Objective To explore the relationship between insulin resistance (IR) indexes and hyperuricemia (HUA) among the people with hypertension. Methods From July to August in 2018,hypertension screening was carried out in Wuyuan county,Jiangxi province,and the data were collected through questionnaire survey,physical measurement,and biochemical test.Logistic regression was performed to analyze the relationship between HUA and IR indexes including metabolic score for IR (METS-IR),triglyceride-glucose (TyG) index,TyG-body mass index (BMI),TyG-waist circumference (WC),visceral adiposity index (VAI),triglyceride (TG)/high-density lipoprotein cholesterol (HDL-C),and lipid accumulation product (LAP).The penalty spline method was used for the curve fitting between IR indexes and HUA.The area under the receiver operating characteristic curve (AUC) was employed to reveal the correlation between each index and HUA. Results The 14 220 hypertension patients included 6 713 males and 7 507 females,with the average age of (63.8±9.4) years old,the average uric acid level of (418.9±120.6) mmol/L,and the HUA detection rate of 44.4%.The HUA group had higher proportions of males,current drinking,current smoking,diabetes,and using antihypertensive drugs,older age,higher diastolic blood pressure,WC,BMI,homocysteine,total cholesterol,TG,low-density lipoprotein cholesterol,blood urea nitrogen,creatinine,aspartate aminotransferase,alanine aminotransferase,total protein,albumin,total bilirubin,direct bilirubin, METS-IR, TyG, TyG-BMI, TyG-WC, VAI, TG/HDL-C, and LAP, and lower systolic blood pressure and HDL-C than the normal uric acid group (all P<0.05).Multivariate Logistic regression showed that METS-IR (OR=1.049,95%CI=1.038-1.060, P<0.001), TyG (OR=1.639,95%CI=1.496-1.797, P<0.001), TyG-BMI (OR=1.008,95%CI=1.006-1.010, P<0.001), TyG-WC (OR=1.003,95%CI=1.002-1.004, P<0.001), lnVAI (OR=1.850, 95%CI=1.735-1.973, P<0.001), ln(TG/HDL-C) (OR=1.862,95%CI=1.692-2.048, P<0.001),and lnLAP (OR=1.503,95%CI=1.401-1.613,P<0.001) were associated with the risk of HUA.Curve fitting indicated that METS-IR,TyG,TYG-BMI,TYG-WC,lnVAI,ln(TG/HDL-C),and lnLAP were positively correlated with HUA (all P<0.001),and the AUC of TyG index was higher than that of other IR indexes (all P<0.05). Conclusion Increased IR indexes,especially TyG,were associated with the risk of HUA among people with hypertension.
Male ; Female ; Humans ; Middle Aged ; Aged ; Insulin Resistance ; Hyperuricemia ; Uric Acid ; Hypertension/complications* ; Glucose ; Obesity, Abdominal/epidemiology* ; Triglycerides ; Bilirubin ; Cholesterol ; Blood Glucose/metabolism*

