• Journal of the Ergonomics Society of Korea
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• v.31 no.1
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• pp.247-254
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• 2012

Objective: The objective of the study is to analyze adult men's somatotype characteristics, age range from 20s to 50s comparing the direct anthropometric measurement values and to provide the basis information for developing clothing patterns. Background: The comparative study among the age groups is very fundamental to understand the body characteristics of each subjects group. Therefore, comparison of body measurements in age groups was applied in this study. Method: The anthropometric data from the $5^{th}$ Anthropometry of Size Korea(2004) and $6^{th}$ Anthropometry of Size Korea(2010) were applied for the data analysis. Results: As a result, the chest depth/chest width index(the value of chest depth divided by chest width) was increased and the waist depth/waist width index was decreased in all age groups. In addition, the hip depth/hip width index was decreased in age of 20's and 50's. This means that the chest width and hip width were decreased and the waist width were increased. From the data of the 5th Size Korea, the obese men(BMI: 25~30) in the 50s showed the highest percentage of 47.1%, and 44.8% of obese men(BMI: 25~30) in the 40s recorded the highest rate base on the data of the 6th Size Korea. Conclusion: It is concluded that the some differences were showed between the 5th anthropometric data and the 6th data. In particular, obesity tendencies of men in their 20's and 30's were observed significantly compared to other age groups. Application: These findings from the study can be utilized men's wear design and construction that reflect body characteristics.

• The Journal of Korean Physical Therapy
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• v.14 no.4
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• pp.119-130
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• 2002

The purpose of this study was to evaluate hemodynamics of intracranial blood flow for obtain clinically useful reference values and assess cerebral hemodynamics change with aging. 81 normal Korean subjects(age, 14$\thicksim\∼\thicksim$70 years) examined who han no history of neurologic disease and the subjects divided into group A(age, 14$\∼$39 years), group B(age, 40$\∼$59 years) and group C(age, 60$\∼$70 years). Transcranial doppler was use for measured the maximum velocity(Vmax), mean velocity(Vmean), pulsatility index(PI), resistive index(RI), stenosis index(SI) and depth of sample volume. Vmax was 99.1 1cm/s, Vmean was 63.57cm/s, PI was 0.85, RI was 0.56, SI was 31.94 and depth of sample volume was 52.35 in middle cerebral artery. Vmax was 85.54cm/s, Vmean was 52.52cm/s, PI was 0.82, RI was 0.55, SI was 34.48 and depth of sample volume was 73.62 in anterior cerebral artery. Vmax was 75.45cm/s, Vmean was 45.60cm/s, PI was 0.82, RI was 0.58, SI was 36.14 and depth of sample volume was 62.35 in posterior cerebral artery. Vmax was 70.44cm/s, Vmean was 47.07cm/s, PI was 0.87, RI was 0.58, SI was 29.83 and depth of sample volume was 75.23 in basilar artery Vmax was 63.92, Vmean was 42.42, PI was 0.89, RI was 0.58, SI was 29.89 and depth of sample volume was 66.65 in vertebral artery. Vmax and Vmean was significantly decreased with increasing age in middle cerebral artery, anterior cerebral artery, posterior cerebral artery, basilar artery and vertebral artery And PI and RI was significantly increased with increasing age in basilar artery and vertebral artery. And I suggest that transcranial doppler sonography can be used as one of useful clinical tool for detection of cerebral hemodynamics.

• Journal of Nutrition and Health
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• v.37 no.3
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• pp.210-222
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• 2004

