• Journal of Korean Public Health Nursing
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• v.28 no.1
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• pp.22-31
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• 2014

Purpose: The purpose of this study was to examine the impact of body mass index (BMI) and waist circumference (WC) for pulmonary function in normal-weight and obese women. Methods: Data from women aged ${\geq}40$ years were obtained from the 2011 Korean National Health and Nutrition Examination Survey. Obesity was measured by BMI and WC and pulmonary function was measured by forced vital capacity (FVC), forced expiratory volume in 1 second ($FEV_1$), and a ratio between forced expiratory volume in 1 second ($FEV_1$/FVC). Multiple linear regression analysis was performed for assessment of the association between FVC, $FEV_1$, $FEV_1$/FVC and obesity variables. Results: BMI showed positive association with FVC, $FEV_1$, $FEV_1$/FVC, and WC showed positive association with $FEV_1$ and $FEV_1$/FVC in normal-weight women. BMI and WC showed negative association with FVC, $FEV_1$ in obese women. A 1 unit increase in BMI showed an association with a 25-mL reduction in FVC and a 19-mL reduction in $FEV_1$. A 1-cm increase in WC showed an association with a 6-mL reduction in FVC and a 4-mL reduction in $FEV_1$. Conclusions: BMI and WC showed negative association with pulmonary function in obese adult women. Therefore, obese women with reduced pulmonary function should be encouraged to lose weight for improvement of their pulmonary function.

• Journal of Physiology & Pathology in Korean Medicine
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• v.18 no.5
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• pp.1426-1436
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• 2004

There have been several reports on the relationship between G protein β3 subunit gene (GNB3), angiotensin converting enzyme gene (ACE), β3-adrenergic receptor gene (ADRB3), and β2-adrenergic receptor gene (ADRB2) genotype and obesity or obesity related disease. The objective of this study was to examine the relationship between the combinations of these four genes' polymorphism and probability of obesity related disease in Korean female subjects. The experimental group was consisted of 85 obese Korean female subjects (body mass index, BMI≥27㎏/㎡). To determine the polymorphism, genomic DNA was isolated, and PCR was performed. Serological examinations (fasting plasma glucose, FPG; aspartate aminotranferase, AST; alanine aminotransferase, ALT; total cholesterol, TC; triglyceride, TG; high density lipoprotein-cholesterol, HDL; low density lipoprotein-choles terol, LDL) were carried by an autoanalyzer and serological methods. BMI, waist circumference (WC), hip circumference and waist hip ratio (WHR) were measured. Consequencely in the analysis with grouping of general genotyping and variant allele carrier/non-carrier, the result was not significantly different within all gene combinations and polymorphic pairings except higher waist circumference in Arg16Arg group of ADRB2 codon16 (P=0.024). And there was no significantly contrast result about age, height, weight, AST and ALT that are index feature of liver and gall bladder disease in polymorphic pairings of gene combinations. However, the statistical analysis of waist-hip ratio and waist circumference that could be recognized as the physical type of obesity showed T-Arg16 pairing carrier in GNB3-ADRB2 codon16 combination had increased WHR and WC significantly (P=0.046 and P=0.015 respectively). Futhermore, the levels of total cholesterol (TC) and low density lipoprotein choresteral (LDL) were significantly lower in C-I pairing of GNB3-ACE combination (P=0.032 and P=0.005). These results suggest that the T-Arg16 pairing carrier in GNB3-ADRB2 codon16 gene might have increased waist circumference and C-I pairing carrier in GNB3-ACE combination have lower possibility of contraction of cardiovascular disease related cholesterol and LDL despite of obese state.

• Journal of Korean Medicine for Obesity Research
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• v.6 no.1
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• pp.69-80
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• 2006

Object : Waist circumference(WC), waist-hip ratio(WHR), waist-stature ratio(WSR), and body mass index(BMI) are commonly used for evaluating obesity. This Research were done to determine what is more sensitive obesity indexes(WC, WHR, WSR, BMI) Correlated with body composition such as body fat mass, body fat(%), visceral fat area, and fat free mass. And what is more sensitively correlated obesity indexes with % changes of body composition during weight reduction treatment. Methods : This clinical retrospective research were carried out 127 cases of female obese outpatients with weight reduction treatment during 1 month. Bioelectrical impedence analysis(for body composition) and body size(for anthropometric obesity indexes) were estimated in pre-treatment and post-treatment to evaluate the obesity indexes. Pearson correlation coefficients were used to select useful obesity index. Result & Conclusion : BMI is useful index for diagnosis and evaluation of obesity. WSR is sensitively correlated with visceral fat area and body fat(%). So, WSR is useful index for evaluating abdominal obesity and risk factors of metabolic syndrome. WC is correlated with both body fat mass and fat free mass. WHR is not optimal for diagnosis and evaluation of obesity.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.323-330
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• 2019