Objective: This study aimed to investigate the epidemiological characteristics of cardio-metabolic risk factors among children and adolescents aged 7-17 years in (Hebei, Zhejiang, Shaanxi, Hunan) 4 provinces of China and the influence of demographic and economic characteristics on them. Methods: A total of 1 747 children and adolescents aged 7-17 from a Community-based Cohort Study on Nervous System Disease in 2018 were selected. High waist circumference, central obesity, elevated TG, elevated TC, elevated LDL-C, decreased HDL-C, elevated blood pressure, elevated blood glucose, and clustering of risk factors was analyzed. χ² test was used for univariate analysis, multivariate logistic regression was used to analyze the correlation between demographic and economic factors and risk factors, and the Cochran-Armitage trend test was used for trend analysis. Results: The detection rates of high waist circumference, decreased HDL-C, elevated blood pressure, elevated TG, elevated blood glucose, central obesity, elevated TC, and elevated LDL-C were 29.08%, 15.28%, 13.17%, 13.05%, 11.79%, 7.33%, 6.53%, and 5.15%, respectively. The rate of clustering of risk factors was 18.37%. Multivariate logistic regression analysis showed that the risk of high waist circumference in girls was higher than that in boys (OR=1.67, 95%CI: 1.26-2.22), and the risk of elevated blood glucose and clustering of risk factors was lower than that in boys (OR=0.69, 95%CI: 0.49-0.99; OR=0.72, 95%CI: 0.53-0.99). The risk of high waist circumference, decreased HDL-C, and clustering of risk factors in 13-17 years old group was higher than that in the 7-year-olds group (OR=2.24, 95%CI: 1.65-3.04; OR=1.59, 95%CI: 1.20-2.11; OR=1.75, 95%CI: 1.26-2.44), but the risk of central obesity was lower (OR=0.54, 95%CI: 0.37-0.78). The risk of elevated TC, elevated TG, and decreased HDL-C in children and adolescents in southern was higher than that in northern parts of China (OR=1.88, 95%CI: 1.25-2.83; OR=1.61, 95%CI: 1.17-2.22; OR=1.55, 95%CI: 1.19-2.04), but the risk of high waist circumference and central obesity was lower than that in northern China (OR=0.57, 95%CI: 0.43-0.75; OR=0.62, 95%CI: 0.42-0.90). The risk of decreased HDL-C in rural children and adolescents was higher than in urban children and adolescents (OR=1.36, 95%CI: 1.02-1.83). The risk of multiple risk factors increased with the increase in average monthly household income per capita and BMI level. Conclusions: High waist circumference, decreased HDL-C and elevated blood pressure were prominent cardio-metabolic risk factors among children and adolescents aged 7-17 years in 4 provinces of China in 2018. The region, average monthly household income per capita, and BMI were the main influencing factors of cardio-metabolic risk factors.
Male ; Female ; Humans ; Child ; Adolescent ; Obesity, Abdominal/epidemiology* ; Cholesterol, LDL ; Blood Glucose ; Cohort Studies ; Body Mass Index ; Risk Factors ; Obesity ; Hypertension ; China/epidemiology* ; Waist Circumference

PURPOSE: This study determined which obesity measurement correlates the best with diabetes and prediabetes. MATERIALS AND METHODS: This cross-sectional study enrolled 1603 subjects (611 men, 992 women; age 30-64 years) at the Cardiovascular and Metabolic Diseases Etiology Research Center. Body mass index, waist circumference, waist-height ratio, waist-hip ratio, waist-thigh ratio, and visceral fat were used as measures of obesity. Visceral fat was acquired using dual-energy X-ray absorptiometry (DXA). The prevalences of diabetes and prediabetes were defined using the criteria in the American Diabetes Association 2015 guidelines. RESULTS: After adjusting for age and other potential confounding factors, participants with a visceral fat mass in the upper 10th percentile had a higher odds ratio (OR) for diabetes and prediabetes than the upper 10th percentile of other adiposity indices [men, OR=15.9, 95% confidence interval (CI)=6.4-39.2; women, OR=6.9, 95% CI=3.5-13.7]. Visceral fat mass also had the highest area under the curve with diabetes and prediabetes in both men (0.69, 95% CI=0.64-0.73) and women (0.70, 95% CI=0.67-0.74) compared to other anthropometric measurements of obesity. CONCLUSION: Visceral fat mass measured using DXA is an indicator of diabetes or prediabetes, due to its ability to differentiate between abdominal visceral and subcutaneous fat.
Absorptiometry, Photon ; *Adiposity ; Adult ; Anthropometry ; Asian Continental Ancestry Group/*statistics & numerical data ; Biomarkers/blood ; Body Mass Index ; Cross-Sectional Studies ; Diabetes Mellitus/*ethnology ; Female ; Humans ; *Intra-Abdominal Fat ; Male ; Middle Aged ; Obesity/complications/*ethnology ; Odds Ratio ; Prediabetic State/*ethnology ; Prevalence ; Prospective Studies ; Republic of Korea/epidemiology ; Waist Circumference

