• Journal of Preventive Medicine and Public Health
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• 제12권1호
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• pp.24-30
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• 1979

This study was conducted to find out the most suitable weight-height index out of the $weight/height^{p}-type$ indices that could be used for the evaluation of nutritional status in an epidemiological survey and for the screening of the obesity. The subjects were chosen randomly, 2,182 males and 719 females from college students and office workers in Seoul districts. The 'best' power-type weight-height index for Korean men and women of all ages from 16 to 59 was found to be $weight/height^{1.54}$ for males and $weight/height^{1.42}$ for females. $Weight/height^2$ (Kaup index), however, was the best suited weight-height index for each age group of both sexes except that relative weight (weight/height) was considered to be desirable to apply for males of teen-aged and of over fifties and for females of over forties of age. Normal ranges of Kaup index values for males and females of each age group were presented in tables 5 and 6. These findings suggest that Koreans are generally leaner than other ethnic groups of the same sex and age.

• Journal of Preventive Medicine and Public Health
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• 제16권1호
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• pp.35-40
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• 1983

The author investigated the modified Broca's index that could be applied to Korean adults, what is called Korean Broca's Index, with 2322 apparently healthy subjects of 20-59 years old in order to obtain the index which could be used to estimate the standard body weight of Korean adults. The obtained results were as follows: 1. Linear regression equation of body weight to height was Y (weight in kg)=0.7195 X (height in cm)-57.9746 in male, and V (weight in kg)=0.4288 X (height in cm)-16.6528 in female. 2. Estimated constant that could be applied to Korean Broca's Index was 0.93 in male and 0.89 in female, and these sexual difference was statistically significant. (P<0.01)

• 한국학교보건학회지
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• 제7권2호
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• pp.125-133
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• 1994

This study was conducted to identify the relationship between body fat percent/serum lipid level and obesity index among school children. The study subjects were 277 boys and 266 girls aged between 10 and 11 years old in a selected elementary school in Taegu City. The survey was conducted for the period of two months from May 1 to June 30, 1993. A $R{\ddot{o}}hrer$index(weight/height3) was calculated for each individual as a measure of obesity. Three groups were classified as underweight($R{\ddot{o}}hrer$ index < 109), normal($109{\leq}$ $R{\ddot{o}}hrer$ index < 140), and overweight ($R{\ddot{o}}hrer$ index ${\geq}140$). As for the body fat percent, fat weight, lean body mass were measured by impedance fat, meter(Model SIF-891). Serum total cholesterol. high-density lipoprotein, and triglyceride were measured by automated clinical chemistry analyzer(Astra system). Obesity was found 18.1% in boys and 14.7% in girls. Body weight, fat percent, fat weight, and lean body mass were significantly different among three groups classified by $R{\ddot{o}}hrer$ index in both sexes. Serum total cholesterol, triglyceride, atherogenic index and T-CHO/HDL ratio were also significantly different among three groups in both sexes. Serum total cholesterol, low-density lipoprotein, trigylceride, atherogenic index of boys were positively correlated with height, weight. $R{\ddot{o}}hrer$ index, fat weight, lean body mass, and triglyceride. The negative correlation was found in high-density lipoprotein against height, weight, Rohrer index, fat percent, fat weight, lean body mass. Triglyceride and atherogenic index of the girls were positively correlated with height, weight, $R{\ddot{o}}hrer$ index, fat percent, fat weight, lean body mass. The negative correlation was found in high-density lipoprotein against height, weight, $R{\ddot{o}}hrer$ index, fat percent, fat weight, lean body mass. These findings suggest that the prevention of obesity and hyperlipidemia among school children is very important. Thus adoption of healthy life-style is strongly recommended in school health programs in order to prevent the obesity and hyperlipidemia.

• Journal of Preventive Medicine and Public Health
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• 제43권5호
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• pp.396-402
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• 2010

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.

