• Clinical and Experimental Pediatrics
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• v.48 no.8
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• pp.857-864
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• 2005

Purpose : The objectives of this study was to evaluate the correlations between the indices of insulin sensitivity using fasting glucose and insulin level, and the body fat mass measured by bioelectrical impedance analysis(BIA) and dual energy X-ray absorptiometry(DEXA), and to determine the clinical usefulness of insulin sensitivity indices when obese children were followed up. Methods : In this study, 28 simple obese children and adolescents were included. Anthropometric data including body weight, height, obesity degree(OD), body mass index(BMI), and waist-to-hip ratio were collected and then body fat mass was measured by using BIA and DEXA. For metabolic data, 12 hour fasting serum glucose, insulin and lipid profiles were measured and indices for insulin sensitivity(G/I ratio, $log_{insulin}$, HOMA-IR, $log_{HOMA-IR}$, QUICKI) were calculated. Results : BMI had a higher correlation with insulin sensitivity indices than OD(G/I ratio, -0.463 vs -0.209; $log_{insulin}$, 0.417 vs 0.196; HOMA-IR, 0.301 vs 0.238; $log_{HOMA-IR}$, 0.403 vs 0.198; QUICKI, -0.451 vs -0.224). But OD had a higher correlation with body fat mass measured by BIA and DEXA than BMI(BIA, 0.612 vs 0.316; DEXA, 0.667 vs 0.512). The G/I ratio was correlated with body fat mass in BIA(r=-0.420, P<0.05) and DEXA(r=-0.512, P<0.01), percentage of body fat(percentage of fat) in BIA(r=-0.366, P<0.05) and DEXA(r=-0.449, P<0.01). HOMA-IR was only correlated with body fat mass in DEXA(r=0.341, P<0.05). Conclusion : This study revealed that G/I ratios had a statistically significant correlation with anthropometric obesity indices(OD and BMI) and also had a correlation with both body fat mass and percentage of fat. These results suggest that G/I ratios could be used as useful index when obese children and adolescence are followed up.

• Journal of The Korean Association For Science Education
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• v.4 no.1
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• pp.15-25
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• 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.

• Journal of the Korean housing association
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• v.20 no.1
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• pp.59-70
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• 2009

The purpose of the study is to suggest the amount of space for each behavior according to the classification of behavior in the housing to plan the optimal floor space of the elderly housing. The method for calculating space for behavior begins with classifying behaviors, identifying them and then taking pictures of the model of elderly people who reproduce each behavior. Based on the pictures, body parts which are necessary for each behavior are assembled and the formula for behavioral space is created. The space for behavior is produced considering the body dimensions of Korean elderly in their sixty's as well as the furniture size and the psychological distance between people. 3D modeling is used to verify the result. Human behaviors can be classified into individual-related, housework-related, family-related, reception-related and other behaviors. These five behaviors are subdivided into more specific behaviors. The area for each specific behavior is calculated with the anthropometric data of the elderly, preferred furniture dimension and psychological area. As a result the required area for specific behaviors is as follows: the behavior of sleeping in a bed needs $4.3m^2$; the behavior of changing clothes on a chair, $1.7m^2$; the behavior of watching TV on the floor $1.3m^2$, the behavior of working and reading using a desk, $2.1m^2$, the behavior of exercise, $2.5m^2$; the behavior of showering on a chair, $1.3m^2$ and showering using a wheelchair, $1.9m^2$; the behavior of toileting using a wheelchair, $2.3m^2$; the behavior of washing up using a wheelchair, $1.9m^2$; the behavior of eating using a table for four persons, $4.4m^2$; the behavior of cooking and washing dishes, $0.9m^2$ per counter-top; the behavior of washing clothes using a washing machine, $0.9m^2$; the behavior of ironing on the floor $1.4m^2$; the behavior of reception(three persons) on the floor considering personal space, $4.0m^2$; the behavior of taking on and off shoes on a chair, $1.3m^2$. The result of the study is utilized as quantitative data to calculate optimal floor space for elderly housing. In addition, qualitative data such as characteristics of housing preference, spacial usage and storage capacity are necessary to produce the floor space which can provide convenient and safe living environment.

