This study aimed to compare the predictive value of six selected anthropometric indicators for benign prostatic hyperplasia (BPH). Males over 50 years of age who underwent health examinations at the Health Management Center of the Second Xiangya Hospital, Central South University (Changsha, China) from June to December 2020 were enrolled in this study. The characteristic data were collected, including basic anthropometric indices, lipid parameters, six anthropometric indicators, prostate-specific antigen, and total prostate volume. The odds ratios (ORs) with 95% confidence intervals (95% CIs) for all anthropometric parameters and BPH were calculated using binary logistic regression. To assess the diagnostic capability of each indicator for BPH and identify the appropriate cutoff values, receiver operating characteristic (ROC) curves and the related areas under the curves (AUCs) were utilized. All six indicators had diagnostic value for BPH (all P ≤ 0.001). The visceral adiposity index (VAI; AUC: 0.797, 95% CI: 0.759-0.834) had the highest AUC and therefore the highest diagnostic value. This was followed by the cardiometabolic index (CMI; AUC: 0.792, 95% CI: 0.753-0.831), lipid accumulation product (LAP; AUC: 0.766, 95% CI: 0.723-0.809), waist-to-hip ratio (WHR; AUC: 0.660, 95% CI: 0.609-0.712), waist-to-height ratio (WHtR; AUC: 0.639, 95% CI: 0.587-0.691), and body mass index (BMI; AUC: 0.592, 95% CI: 0.540-0.643). The sensitivity of CMI was the highest (92.1%), and WHtR had the highest specificity of 94.1%. CMI consistently showed the highest OR in the binary logistic regression analysis. BMI, WHtR, WHR, VAI, CMI, and LAP all influence the occurrence of BPH in middle-aged and older men (all P ≤ 0.001), and CMI is the best predictor of BPH.
Middle Aged ; Male ; Humans ; Aged ; Prostatic Hyperplasia ; Obesity/epidemiology* ; Body Mass Index ; China/epidemiology* ; Waist-Height Ratio ; ROC Curve ; Waist Circumference ; Risk Factors

PURPOSE: This study aimed to evaluate the time trends of waist circumference (WC) and waist-height ratio (WHR), and to present WC and WHR distributions with optimal WHR cutoff for abdominal obesity in Korean children and adolescents. METHODS: We performed a retrospective cross-sectional analysis of data from 13,257 children and adolescents (6,987 boys and 6,270 girls) aged 6–18 years who were included in the third to sixth Korea National Health and Nutrition Examination Survey (KNHANES, 2005–2015). Linear regression analyses were used to identify secular changes in WC and WHR by age, sex, and KNHANES waves. A receiver operating characteristic curve analysis was used to determine the optimal WHR cutoff values for abdominal obesity and cardiometabolic risk factors. RESULTS: The mean WC and WHR distributions from 2005 to 2015 showed no significant secular changes between the KNHANES 4 waves (P for trend ≥0.05 in all ages and both sexes). The mean WCs in the present study were lower than those in the 2007 Korean National Growth Charts. The mean WHR at ages <13 years was statistically higher in the boys than in the girls, but did not significantly differ between the sexes among those aged 13 to 18 years. The optimal WHR cutoff for abdominal obesity was 0.48 (area under the curve, 0.985; 95% confidence interval, 0.985–0.985) in the 13- to 18-year-old adolescents. CONCLUSION: WC and WHR showed no secular changes over 10 years. The optimal WHR cutoff for abdominal obesity of 0.48 is useful for diagnosing and managing obesity and thus preventing obesity-related cardiometabolic complications in 13- to 18-year-old Korean adolescents.
Adolescent ; Child ; Cross-Sectional Studies ; Female ; Growth Charts ; Humans ; Korea ; Linear Models ; Nutrition Surveys ; Obesity ; Obesity, Abdominal ; Retrospective Studies ; Risk Factors ; ROC Curve ; Waist Circumference ; Waist-Height Ratio