• 보험의학회지
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• 제3권1호
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• pp.103-141
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• 1986

The present study was undertaken to establish the decision standard of builds for the insured by using the ratio of weight-for-height as build index. Materials being examined were the ratio of weight-for-height being calculated from the actually measured heights and weights of a total of 15,838 insured persons who were examined medically at Honam Medical Department of Dong Bang Life Insurance Company, Ltd. from June, 1979 to September, 1985. The ratio of weight-for-height is calculated by the following formula. The ratio of weight-for-height(%)=$\frac{weight(kg){\times}100}{\{height(cm)-100\}{\times}0.9(kg)$ The results were as follows: 1. The distribution of the ratio of weight. for-height of the 15,838 insureds follows Log normal distribution being skewed to the left(the direction of underweight). 2. The ratio of weight-for-height were Log transformed to lead to a sym metrical pattern of distribution in which statistical rules are known to be applied more exactly. Thereafter, the establishment of dicision standard of builds was undertaken by using the log of the ratio of weight-for-height as build index. Through all ages in male, the ratio of weight-for-height indicating the range of standard lives including slight overweighted and underweighted lives besides normal lives is 80-130%, and corresponds to $"M-2{\delta}"-"M+1.5{\delta}"$ and to $M{\pm}20%$ ; in female, 85-135%, and corresponds to $"M-2{\delta}"-"M+1.5{\delta}"$ and to $M{\pm}20%$. Through all ages in male, the ratio of weight-for-height indicating the initial level of super-overweighted and super-underweighted lives is 130-150% and 75-80%,and corresponds to $M+3{\delta}\;and\;M-3{\delta}$ and to M+40% and M-25% respectively;in female, 140-160% and 75-80%, and corresponds to $M+3{\delta}\;and\;M-3{\delta}$ and to M+40%-+50% and M-25% respectively. 3. Author's rating table model for builds(a table of weight per height) is proposed. On the table, the ratings for builds, i. e. standard, super-weighted and super-underweighted lives, are listed.

• 보건교육건강증진학회지
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• 제12권2호
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• pp.36-47
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• 1995

This research was obtained from analyzing how the physiques of the 3rd grade students of high school for males and females and developed for the last eleven years(from 1983 to 1993). By the physiques and nutritional index of physical growth and development, Relative Body Weight of 36.62 exceeded the standard, on the other hand females showed lower records than the standard. Relative Chest Girth Index belonged to the normal type of males and females in all, in the comparison of the records between 1983 and 1993, males increased in average 0.29 and females in average 0.55. Relative Chest Girth Index of females was greater than that of females. By the results of Relative Sitting Height Index, growth of the lower body for males and females was greater than that of males. In case of Vervaeck Index, males increased in average 2.04 but females increased in average 1, 20 relatively less than males. These phenomena provided for the evidence of the deficient nutrition in females. In the regression models of body height and body weight within a certain period, statistical regression model types which best indicated chronological average changes of body height and body weight, took 3rd Order Polynomial Regression Model rather than linear regression model. In females, statistical regression model types which best is suitable for chronological average change of body height and body weight, took 4th and 2nd Order Polynomial Regression Model respectively. The prediction value of 1995 by estimated polynomial regression model anticipated that body height of 3rd grade year students of high school of males in 1993 went on increasing from 170.87cm to 171.79cm in average 0.92cm growth and that of females from 158.99cm to 160.79cm in average 1.80cm growth. In addition, body weight of males seemed to increase from 62.58kg to 64.52kg in average 1.94kg growth and that of females seemed to increase from 54.05kg to 54.19kg in average 0.14kg growth. Linear Regression Model was suitable for the regression model of body weight for body height. Prediction on increase of an average body weight for body height was that, according to growth of body height 1cm in males, body weight increased 1.41kg averagely and that of females 0.86kg. For that reason, we came to conclusion that body weight increase for body height 1cm in males was greater than that in females on average.

