• 대한한방소아과학회지
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• 제37권4호
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• pp.1-14
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• 2023

Objectives This study aimed to evaluate the correlation between pediatric weakness scale scores and growth indices. Furthermore, we intended to calculate the cut-off values for diagnosing Kidney Weak Children through growth indices. Methods A total of 193 patients, aged 6 - 12 years, underwent both the pediatric weakness scale and bone age assessment, and the correlations between the pediatric weakness scale and growth indices were analyzed. Moreover, the cut-off values for diagnosing Kidney Weak Children were calculated. Differences in bone age and predicted height between the normal group and Kidney Weak Children, classified according to the calculated cut-off values, were analyzed. Results The weakness of the Shin or kidney system was significantly correlated with the height percentile, weight percentile, differences in current height percentile and mid parental height percentile, differences in predicted height and mid parental height, and differences in bone age and chronological age. When the criteria for diagnosing Kidney Weak Children is set at "height percentile of ≤25% and weight percentile of ≤25%", the sensitivity and specificity of the cut-off value were maximized. The cut-off values for weakness of the Shin or kidney system were 9 in children aged 6 - 9 years and 10 in children aged 10 - 12 years. Conclusions To diagnose Kidney Weak Children, the cut-off values of weakness of the Shin or kidney system were 9 in children aged 6 - 9 years and 10 in children aged 10 - 12 years.

• 보건교육건강증진학회지
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• 제15권1호
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• pp.97-114
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• 1998

This study's purpose is to clarify the growth pattern of Down Syndrome cases -particulary centering on the adolescent growth pattern - and to draw up a standard growth chart on body height and weight which is one estimation of physical growth for the effective caring of their health. I sampled 269 Down syndrome cases (Male 151, Female 118) whose ages ranged from 6 years of age to adulthood and 348 normal control cases (Male 175, Female 173) who were in same age group with Down Syndrome. We also picked 124 Down syndromes cases(Male 70, Female 54) and gathered 8 year longitudinal data on their body height and weight. The results were that, I found Down syndrome cases' height to be short and their weight to be overweight. As far as age at peak height velocity was concerned, boys were at 11-12 years of age and girls were at 10-11 years of age, showing that girls were about one year faster. Peak height velocity was 6.8cm/yr for boys and 5.4cm/yr for girls. The age at peak weight velocity were 12-13 years for age for boys and 10-11 years of age for girls. Peak weight velocity was 5.7kg/yr for boys and 4.3kg/yr for girls. The menarche age of girls with Down syndrome was anticipated to come about 2 years after peak height velocity and peak weight velocity. Finally, we drew up a standard growth chart and compared it with that of the NCHS, which caused us to come to the conclusion that the Standard Growth Chart for Down syndrome cases in Korea that came out of this study was appropriate for the growth-assesment of Down syndrome.

• 한국유기농업학회지
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• 제24권1호
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• pp.115-122
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• 2016

The main purpose of the current study was to compare quality of eggs 1) produced from hens housed in battery cages vs. free range, 2) from young vs. old hens, and 3) tagged with the lowest vs. the highest price in a local franchised mart. The ages of hens, at which their eggs were used for the analysis of quality, were 70 weeks old in the experiment 1, 22 and 47 weeks old in the experiment 2, and were unknown in the experiment 3. Eggs were analyzed for weight, albumen height, Haugh unit, shell color, shell strength, shell thickness, shell weight, yolk color, yolk weight, and egg white weight. In the experiment 1, significant differences were detected between two housing systems in shell color, shell weight, yolk color, and yolk weight (P<0.05), but not in egg weight, albumen height, Haugh unit, shell strength, shell thickness, and egg white weight (P>0.05). Although egg weight was slightly but not significantly higher in battery cages by 2.2 g than in free range, yolk weight was significantly higher in battery cage (P<0.05). On the contrary, shell color was greatly increased in free range system by 68.5% compared with battery cage. In the experiment 2, there were significant differences between young and old hens in egg weight, albumen height, Haugh unit, shell strength, shell weight, yolk color and yolk weight (P<0.05). Egg weight, shell weight, yolk color and yolk weight were increased in old hens than young hens while albumen height, Haugh unit, and shell strength were decreased. In the experiment 3, egg weight, albumen height, Haugh unit, shell weight, and egg white weight were significantly higher in the highest priced eggs than the lowest ones (P<0.05), whereas shell strength and yolk color were lower (P<0.05) but shell color, shell thickness and yolk weight were not different (P>0.05). So, egg freshness was clearly higher in the highest priced ones than in the lowest (P<0.05). Due to the limited information on raising and husbandry of laying hens whose eggs were tested for egg quality in the current study, the present results should be cautiously interpreted while contributing to the future study as a basis in this field.

