubmed_authors>Wan Q</pubmed_authors><pubmed_authors>Luo Z</pubmed_authors><pubmed_authors>Qin Y</pubmed_authors><pubmed_authors>Wang G</pubmed_authors><pubmed_authors>Hou X</pubmed_authors><pubmed_authors>Zhao Z</pubmed_authors><pubmed_authors>Deng H</pubmed_authors><pubmed_authors>Ye Z</pubmed_authors><pubmed_authors>Shen F</pubmed_authors><pubmed_authors>Su Q</pubmed_authors><pubmed_authors>Wang T</pubmed_authors><pubmed_authors>4C Study Group</pubmed_authors><pubmed_authors>Wu S</pubmed_authors><pubmed_authors>Jia X</pubmed_authors><pubmed_authors>Chen Y</pubmed_authors><pubmed_authors>Wang W</pubmed_authors><pubmed_authors>Wang Y</pubmed_authors><pubmed_authors>Zhao J</pubmed_authors><pubmed_authors>Yu X</pubmed_authors><pubmed_authors>Tang X</pubmed_authors><pubmed_authors>Yin Y</pubmed_authors><pubmed_authors>Yan L</pubmed_authors><pubmed_authors>Xu M</pubmed_authors><pubmed_authors>Qiao H</pubmed_authors><pubmed_authors>Gu X</pubmed_authors><pubmed_authors>Li D</pubmed_authors><pubmed_authors>Mu Y</pubmed_authors><pubmed_authors>Chen L</pubmed_authors><pubmed_authors>Chen G</pubmed_authors><pubmed_authors>Zheng R</pubmed_authors><pubmed_authors>Li Q</pubmed_authors><pubmed_authors>Li M</pubmed_authors><pubmed_authors>Zeng T</pubmed_authors><pubmed_authors>Ning G</pubmed_authors><pubmed_authors>Hu C</pubmed_authors><pubmed_authors>Huo Y</pubmed_authors><pubmed_authors>Zhang Y</pubmed_authors><pubmed_authors>Lu J</pubmed_authors><pubmed_authors>Lin H</pubmed_authors><pubmed_authors>Gao Z</pubmed_authors><pubmed_authors>Qin G</pubmed_authors><pubmed_authors>Liu C</pubmed_authors><pubmed_authors>Lai S</pubmed_authors><pubmed_authors>Yang T</pubmed_authors><pubmed_authors>Hu R</pubmed_authors><pubmed_authors>Xu Y</pubmed_authors><pubmed_authors>Bi Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Revisiting obesity thresholds for cardiovascular disease and mortality risk in Chinese adults: Age- and gender-specific insights.</name><description>Current obesity classifications may not adequately reflect age- and gender-specific risks in diverse populations. In a prospective cohort study of 166,285 Chinese adults aged ≥40 years without prior cardiovascular disease (CVD) or cancer, we evaluate optimal thresholds of body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) for predicting incident CVD and all-cause mortality. We observe monotonically increasing dose-response associations of BMI, WC, and WHR with CVD risk but U-shaped relationships with all-cause mortality. The optimal obesity thresholds based on all-cause mortality risk differ by gender, with the lowest mortality risks occurring at BMI 26.3 kg/m&lt;sup>2&lt;/sup>, WC 88 cm, and WHR 0.90 in men and BMI 25.4 kg/m&lt;sup>2&lt;/sup>, WC 83 cm, and WHR 0.85 in wome</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Sep</publication><modification>2026-06-04T02:20:47.603Z</modification><creation>2026-05-04T03:13:33.275Z</creation></dates><accession>S-EPMC12490207</accession><cross_references><pubmed>40858104</pubmed><doi>10.1016/j.xcrm.2025.102309</doi></cross_references></HashMap>