No abstract available.
Adolescent ; Child ; Humans ; Waist-Height Ratio

BACKGROUND: This study investigated the association between changes in anthropometric indices and fasting insulin levels among healthy adolescents and whether the association differed by baseline obesity status. METHODS: This analysis was based on data collected for the JS High School study; 884 healthy adolescents aged 15 to 16 years followed up for 24 to 30 months were included. Changes in anthropometric indices and fasting insulin levels were computed as the difference between baseline and follow-up values. Multivariate linear regression models were used to determine the association between changes in anthropometric indices and fasting insulin levels. Based on body mass index (BMI)-for-age and waist circumference (WC)-for-age percentiles, participants were classified as normal weight (<85th percentile), overweight (85th percentile to <95th percentile), or obese (≥95th percentile). RESULTS: Changes in BMI, WC, waist-hip ratio, and waist-height ratio were significantly associated with changes in fasting insulin levels in both sexes (P<0.05). In analyses stratified by baseline obesity status, the association between change in BMI and change in fasting insulin was significantly stronger in overweight (males: standardized β=1.136; females: standardized β=1.262) and obese (males: standardized β=1.817; females: standardized β=2.290) participants than in those with normal weight (males: standardized β=0.957; females: standardized β=0.976) at baseline. Results were similar for changes in WC. CONCLUSION: Changes in anthropometric indices were positively associated with fasting insulin level increases. Moreover, those who were overweight or obese at baseline had a higher absolute increase in fasting insulin levels per one standard deviation unit increase in anthropometric indices than adolescents with normal weight.
Adolescent ; Body Mass Index ; Fasting ; Female ; Follow-Up Studies ; Humans ; Insulin ; Linear Models ; Obesity ; Overweight ; Waist Circumference ; Waist-Height Ratio ; Waist-Hip Ratio

Objective: To investigate the associations of obesity and physical activity with cognition in the elderly. Methods: A cross-sectional survey was conducted from October 2009 to June 2010 among people aged ≥50 years selected through multistage random cluster sampling in Shanghai. The subjects' body weight, body height, waist circumference and hip circumference were measured to calculate body mass index (BMI) and waist-hip ratio (WHR), and the data on self-reported physical activity level were collected through questionnaire survey. A comprehensive battery of cognitive tests was conducted to assess subjects' cognitive functions, including verbal recall, forward digit span (FDS), backward digit span (BDS), and verbal fluency (VF). General linear model was used to examine the associations of BMI, WHR and physical activity with cognition. Results: A total of 7 913 participants were included, with a median age of 60 years. Age, sex, education level, income level, BMI, WHR and physical activity level were significantly associated with cognitive scores in univariate analysis. After adjusted for age, sex, education level and income level, BMI was no longer significantly associated with cognitive scores in all cognitive functions (all P>0.01). WHR was significantly associated with VF score (P<0.01). Abdominally obese participants had lower VF score than non-abdominally obese participants (P<0.01). Physical activity level was significantly associated with all cognitive functions (P<0.01). Compared with participants with moderate physical activity level, participants with low physical activity level had lower scores in all cognitive functions (P<0.01). Conclusion: Abdominal obesity and low physical activity level were negatively associated with cognition level in the elderly, suggesting that waist circumference control and physical activity might help maintain cognition in the elderly.
Aged ; Body Height ; Body Mass Index ; Body Weight ; China ; Cognition/physiology* ; Cross-Sectional Studies ; Exercise ; Humans ; Middle Aged ; Obesity ; Surveys and Questionnaires ; Waist Circumference ; Waist-Hip Ratio

BACKGROUND/OBJECTIVE: Effective weight reduction remains a challenge throughout the world as the prevalence of obesity and its consequences are increasing. This study aimed to determine the effects of an individualized nutrition counseling program (IC) matched with a transtheoretical model (TTM) for overweight and obese subjects. SUBJECTS/METHODS: Fifty overweight and obese subjects aged 19-60 years with a body mass index ≥ 23 kg/m² were enrolled in the weight reduction study. They were randomized into two groups: Intervention group received an IC matched with a TTM; control group received an educational handbook. Body weight (BW), body fat (BF), waist circumference (WC), waist to height ratio (WHtR), stages of change (SOC), processes of change (POC), food intake, and physical activity (PA) were assessed at baseline and at 4, 8, and 12 weeks after program initiation in both groups. All data were analyzed by intention-to-treat, using SPSS software for hypothesis testing. RESULTS: Forty-five female subjects were included in the 12-week trial at Ramkhamhaeng Hospital, Bangkok, Thailand. The results showed significant weight loss (1.98 ± 1.75 kg; 3% loss of initial weight) in the intervention group at 12 weeks, compared to a 0.17 ± 1.67 kg loss in the control group. There were significant differences between intervention and control groups in BF mass (-1.68 ± 1.78, -0.04 ± 1.62 kg); percentage BF (-1.54 ± 2.11, 0.08 ± 2.05); WC (-5.35 ± 3.84, 0.13 ± 3.23 cm); WHtR (-0.0336 ± 0.02, -0.0004 ± 0.02), and energy consumption (-405.09 ± 431.31, -74.92 ± 499.54 kcal/day) in the intervention and control groups, respectively. Intragroup SOC was improved in both groups. The POC for the weight management action (WMA) process was significantly different with POC scores increasing by 16.00 ± 11.73 and 7.74 ± 14.97 in the intervention and the control groups, respectively. PA level did not change in either group. CONCLUSIONS: The IC matched with a TTM resulted in reductions in BW, BF, and WC, thus reducing likely health risks by decreasing energy intake and inducing positive behavior changes while enhancing the WMA process.
Adipose Tissue ; Behavior Therapy ; Body Mass Index ; Body Weight ; Counseling* ; Diet Therapy ; Eating ; Energy Intake ; Female* ; Humans ; Motor Activity ; Nutrition Therapy ; Obesity ; Overweight* ; Prevalence ; Thailand* ; Waist Circumference ; Waist-Height Ratio ; Weight Loss

