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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.
Int J Environ Res Public Health. 2016 12 13; 13(12)IJ

Abstract

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.

Authors+Show Affiliations

Department of Cardiology, the First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang 110001, China. 18240409506@163.com.Department of Cardiology, the First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang 110001, China. chang.ye@stu.xjtu.edu.cn.Department of Cardiology, the First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang 110001, China. chenyintao1990@126.com.Department of Cardiology, the First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang 110001, China. 13654004558@126.com.Department of Cardiology, the First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang 110001, China. yidasasa047717@hotmail.com.Department of Cardiology, the First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang 110001, China. guoxiaofan1986@foxmail.com.Department of Cardiology, the First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang 110001, China. yxsun@mail.cmu.edu.cn.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

27983609

Citation

Dai, Dongxue, et al. "Visceral Adiposity Index and Lipid Accumulation Product Index: Two Alternate Body Indices to Identify Chronic Kidney Disease Among the Rural Population in Northeast China." International Journal of Environmental Research and Public Health, vol. 13, no. 12, 2016.
Dai D, Chang Y, Chen Y, et al. Visceral Adiposity Index and Lipid Accumulation Product Index: Two Alternate Body Indices to Identify Chronic Kidney Disease among the Rural Population in Northeast China. Int J Environ Res Public Health. 2016;13(12).
Dai, D., Chang, Y., Chen, Y., Chen, S., Yu, S., Guo, X., & Sun, Y. (2016). Visceral Adiposity Index and Lipid Accumulation Product Index: Two Alternate Body Indices to Identify Chronic Kidney Disease among the Rural Population in Northeast China. International Journal of Environmental Research and Public Health, 13(12).
Dai D, et al. Visceral Adiposity Index and Lipid Accumulation Product Index: Two Alternate Body Indices to Identify Chronic Kidney Disease Among the Rural Population in Northeast China. Int J Environ Res Public Health. 2016 12 13;13(12) PubMed PMID: 27983609.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Visceral Adiposity Index and Lipid Accumulation Product Index: Two Alternate Body Indices to Identify Chronic Kidney Disease among the Rural Population in Northeast China. AU - Dai,Dongxue, AU - Chang,Ye, AU - Chen,Yintao, AU - Chen,Shuang, AU - Yu,Shasha, AU - Guo,Xiaofan, AU - Sun,Yingxian, Y1 - 2016/12/13/ PY - 2016/09/21/received PY - 2016/12/05/revised PY - 2016/12/07/accepted PY - 2016/12/17/entrez PY - 2016/12/17/pubmed PY - 2017/8/2/medline KW - chronic kidney disease KW - lipid accumulation product index KW - rural population KW - visceral adiposity index JF - International journal of environmental research and public health JO - Int J Environ Res Public Health VL - 13 IS - 12 N2 - 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. SN - 1660-4601 UR - https://www.unboundmedicine.com/medline/citation/27983609/Visceral_Adiposity_Index_and_Lipid_Accumulation_Product_Index:_Two_Alternate_Body_Indices_to_Identify_Chronic_Kidney_Disease_among_the_Rural_Population_in_Northeast_China_ L2 - https://www.mdpi.com/resolver?pii=ijerph13121231 DB - PRIME DP - Unbound Medicine ER -