PURPOSE: To describe the relationship between the waist-to-height ratio (WHtR) and cardiometabolic risk factors (CMRFs) and to evaluate the validity of WHtR in identifying adolescents with metabolic syndrome. MATERIALS AND METHODS: We analyzed data from a pooled population of 4068 adolescents aged 10-19 years from the Korean National Health and Nutrition Examination Surveys conducted between 1998 and 2008. Overweight individuals were defined by body mass index (BMI) ≥85th percentile. Those with at least 2 CMRFs among hypertension, hyperglycemia, hypertriglyceridemia, and decreased high-density lipoprotein cholesterol (HDL-C) were classified as having multiple CMRFs. RESULTS: WHtR was significantly related to systolic blood pressure, HDL-C, and triglycerides in both non-overweight and overweight adolescents (all p<0.01). Among overweight adolescents, the area under the curve (AUC) for WHtR in identifying multiple CMRFs was significantly greater than that for BMI (p=0.014). Metabolic syndrome was more common in overweight adolescents with a WHtR of ≥0.5 than in those with a WHtR of <0.5 (p<0.001). In non-overweight adolescents, the prevalences of multiple CMRFs (p=0.001) and metabolic syndrome (p<0.001) were higher in those with a WHtR of ≥0.5 than in those with a WHtR of <0.5. Among those without central obesity, the prevalence of multiple CMRFs was higher in those with a WHtR of ≥0.5 than in those with a WHtR of <0.5 (p=0.021). CONCLUSION: WHtR is a simple and valid index for identifying adolescents with increased cardiometabolic risk and is related to CMRFs even in non-overweight adolescents. In adolescents already screened via BMI and waist circumference (WC), WHtR seems to be of additional help in discriminating those at higher cardiometabolic risk.
Adolescent ; Blood Pressure/physiology ; *Body Height ; Body Mass Index ; Cardiovascular Diseases/*epidemiology ; Child ; Cholesterol, HDL/blood ; Female ; Humans ; Hypertension/complications/epidemiology ; Male ; Metabolic Syndrome X/*epidemiology ; Nutrition Surveys ; Obesity, Abdominal/complications/*epidemiology ; Republic of Korea/epidemiology ; Risk Factors ; Triglycerides/blood ; *Waist Circumference/physiology ; *Waist-Height Ratio ; Young Adult

OBJECTIVETo examine the prevalence of obesity phenotypes and cardiometablic disorders (CDs) among children aged 6- 17 in Beijing from 2004 to 2013.

METHODSData were obtained from two cross-section surveys, which were conducted in 2004 and 2013. In 2004, by using stratified cluster sampling design, 20 primary or middle schools were selected from 7 districts (Xicheng, Dongcheng, Chaoyang, Haidian, Daxing, Pinggu, and Yanqing) in Beijing, and 20 554 school children aged 6-17 were recruited, with weight, height, waist circumference and blood pressure measured. Fasting plasma glucose (FPG), total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-C), and low density lipoprotein cholesterol (LDL-C) were measured in 962 subjects from one school. In 2013, by using the same sampling design, 7 211 students from two districts (Haidian and Dongcheng) were surveyed with weight, height, waist circumference and blood pressure measured, and fasting plasma glucose and lipid profile (TC, TG, HDL-C, LDL-C) were measured for 1 344 subjects in the same school measured in 2004. Student's-t test was used to analyze the difference in body mass index(BMI), WC, and waist to height ratio (WHtR) among children between 2004 and 2010. Chi-square test was used to analyze the difference of hypertension, impaired fasting glucose(IFG), dyslipidemia, and metabolic disorders clustering between 2004 and 2010, and among different types of obesity; logistic regression model was used to analyze the association between three types of obesity and risks of cardiovascular metabolic disorders.

RESULTSIn boys, BMI ((20.3 ± 4.4) vs (19.4 ± 4.2) kg/m(2), t=11.18, P<0.001), WC ((70.6 ± 12.8) vs (66.7 ± 11.8) cm, t=17.20, P<0.001) and WHtR (0.451 ± 0.064 vs 0.437 ± 0.059, t=11.64, P<0.001) were significantly higher in 2013 than those in 2004. Similarly in girls, BMI ((18.9 ± 3.6) vs (18.7 ± 3.7) kg/m(2), t=12.21, P<0.001), WC ((64.5 ± 9.6) vs (63.0 ± 9.3) cm, t=8.15, P<0.001) and WHtR (0.430 ± 0.047 vs 0.423 ± 0.047, t=14.13, P<0.001) were also significantly higher in 2013 than those in 2004. The prevalence of combined obesity rose from 8.27% (1 697/20 526) in 2004 to 10.74% (774/7 209) in 2013, and central obesity from 3.08% (632/20 526) to 4.44% (320/7 209). The prevalence of hypertension (10.78%(313/1 344) vs 4.29% (42/962), χ(2)=36.76, P<0.001), IFG(49.54%(664/1 344) vs 6.45%(63/962), χ(2)=506.61, P<0.001), high TC(11.53%(155/1 344) vs 5.03%(49/962), χ(2)=28.31, P< 0.001), high TG(7.51%(101/1 344) vs 3.59%(35/962), χ(2)=29.59, P<0.001) were significantly higher in 2013 than those in 2004. Subjects with combined obesity had higher risks of hypertension (OR=5.88, 95% CI: 4.42-7.82), high TG (OR=7.12, 95%CI: 4.35-11.64), low HDL-C (OR=3.04, 95%CI: 1.55-5.95), high LDL-C (OR=2.27, 95% CI: 1.22-4.02), CDs≥2 (OR=3.07, 95% CI: 2.09-4.50), comparing to children without obesity.