• Journal of Korean Academy of Nursing
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• v.15 no.3
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• pp.62-73
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• 1985

The problems of growth & development due to maladjustment are gradually increasing while need for the treatment of children's diseases is decreasing. The level of developmental deficiency or delay correlates with neonatal birth weight and also with gestational age, i.e. degrees of prematurity. There-fore, developmental defects and potential risk factors' are more Common in premature infants than in full term infants. The purpose of this study is to define the difference in the growth at developmental status between premature and full term infants, and to define the relation between the developmental status and the physical growth during the first 3 years' Data were collected from January 10, 1985 to April 6, 1985 at 3 hospitals including St. Mary's Hospital, and through home visiting. The subjects of this study consisted of 79 Premature infants (G.A. <37wks. & B.W. <2.5kg) and 94 full term infants (G.A.≥37 wks. & B.W.≥2.5kg). The study method used was a questionnaire, anthropometric assessment and DDST for normative data of growth & development. The collected data were analyzed using descriptive statistics, chi-square test and t-test. The results of the study were as follows: Hypothesis: 1 : That the prematures will differ from the full term infants in the physical growth status during the first 3 years was partially supported (p＜0.02) : The prematures reached up the full term infants in the physical growth status in the first 6 months. And, the first hypothesis was supported (P<0.01) : There are more cases which is below‘the Korean children's physical. growth standards’in prematures than in full term infants. Hypothesis 2 : That the prematures will differ from the full term infants in the developmental status during the first 3 years was supported (P< 0.001)；‘Normal’developmental status due to DDST was less in prematures than in full term infants. And, the second hypothesis was Partially supported (P<0.02) : The developmental status of the pre-matures was different from that of the full term infants within the first 3 months by analysis of passed items in DDST, Hypothesis 3 : That the prematures' developmental status will relate to their physical growth during the first 3 years was supported (P<0.001) : If the prematures' developmental status is in delayed status, then, their physical growth status is also in delayed status. This study shows that the prematures differed significantly from the full term infants in the growth at developmental status during their infancy. This means that the nurse can foster the growth & development of the prematures by supportive care during their infancy. Further longitudinal study is needed to verify these findings for the environmental factors.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.2
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• pp.1083-1087
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• 2013

Background: Colorectal cancer has several modifiable behavioural risk factors but their relationship to the risk of colon and rectum cancer separately and between countries with high and low incidence is not clear. Methods: Data from participants in the Asia Pacific Cohort Studies Collaboration (APCSC) were used to estimate mortality from colon (International Classification of Diseases, revision 9 (ICD-9) 153, ICD-10 C18) and rectum (ICD-9 154, ICD-10 C19-20) cancers. Data on age, body mass index (BMI), serum cholesterol, height, smoking, physical activity, alcohol and diabetes mellitus were entered into Cox proportional hazards models. Results: 600,427 adults contributed 4,281,239 person-years follow-up. The mean ages (SD) for Asian and Australia/New Zealand cohorts were 44.0 (9.5) and 53.4 (14.5) years, respectively. 455 colon and 158 rectum cancer deaths were observed. Increasing age, BMI and attained adult height were associated with increased hazards of death from colorectal cancer, and physical activity was associated with a reduced hazard. After multiple adjustment, any physical activity was associated with a 28% lower hazard of colon cancer mortality (HR 0.72, 95%CI 0.53-0.96) and lower rectum cancer mortality (HR 0.75, 95%CI 0.45-1.27). A 2cm increase in height increased colon and all colorectal cancer mortality by 7% and 6% respectively. Conclusions: Physical inactivity and greater BMI are modifiable risk factors for colon cancer in both Western and Asian populations. Further efforts are needed to promote physical activity and reduce obesity while biological research is needed to understand the mechanisms by which they act to cause cancer mortality.

• The Research Journal of the Costume Culture
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• v.15 no.1 s.66
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• pp.37-57
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• 2007

The purpose of this study was to analyze the body measurements of boys and girls at puberty and to provide the fundamental data for pubescent apparel manufacturers to produce clothing that reflect their physical characteristics. A total of 549 boys and 529 girls aged between 10 and 14 were measured in the capital area from March 4 to April 3, 2004. Data were collected from 35 anthropometric items and 12 photographic items per a person. SPSS Ver. 12 program was used in data analysis including means, standard deviation, t-test and Duncan test. The main results of this study were as follows. They showed the significant difference of their growth in accordance with the increase of their ages. There were also the difference between boys and girls. As for height and length items, boys showed a slow growth at the age of $10{\sim}11\;and\;12{\sim}13$. Those at the age of $11{\sim}12\;and\;13{\sim}14$ showed rapid growth. That is, an active growth was followed by a slow growth and that phenomenon repeatedly occurred. On the other hand, girls showed remarkable growth at the age $10{\sim}11$ and the growth rate gradually slowed down afterward. Regarding circumference items, boys at the age of $11{\sim}12\;and\;13{\sim}14$ showed remarkable growth. This results showed that boys at the age of $11{\sim}12$ had vertical growth and horizontal growth at the same time and for those at the age of $13{\sim}14$, growth was more conspicuous in horizontal direction. Meanwhile, for girls, the growth rate was high at the age of $11{\sim}12$, somewhat later than the age of the growth of height and length. As for breadth-related items and depth-related items, for both sexes two items grew steadily throughout the ages, breadth-related items showed a higher growth rate than that of depth-related items. This study analyzed the body measurements of pubescent boys and girls and the results showed that, for boys, an active physical growth took place at the age of 13 according to previous studies, but the findings of this study suggested that the phenomenon now occurred at the age of $11{\sim}12$, which proved that physical growth took place earlier than before. Also, an active growth was followed by a slow growth. Girls at puberty showed remarkable growth of height at the age of $10{\sim}11$ that is consistent with previous studies and then showed horizontal growth at the age of around 12, having a voluminous body shape.