The purpose of this study was to investigate the effect of body mass index(BMI) and waist circumference(WC) on hemoglobin(Hb) in Korean Adult. This study analyzed the data of 2015, The Sixth KNHANES. Data were analyzed using descriptive statistics, t-test, ANOVA and Scheffe's test, Pearson correlation coefficient and multivariate logistic regression analysis(SPSS 25.0). The major findings, The subject's Hb In BMI, obese was the highest(F=97.862, p<0.001). The Hb In WC, $WC{\geq}90cm$ was higher for male(t=4.909, p<0.001), and $WC{\geq}85cm$ was higher for female(t=5.088, p<0.001). Hb has a significant positive correlated with BMI(r=0.188, p<0.001), WC(r=0.298, p<0.001). In male, Hyperhemoglobinemia was 2.30 times(p<0.001) higher in obese and 1.81 times(p<0.001) higher in $WC{\geq}90cm$. In female, Hyperhemoglobinemia was 1.99 times(p=0.002) higher in overweight, 5.66 times(p<0.001) higher in obese, and 4.27 times(p<0.001) higher in $WC{\geq}85cm$. In conclusion, adult obesity prevention and management programs should include exercises, diets, and education, and exercise interventions specifically for eliminating abdominal obesity.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.9
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• pp.4046-4053
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• 2011

In order to increase the accuracy and efficiency in measuring obesity conducted outside the hospitals, we examined not only the Body Mass Index and cutoff values of waist circumference of 3,281 adults but also considered their gender, age and various body characteristics. This study included 1,505 males (45.9%) and 1,776 females (54.1%) who visited the comprehensive health checkup center. The average body fat content of male participants was 22.2%, and their Body Mass Index was 24.4kg/$m^2$. The average Body Mass Index of female participants was 22.9kg/$m^2$. The average of waist circumference of male subjects was 86.2cm while that of female subjects was 76.9cm. The conventional method to measure obesity using BMI and WC only does not reflect the actual body fat which may change according to one's gender and age. Therefore, for those who visit individual's place to measure obesity outside the hospitals only based on BMI and WC, we need a new standard to measure obesity more accurately.

• Journal of Korean Biological Nursing Science
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• v.25 no.1
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• pp.32-42
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• 2023

Purpose: This study aimed to investigate the association between obesity and high-sensitivity C-reactive protein (hs-CRP) levels in Korean adults without cardiovascular disease (CVD). Methods: The subjects were 3,634 adults, and data were extracted from the seventh Korea National Health and Nutrition Examination Survey (KNHANES VII-3). A complex sampling design analysis was applied to reflect the stratified and clustered weights. The data were analyzed using the complex sample Rao-Scott chi-square test and multiple logistic regression analysis (in SPSS for Windows version 26.0). Obesity, according to body mass index (BMI), was defined as obesity (BMI = 25-29.9 kg/m²), high obesity (BMI = 30-34.9 kg/m²), and super-high obesity (BMI ≥ 35 kg/m²), and abdominal obesity (AO) was defined as a waist circumference (WC) ≥ 90 cm in males and WC ≥ 85 cm in females. Results: The odds ratios for moderate CVD risk (hs-CRP; 1-3 mg/dL) were 2.21, 4.16, and 7.13 in the obesity, high obesity, and super-high obesity groups, respectively, compared to the normal BMI group. The odds ratio for moderate CVD risk was 2.18 in males with AO and 1.88 in females with AO. The odds ratios for high CVD risk (hs-CRP > 3 mg/L) were 4.40 and 17.55 in the high obesity and super-high obesity groups, respectively, compared to the normal BMI group. Conclusion: This study provides evidence that early detection and prevention programs for CVD should include obesity-related interventions aiming to modulate hs-CRP.

• Journal of Integrative Natural Science
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• v.8 no.4
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• pp.305-312
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• 2015

The present study showed WHtR to be significantly better than BMI and WC for prediction of metabolic-related diseases in the middle-aged and older people in Korea, based on Bayesian ordered probit model analysis. The variations of WC, BMI and WHtR were compared according to the number of metabolic-related diseases such as hypertension, dyslipidemia, stroke, myocardial infarction, angina pectoris and diabetes. It was found that the three measures showed the similar variation except a very few extreme cases for age less than 40. For subjects over the age of 40, WC was not significant and WHtR gave more influence in greater variability than BMI on the number of metabolic diseases. Also, the rate of change for WHtR was higher than for BMI as the number of metabolic-related diseases increased. Specifically, the difference of the marginal effect of WHtR between no disease and only one disease was 1.81 times higher than that of BMI. Moreover, it was pointed out that the threshold value of WHtR for obesity should be considered differently by age.

