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: The purpose of this study was to estimate differences in physical growth according to sleep during preschool period. Methods: Difference of height and BMI percentile according to quality and quantity of sleep obtained through survey from 377 preschool children was measured using statistical method. Results: There was no significant difference in height and BMI percentile according to bedtime, rising hour, sleeping hours and sleeping environment. Children who had woken up more from scare during sleep showed smaller height percentile. Conclusions: Children who woke up more from scare during sleep could have smaller height.
Journal of The Korean Association For Science Education
/
v.4
no.1
/
pp.15-25
/
1984
The purpose of this study is to develop a practical and ideal model of science laboratory enrolled 48-60 students by studying optimal facilities such as laboratory tables and chairs proper to elementary school settings. The science laboratory model was figured out in terms of the following six procedures; (1) Current status as well as problems of science laboratory and its facilities was identified by means of the questionnaires conducted to 201 elementary schools, using stratified cluster sampling tehnique, under the consideration of the school size and the regional characteristics across the country. (2) Collected were the anthropometric data with respect to sitting height, popliteal height, buttock popliteal length, elbow rest height, and back width from the 747 students, 4th-6th grade, in Seoul area. (3) It was measured the work apace necessary for individual student to perform his experiment. (4) Using the data of the process (2), we determined the optimal sizes of laboratory tables and chairs fitted for Korean elementary school students. (5) The optimal area of science laboratory for 48-60 students is determined in terms of the data obtained in (3) for individual work space in addition to the appropriate table size figured out by (4). (6) A practical and ideal model for a science laboratory in elementary school was designed according to the above procedures. For the optimal model of science laboratory, the results of this study can be summarized as follows: The sizes of chair and table are categorized into three groups such as small, medium, and large depending on students' physical outfit. The small size base on the 12.5th percentile point of students' sitting height is used for students of the 0-25th percentile ranks. The medium size base on the 50th percentile point of students' sitting height is used for students of the 26-75th percentile ranks. The large size base on the 87.5th percentile point of students' sitting height is used for students of the 76-100th percentile ranks. (1) Sizes of chairs: The small size is 28cm in width and 33cm in height. The medium size is 31cm in width and 36cm in height. The large size is 35cm in width and 38cm in height. (2) Sizes of laboratory tables: The small size is 120cm in length, 86cm in width, and 60cm in height. The large size is 120cm in length, 86cm in width, and 60cm in height. The large size is 120cm in length, 86cm in width, and 65cm in height. (3) Size of science laboratory: The optimal science laboratory for 48-60 elementary school students, which can install the 12 laboratory tables, is 12m in length and 10m in width.
Objectives : The purpose of this study is to have better data and to make efficient clinical reviews on pre-school children's growth based on two measurements; Body composition for measuring body volume and bone age for potential growth. Methods : The study was conducted with 221 children(118 of boys and 103 of girls) from three kindergartens. Body compositions(soft lean mass, body fat mass, percent body fat) were measured by bioelectrical impedance analysis, bone age was measured by bone density through ultrasonic image of calcaneus. Results and Conclusions : 1. The higher level on weight or BMI, the more averages of soft lean mass, body fat mass, percent body fat. 2. The average bone ages and bone age-chronological age were lower in under 50 percentile's group, but it was higher in upper 50 percentile's group. Also, children with high BMI had older in bone ages and bone age-chronological age. 3. The higher in height percentile based on the bone age; there were more soft lean mass. 4. The averages of bone age and bone age-chronological age were significantly decreased, the more percentiles of height according to bone age were big, they were higher than total average in under 50 percentile's group of height, lower than total average in over 50 percentile's group of height in both boys and girls. 5. The average of MPH were significantly decreased in top percentiles of children's height distribution. Also, in the upper percentiles of height distribution based on bone age were big in only boys. 6. The body compositions(soft lean mass, body fat mass, percent body fat) were related to body volume growth, which can he measured by weight or BMI. The bone age, bone age-chronological age, and MPH were related in terms of hight. The body volume growth was a little hit related with potential growth.
Objectives: The purpose of this study is to estimate genetic and environmental factors which can effect growth, and predict final height using this factors. Methods: Correlation analysis and regression analysis were conducted between measurements of height and Genetic & environmental factors through survey from 1352 child & adolescent patients. Results: Factors which have correlation with height percentile are MPH(Mid-Parental Height), NBW(Neonatal body weight), anorexia, dyspepsia, atopic dermatitis, frequency of breakfast and quality of sleeping time. MPH has moderate relation, NBW and anorexia have fair relation, and other factors have linear but poor relation. Regression equation from factors which have correlation and height percentile has 26.9% of predictive power. Regression equation considering only genetic factor has 20.4%. MPH has the most effect on height percentile. Anorexia has more effect than NBW. Other factors also have small and similar effect. Conclusions: Height of parents has the most effect on growth, anorexia, dyspepsia, atopic dermatitis, frequency of breakfast and quality of sleeping time also has effect.
