• The Journal of Internal Korean Medicine
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• v.21 no.3
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• pp.495-504
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• 2000

Objective : To assess the relationship and prevalence rate among hypertension, dyslipidemia and the four commenest anthropometric measurements for obesity(body mass index(BMI), waist-hip ratio(WHR), waist circumference(WC) and body fat) in Korean adults. Methods : We studied the cross-sectional association of the anthropometric indicies and hypertension, dyslipidemia in 70 Korean adults. Hypertension was defined as blood pressure ${\ge}160/95$mmHg and classification of JNC IV, Dyslipidemia were defined as total cholesterol ${\ge}200$ mg/dl, HDL-cholesterol ${le}35$ mg/dl, LDL-cholesterol ${\ge}160$ mg/dl, triglyceride ${\ge}200$ mg/dl. Infromations on life-style factors were obtained from personal interview. Results : BMI and WHR, BMI and WC, BMI and Fat(%), WHR and WC, WC and Fat(%) had high partial correlation coefficients after age adjustment. BMI and Systolic Blood Pressure had r=0.385 coefficients, WHR and HDL-cholesterol had r=-0.360 coefficients. All four anthropomtric indicies and hypertenstion groups by JNC IV classsification had signifiant differences in women, but only fat(%) and hypertension had significant difference in men. In women, in the relationship of four anthropomtric indicies and serum lipids, total cholesterol ${\ge}200$ mg/dl group with fat(%) had a signifiant difference for normal cholesterol group, and also the group of HDL-cholesterol ${\le}$ mg/dl with WC had significance. But in men, there were no significant differences in all anthropomtric indicies and serum lipids groups. Conclusions : Korean women are more significant than Korean men in the relationship between anthropometric indicies and serum lipids, or blood pressure. But this study's samples are small, so the results are some different with results of other studies. We should study more specifically about anthropometric indicies and serum lipids, anthropometric indicies and blood pressure with many samples.

• Fashion & Textile Research Journal
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• v.6 no.2
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• pp.221-228
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• 2004

The purpose of this study was to compare somatotypes from various classification methods, to analyze the interrelation among each somatotype or each high frequency type, and to suggest the basis to interpret body size and shape more accurately. As a sample, the subjects were 97 Korean females between 18 and 24 years old. They were measured both anthropometric and photographic measuring in November, 1999. Their somatotypes were classified by three kinds of classification methods. The first method was based on the lateral view of body, the second involved Factor and Cluster analysis with the photographic measurements of anterior and lateral body, and the third involved Factor and Cluster analysis with the anthropometric measurements of whole body. The upper body was classified into three types, and the lower body was classified into 6 types from the lateral view of body. The bend-forward/q-2 was found to be the 'High-frequency type from the lateral view of body', and the Straight/n-1 was found to be the 'Straight type from the lateral view of body'. From the classification by the analysis of photographic measurements, the anterior body was classified into three types, the lateral was classified into 4 types. The X/${\varepsilon}$ type was found to be the 'High-frequency type from the analysis of photographic measurements of anterior and lateral body'. From the classification by the analysis of anthropometric measurements, the whole body was classified into three types. The i type was found to be the 'High-frequency type from the analysis of anthropometric measurements of whole body'. The significant interrelation was certified among some somatotypes or some High-frequency types. We found that both the view of body and the statistical analysis would make the clear definition of each somatotype possible. In order to certify the representativeness of High-frequency type, further analysis would be required of subjects who were in the High-frequency type and their body parts were in the High-frequency range.

• Proceedings of the Korean Association for Survey Research Conference
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• 2003.06a
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• pp.42-58
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• 2003

The Korean Anthropometric Survey (Size Korea) is a sample survey which estimates on percentiles of several dimensional measurements of the human body arid its component parts. The purpose of this study is to design a sample, which is designed on the base of 1997 survey database. Two different methods are considered to get the sample size for estimating the 5th and 95th percentile of body dimensions of Korean age range 0-80 years.

• Proceedings of the ESK Conference
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• 1997.04a
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• pp.247-255
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• 1997

In this study, the comparison of the basic human body measurement definitions and anthropometric terms between the Korean Standard and the International Standard. Measurement definitions, measurement method and measurement terms of the international standard ISO 8559, 7250 were compard with the KSRI-88-103-IR. We have tried to suggest the new methods and new terms such as eye height, waist height, arm length.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.18 no.36
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• pp.41-47
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• 1995

This study present a systematic and more economical anthropometric technique to acquire 3-D anthropometric data by the use of moire interferometry, image processing and computer vision techniques. An experiment was performed to measure in anthopometric variables (head and face), such as head length, head breath, length of ear to top of head, contained face areas, etc. We took fourty-five subjects with wide range of ages(18 years to 33 years old). The face area was calculated based on contour information. The results were then compared with plaster bandage methods. It turned out that the proposed method had 90.85% consistancy.

• Journal of the Ergonomics Society of Korea
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• v.26 no.1
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• pp.103-109
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• 2007

Representative human models (RHMs), a group of digital human models which represent the people of the target population within a designated percentage (e.g., 95%), are used for ergonomic design and evaluation in virtual environments. The present study evaluated the grid approach, a RHM generation method, in terms of accommodation percentage. RHMs generated from the grid approach dramatically decreased the accommodation percentage of the target population as the number of anthropometric dimensions under consideration increased. For example, the accommodation percentages by RHMs generated by the grid approach were 95% for 3 key dimensions (selected among 10 anthropometric dimensions), 45% for 5 dimensions, and 10% for 10 dimensions. A standardized multiple regression analysis found that this decreasing accommodation percentage was caused by low correlations between key dimensions and other dimensions. The accommodation evaluation process used in the present study is applicable to evaluation of other RHM generation methods.