• Journal of Preventive Medicine and Public Health
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• v.45 no.5
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• pp.316-322
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• 2012

Objectives: Abdominal obesity increases mortality and morbidity from cardiovascular disease and there is a possibility that smoking effects obesity. However, previous studies concerning the effects of smoking on obesity are inconsistent. The objective of this study was to examine whether smoking is positively related to abdominal obesity in men with type 2 diabetes. Methods: Subjects consisted of 2197 type 2 diabetic patients who visited Huh's Diabetes Center from 2003 to 2009. Indices of abdominal obesity were defined as visceral fat thickness (VFT) measured by ultrasonography and waist circumference (WC). Overall obesity was defined as body mass index (BMI). Results: Statistically significant differences in WC and VFT by smoking status were identified. However, there was no statistical difference in BMI according to smoking status. Means of WC and VFT were not significantly higher in heavy smokers and lower in mild smokers. Compared to nonsmokers, the BMI confounder adjusted odds ratio and 95% confidence interval for VFT in ex-smokers and current-smokers were 1.70 (1.21 to 2.39) and 1.86 (1.27 to 2.73), respectively. Conclusions: Smoking status was positively associated with abdominal obesity in type 2 diabetic patients.

• Nutrition Research and Practice
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• v.7 no.2
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• pp.139-145
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• 2013

There is a lack of data on metabolic risk factors during pre-puberty, which is important for identifying the subgroups of youth, at whom early interventions should be targeted. In this study, we evaluated the prevalence of metabolic risk factors and its subsequent relations with dietary patterns in Korean pre-pubertal children through a cross-sectional sample (n = 1,008; boys = 513) of pre-pubertal children (aged 8-9 years) from a sub-study of the Korea Metabolic Syndrome Research Initiatives (KMSRI) in Seoul, Korea. Measures of anthropometry and blood pressure as well as fasting blood samples were used in the analysis. A three-day food records were collected. The metabolic syndrome was defined according to the age-adjusted National Cholesterol Education Program Adult Treatment Panel III guidelines. An added metabolic risk score was calculated for each subject by summing the quintile values of the five individual risk factors. Among the 5 risk components of metabolic syndrome, high waist circumference (WC) was the major factor (P < 0.001). A significant increasing trend of the added metabolic syndrome risk score was observed with the increase of WC (P (trend) < 0.001) among both genders. The cutoff point for high WC for pre-pubertal children was 61.3 cm for boys and 59.9 cm for girls. The prevalence of high triglyceride (TG) values was significantly higher in girls than it was in boys (P < 0.01). Girls in the highest quintile of balanced dietary pattern scores had lower TG values (P (trend) = 0.032) than did those in the lowest quintile. Moreover, girls in the highest quintile of western dietary pattern scores showed increasing trend for the added metabolic risk score (P (trend) = 0.026) compared with those in the lowest quintile. Adverse associations exist between western dietary patterns and the accumulation of metabolic risks among girls, not in boys, even during pre-puberty.

• Clinical and Experimental Reproductive Medicine
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• v.51 no.1
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• pp.48-56
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• 2024

Objective: This study investigated the relationship of anthropometric and metabolic risk factors with seminal and sex steroidal hormone parameters in a screened population of healthy males. Methods: The participants were healthy young men without chronic or congenital diseases. The body composition parameters that we investigated were measured weight, height, and waist circumference (WC), as well as bioelectrical impedance analysis. Semen samples were analyzed for semen volume, sperm concentration, sperm motility and morphology, seminal pH, and liquefaction time. Biochemistry analysis, including glucose and lipid metabolism parameters, was conducted on fasting blood samples. Testicular volume was calculated separately for each testis using ultrasonography. Results: Body mass index exhibited an inverse association with total sperm count. WC showed negative correlations with numerous seminal parameters, including sperm concentration, total sperm count, sperm morphology, and follicle-stimulating hormone levels. The basal metabolic rate was associated with seminal pH, liquefaction time, and sperm motility. WC, fat mass percentage, and triglyceride levels exhibited negative correlations with sex hormone binding globulin. The measures of glucose metabolism were associated with a greater number of seminal parameters than the measures of cholesterol metabolism. C-reactive protein levels were inversely associated with sperm concentration and total sperm count. Conclusion: Anthropometric and metabolic risk factors were found to predict semen quality and alterations in sex steroidal hormone levels.