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.
Objectives: Self-reported anthropometric values, such as height and weight, are used to calculate body mass index (BMI) and assess the prevalence of obesity among adolescents. The aim of this study was to evaluate the validity of selfreported height, weight, and BMI of the Korea Youth Risk Behavior Web-based Survey questionnaire. Methods: A convenience sample of 137 middle school students and 242 high school students completed a selfadministered questionnaire in 2008. Body height and weight were directly measured after self-reported values were obtained from the questionnaire survey. Sensitivity, specificity, and kappa statistics were computed in order to evaluate the validity of the prevalence of obesity (BMI $\geq$ 95th percentile or $\geq$$25;kg/$m^2$) based on self-reported data. Results: Self-reported weight and BMI tended to be underestimated. Self-reported height tended to be overestimated among middle school females and high school males. Obese adolescents tended to underestimate their weight and BMI and overestimate their height more than non-obese adolescents. The prevalence estimate of obesity based on selfreported data (10.6%) was lower than that based on directly measured data (15.3%). The estimated sensitivity of obesity based on self-reported data was 69.0% and the specificity was 100.0%. The value of kappa was 0.79 (95% confidence interval, 0.70 - 0.88). Conclusions: This study demonstrated that self-reported height and weight may lead to the underestimation of BMI and consequently the prevalence of obesity. These biases should be taken into account when self-reported data are used for monitoring the prevalence and trends of obesity among adolescents nationwide.
Objectives : Man adapts himself to nature, so accordingly as he grows up, changes of body composition appear. This study measured the changes of body compositions on the ground of Sasang constitution and seasons Methods : 253 middle school students who live in Busan were studied from the 20th of March, 1999 to the 20th of March, 2001. We measured height and body compositions with Inbody 3.0, six times during that period. Results : According as they grew up, total body water, muscle area, body weight, BMI (Body Mass Index), BMR (Basal Metabolic Rate), ACM (Arm Muscle Circumference), and BCM (Body Cell Mass) increased, but fat body weight ratio decreased. From March to June, total body water, muscle area, height, ACM, and BCM increased. From September to December fat body weight, fat body weight ratio, waist hip ratio increased as compared with other seasons. Height of Soyangin and BMI of both Soyangin and Taeumin increased more than those of other groups, with statistical significance Conclusions : The growth of man is adapting oneself to changes of nature, and it corresponds to the theory of (correspondence between man and universe).
The age of maximum growth increments-the adolescent spurt-is not only of developmental interest but is used as a marker for timing other growth events. And the mandibular growth rate follows the general growth curve, it is essential for an orthodontist to take the current and exact information about physical growth of patients. The author measured and studied the body height and weight of 11,694 children living in Seoul, and calculated out the mean, standard deviation, coefficient value, annual increments, percentage increments of each value, and made diagram to compare it with others. 1. The growth curve shows linear increment tendency until 17 years of age in male, 15 years in female. 2. The annual increment curves of body height and weight reveals the most peak value in 14-16 years in male and 11-14 years in female. 3. During 11-14 years of age, female growth exceed the male growth in the body height growth. And in weight growth, female growth exceed the male growth during 6-7 years and 11-12 years to show twice crossing. 4. It seemed that until 11-12 years in male and until 9-10 years in female the height growth show the priority to weight growth. And from 17 years in male and 15 years in female the body growth reveals the balanced growth pattern. 5. The time of changes of standard deviation curves of body height and weight coincided with that of annual increments. 6. The prominent high value of body height and weight in the comparison with other data may be due to the secioeconomical and nutritional, environmental influence. 7. The growth accerlation phenomena was detectable.
The purpose of the study was to investigate the body cathexis, ideal body shape, clothing satisfaction and their interrelationships. The subjects were 445 middle- and high- school girls. The findings were as follows : the subjects were more satisfied with their face appearance than body parts. They were very unsatisfied with thigh. leg and weight. Generally they were more satisfied with upper body than lower body, and more satisfied with length measurements than girth measurements. They accepted 169.19cm as ideal height and 49.18kg as ideal weight. The middle-school girls wanted to be taller than high-school girls by 3cm. But the ideal weight of both were almost same. The Rohrer indices indicated that the subjects were normal to slender type. But the Rohrer indices calculated using ideal height and ideal weight showed that the subjects thought extremely slender type as ideal body shape. The attitude of body was evaluated by two factors. the awareness of body shape and the physical attractiveness. The awareness of body shape was deeply influenced by girth measurements and lower body parts. And physical attractiveness was severely affected by face appearance. Weight was more important than height in regard to body cathexis. The ideal body shape was independent of individual situation but was formed by social value. The satisfaction of clothing in terms of design related aspects was influenced by body cathexis. Also the more satisfied with their body. the more they felt comfortable for their clothing. The body cathexis was interrelated with the satisfaction of clothing in some aspects.
