Association of weight-adjusted waist index with all-cause mortality among non-Asian individuals: a national population-based cohort study

作者全名：Cao, Ting; Xie, Ruijie; Wang, Jiusong; Xiao, Meimei; Wu, Haiyang; Liu, Xiaozhu; Xie, Songlin; Chen, Yanming; Liu, Mingjiang; Zhang, Ya

作者地址：[Cao, Ting] Univ South China, Affiliated Nanhua Hosp, Hengyang Med Sch, Dept Clin Lab, Hengyang, Peoples R China; [Xie, Ruijie; Wang, Jiusong; Xiao, Meimei; Xie, Songlin; Chen, Yanming; Liu, Mingjiang] Univ South China, Affiliated Nanhua Hosp, Hengyang Med Sch, Dept Hand & Microsurg, Hengyang 421002, Peoples R China; [Wu, Haiyang] Duke Univ, Sch Med, Duke Mol Physiol Inst, Durham, NC USA; [Liu, Xiaozhu] Chongqing Med Univ, Dept Cardiol, Affiliated Hosp 2, Chongqing, Peoples R China; [Zhang, Ya] Univ South China, Affiliated Nanhua Hosp, Hengyang Med Sch, Dept Gland Surg, Hengyang 421002, Peoples R China; [Liu, Mingjiang; Zhang, Ya] Univ South China, Affiliated Nanhua Hosp, Hengyang Med Sch, 336 Dongfeng South Rd, Hengyang 421002, Hunan, Peoples R China

通信作者：Liu, MJ (通讯作者)，Univ South China, Affiliated Nanhua Hosp, Hengyang Med Sch, Dept Hand & Microsurg, Hengyang 421002, Peoples R China.; Zhang, Y (通讯作者)，Univ South China, Affiliated Nanhua Hosp, Hengyang Med Sch, Dept Gland Surg, Hengyang 421002, Peoples R China.; Liu, MJ; Zhang, Y (通讯作者)，Univ South China, Affiliated Nanhua Hosp, Hengyang Med Sch, 336 Dongfeng South Rd, Hengyang 421002, Hunan, Peoples R China.

来源：NUTRITION JOURNAL

ESI学科分类：AGRICULTURAL SCIENCES

WOS号：WOS:001245024200001

JCR分区：Q1

影响因子：4.4

年份：2024

卷号：23

期号：1

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结束页：　

文献类型：Article

关键词：All-cause mortality; Obesity; Weight-adjusted-waist; NHANES

摘要：Introduction The Weight-Adjusted Waist Index (WWI) is a new indicator of obesity that is associated with all-cause mortality in Asian populations. Our study aimed to investigate the linear and non-linear associations between WWI and all-cause mortality in non-Asian populations in the United States, and whether WWI was superior to traditional obesity indicators as a predictor of all-cause mortality.Methods We conducted a cohort study using data from the 2011-2018 National Health and Nutrition Examination Survey (NHANES), involving 18,592 participants. We utilized Cox proportional hazard models to assess the association between WWI, BMI, WC, and the risk of all-cause mortality, and performed subgroup analyses and interaction tests. We also employed a receiver operating characteristics (ROC) curve study to evaluate the effectiveness of WWI, BMI, and WC in predicting all-cause mortality.Results After adjusting for confounders, WWI, BMI, and WC were positively associated with all-cause mortality. The performance of WWI, BMI, and WC in predicting all-cause mortality yielded AUCs of 0.697, 0.524, and 0.562, respectively. The data also revealed a U-shaped relationship between WWI and all-cause mortality. Race and cancer modified the relationship between WWI and all-cause mortality, with the relationship being negatively correlated in African Americans and cancer patients.Conclusions In non-Asian populations in the United States, there is a U-shaped relationship between WWI and all-cause mortality, and WWI outperforms BMI and WC as a predictor of all-cause mortality. These findings may contribute to a better understanding and prediction of the relationship between obesity and mortality, and provide support for effective obesity management strategies.

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