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首页> 外文期刊>International Journal of Environmental Research and Public Health >Visceral Adiposity Index and Lipid Accumulation Product Index: Two Alternate Body Indices to Identify Chronic Kidney Disease among the Rural Population in Northeast China
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Visceral Adiposity Index and Lipid Accumulation Product Index: Two Alternate Body Indices to Identify Chronic Kidney Disease among the Rural Population in Northeast China

机译：内脏脂肪指数和血脂累积产品指数：鉴定东北农村人口慢性肾脏病的两个替代指标

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We aimed to compare the relative strength of the association between anthropometric obesity indices and chronic kidney disease (CKD). Another objective was to examine whether the visceral adiposity index (VAI) and lipid accumulation product index (LAPI) can identify CKD in the rural population of China. There were 5168 males and 6024 females involved in this cross-sectional study, and 237 participants (2.12%) suffered from CKD. Obesity indices included body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), VAI and LAPI. VAI and LAPI were calculated with triglyceride (TG), high-density lipoprotein (HDL), BMI and WC. VAI = [WC/39.68 + (1.88 × BMI)] × (TG /1.03) × (1.31/ HDL) for males; VAI = [WC/36.58 + (1.89 × BMI)] × (TG/0.81) × (1.52/HDL) for females. LAPI = (WC-65) × TG for males, LAPI = (WC-58) × TG for females. CKD was defined as an estimated glomerular filtration rate (eGFR) of less than 60 mL/min per 1.73 m2. The prevalence of CKD increased across quartiles for WHtR, VAI and LAPI. A multivariate logistic regression analysis of the presence of CKD for the highest quartile vs. the lowest quartile of each anthropometric measure showed that the VAI was the best predictor of CKD in females (OR: 4.21, 95% CI: 2.09–8.47, p < 0.001). VAI showed the highest AUC for CKD (AUC: 0.68, 95% CI: 0.65–0.72) and LAPI came second (AUC: 0.66, 95% CI: 0.61–0.70) in females compared with BMI (both p-values < 0.001). However, compared with the traditional index of the BMI, the anthropometric measures VAI, LAPI, WC, and WHtR had no statistically significant capacity to predict CKD in males. Our results showed that both VAI and LAPI were significantly associated with CKD in the rural population of northeast China. Furthermore, VAI and LAPI were superior to BMI, WC and WHtR for predicting CKD only in females.
机译：我们旨在比较人体肥胖指数和慢性肾脏病（CKD）之间的关联的相对强度。另一个目的是研究内脏肥胖指数（VAI）和脂质堆积产物指数（LAPI）是否可以识别中国农村人口的CKD。这项横断面研究涉及5168名男性和6024名女性，其中237名参与者（2.12％）患有CKD。肥胖指数包括体重指数（BMI），腰围（WC），腰高比（WHtR），VAI和LAPI。使用甘油三酸酯（TG），高密度脂蛋白（HDL），BMI和WC计算VAI和LAPI。男性的VAI = [WC / 39.68 +（1.88×BMI）]×（TG /1.03）×（1.31 / HDL）;女性的VAI = [WC / 36.58 +（1.89×BMI）]×（TG / 0.81）×（1.52 / HDL）。男性的LAPI =（WC-65）×TG，女性的LAPI =（WC-58）×TG。 CKD被定义为每1.73平方米小于60毫升/分钟的肾小球滤过率（eGFR）。在WHtR，VAI和LAPI中，四分位数之间的CKD患病率增加。对每种人体测量指标的最高四分位数与最低四分位数进行比较的多因素logistic回归分析表明，VAI是女性中CKD的最佳预测指标（OR：4.21、95％CI：2.09–8.47， p <0.001）。与BMI相比，女性的VAI显示CKD的AUC最高（AUC：0.68，95％CI：0.65-0.72），LAPI排名第二（AUC：0.66，95％CI：0.61-0.70）（均P-值<0.001）。但是，与传统的BMI指数相比，人体测量指标VAI，LAPI，WC和WHtR没有统计学上显着的预测男性CKD的能力。我们的结果表明，在中国东北农村地区，VAI和LAPI均与CKD显着相关。此外，VAI和LAPI仅在女性中预测CKD优于BMI，WC和WHtR。

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