CONCLUSIONThe prevalence of types of obesity and obesity-related metabolic disorders, except for low HDL-C and high HDL-C, were significantly higher in 2013 than those 2004 among chlildren aged 6-17 year in Beijing. Children with combined obesity had higher prevalence of metabolic disorders.

Adolescent ; Beijing ; Blood Glucose ; analysis ; Blood Pressure ; Body Mass Index ; Body Weight ; Cardiovascular Diseases ; epidemiology ; Child ; Cholesterol, HDL ; blood ; Cholesterol, LDL ; blood ; Cross-Sectional Studies ; Dyslipidemias ; epidemiology ; Female ; Humans ; Hypertension ; epidemiology ; Lipids ; blood ; Logistic Models ; Male ; Obesity, Abdominal ; epidemiology ; Pediatric Obesity ; epidemiology ; Phenotype ; Prevalence ; Triglycerides ; blood ; Waist Circumference

OBJECTIVETo investigate the joint effect of birth weight and each of obesity measures (body mass index (BMI) and waist circumference (WC)) on abnormal glucose metabolism (including diabetes) at adulthood.

METHODSUsing the historical cohort study design and the convenience sampling method, 1 921 infants who were born in Beijing Union Medical College Hospital from June 1948 to December 1954 were selected to do the follow-up in 1995 and 2001 respectively. Through Beijing Household Registration and Management System, they were invited to participate in this study. A total of 972 subjects (627 were followed up in 1995 and 345 were followed up in 2001) with complete information on genders, age, birth weight, family history of diabetes, BMI, WC, fasting plasma glucose (FPG) and 2-hour plasma glucose (2 h PG) met the study inclusion criteria at the follow-up visits. In the data analysis, they were divided into low, normal, and high birth weight, respectively. The ANOVA and Chi-squared tests were used to compare the differences in their characteristics by birth weight group. In addition, multiple binary Logistic regression model was used to investigate the single effect of birth weight, BMI, and waist circumference on abnormal glucose metabolism at adulthood. Stratification analysis was used to investigate the joint effect of birth weight and each of obesity measures (BMI and WC) on abnormal glucose metabolism.

RESULTSThere were 972 subjects (males: 50.7%, mean age: (46.0±2.2) years) included in the final data analysis. The 2 h PG in low birth weight group was (7.6±3.2) mmol/L , which was higher than that in normal birth weight group (6.9±2.1) mmol/L and high birth weight group (6.4±1.3) mmol/L (F=3.88, P=0.021). After adjustment for genders, age, body length, gestation age, family history of diabetes, physical activity, smoking and alcohol consumption, and duration of follow-up, subjects with overweight and obesity at adulthood had 2.73 (95% confidence interval (CI) =2.06- 3.62) times risk to develop abnormal glucose metabolism when compared with norm weight ones. Likewise, subjects with central obesity were more likely to develop abnormal glucose metabolism than ones with normal waist (odds ratio (OR)=3.35, 95%CI=2.49-4.50). In addition, compared to subjects with normal birth weight and normal BMI at adulthood, ones with normal birth weight and overweight (including obesity) at adulthood were more likely to have abnormal glucose metabolism (OR= 2.60, 95%CI=1.94-3.49); subjects with low birth weight and overweight (including obesity) at adulthood had the highest risk for abnormal glucose metabolism (OR=4.70, 95% CI=1.84- 11.99). The attributable proportion of interaction between low birth weight and overweight (including obesity) at adulthood was 48.5%. In addition, compared to subjects with normal birth weight and normal WC at adulthood, one with normal birth weight and central obesity at adulthood were more likely to have abnormal glucose metabolism (OR=3.18, 95% CI=2.33- 4.32); subjects with low birth weight and central obesity at adulthood had the highest risk for abnormal glucose metabolism (OR=4.78, 95% CI=2.01- 11.38); subjects with high birth weight and central at adulthood also had high risk for abnormal glucose metabolism (OR=4.35, 95%CI=1.38- 13.65). We found that the attributable proportion of interaction between low birth weight and central obesity at adulthood was 38.5% , and was 28.3% for interaction between high weight and central obesity.

