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

OBJECTIVETo investigate the combined effects of alcohol consumption and obesity hypertension risk.

METHODSBased on data from program "Prevention of multiple metabolic disorders and metabolic syndrome in Jiangsu province", Baseline data were obtained in April 1999 to Jun 2004, we conducted the follow up investigation from March 2006 to October 2007 for subjects, those follow up time meet 5 years. A total of 4 083 participants completed the follow-up survey, and 2 778 eligible participants for final analysis. In the baseline and follow up survey, participants returned a completed questionnaire with information on diet, education, occupation, lifestyle factors, and medical history. Data on demographic characteristics, physical examination and laboratory tests were also obtained. Cox proportional hazards regression model was used to investigate the association between body mass index (BMI), waist circumference (WC) and waist to height ratio (WHtR). Logistic regression model was used to examine the interaction of alcohol consumption with WC, BMI and WHtR on risk of hypertension and the relative excess risk due to interaction (RERI), the attributable proportion due to interaction (AP), and the synergy index (SI) were calculated. If the 95% CI of SI do not include 1, the 95% CI of RERI and AP do not include 0, the interactions are statistically significant.

RESULTSIn the study subjects, 660 patients (254 males and 406 females) were new cases, who developed hypertension by the follow-up investigation. The mean of WC, BMI and WHtR were (23.3 ± 3.2) kg/m(2), (77.7 ± 9.0) cm and 0.49 ± 0.06, were higher than that in normal subjects ((22.4 ± 3.0) kg/m², (74.8 ± 8.5) cm and 0.47 ± 0.05, all P values < 0.001). After adjustment for age, sex, smoking status, family history of hypertension, the hazard ratio of EH for participants with obesity, high WC, high WHtR and alcohol consumption were higher, the HR (95% CI) were 2.12 (1.46-3.10), 1.64 (1.32-2.03), 2.80 (1.73-4.59) and 1.65 (1.29-2.12). HR (95% CI) of subjects with both abnormal BMI and current alcohol consumption was 2.76 (2.45-3.17), SI (95% CI) was 1.60 (0.48-5.28), RERI(95%CI) was 0.66 (-0.47-1.79) and AP was 0.24 (-0.22-0.69), HR (95% CI) of subjects with both high WC and current alcohol consumption was 4.93 (2.87-8.49), SI(95% CI) was 4.49(1.97-10.22), RERI (95%CI) was 3.06 (0.48-5.64) and AP(95% CI) was 0.62 (0.41-0.83), HR (95% CI) of subjects with both high WHtR and current alcohol consumption was 2.80 (1.73-4.59), SI (95% CI) was 2.14 (0.88-5.17), RERI was 0.96 (0.48-5.64) and AP (95% CI) was 0.34 (0.03-0.68).

CONCLUSIONBoth obesity, high WC, high WHtR, and alcohol consumption were strong risk factors of EH, and impact of an additive interaction of alcohol consumption and high WC on EH risk existed.

Alcohol Drinking ; epidemiology ; Body Mass Index ; Female ; Humans ; Hypertension ; epidemiology ; Incidence ; Logistic Models ; Male ; Obesity ; epidemiology ; Proportional Hazards Models ; Risk Factors ; Waist Circumference ; Waist-Height Ratio

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

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

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

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

The aim of this study was to represent the trend of early menarche and to assess the association of age at menarche with anthropometric profiles of Korean children and adolescents. A cross sectional survey was conducted with 13,371 girls aged 10 to 18 yr, recruited nationwide from April, 2005 to March, 2006. Height, weight and waist circumference of the subjects were measured; and the subjects self-reported their ages at menarche. We found that the menarcheal girls were taller (P<0.05 for the girls between 10 and 14 yr) and heavier (P<0.05 for the girls between 10 and 18 yr) than non-menarcheal ones. Menarcheal girls also showed higher body mass index (BMI), and greater waist circumference than non-menarcheal ones. Significant differences were represented according to the age at menarche in terms of BMI, waist circumference, % body fat mass, waist hip ratio and neck circumference as well as height and weight (P<0.05). In conclusion, girls who matured early were taller and heavier in early adolescence than those who matured later.
Adolescent ; Body Fat Distribution ; Body Height ; Body Mass Index ; Body Weight ; *Body Weights and Measures ; Child ; Cross-Sectional Studies ; Female ; Humans ; Menarche/*physiology ; Republic of Korea ; Waist Circumference ; Waist-Hip Ratio

BACKGROUND: It is generally known that the principle treatment of obesity is life-style modification and behavior therapy for weight reduction. This study was carried out to investigate the effect of office-based education for weight control and behavior modification in overweight patients. METHODS: We selected 119 patients among the overweight or obese (BMI >or=23 kg/m2) patients who visited the Department of Family Medicine at Asan Medical Center. Life styles such as diet, exercise, smoking, and alcohol drinking were evaluated by self-questionnaire. Weight, height, body mass index, waist circumference, waist to hip ratio, and body fat were measured. The patients were divided randomly into two groups, the intervention (n=60) and the control (n=59) group. We educated the intervention group about the importance of weight reduction, life-style modification and provided specific guidelines. Two months later, we measured anthropometric variables and evaluated changes of behavior modification. RESULTS: After two months, 28 patients of the intervention group and 22 patients of the control group were followed up. At the follow-up time, the body weight and waist circumference decreased significantly in the intervention group compared with those of the control group. The exercise time increased significantly in the intervention group compared to the control group. The frequency of fatty meal ingestion decreased significantly in the intervention group. CONCLUSIONS: The office-based education for weight reduction in overweight or obese patients has contributed substantially in changing their life-style and reducing their waist circumference. As a result, we have found that patient education for behavior modification was essential part of comprehensive approach for weight control in overweight patients.
Adipose Tissue ; Alcohol Drinking ; Behavior Therapy* ; Body Height ; Body Weight ; Chungcheongnam-do ; Diet ; Eating ; Education ; Follow-Up Studies ; Humans ; Life Style ; Meals ; Obesity ; Overweight* ; Patient Education as Topic* ; Smoke ; Smoking ; Waist Circumference ; Waist-Hip Ratio ; Weight Loss

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