Abstract

Objectives To investigate the correlation between anthropometric obesity index and microalbuminuria(MAU). Methods Clinical data of 1170 cases were collected in the epidemiological survey database in 2012 chengyang district people's hospital of qingdao city. Urinary albumin(UAlb), urinary creatinine(UCr) and urinary albumin creatine rate(UACR)were randomly determined in the early morning, albumin creatine rate urinary (UACR) was calculated, , All patients were divided into normal albumin urine group (NAU group, 398 males, 409 femals) and microalbuminuria group (MAU group, 175 males, 188 females) according to the level of UACR. Anthropometric indexes and biochemical indexes were statistically analysed. Results ①Compared with the NAU group, age, fasting blood glucose(FBG), diastolic blood pressure(DBP), systolic blood pressure(SBP), serun urinary acid(SUA), waist circumference(WC), waist to height ratio(WTHR), waist to hip ratio(WHR) of the MAU group were higher than those of the NAU group , the difference was statistically significant (P WC>WHR in turn. ③By Using the receiver operating characteristic curve (ROC) analysis, in male population, the predictive MAU area under the curve of WTHR, WHR, WC was 0.68 (95%CI: 0.67~0.70), 0.64 (95%CI: 0.62~0.65), 0.57 (95%CI: 0.55~0.59) , respectively. Predictive point was 0.52, 0.90, 91.8 cm., in female population, the predictive MAU area under the curve of WTHR, WHR, WC was 0.71 (95%CI: 0.70~0.72 ), 0.69 (95%CI: 0.68~0.70) and 0.64 (95%CI: 0.62~0.65), respectively. Predictive point was 0.52, 0.84, 82. 5 cm. Conclusions ① The AOB population is a high-risk group of MAU.②WTHR is the best predictor, and cut-off point is 0.52, secondly WC and WHR, men are 89.6 cm and 0.88 cm, women are 84.5 cm and 0.84 cm. Key words: Key words Albuminuria; Obesity; Anthropometry

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