In recent years, the number and proportion of Korean elderly have grown rapidly, and elderly individuals show a disproportionate risk for poor nutritional status. The purpose of this study was to examine the relationship of sociodemographic background to nutrient intake of persons 65 years of age or older, living in 15 cities in Korea. Data on 1973 subjects (603 males, 1370 females), who participated in the Korean Elderly Nutrition Survey (2000), were analyzed. Their mean age was 72.3 years and their mean body mass index (BMI) was 24.2 kg/$m^2$. Basic sociodemographic data were obtained through personal interviews. The 98-item semi-food frequency questionnaire, developed and previously validated for Korean middle-aged and elderly subjects, was administered. “Percentage of subjects who consumed under 75％ Korean RDA,” “number of nutrients consumed below 75％ Korean RDA,” “mean nutrient adequacy ratio,” and “nutrient density” were used to determine nutritional status. Male elderly had better nutritional quality than female elderly. Nutritional quality decreased with age, especially in older elderly (over 75). Elderly who were underweight (BMI 〈 20 kg/$m^2$) showed poorer nutritional quality than those who were normal weight (BMI 20∼25 kg/$m^2$) and overweight (BMI $\geq$ 25 kg/$m^2$). Elderly who lived alone had significantly poorer nutritional quality than those who lived with a spouse, and/or with children. Lower education level and economic dependence also showed lower nutritional quality. A stepwise multiple regression analysis was performed to examine the effects of specific sociodemographic factors on nutritional quality. For number of nutrients under 75％ RDA as a dependent variable, education level explained 4.8％ of the variance, followed by living status, age, body mass index, gender, and living expense support (Model $R^2$ = 0.091). For mean nutrient adequacy ratio as a dependent variable, model $R^2$ was 0.098. Therefore, sociodemographic variables such as gender, age, body mass index, living status, educational level, and economic status influenced elderly nutrition status. These results indicate that an elderly nutrition intervention should focus on subjects who are poorly educated, living alone, age 75 or older, and/or underweight.

• Archives of Craniofacial Surgery
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• v.12 no.1
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• pp.6-11
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• 2011

Purpose: The cephalic index (CI) is used to classify the head and every race has its unique characteristics. Previous studies published in Korea were limited to demonstrating the periodical change of the CI. This study was done to determine the CI change in 0 to 20 year-old Koreans by sex and age. Methods: The measurement was done on 1,222 Koreans ranging from 0 to 20 years of age, randomly selected from 2,156 who were diagnosed with simple concussion, had no other diseases or anomalies, and took cephalographs from January, 2000 to July, 2008. The files were obtained from $Marosis^{(R)}$ and then photogrammetry was done by $Photoshop^{(R)}$. To standardize the cephalograph, the Frankfort horizontal line was selected as the reference line on lateral view and the line connecting both lateral-orbitales on AP view. The maximal length was obtained from the lateral cephalograph and the maximal breadth from the AP cephalograph. Results: The CI showed no difference by sex (p=0.4848). The CI and age showed negative correlation (p<0.0001). Analyzed separately by the male and the female, the CI showed statistical significance in the male (p<0.0001), but not in the female (p=0.4741) group. Comparing the CI above the age of 11, the CI of the female became greater than that of the male. Conclusion: This study contributes to the standardization of CI measurement and the authors were able to obtain the average CI by age. We concluded that the CI decreased according to age and most Koreans belonged to barchycephalic or hyperbrachycephalic.

• Korean Journal of Clinical Laboratory Science
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• v.50 no.4
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• pp.477-483
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• 2018

Transcranial doppler is a non-invasive method that measures the blood flow velocity and the direction of cerebral blood vessels through the doppler principle. The pulsatility index is an index for measuring the transcranial doppler that reflects the distal vascular resistance and is used as an index for the presence and diffusion of cerebral small vessel diseases. The purpose of this study was to evaluate the risk factors affecting the basilar artery pulsatility index in ischemic stroke patients. From January 2014 to May 2015, 422 patients were selected by measuring the transcranial doppler pulsatility index, considering their basilar artery pulsatility index. Univariate analysis was performed using the basilar artery pulsatility index as a dependent variable. Multiple regression analysis was performed considering the factors affecting the pulsatility index as variables. Univariate analysis revealed age, presence of hypertension, presence of diabetes mellitus, presence of hyperlipidemia, and hematocrit (P<0.1) as factors. Multiple regression analysis showed statistically significant results with age (P<0.001), presence of diabetes (P=0.004), and presence of hyperlipidemia (P=0.041). The risk factors affecting the basilar artery pulsatility index of transcranial doppler were age, diabetes, and hyperlipidemia. Further research will be needed to increase the cerebral pulsatility index as a surrogate marker of the elderly, diabetes, and hyperlipidemia.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.433-438
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• 2004

In this paper, we at first describe the linear age-dependent population system. In addition, we introduce the nonlinear population system. Using these age-dependent population systems, we evaluate the stability of these age-dependent population systems and determine the optimal birth rates that realize a target distribution which relaxes an aging population. In this paper, we focus on Japan's population and we use the amount of demographic statistics of Japan in year 2000.