• 보험의학회지
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• 제4권1호
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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.

• 대한영양사협회학술지
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• 제9권2호
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• pp.106-113
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• 2003

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.

• 한국수산과학회지
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• 제42권6호
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• pp.600-603
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• 2009

Genetic and phenotypic parameter estimates for measurement traits were obtained from pacific oyster Crassostrea gigas at nine months old. For the growth-related traits among nine months old pacific oyster, heritabilities of shell length, shell height, shell width, total weight, body weight and shell weight were estimated as 0.4855, 0.5248, 0.0884, 0.7236, 0.7726 and 0.6957, respectively. Genetic correlations among the growth-related traits of pacific oyster at nines month old, shell length, shell height, shell width, total weight, body weight, shell weight were showing highly positive correlations. Breeding value on growth-related traits of pacific oyster at nine months old were estimated as shell length -7.044-11.870, shell height -11.380-18.370, shell width -1.234-2.831, total weight -8.339-17.140, body weight -1.813-3.507 and shell weight -4.422-8.837. The results show that there is quite substantial additive genetic variance for measurement traits in pacific oyster that can be exploited through selective breeding.

• 한국전기전자재료학회논문지
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• 제34권5호
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• pp.357-363
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• 2021

Recently, as interest in appearance has increased, various studies on treatment method for short stature are being conducted. In this study, the effect of growth plate stimulation on the height growth of children and adolescents was studied. As a result of pre- and post-analysis of the experimental group, it was confirmed that the difference in average height according to growth plate stimulation was relatively large. In addition, in the results of analyzing the effects of demographic factors on the height growth of the experimental group and the control group, weight showed the greatest influence on height growth among the demographic factors affecting the height growth of the experimental group. The effect on the height growth of the control group was found to have an effect in the order of age, weight, and father's height. The difference in height changed post-mortem between the experimental group and the control group was 1.10 cm for 3 months, and the difference was the result of growth plate stimulation. It was confirmed that growth plate stimulation had a significant effect on the height change of children and adolescents, except for weight, which is a common factor of height change in the experimental and control groups. Therefore, it is expected that it can be used as a treatment method for short stature.

• 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)

• Journal of Nutrition and Health
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• 제31권4호
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• pp.767-776
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• 1998

The purpose of this study was to determine the percentage of body fat by three different methods and to investigate the relationship between food preference and intake and percentage of body fat in female high school dancers. Height, weight , girth circumference, and near infrared body fat(%) on were measured 112 subjects BMI body fat (%) , girth circumference body fat (%) , and anthropometric indices were also calculated . Dietary data was collected by questionnaire. All data was analyzed by frequency, percentage, mean and standard deviation, correlation, and crosstabulation; analysis, The results are summarized as follows ; 1) Average age of the subjects was 16.5 height was 161.0cm, weight was 50.7kg , near infra-red body fat was 27.0% BMI body fat was 21.9% , and girth circumference body fat 20.9%. 2) Near infra-red body fat (%), BMI body fat(%) , BMI , Rohrer index , and % ideal weight showed the most significant correlations with upper arm girth. The differences in the height among subject physiques classified by body fat(%) were non-significant, but the differences in height by BMI, Rohrer index, and % ideal weight were significant. 3) The preference values of fatty foods such as meat, milk, and fish were shown to increase with the percentage of body fat, The subjects who had higher percentage of body fat preferred foods cooked in oil. In contrast, the students with higher percentage of body fat were thought to have lower food intake and between meals frequencies. It was shown in this study that higher preference values for animal fatty foods and foods containing more cooking oil induced significant increases in body fat and weight.

• Child Health Nursing Research
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• 제28권3호
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• pp.176-186
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• 2022

Purpose: This study investigated the nutritional status of ethnic (belonging to minority groups) preschool children in Northern Thailand. Methods: In this cross-sectional descriptive study, the sample group included 147 parents and 147 preschool children (2-6 years old). Participants volunteered to complete a questionnaire on the personal information of children and parents, as well as family- and school-related factors. Data were analyzed using descriptive statistics, a nutritional status calculator, and logistic regression analysis. Results: A birth weight of less than 2,500 g was related to weight-for-age and weight-for-height. Not having been breastfed and having been breastfed for less than 6 months were related to weight-for-height. An elementary school education level among parents was related to children's height-for-age. Familial unhealthy food consumption for 1-2 days per week was related to weight-for-age and height-for-age. Conclusion: This study reflects the importance of nutritional care for children at the beginning of pregnancy and continuing to the preschool age, as well as the importance of breastfeeding. Families were found to be a key factor in supporting good nutrition among children.