• Journal of Nutrition and Health
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• v.23 no.2
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• pp.93-107
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• 1990

The purposes of this investigation were to determine the validity of various methods (available anthropometric equations and near-infrared light interactance) for estimating body fat and to develop multiple regression equations for the prediction of body fat. Thirty-eight healthy males(age: 20.87$\pm$7.17 yrs) and 12 females(19.58$\pm$2.19 yrs) underwent hydrostatic weighing to determine body fat. Anthropometric measurements were taken of height, weight, nin skinfolds and thirteen circumferences. The results obtained are summarized as follows: 1) Relative body fat determined by underwater weighing was 12.08$\pm$5.21% for the males and 17.97$\pm$5.75% for the females. 2) Circumference and skin fold that had the highest correlation with the body fat were waist girth in males and females(r=0.60, r=0.96, respectively), and subscapular in males(r=0.68) and triceps in females(r=0.96). 3) Corss-validation of 18 selected equations on males revealed total errors ranging from 3.76% to 5.06%. Among these equations, M3(Pollock et al.) demonstrated the least total error. Total error of estimation by near-infrared(NIR) was less than that of available anthropometric measurement equations. The results of the cross-validation of 12 equations on females revealed that F3(Sloan et al.) was clearly superior in accuracy of prediction. 4) Correlational analyses showed that estimation of body fat by NIR measurement seemed to be more closely associated with body fat determined by underwater weighing in women than men, in older subjects than younger ones, and in fatter subjects than leaner ones.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.2
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• pp.1-7
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• 2015

As a measure of health, the percentage of body fat has been utilized for many ergonomist, physician, athletic trainers, and work physiologists. Underwater weighing procedure for measuring the percentage of body fat is popular and accurate. However, it is relatively expensive, difficult to perform and requires large space. Anthropometric techniques can be utilized to predict the percentage of body fat in the field setting because they are easy to implement and require little space. In this concern, the purpose of this study was to find a regression model to easily predict the percentage of body fat using the anthropometric circumference measurements as predictor variables. In this study, the data for 10 anthropometric circumference measurements for 252 men were analyzed. A full model with ten predictor variables was constructed based on subjective knowledge and literature. The linear regression modeling consists of variable selection and various assumptions regarding the anticipated model. All possible regression models and the assumptions are evaluated using various statistical methods. Based on the evaluation, a reduced model was selected with five predictor variables to predict the percentage of body fat. The model is : % Body Fat = 2.704-0.601 (Neck Circumference) + 0.974 (Abdominal Circumference) -0.332 (Hip Circumference) + 0.409 (Arm Circumference) - 1.618 (Wrist Circumference) + $\epsilon$. This model can be used to estimate the percentage of body fat using only a tape measure.

• Journal of the Korean Society of Physical Medicine
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• v.18 no.2
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• pp.23-31
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• 2023

PURPOSE: This study examined the anthropometric and clinical risk factors and the prevalence of sarcopenia in women aged 40 to 49 years. METHODS: The study design is a cross-sectional research and a total of 2,055 participants were included. The participants were divided into two groups based on their skeletal muscle mass index score. One hundred and twenty-six individuals were assigned to a sarcopenia group, and 1,939 were assigned to a normal group. The following variables were analyzed: age, height, weight, body mass index, waist circumference, skeletal muscle mass index anthropometric measure, systolic blood pressure, diastolic blood pressure, blood laboratory tests, fasting glucose, triglyceride, total cholesterol, and smoking and drinking smoking statuses. RESULTS: The prevalence of sarcopenia was 6.5% (95% CI: 5.33-7.92). Anthropometric variables, such as height, BMI, and waist circumference, showed significance differences between the two groups (p < .05), except for weight variable (p > .05). In terms of blood pressure and blood lab tests, the systolic blood pressure, diastolic blood pressure, fasting glucose, triglyceride, and total cholesterol were all significant risk factors for sarcopenia in the two groups. (p < .05). CONCLUSION: This study identified risk factors and the prevalence of sarcopenia among community-dwelling middle-aged women.

• Nutrition Research and Practice
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• v.17 no.4
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• pp.698-716
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• 2023

BACKGROUND/OBJECTIVES: The aim of this study was to evaluate the sensory properties of antioxidant-rich bread made by adding pomegranate peels and their effects on anthropometric measurements and metabolic and oxidative parameters of individuals with type 2 diabetes after consumption. SUBJECTS/METHODS: This randomized, double-blind, placebo-controlled study was conducted with 22 individuals aged between 19 and 64 years who had been diagnosed with type 2 diabetes for at least 5 years, used only metformin, did not lose more than 10% of their body weight in the last 6 months, and had a body mass index of ≥ 25.0 kg/m². While the study group (n = 11) consumed bread containing 500 mg pomegranate peel daily for 8 wk, the control group (n = 11) consumed standard bread. Anthropometric measurements and metabolic and oxidative parameters of individuals were evaluated at the beginning and end of the study. RESULTS: Decreases were detected in the waist circumference, waist/hip and waist/height ratios, body fat percentages, blood pressure, and serum insulin, triglyceride, and total cholesterol levels in the individuals in the treatment group, compared with those in the control group (P < 0.05). CONCLUSIONS: Pomegranate peel consumption by individuals with type 2 diabetes may have positive effects on anthropometric measurements and glycemic and lipid parameters.