• The Research Journal of the Costume Culture
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• v.18 no.1
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• pp.93-108
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• 2010

R$\ddot{o}$hrer index, Vervaeck index and Body Mass Index(BMI) are frequently used in order to judge obese subjects in clothing & textiles field. However, there are no certain criteria of judging the degree of obesity. Each researcher utilized these obesity indices according to their own criteria so far. Therefore, the purpose of the study is to suggest a reliable obesity index and new criteria for judging the degree of obesity. The results are as follows; Utilizing frequency analysis, main percentiles, minimums, maximums and ranges were presented by 5 age groups from twenties to sixties. Obesity rates dramatically increased, the subject got older. Especially, obesity rate of the subjects in their fifties and sixties were much higher than other age groups. 1.6 & higher can be used in the R$\ddot{o}$hrer index, 98 & higher can be used in the Vervaeck index, and 25 & higher can be used in the BMI as the Optimal criteria of the obesity. Total of 24 body measurements and 3 obesity indices were used for analyzing the correlation analysis. All heights measurements showed negative correlation with the 3 obesity indices. It is determined heights measurements have high correlation with R$\ddot{o}$hrer index compare to other indices. Crotch height, interscye back, neck shoulder point to breast point, bust circumference, waist circumference, upper arm circumference and armscye circumference have high positive correlation with all obesity indices. According to the ANOVAs by each percentile group of the R$\ddot{o}$hrer and Vervaeck indices, there are big significances in all measurements and obesity indices except arm length. In general, heights decreased significantly by getting bigger, while circumferences and lengths, widths and indices increased rapidly by getting bigger. The results of the analysis by each percentile group in the BMI, it showed the significant differences in the all measurements except cervical height and arm length. There were similar tendency of differences according to the degree of the obesity in BMI percentile groups. It was confirmed that the BMI is the most reliable index for judging the obesity owing to the high correlations and significant differences with other measurements.

• The Journal of Pediatrics of Korean Medicine
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• v.23 no.2
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• pp.145-157
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• 2009

Objectives : The purpose of this study was to examine relationships between bone age and body composition to make efficient clinical reviews on children's growth. Methods : 157 of children in age of 3 years to 16 years old were participated in this study(88 of boys and 69 of girls). They visited the department of pediatrics, OO university oriental hospital and were measured their body composition and bone age. Results : 1. An age and bone age, height, weight, and body mass index were positively correlated, and also a bone age and height, weight, and body mass index were positively correlated. 2. The level of soft lean mass, body fat mass, and MPH were increased in boys in higher height percentile. Children's predicted adult height was higher in children in higher height percentile. 3. The level of body fat mass was increased as weight percentile increased. Bone age, MPH was increased as weight percentile increased, especially in case of boys. In girl's case, the level of soft lean mass, their predicted adult height, the difference between children's bone age and their actual age was increased as weight percentile increased. Conclusions : Measuring bone age and body composition is the effective way to estimate children's growth and development in future.

• The Journal of the Korean life insurance medical association
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• v.4 no.1
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• pp.44-76
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• 1987

