OBJECTIVEThe aim of this study was to identify the appropriate cutoffs for waist-hip-ratio (WHR) for Kazakh adults at high risk of cardiovascular diseases in Xinjiang.

METHODSA Cardiovascular Risk Survey (CRS) study was carried out from October 2007 to March 2010, with 14 618 representative participants selected, including 4 094 Kazakhs. Complete data on 4 004 participants were gathered. The age span of the participants was from 35 to 88 years old with the mean age as 48.60 years. Anthropometric data, blood pressure, serum concentration of serum total cholesterol, triglyceride, low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C) and fasting glucose were documented. Prevalence rate, sensitivity, specificity and distance on the receiver operating characteristic (ROC) curve of each WHR values were calculated.

RESULTS1) The prevalence rates of hypertension, hypertriglyceridemia were high, also with higher WHR seen in both men and women. 2) The prevalence of hypercholesterolemia was high with higher WHR seen in women. 3) The shortest distances in the receiver operating characteristic curves for hypertension, dyslipidemia, diabetes, or ≥ 2 of these risk factors suggested that the WHR cutoffs were 0.92 or 0.91 for men and 0.86 or 0.85 for women.

CONCLUSIONHigher cutoff for WHR was needed in the identification of patients over 35 at high risk of cardiovascular disease among Kazakh population.

Adult ; Aged ; Aged, 80 and over ; China ; epidemiology ; Diabetes Mellitus ; epidemiology ; Dyslipidemias ; epidemiology ; Female ; Humans ; Hypertension ; epidemiology ; Male ; Middle Aged ; Reference Values ; Waist-Hip Ratio

OBJECTIVETo explore the appropriate waist-to-hip ratio (WHR) cutoffs to identify people at high risk of cardiovascular disease of Uygur population aged 35 years and over in Xinjiang.

METHODSThe cardiovascular risk survey (CRS) in Xinjiang was conducted from October 2007 to March 2010, using 4-stagestratified random sampling method and 14 618 representative participated this survey, and the questionnaire survey, anthropometric data, blood pressure, serum total cholesterol, triglyceride, low density lipoprotein (LDL-C), high density lipoprotein (HDL-C) and fasting glucose were measured. A total of 4 657 participants aged 35 years and over with complete anthropometric data were analyzed. The sensitivity, specificity and distance on the receiver operating characteristic (ROC) curve of different WHR levels predicting risk factors of cardiovascular disease were calculated. The analysis method of ROC curve was used to determine the optimum cut-off point of WHR predicting risk factors of cardiovascular disease.

RESULTS(1) There were significantly differences in prevalence of hypertension, diabetes mellitus, hypercholesterolemia, low HDL-C level, and hypertriglyceridemia between WHR < 0.75,0.75 ≤ WHR < 0.80,0.80 ≤ WHR < 0.85,0.85 ≤ WHR < 0.90,0.90 ≤ WHR < 0.95,0.95 ≤ WHR < 1.00, WHR ≥ 1.00 in male participants (P < 0.01 or 0.05), LDL-C level was similar among groups in males (P = 0.139). There were significantly differences in prevalence of hypertension, diabetes mellitus, hypercholesterolemia and hypertriglyceridemia between WHR < 0.75,0.75 ≤ WHR < 0.80,0.80 ≤ WHR < 0.85,0.85 ≤ WHR < 0.90,0.90 ≤ WHR < 0.95,0.95 ≤ WHR < 1.00, WHR ≥ 1.00 in female participants (all P < 0.01), and there were no significantly differences in prevalence of high LDL-C level and low HDL-C level among groups in females (both P > 0.05). (2) ROC analysis for hypertension, dyslipidemia, diabetes and ≥ 2 of these risk factors suggested a WHR cutoff of 0.92 for men and 0.90 for women as the optimal cutoff value for predicting high risk of cardiovascular disease of Uygur population aged 35 years and over in Xinjiang.

CONCLUSIONHigher WHR cutoffs are needed for screening people at high risk of cardiovascular disease among Uygur population aged 35 years and over in Xinjiang.

Adult ; Anthropometry ; Blood Pressure ; Cardiovascular Diseases ; diagnosis ; Diabetes Mellitus ; Dyslipidemias ; Female ; Humans ; Hypercholesterolemia ; Hypertension ; Hypertriglyceridemia ; Male ; Prevalence ; ROC Curve ; Risk Factors ; Triglycerides ; Waist-Hip Ratio