• Clinical and Experimental Pediatrics
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• 제57권1호
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• pp.35-40
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• 2014

Purpose: Height-specific blood pressure (BP) is the standard parameter used to diagnose childhood hypertension. However, there has been some argument that weight may be a better variable than height in the reference BP standards. Therefore, before assessing the BP status using the reference BP standards, a basic understanding of the fundamental association of weight and height with BP is required. Methods: In the present study, we analyzed the correlation of BP with height and weight in Korean adolescents (age, 10-19 years), using data from the Korean National Health and Nutrition Examination Surveys (2009-2011). Results: Systolic BP (SBP) was more closely correlated with weight than with height in the normal weight (body mass index [BMI], ${\leq}85th$ percentile) and overweight (BMI, >85th percentile) groups and in the normal waist circumference (WC, ${\leq}90th$ percentile) and high WC (>90th percentile) groups in both sexes. Diastolic BP (DBP) had a higher correlation with height than with weight in the normal weight and normal WC groups, whereas weight was more closely associated with DBP than height in the overweight and high WC groups in both boys and girls. Conclusion: In Korean adolescents, weight had a greater effect on SBP than height in both the normal weight and overweight groups. DBP was mainly affected by height in the normal weight group, whereas weight was the major determinant of DBP in the overweight group. Therefore, it may be necessary to consider weight in the establishment of reference BP standards.

• 대한임상검사과학회지
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• 제41권3호
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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.

• Journal of Preventive Medicine and Public Health
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• 제20권1호
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• pp.97-113
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• 1987

This study was carried out to know physical growth and development, physical and nutritional indices and body fat weight and so forth by semi-longitudinal research method to measure body height, body weight, chest girth and sitting height of 260 of general high school and 306 of vocational high school 3rd grade students who are living in Seoul and born from 1966 March 1st to 1967 Feb.28th. The results are as follows: 1) Physical growth and development Growth in terms of body height showed one step straight linear development, andthat of body weight showed two step straight linear development in each section in high school. The age of cross over between two sexes of general high school students was between 10.6 to 12. 3 years in body height, between 10.8 to 13 years in body weight, between 11.2 to 14.6 years in chest girth and between 10 to 13 years in sitting height. The age of cross over between two sexes of vocational high school students was between 10.5 to 12.5 years in body height, between 10.5 to 12.5 years in body weight, between 10.5 to 12.5 years in chest girth and between 10.5 to 12.5 years in sitting height. In this periods, female group was superior to male group and after that male group was superior to female group again. The growth of vocational school students was superior to that of general school students in both sexes in terms of body height and body weight significantly. 2) Physical growth and nutritional indices In all cases of relative body weight, relative chest girth and relative sitting height, it was found to be increasing thereafter with advancing ages. In cases of $R{\"{o}}hrer$ index and Kaup index, it was found to be reaching to normal state thereafter with advancing ages. In each case of Vervaeck and Pelidisi index, it was found to be increasing and reaching to normal state thereafter with advancing ages. 3) Total body fat by vital measuring method Average values of body surface area, body volume and body density are measured indirectly by using the body height and body weight as Table 12, 13 and 14. The rate of body fat weight of general high school students was from minimum $11.96{\pm}3.53%(3.33{\pm}1.10kg$) to maximum $18.25{\pm}6.46%(9.08{\pm}2.01kg$) in male and from $25.88{\pm}3.62%(7.96{\pm}0.78kg$) to $43.00{\pm}7.22%(12.91{\pm}1.21kg$) in female. The rate of body fat weight of vocational high school students was from minimum $11.20{\pm}2.88%(3.32{\pm}1.13kg$) to maximum $17.16{\pm}5.88(10.83{\pm}3.16kg$) in male and from minimum $25.11{\pm}2.26%(7.91{\pm}0.89kg$) to maximum $42.16{\pm}7.96%(13.22{\pm}1.75kg$) in female.

• 대한한방소아과학회지
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• 제23권2호
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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.