Associations between chinese visceral adiposity index and incident stroke among community populations in Pudong New Area, Shanghai

To analyze the relationship between Chinese Visceral Adiposity Index (CVAI) and stroke in Pudong New Area, and to provide a scientific basis for the prevention and treatment of this condition. Based on the Follow-up Cohort Program of Chronic Disease Risk Factors in Pudong New Area, a total of 7,194...

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Veröffentlicht in:Journal of stroke and cerebrovascular diseases 2025-01, Vol.34 (1), p.108100, Article 108100
Hauptverfasser: Liu, Qingping, Zhou, Yi, Wu, Kang, Song, Jiahui, Ke, Juzhong, Qiu, Hua, Li, Zhitao, Ruan, Xiaonan
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Sprache:eng
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Zusammenfassung:To analyze the relationship between Chinese Visceral Adiposity Index (CVAI) and stroke in Pudong New Area, and to provide a scientific basis for the prevention and treatment of this condition. Based on the Follow-up Cohort Program of Chronic Disease Risk Factors in Pudong New Area, a total of 7,194 residents from 12 townships and 35 village committees or neighborhood committees were selected. The cohort data in 2016 served as the baseline, and a follow-up was conducted on 5462 individuals from 2019 to 2020. In the analysis of stroke incidence, 5,462 subjects were included, with 616 stroke events recorded. The incidence density of stroke was 33.41 per 1000 person-years, while the China standard rate and the world standard rate were 13.78 and 12.52 per 1000 person-years, respectively. The incidence density of stroke rose with increasing quartiles of CVAI. After adjusting for potential confounders, the risk of stroke for males and females with CVAI ≥ 132.11 was 2.492 times (95% CI: 1.457 ∼ 4.260) and 1.759 times (95% CI: 1.070-2.891), respectively, compared to the groups with CVAI < 81.91. Among the eight obesity indicators, including CVAI, Visceral Adiposity Index (VAI), Body Mass Index (BMI), Waist Circumference (WC), Waist Hip Ratio (WHR), Waist Height Ratio (WHtR), Body Adiposity Index (BAI), A Body Shape Index (ABSI),and Body Roundness Index (BRI), CVAI has the highest diagnostic accuracy for female stroke using Receiver Operator Characteristic (ROC) curves (the Area under the ROC curve/AUC = 0.619). Subgroup analysis showed that smoking and dyslipidemia significantly modified the association between CVAI and stroke risk in females (interaction P < 0.05). CVAI is identified as a significant risk factor for stroke and serves as a valuable predictor of stroke, particularly in females.
ISSN:1052-3057
1532-8511
1532-8511
DOI:10.1016/j.jstrokecerebrovasdis.2024.108100