Zhang Meilin, Zheng Li, Li Ping, Zhu Yufeng, Chang Hong, Wang Xuan, Liu Weiqiao, Zhang Yuwen, Huang Guowei
Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.
Ann Nutr Metab. 2016;69(2):142-149. doi: 10.1159/000450657. Epub 2016 Oct 20.
BACKGROUND/AIMS: Our aim was to evaluate whether visceral adiposity index (VAI) could predict the risk of type 2 diabetes (T2D) in different genders and to compare the predictive ability between VAI and other fatness indices.
Four thousand seventy-eight participants including 1,817 men and 2,261 women, aged 18 and older and free of T2D at baseline were enrolled in 2010 and followed up for 4 years. New cases of T2D were identified via the annual medical examination. Cox regression analysis was used to assess the association between VAI and incidence of T2D. Receiver operating characteristic curve and area under the curves (AUC) were applied to compare the prediction ability of T2D between VAI and other fatness indices.
During the 4-year follow-up, 153 (8.42%) of 1,817 men and 88 (3.89%) of 2,261 women developed T2D. The multivariable-adjusted hazards ratios for developing T2D in the highest tertile of VAI scores were 2.854 (95% CI 1.815-4.487) in men and 3.551 (95% CI 1.586-7.955) in women. The AUC of VAI was not higher than that of other fatness indices.
VAI could predict the risk of T2D among Chinese adults, especially in women. However, the prediction ability of T2D risk for VAI was not higher than that of the other fatness indices.
背景/目的：我们的目的是评估内脏脂肪指数（VAI）是否能够预测不同性别的2型糖尿病（T2D）风险，并比较VAI与其他肥胖指数之间的预测能力。
2010年纳入了4078名年龄在18岁及以上且基线时无T2D的参与者，其中包括1817名男性和2261名女性，并进行了4年的随访。通过年度体检确定T2D新病例。采用Cox回归分析评估VAI与T2D发病率之间的关联。应用受试者工作特征曲线和曲线下面积（AUC）比较VAI与其他肥胖指数对T2D的预测能力。
在4年的随访期间，1817名男性中有153名（8.42%）、2261名女性中有88名（3.89%）患T2D。VAI得分最高三分位数人群发生T2D的多变量调整风险比在男性中为2.854（95%CI 1.815 - 4.487），在女性中为3.551（95%CI 1.586 - 7.955）。VAI的AUC不高于其他肥胖指数。
VAI能够预测中国成年人患T2D的风险，尤其是女性。然而，VAI对T2D风险的预测能力并不高于其他肥胖指数。
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