Park, A Rang;Choi, Jong Sook;Lee, Young Hee;Jung, Woo Young
The Korean Journal of Nuclear Medicine Technology
/
v.23
no.1
/
pp.40-44
/
2019
Purpose Glomerular filtration rate (GFR) is an important index for evaluation of renal function, renal disease diagnosis and progress monitoring. Therefore, accurate measurement of GFR is clinically important. Among the factors that affect the GFR result, there have been many discussions on the methods such as the correction of the kidney depth, net syringe count, and the method of setting the ROI. However there has been no consideration of counting in the most basic factors like height and weight measurement. In this study, we investigate how height and weight changes affects the result of GFR and review the importance of standardized body measurements. Materials and Methods Fifty patients who underwent GFR test were randomly sampled and examined for changes in height and body weight within one month. From the normal patients without renal disease to the patients with severely decreased GFR, we applied the GFR formula of Gate with varying height and weight. Results: The result showed variation of the height at maximum three centimeters and six kilograms of weight. The first calculation of GFR was done with fixed height value and control variable as weight. Weight was incremented by one kilogram each time up to six kilograms. The GFR showed increased result with increasing weight. The result of GFR showed ten percent increase with six kilograms of weight increase. On the other hand, when height value was incremented by one centimeter up to three centimeters showed decreased GFR result with fixed weight value. Up to three centimeters of height increase showed two percent of decreased GFR with fixed weight. Conclusion This study showed varying GFR result when height and weight changes. Therefore it is clinically crucial not only to maintain and manage body measuring instrument but also to have a standardized measurement methods to derive accurate measured values and to achieve reproducibility.
Journal of the Korean Society of Clothing and Textiles
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v.28
no.7
/
pp.983-994
/
2004
The aim of this study is to provide fundamental data on the development of ready-to-wear clothes appropriate for the body types of elderly women. The study was conducted targeting 318 elderly women over 60 years of age whose fields of action were colleges for the elderly, sports centers, or business sites in Seoul and the neighboring districts. A total of 44 features in the upper body were used for the anthropometric measurement and analysis using anthropometry and photometry. The results of the study are as follows: 1. Somatotypes were classified into three types according to a cluster analysis using height and weight indices. Type 1 is the group with long and undersized upper body and straight body type since the face of the upper body is long relative to height and width, girth and depth are the smallest relative to weight, the breasts are somewhat fat, with a small extent of drooping and a straight back. Type 2 is the group that is considered fat relative to the body, has broad shoulders, drooping breasts with a wide space between them, and a back-bent upper body. Type 3 is the group that has a bent shape, the shortest upper body relative to height, and showing average obesity factors. 2. Indices of height and weight were used for factor analysis, cluster analysis, and discriminant analysis in order to classify upper body somatotype according to shape while excluding size factors of elderly women's upper body somatotype. The same method was used to compare and verify the result according to the absolute measurement and height index. Classification based on height and weight indices demonstrate that such somatotype classification minimizes the personal equation of body shape and it induces better classification based on shape as the results showed the highest cumulative sum of square(CUSUM) at 78.38% while six factors showed the smallest result and the hit rate for the classified three groups showed the highest result at 95.30%.
The purpose of this study was to compare the growth development between age-matched 51 postmenarcheal girls (mean age 153.1$\pm$5.8 month) who were rapidly maturing and 51 premenarcheal girls (mean age 153.1$\pm$5.7 month) who were slowly maturing. Anthropometirc measurements were taken for height, body weight, body fat(%), waist and hip circumferences of subjects. These measurements of menarcheal girls were significantly higher than those of nonmenarcheal girls. There was no significant difference in BMI distribution between two groups. However, 43.2% and 20.0% respectively in the menarcheal and nonmenarcheal girls had body fat levels of 30% or above. There were significant differences in the anthropometric measurements during past 4 years from 3rd grade elementary school to present. The greatest difference between the two groups were the amount and the rate of increased height and body weight from age 9 to 10. Among menarcheal girls, height, body weight, BMI, and Röhrer index were positively related to the onset of menarche. Distinctively, there was a stronger relationship between age at menarche and anthropometric measurements when the girls were 5th grade elementary school children. These findings support that during childhood and puberty, obese girls grow faster and have earlier menarche. Furthermore, the importance of prevention of obesity was recognized in order to accelerate growth of height among the girls by delaying the age of menarche.
Prostatic length and height on sagittal images and prostatic width and height on transverse images were measured ultrasonographically to establish upper limit of the prostate in 45 dogs which were clinically healthy and sexuallly intact. Linear 5regression and correlatin analysis were performed between prostatic parameters(length and height on sagittal images & width and height on transverse images) and parameters related to body size(body weight, left kidney length) and age of the dogs. Prostatic parameters were significantly correlated with body size and age of the dogs. Maximum predicted values with body weight and age for prostatic parameters were determined based o the upper limit of the 95% confidence interval of the mean predicted values. Such values should be useful for the small animal clinicians in determining if the prostate gland is too large for a given body weight and age, and may contribute to clinicl signs.
The purpose of this study is to classify body shapes of aged women by using 3D body scan data. For the body shape analysis and classification, 3D body scan data of 270 aged women were used, and 16 main measurements consisting of a human body were used to conduct factor analysis, cluster analysis and discriminant analysis. The analysis were performed on all 'the method using the absolute value', 'the method using index of height and weight', and 'the method using index of height', and according to the classification results, the method which categorizes body shapes best in terms of their shapes was adopted. As the factor analysis result using the numerical value of height to categorize the body shapes of the aged women, factor 1 was the thickness and width for the height, factor 2 was the height of the upper part of the body for the height, factor 3 was the height of hips for the height, and factor 4 was the height of belly for the height. When the body shapes were categorized with the deducted factors as variables, they were divided into two types. Type 1 was a short and fat body shape($\blacksquare$ type) and 55.6% of the subjects were of this type. Type 2 was for the body shape whose vertical height, including weight, was long but all kinds of width and thickness were small, that is, tall and thin body shape($\blacksquare$ type), and 44.4% of the aged women were in this case.
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