Present study was undertaken to establish the modified Broca's indices to estimate standard body weight by using a total of 5,496 insured persons who were medically examined at the Honam Medical Room of Dong Bang Life Insurance Company Ltd. from January, 1983 to January, 1986. The results were as follows: 1. The linear regression equations of body weight to $height^3$ to estimate standard body weight were as follows: In male, for $18{\sim}19$ age group $y=7.272{\times}10^{-6}{\times}x^3+23.560$ for $20{\sim}29$ age group $y=8.187{\times}10^{-6}{\times}x^3+22.031$ for $30{\sim}39$ age group $y=8.627{\times}10^{-6}{\times}x^3+23.169$ for $40{\sim}49$ age group $y=9.561{\times}10^{-6}{\times}x^3+20.994$ for $50{\sim}59$ age group $y=8.604{\times}10^{-6}{\times}x^3+23.081$ and for all ages group $y=7.778{\times}10^{-6}{\times}x^3+25.929$ In female, for $18{\sim}19$ age group $y=8.252{\times}10^{-6}{\times}x^3+18.920$ for $20{\sim}29$ age group $y=7.715{\times}10^{-6}{\times}x^3+22.409$ for $30{\sim}39$ age group $y=8.808{\times}10^{-6}{\times}x^3+21.440$ for $40{\sim}49$ age group $y=9.691{\times}10^{-6}{\times}x^3+21.940$ for $50{\sim}59$ age group $y=12.550{\times}10^{-6}{\times}x^3+11.031$ and for all ages group $y=7.300{\times}10^{-6}{\times}x^3+26.601$ In both sexes, for all ages group $y=8.342{\times}10^{-6}{\times}x^3+22.998$ 2. The modified Broca's index is expressed by formula $\{height(cm)-100\}{\times}K(kg)$. K is obtained from the following formula standard weight to average height estimated $\frac{by\;means\;of\;linear\;regression\;equation(kg)}{\{Average\;height(cm)-100\}{\times}K(kg)}$=1 Author's modified Broca's indices are as follows: In male, for $18{\sim}19$ age group $\{height(cm)-100\}{\times}0.85(kg)$ for $20{\sim}29$ age group $\{height(cm)-100\}{\times}0.90(kg)$ for $30{\sim}39$ age group $\{height(cm)-100\}{\times}0.95(kg)$ for $40{\sim}49$ age group $\{height(cm)-100\}{\times}1.00(kg)$ for $50{\sim}59$ age group $\{height(cm)-100\}{\times}0.95(kg)$ and for all ages group $\{height(cm)-100\}{\times}0.95(kg)$ In female, for $18{\sim}19$ age group $\{height(cm)-100\}{\times}0.90(kg)$ for $20{\sim}29$ age group $\{height(cm)-100\}{\times}0.90(kg)$ for $30{\sim}39$ age group $\{height(cm)-100\}{\times}1.00(kg)$ for $40{\sim}49$ age group $\{height(cm)-100\}{\times}1.05(kg)$ for $50{\sim}59$ age group $\{height(cm)-100\}{\times}1.05(kg)$ and for all ages group $\{height(cm)-100\}{\times}1.00(kg)$ In both sexes, for all age group $\{height(cm)-100\}{\times}0.95(kg)$ 3. Several types of modified Broca's index recommended by author are as follows: I. In male, for $18{\sim}29$ age group $\{height(cm)-100\}{\times}0.90(kg)$ and for $30{\sim}59$ age group $\{height(cm)-100\}{\times}0.95(kg)$ In female, for $18{\sim}29$ age group $\{height(cm)-100\}{\times}0.90(kg)$ and for $30{\sim}39$ age group $\{height(cm)-100\}{\times}1.00(kg)$ II. In male, for all ages group $\{height(cm)-100\}{\times}0.95(kg)$ In female, for all ages group $\{height(cm)-100\}{\times}1.00(kg)$ III. In both sexes, for all ages group $\{height(cm)-100\}{\times}0.95(kg)$ Note: The first type of modified Broca's index is the most precise one in estimating standard body weight among several types established by author. 4. Error of estimated standard body weight appearing by applying modified Broca's indices is generally greater in short build persons than in tall build persons and is more dominant especially in female group.

• Annals of Clinical Neurophysiology
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• v.20 no.2
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• pp.79-84
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• 2018

Background: Pulsatility of cerebral arteries and aortic stiffness have been associated with white matter hyperintensities (WMH). We explored which is better correlated with the severity of WMH in a population with acute lacunar infarct. Methods: We included patients with acute small subcortical infarcts who underwent transcranial Doppler (TCD) and brachial ankle pulse wave velocity (baPWV). Exclusion criteria were any stenosis or occlusion on major cerebral arteries on magnetic resonance angiography; poor temporal insonation windows; ankle brachial index < 0.9; and atrial fibrillation. We assessed the performance of the pulsatility index of bilateral middle cerebral arteries (PI-MCA) and baPWV for predicting moderate-to-severe WMH, defined as an Age Related White Matter Changes score > 5, and then sought to find independent predictors using binary logistic regression analysis. Results: Eighty-three patients (56 males, mean age $61.5{\pm}11.4$) participated in the study. Uni-variate analysis showed old age and high PI-MCA were significantly correlated with moderate-to-severe WMH. However, baPWV was not associated with the severity of WMH. Multivariate analysis revealed old age (odds ratio per 1-year increase, 1.068; p = 0.044) and upper tertile of PI-MCA (odds ratio, 5.138; p = 0.049) were independently associated with moderate-to-severe WMH. Receiver-operating characteristics showed PI-MCA differentiated those with and without moderate-to-severe WMH with an area under the curve of 0.719. Conclusions: PI-MCA derived from TCD was better correlated with the severity of WMH than baPWV in a population with lacunar infarction. Pulsatility of cerebral arteries may better predict cerebral small vessel disease than the aortic stiffness index.