• Korean Journal of Clinical Laboratory Science
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• v.37 no.3
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• pp.207-211
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• 2005

Body index is known as it affects pulmonary function tests (PFT), so it has been used with predictive formula and nomogram in terms of sex, age, height, etc. Body indices as body weight, body mass index (BMI), and body surface area (BSA) might also affect PFT, so that we have analyzed the correlations between body indices and forced expiratory volume in one second ($FEV_1$), and have done multiple regression analysis to see how body indices affect $FEV_1$. We confirmed that $FEV_1$ had positive correlations with height (r=0.49, p<0.01), body weight (r=0.37, p<0.01), and BSA (r=0.47, p<0.01), inverse correlation with age (r=-0.45, p<0.01), but no correlation with BMI. We found that the 41.9% of $FEV_1$ was diverged from height, age and BSA. Therefore, BSA definitely needs to be considered with predictive formula and nomogram in PFT.

• Journal of the Korean Society of Clothing and Textiles
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• v.18 no.4
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• pp.560-565
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• 1994

The purpose of this study was to extract information of body form's classification on elderly women. We measured 242 subjects from 55 to 75 years of age, using 27 direct measurement items and 25 body indices. We analyzed these indices with factor analysis, cluster analysis We obtained these following results 1) Through factor analysis, 4 factors (obesity of torso, location of upper torso items, length of upper torso, location of lower torso items & shoulder length) were extracted from body indices. 2) Through culster analysis, we categorized 4 clusters. Namely, type 1, characterized the best slender type, type 2; characterized obesity type, type 3: characterized middle sized type ; type 4: characterized by fat type less than type 2. We considered that type 3 is the typical type on elderly women. Since analysis using indices is very profitable, it may be necessary to design dummies and patterns for clothing manufacture.

• The Journal of Pediatrics of Korean Medicine
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• v.28 no.2
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• pp.1-22
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• 2014

Objectives The purpose of this study is to investigate the relationship between weak children and growth indices. Methods One hundred twenty-six of the first and the second grade elementary school students who didn't have to develop yet their secondary sexual characteristics answered the questionnaire. Their bone age and body composition were measured. Results 1. According to the Weak Children questionnaire analysis, respiratory problem was one of the biggest problems in the weak children group (35.7%), followed by digestive problems (23.0%), psycho-neurological problems (22.2%), neuromotor problems (9.5%), and urogenital problems (8.7%). 2. From the comparison between growth indices of weak children and that of normal children are as follows: 1) The group of children who had problem in their digestive system had lower growth indices than the normal average children group. The growth indices includes mean height, weight, total body water, protein mass, mineral mass, body fat, skeletal muscle mass, body fat percentage, body mass index (BMI), and basal metabolic rate (BMR). 2) The children who had urogenital weakness had lower mean height, RH (Recent Height), RH - MPH {Recent Height(%) - Mid-Parental Height(%)}, RUS (Radius, Ulna and Short bone) score, weight, protein mass, body fat, BMI, and visceral fat than the normal children group. 3. The results of the multiple comparisons of growth indices and weak children groups are as follows: 1) Digestive weak children were the lowest in total body water, protein mass, mineral mass, skeletal muscle mass, and basal metabolic rate. 2) Urogenital weak children were the lowest in height, RH, RH - MPH, RUS score, and weight. Conclusion These results showed that children's growth is strongly correlated to their own growth problems, especially to those children who have digestive and urogenital problems. Therefore, this may be an effective way for children growth treatment in Korean medicine to treat weak symptoms.

• Journal of Nutrition and Health
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• v.28 no.11
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• pp.1100-1116
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• 1995

Nutritional and health status was assessed in the 86 healthy elderly women who aged 65 through 96 and resided in nursing home in chonbuk area. Nutritional status was determined by dietary intake, anthropometric and hematological indices and hair elements. Correlation analysis among nutritional indices were performed to identify the factors which related specifically to nutritional status of the elderly. Nutrients intake below two-thirds of the RDA were Ca, riboflavin and niacin. Especially mean Ca intake was only 51.9% of RDA and most of nutrients intake were decreased as theri age increased. Height, body weight and mid upper arm circumference were decreased with age but W/H ratio did not differ among age groups. These data suggested that body fat accumulation did not change with age but lean body mass was decreased with age in the elderly. Waist circumference was positively correlated to dietary fat intake, and body weight, BMI, waist and hip circumferences and total body fat were positively correlated with serum LDC/HDL ratio. It could be concluded anthropometric indices were good indicator that reflect the lipid nutritional status in elderly women. Hematological indices, Hb, RBC, MCH, albumin, globulin, transferrin levels, belonged to normal ranges of aged women. However, the lowest Hb level showed in the oldest-old group(aged 85 and over years group). The avalilavilty of hair analysis to measure nutritional status was tested. There were not found any significant correlations between many kinds of nutritional indices and hair elements except hair Zn content which was positively correlated with BMI.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.6
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• pp.937-954
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• 2010