CONCLUSIONThere was strong interaction effect between birth weight and overweight (especially central obesity) at adulthood on abnormal glucose metabolism at adulthood. Effective measures should be adopted to prevent and control adult obesity in order to offset the adverse effect of birth weight on long-term health risk.

Adult ; Birth Weight ; Blood Glucose ; analysis ; Body Height ; Body Mass Index ; Cohort Studies ; Female ; Glucose ; metabolism ; Humans ; Male ; Middle Aged ; Obesity ; epidemiology ; Obesity, Abdominal ; epidemiology ; Odds Ratio ; Overweight ; epidemiology ; Waist Circumference

BACKGROUND/AIMS: Gallbladder polyps (GBP) are a common clinical finding and may possess malignant potential. We conducted this study to determine whether visceral obesity is a risk factor for GBP. METHODS: We retrospectively reviewed records of subjects who received both ultrasonography and computed tomography with measurements of the areas of visceral adipose tissue and total adipose tissue (TAT) on the same day as health checkups. RESULTS: Ninety-three of 1,615 subjects (5.8%) had GBP and were compared with 186 age- and sex-matched controls. VAT (odds ratio [OR], 2.941; 95% confidence interval [CI], 1.325 to 6.529; p=0.008 for the highest quartile vs the lowest quartile) and TAT (OR, 3.568; 95% CI, 1.625 to 7.833; p=0.002 for the highest quartile vs the lowest quartile) were independent risk factors together with hypertension (OR, 2.512; 95% CI, 1.381 to 4.569; p=0.003), diabetes mellitus (OR, 2.942; 95% CI, 1.061 to 8.158; p=0.038), hepatitis B virus positivity (OR, 3.548; 95% CI, 1.295 to 9.716; p=0.014), and a higher level of total cholesterol (OR, 2.232; 95% CI, 1.043 to 4.778; p=0.039 for <200 mg/dL vs > or =240 mg/dL). Body mass index and waist circumference were not meaningful variables. CONCLUSIONS: Visceral obesity measured by VAT and TAT was associated with GBP irrespective of body mass index or waist circumference.
Adipose Tissue/ultrasonography ; Adult ; Case-Control Studies ; Cholesterol/blood ; Diabetes Complications ; Female ; Gallbladder Diseases/blood/epidemiology/*etiology ; Hepatitis B/complications ; Humans ; Hypertension/complications ; Intra-Abdominal Fat/ultrasonography ; Male ; Middle Aged ; Obesity, Abdominal/blood/*complications/ultrasonography ; Odds Ratio ; Polyps/blood/epidemiology/*etiology ; Prevalence ; Retrospective Studies ; Risk Factors

BACKGROUND: Metabolic syndrome (MetS), a cluster of multiple metabolic abnormalities, is one of the major public health challenges worldwide. The current study was conducted to evaluate the association between sugar-sweetened beverage (SSB) consumption and MetS and its components in Iranian adults. METHODS: This cross-sectional study was conducted among 5,852 men and women, aged 19 to 70 years, who participated in the fourth phase (2009 to 2011) of the Tehran Lipid and Glucose Study. Demographics, anthropometrics, biochemical measurements, and blood pressure (BP) were assessed and MetS was defined by National Cholesterol Education Program Adult Treatment Panel III definition. Frequency and quantity of SSB intakes including carbonated drinks and synthetic fruit juices were collected using a validated semiquantitative food frequency questionnaire. RESULTS: Mean age of participants (43%, men) was 40.6+/-12.9 years. Significant positive associations between SSBs and waist circumference, triglyceride level, systolic and diastolic BP in the third and fourth quartile of SSBs were observed, after adjustment for all potential confounding variables. The odds of MetS in the third and fourth quartiles compared to the first quartile category of SSBs was 1.21 (95% confidence interval [CI], 1.01 to 1.45) and 1.30 (95% CI, 1.06 to 1.58), respectively (P for trend=0.03). The odds of MetS, abdominal obesity, low high density lipoprotein cholesterol and elevated BP had increasing trends across increasing of SSB consumption (P for trend <0.05). CONCLUSION: Higher intake of SSBs was associated with the higher odds of MetS in adults. It is suggested that reducing consumption of SSBs could be a practical approach to prevent metabolic abnormalities.
Adult* ; Beverages* ; Blood Pressure ; Carbonated Beverages ; Cholesterol ; Cholesterol, HDL ; Confounding Factors (Epidemiology) ; Cross-Sectional Studies ; Demography ; Education ; Female ; Fruit ; Glucose* ; Humans ; Male ; Obesity, Abdominal ; Public Health ; Triglycerides ; Waist Circumference