Purpose: Small for gestational age (SGA) is confusingly defined as birth weight (BW) either below 3rd percentile or 10th percentile for infants. This study aimed to compare postnatal catch-up growth between SGA groups according to different definitions. Methods: Data of 129 infants born with BW below the 10th percentile and admitted to Korea University Anam Hospital and Ansan Hospital were retrospectively reviewed. Height and weight were measured at 6, 12, and 24 months. Results were compared between group A (BW: <3rd percentile) and group B (BW: 3rd-10th percentile). Results: Group A included 66 infants and group B included 63. At age 6 months (n=122), 62.9% of group A and 71.7% (P=0.303) of group B showed catch-up growth in weight. At 6 months (n=69), 55.9% of group A and 80.0% of group B (P<0.05) showed catch-up growth in height. At 12 months (n=106), 58.5% of group A, and 75.5% (P=0.062) of group B showed catch-up growth in weight. At 12 months (n=75), 52.8% of group A and 64.1% of group B (P=0.320) showed catch-up growth in height. Up to age 24 months, 66.7%/80.0% in group A and 63.6%/80.0% in group B showed catch-up growth in weight/height. Conclusion: Despite different definitions, there were no significant differences between the two SGA groups in postnatal catch-up growth up to age 24 months, except for height at 6 months. Compared to infants with appropriate catch-up growth, low gestational age and BW were risk factors for failed catch-up growth at 6 months.
Objectives : The aim of this study was to evaluate the effect to the height-growth after the administration of herbal medicine to the prepuberty children Methods : This clinical study has been carried out with 18 children, who visited to the Department of Pediatrics, Dong-eui oriental medical center from January 2005 to August 2008. They had been treated for height-growth with herbal medicine more than 6 months. This study has been carried out by chart-review to see the effectiveness. Height percentile, BMI and GV(Growth Velocity) after medication was compared with the ones before medication. Results : 1. This clinical study has been carried out with 18 children, 12 boys(66.7%) and six girls(23.3%). Their average age was 10.30 years old. 2. Generally total children's average height percentile was increased compared to after medication. Especially eight of them has significantly increasd height percentile(44.4%). 3. Total children's average GV/6months was also increased after medication. Especially ten of them has significantly increasd GV/6months (55.6%). 4. Total children's average BMI also increased (17.01 to 17.85) after medication. Conclusions : Herbal medicine affects to the growth of pre-puberty children.
Objective : We used herbal medicine to treat various disease and also to keep good general condition of children. We aimed to evaluate the effect of herbal medicine on the growth of children treated with herbal medicine. Method: We studied 187 children who visited the department of Pediatrics, KyungHee Oriental Medical Hospital from March 2004 to August 2004. They meet condition as follows; they were treated for more than 6 months and they visited our clinic more than 3 times. Whenever patients visited our hospital, we measured their height, body weight and obesity degree using DS-102(dszenix, Seoul). We measured height percentile of first time visit, and that of last time visit. And we compared them using the Growth Statistics Curve made by the Korean Association of Pediatrics, 1998. Results : The mean growth of total children showed 4.04 percentile upwardly; the growth- up percentile of boys was 4.52 and that of girls was 3.26. Analysis according to disease resulted as follows; children with respiratory disease showed 10.29 percentile growth-up, digestive disease 4.21percentile, urinary disease 4 percentile, allergic disease 2.65 percentile, weak children 2.52 percentile and other disease 3.19 percentile. Conclusion : Herbal medical treatment helped growth not only in children who took medicine for growth retardation problem but children with various disease. Moreover herbal medical treatment applied to keep good general condition of children also gave positive effect on the growth of children.
The purpose of this study is to survey the prevalence of obesity assessed on the basis of height and weight among students in primary and secondary schools in the metropolitan area of Seoul, Korea during the period of 1979 to 1996. The major findings are as follows ; 1) The fiftieth percentile values of BMI have increased more in mid-ranged age group than upper(16-17 years old) and lower(6-7 years old) ranged age groups. 2) The prevalence of obesity by standard weight of height was higher among male students than female students and students in the primary schools showed higher weight increase than adolescent age(12-17 years old) group. As a whole, the prevalence of obesity over last 18 years has increased 4.6 times in males and 3.2 times in females. 3) Judged on the basis of the BMI 90th, 95th percentile values of 1979 , the prevalence of obesity among male students showed higher increases than among female students. Higher increase was also observed among primary school students than among middle and high school students. Increase of weight was higher for the $\geq$95th percentile group than the 90-95th percentile group. 4) Judged on the basis of the BMI, 90th, 95 th percentile values of NHANES-I, the $\geq$95th percentile group showed higher increase in the prevalence of obesity than the 90-95th percentile group. According to the 1996 data, severe obesity group ($\geq$95th percentile) was about two times of NHANES-I in male primary school students, while the number for female middle and high school students was about 1/5 of NHANES-I.
Objectives The object of this study is to investigate the characteristics of Ryodoraku score in the Children who visited Department of Pediatrics, Hospital of Oriental Medicinewith Growth treatment as a chief complaint. Methods Subjects were 58 children who visited Department of Pediatrics, Hospital of Oriental Medicine the first time with Growth treatment as a chief complaint. We measured the height and Ryodoraku score, and we also checked bone age from some of them. This study was designed to investigate the characteristics of Ryodoraku score in children with Growth treatment as a chief complaint. Results and Conclusions The results were follows 1. The average value of Ryodoraku score in 58 children was $41.8800{\pm}13.82641$. 2. The value of H1(肺), H5(三焦), H6(大腸), H2(心包), H3(心), F4(膀胱) and F5(膽) had significant statistical differences compared to its total average. 3. The value of F3(腎) had no relationship with Mid-Parental Height(MPH) percentile. 4. The value of F1(脾), F3(腎) and total average was classified by the height percentile values when children visitedand the difference between the predicted height percentile, and it resulted as there were no relationship between those two
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