This study analyzes the body characteristics of Korean obese women using 2004 Size Korea data. For selecting the obesity sample, 7 obesity judgment indices were chosen from previous clothing-related studies. A total of 636 females defined as "obese" by 5 out of 7 indices were selected as subjects for this study. 54 body measurements and obesity judgment indices were used. First, the subjects had a BMI 27.11, R$\ddot{o}$hrer index 1.76, Vervaeck index 104.77, Relative weight 133.00, and WHR 0.90. In the case of the distribution by age groups, the twenties were 6.4% of the entire subjects, the thirties were 18.2%, the forties were 16.4%, the fifties were 37.4%, and the sixties were 21.5%. The result of the ANOVAs (divided into 5 age groups) showed significant differences in 41 measurement items except for bust circumference, waist length front, and all of obesity judgment indices. Second, according to the ANOVAs among stature groups divided by 5cm pitches there are significant differences in all measurements except for bust circumference. The results of the ANOVAs among bust circumference groups divided by 5cm pitches show that significant differences were observed in all measurements except four measurement items (including body rise). According to the ANOVAs among the waist circumference groups divided by 5cm pitches, there are no significant differences in all height measurements and shoulder length, waist to hip length, and crotch length. It is confirmed that stature and bust circumference have a deep relationship with measurements other than waist circumference. Third, as the factor analysis were conducted using 39 measurement items to extract the body characteristics of obese women Factor 1 is "circumference measurements & obesity judgment indices," Factor 2 is "heights & arm-related lengths," and Factor 3 is "size and ratio of waist circumference & hip circumference." Factor 4 was "lengths in upper body," Factor 5 was "back width in upper body," Factor 6 was "side neck point to bust & bust circumference," Factor 7 was "length in lower body & arm circumferences," and Factor 8 was "neck base circumference & front widths in upper body." These 8 factors explained 76.54% of the total variance.

• Biomedical Science Letters
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• v.17 no.2
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• pp.105-112
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• 2011

We evaluated whether liver markers such as aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP), gamma-glutamyltranspeptidase (GGT), and bilirubin have a relationship with other physiological factors in the normal (n=115) and fatty liver subjects (n=122) and there are differences between the two populations. Body indices were higher in the fatty liver group than in the normal group. Liver markers and blood pressure (BP) were greater in the fatty liver group than in the normal group. AST and ALT levels were positively correlated with body indices in the fatty liver group, but not in the normal group. AST, ALT and GGT levels in the fatty liver group had positive relationship with cardiovascular indices (CI). ALP and bilirubin levels were negatively associated with some of CI. Liver markers were negatively or positively correlated with inflammatory markers, thyroid hormones, or several biochemical markers levels. These findings suggest that abnormal changes in liver markers may be useful tool for diagnosis or prognosis of development of cardiovascular and/or inflammatory diseases as well as metabolic syndrome.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.6
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• pp.982-996
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• 2010

This study classified the body shapes of Korean obese women and investigated the differences of each body shape, using 2004 Size Korea data. For selecting the obesity sample, 7 obesity judgment indices were chosen through previous clothing-related studies. A total of 636 females defined as "obese" by 5 out of 7 indices were selected as subjects and 54 body measurements and obesity judgment indices were used in this study. Firstly, mean, standard deviation, minimum, and maximum values of each measurement and item were obtained from the descriptive analysis of 53 measurements. According to the descriptive analysis, all measurements and obesity judgment indices of the subjects demonstrated a serious obesity level shown by BMI 27.11, R$\ddot{o}$hrer index 1.76, Vervaeck index 104.77, Relative weight 133.00, WHR 0.90, and waist circumference 86.71cm. In addition, the measurements and indices showed considerable differences between minimum and maximum values. Significant differences were identified in all measurements and items at a significant level, p=.001. Each distribution of body types according to age, stature, bust, and waist circumference groups was provided in this study. Secondly, factor analyses were conducted using 38 measurement items to extract the body characteristics of obese women. Factor 1 was "circumference measurements & obesity judgment indices," Factor 2 was "heights & arm-related lengths," and Factor 3 was "size and ratio of waist circumference & hip circumference." Factor 4 was "lengths in upper body," Factor 5 was "back width in upper body," Factor 6 was "side neck point to bust & bust circumference," Factor 7 was "length in lower body & arm circumferences" and Factor 8 was "neck base circumference & front width in upper body." These 8 factors explained 76.54% of the total variance. Finally, 5 body types were selected in the cluster analysis. Type 1 (with big back widths & arm circumferences) was 15.5% of the entire subjects, Type 2 (the shortest and fattest, with big upper body) was 18.8%, Type 3 (with big breast) was 27.8%, Type 4 (the tallest and longest in arm lengths, with the smallest arm circumferences and lengths in torso) was 22.5%, and Type 5 (with big hips compared to waist circumferences, smaller height and upper body) was 15.5%. Fundamental differences were identified in all measurements and items at the significant level of p=.001. In addition, each distribution of body type according to age, height, bust, and waist circumference groups was provided in this study.