The aim of this study was to describe the incidence of metabolic syndrome and to identify five components as metabolic syndrome predictors. The final study included 1,095 subjects enrolled in a rural part of Daegu Metropolitan City, Korea for a cohort study in 2003. Of these, 762 (69.6%) subjects had participated in the repeat survey. During the five-year follow-up, incidence density was significantly higher for women than for men (men, 30.0/1,000 person-years; women, 46.4/1,000 person-years). In both men and women, incidence of metabolic syndrome showed a significant increase with increasing number of metabolic syndrome components at baseline. Compared with individuals presenting none of components at baseline, relative risks were increased 1.22 (men; 95% CI, 0.43-3.51), 2.21 (women; 95% CI, 0.98-4.97) times more for individuals with one component of metabolic syndrome and 5.30 (men; 95% CI, 2.31-12.13), 5.53 (women; 95% CI, 2.78-11.01) times more for those who had two components. In multivariate analysis, the most powerful risk factor for metabolic syndrome was abdominal obesity in men and low HDL-cholesterol in women (adjusted relative risk, 3.28, 2.53, respectively). Consequently, finding a high risk group for metabolic syndrome according to gender and prevention of metabolic syndrome through lifestyle modification are essential.
Adult ; Aged ; Cholesterol, HDL/blood ; Cohort Studies ; Diabetes Mellitus, Type 2/complications ; Female ; Follow-Up Studies ; Humans ; Hypertension/complications ; Hypertriglyceridemia/complications ; Incidence ; Male ; Metabolic Syndrome X/complications/*epidemiology ; Middle Aged ; Multivariate Analysis ; Obesity, Abdominal/complications ; Republic of Korea/epidemiology ; Risk Factors

BACKGROUND: We investigated the association of coronary artery calcium score (CACS) with body composition and insulin resistance in apparently healthy Korean adults. METHODS: Nine hundred forty-five participants (mean age, 48.9 years; 628 men) in a medical check-up program were selected for analysis. Body composition was assessed by bioelectrical impedance analysis (BIA). Insulin resistance was evaluated using the homeostasis model assessment of insulin resistance (HOMA-IR). The CACS was assessed by multidetector computed tomography. RESULTS: One hundred forty-six subjects (15.4%) showed coronary artery calcification and 148 subjects (15.7%) had metabolic syndrome. CACS showed a significant positive correlation with age, fasting glucose level, waist circumference (WC), blood pressure, hemoglobin A1c, HOMA-IR, and waist-hip ratio (WHR) assessed by BIA. CACS had a negative correlation with high density lipoprotein cholesterol (HDL-C). Subjects with high CACS showed significantly higher mean WHRs and lower mean values for lean body mass compared with subjects without coronary artery calcification. In logistic regression analyses with coronary artery calcification as the dependent variable, the highest quartile of WHR showed a 3.125-fold increased odds ratio for coronary artery calcification compared with the lowest quartile after adjustment for confounding variables. When receiver operating characteristics analyses were performed with coronary artery calcification as the result variable, WHR showed the largest area under the curve (AUC) value among other variables except for age and WC in women (AUC=0.696 for WHR, 0.790 for age, and 0.719 for WC in women). CONCLUSION: In our study population of apparently healthy Korean adults, WHR was the most significant predictor for coronary artery calcification among other confounding factors, suggesting that it may have implication as a marker for early atherosclerosis.
Adult ; Atherosclerosis ; Blood Pressure ; Body Composition ; Calcium ; Cholesterol ; Cholesterol, HDL ; Confounding Factors (Epidemiology) ; Coronary Vessels ; Electric Impedance ; Fasting ; Female ; Glucose ; Hemoglobins ; Homeostasis ; Humans ; Insulin Resistance ; Lipoproteins ; Logistic Models ; Obesity, Abdominal ; Odds Ratio ; ROC Curve ; Waist Circumference ; Waist-Hip Ratio