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 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: Most type 2 diabetes mellitus patients are obese and have obesity related vascular complications. Exenatide treatment is well known for both decreasing glycated hemoglobin levels and reduction in body weight. So, this study aimed to determine the effects of exenatide on body composition, glycated hemoglobin levels, and vascular stiffness in obese type 2 diabetes mellitus patients. METHODS: For 1 month, 32 obese type 2 diabetes mellitus patients were administered 5 µg of exenatide twice daily. The dosage was then increased to 10 µg. Patients' height, body weight, glycated hemoglobin levels, lipid profile, pulse wave velocity (PWV), body mass index, fat mass, and muscle mass were measured by using Inbody at baseline and after 3 months of treatment. RESULTS: After 3 months of treatment, glycated hemoglobin levels decreased significantly (P=0.007). Triglyceride, total cholesterol, and low density lipoprotein levels decreased, while aspartate aminotransferase and alanine aminotransferase levels were no change. Body weight, and fat mass decreased significantly (P=0.002 and P=0.001, respectively), while interestingly, muscle mass did not decrease (P=0.289). In addition to, Waist-to-hip ratio and aortic PWV decreased significantly (P=0.006 and P=0.001, respectively). CONCLUSION: Effects of short term exenatide use in obese type 2 diabetes mellitus with cardiometabolic high risk patients not only reduced body weight without muscle mass loss, body fat mass, and glycated hemoglobin levels but also improved aortic PWV in accordance with waist to hip ratio.
Adipose Tissue ; Alanine Transaminase ; Aspartate Aminotransferases ; Body Composition ; Body Height ; Body Mass Index ; Body Weight ; Cholesterol ; Diabetes Mellitus, Type 2* ; Hemoglobin A, Glycosylated* ; Humans ; Lipoproteins ; Obesity ; Pulse Wave Analysis* ; Triglycerides ; Vascular Stiffness ; Waist-Hip Ratio

This study was conducted to assess the relationship between body composition and suicidal ideation among the Korean elderly population (n = 302; ≥ 65 years) who participated in the Hallym Aging Study in 2010. Body composition was measured using dual-energy X-ray absorptiometry, and obesity was measured by the indices of body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and body fat percentage. Sarcopenia was defined as presence of both low muscle mass and low muscle function. Suicidal ideation was assessed using the Beck Scale for Suicide Ideation. We found no differences in body composition measures between subjects with suicidal ideation and those without. In the logistic regression analyses, there were no significant relationships for suicidal ideation according to body composition measures, including BMI, WC, WHR, WHtR, and body fat percentage in both sexes. After adjusting for age, smoking status, alcohol drinking, regular exercise, medical comorbidities, monthly income, education level, and presence of depressive symptoms, the odds ratio (OR) of suicidal ideation was higher in elderly men with sarcopenia compared to those without, whereas no significant relationships were observed in elderly women (OR 8.28, 95% confidence interval [CI] 1.20-61.34 in men; OR 0.79, 95% CI 0.07-8.43 in women). Sarcopenia is closely associated with an increased risk of suicidal ideation in elderly men.
Aged ; *Aging ; Asian Continental Ancestry Group ; *Body Composition ; Body Height ; Body Mass Index ; Depression/epidemiology ; Female ; Humans ; Logistic Models ; Male ; Obesity/epidemiology ; Odds Ratio ; Republic of Korea ; Sarcopenia/*diagnosis/psychology ; *Suicidal Ideation ; Waist Circumference ; Waist-Hip Ratio