• Korean Journal of Clinical Laboratory Science
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• v.41 no.3
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• pp.135-139
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• 2009

Pulmonary function test has been know to be greatly affected by body indices, such as sex, age, height, body weight, body surface area (BSA) and body mass index (BMI), so hat this study was focused to see the relationship between body index and flow-volume curves. Subjects were 156 (male 90, female 66) and they were examined for pulmonary function test in terms of body index and correlation/multiple regression analysis of flow-volume curves at Presbyterian Medical Center from March to August, 2009. The followings results after analyzing the correlation between body index and flow-volume curves. Although flow-volume curve FEF25-75% showed close correlation with age, body weight, and body surface area, but not with body mass index. In addition, multiple regression analysis was performed to see how each body index affects flow-volume curve FEF25-75%, and FEF25-75% dispersion was explained as 74.5% with age only, 94.2% with age and height, and 96% with age, height, and sex. Therefore, sex, age and height that are mainly used for predictive formular of pulmonary function test and nomogram were important factors for pulmonary function test itself, and further study must be done for other body index.

• Nutritional Sciences
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• v.3 no.2
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• pp.83-88
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• 2000

The association between nutrient intake and nutritional status was investigated with anthropometric measurements, body composition and blood biochemical indices in 56 healthy young men fed balanced diet for two years. Compared with Korean recommended dietary allowances (Korean RDA), all nutrient intakes were adequate. Height and body weight were significantly (p < .01 - p < .05) positively correlated to the intakes of energy, protein, sodium, potassium vitamin A and vitamin $B_1$. The lean weight was significantly (p < .001 - p < .05) correlated to the intake of energy, protein, sodium, potassium, vitamin A, vitamin B$_1$. niacin and vitamin C. The skinfold thickness of triceps and suprailiac was significantly (p < .01 - p < .05) correlated to the intake of energy, sodium, potassium, but that of thigh was not correlated. The significant correlations neither between nutrient intake and blood biochemical indices nor between nutrient intake and blood pressure were shown. These results suggest that nutritional status as anthropometric indices and body composition is associated with nutrient intake in young healthy adults on balanced diet, however, the nutritional status as blood biochemical indices of active people is neither endangered nor improved in comparison with less active ones.

• Korean Journal of Clinical Laboratory Science
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• v.43 no.4
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• pp.188-193
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• 2011

Obstructive sleep apnea (OSA) is the most common type of sleep apnea and is caused by obstruction of the upper airway. Since it is closely related to sleep parameter and body indices, the study was focused on the relationship with them. The results of polysomnography (PSG) in obstructive sleep apnea was done at ENT department of Ewha women university Mokdong hospital from March to September 2010 with 52 subjects (male 35, female 17). The leads were placed to measure electroencephalogram (EEG), electrooculogram (EOG), mandibular and anterior tibialis electromyogram (EMG), airflow in nasal and oral cavity, chest and abdominal breathing pattern, snoring sound and arterial oxygen saturation ($SpO_2$) level. From sleep parameter and body indices of adult obstructive sleep apnea compared to normal adult revealed that age (p<0.01) and snoring sound (p<0.05) were increased, stage 1 sleep (p<0.01) was increased, the deeper stages (3&4) of sleep (p<0.05) were reduced. Respiratory disturbance index (RDI) (p<0.01), mean $SpO_2$ (p<0.05) and lowest $SpO_2$ (p<0.01) were also decreased. The correlation analysis from sleep parameter and body indices of OSA showed the positive correlation with age (r=0.463, p<0.001), snoring sound (r=0.278, p<0.05), stage 1 sleep (r=0.391, p<0.01) and RDI (r=0.409, p<0.01), but showed the negative correlation with the deeper stages (3&4) of sleep (r=-0.307, p<0.05), mean $SpO_2$=(r=-0.274, p<0.05) and lowest $SpO_2$ (r=-0.392, p<0.01). This study proves that obstructive sleep apnea and indices have closed related.