• Archives of design research
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• v.14
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• pp.1-7
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• 1996

Designers often hesitate to decide the shape, size, and layout of a product. Though ergonomic principles and data are absolutely needed in this process, they don have enough guidelines to refer. For the refrigerator designers, they also are not convinced of their decision: the vertical position of the freezing and refrigerating rooms, the height of shelves, the shape of door-handle, etc. To support the refrigerator design, we applied several ergonomic methods to the evaluation of refrigerator. EMG was measured to evaluate the load of users lumbar muscle. Based upon the experimental EMG data, we developed a model to estimate the relative load corresponding to the height of refrigerator shelves. Two different layouts of a refrigerator, R/F and F/R styles, were compared with the model. A three-dimensional motion analysis method was used to evaluate the users motion of using a refrigerator. Ten door-handles with the different shapes and positions were evaluated by tracking the rotations of the users arm. Video protocol analysis was used to evaluate the user interface of a control panel in a refrigerator. Finally, we suggested several ergonomic design guidelines based on the facts found in this research and the anthropometric data of the Korean adults. The results of this study can be applied to the ergonomic design of refrigerators

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.4
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• pp.669-684
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• 2016

This study investigates Korean fighter pilot's usage and satisfaction of a flight duty uniform (FDU). The survey was conducted from October 2014 to March 2015 using Focus Group Interview (FGI) and questionnaires. FGI collected qualitative data about duty and requirements; subsequently, surveys were performed to collect quantitative data about wearing conditions and satisfaction with FDU. The results of the FGI and the questionnaire were as follows. Type of pilot duty was divided into two parts, flight duty and ground duty. It is important to consider duties as well as factors related to survival when developing FDU. According to anthropometric data and wearing size, the basic size for apparel grading should be changed from actual size, 'M95XL' to 'M100L'. It is also necessary to improve the whole sizing system. Further studies about body form changes in pilot's movement are needed to improve mobility because the respondents perceived some restrictions at several body parts in movement with the coverall uniform. Summer FDU had a low satisfaction level in vent hole function and appearance. Furthermore, protection problems in the vent hole were also an issue. Making a seasonal classification of FDU fabric will be more effective than a vent hole to increase a pilot's thermal satisfaction. Respondents had a passive stance towards FDU reform (including pocket change); therefore, a new FDU design strategy should concentrate on improving current FDU functions like mobility (or comfort) rather than dramatic changes. Pilots complained about the quality stability of FDU; therefore, quality control by military administration as well as concrete and clear design instructions by the developer should be attained together. The results obtained in this study are expected to be used as an important basis for the further development of FDU.

• Clinical and Experimental Pediatrics
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• v.53 no.3
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• pp.341-348
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• 2010

Purpose : Body composition is important to define and manage obesity and undernutrition. Obesity is a significant health problem with medical and psychological consequences for children and adolescents. Body composition analysis (BIA) is a simple, rapid, noninvasive, and reproducible technique. However, comparative analysis of body composition has not been done in young children below 7 years old. The aim of this study is to estimate antropometric data and body composition by BIA, and to investigate the correlation between anthropometric data and fat mass or fat percent in young children. Methods : We measured height, weight, body mass index (BMI), fat mass, and fat percent by BIA in 1,376 children aged 3-6 years of whom 688 were males and 688 were females. Results : Fat mass, fat percent, intracellular fluid, extracellular fluid, protein, and minerals were significantly higher in the obese group. A significant positive correlation exists between fat mass and BMI or weight. A significant positive linear correlation was also noted between fat percent and BMI. Protein, weight, fat mass, and fat percent were significantly different among groups. Conclusion : BIA is an objective, accurate method to estimate body fat in childhood obesity cases. Fat mass and fat percent data acquired by using BIA highly correlated with BMI. However, a large-scale study is needed to diagnose obesity in young children.

• Clinical and Experimental Pediatrics
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• v.61 no.5
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• pp.135-149
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• 2018

Growth charts are curves or tables that facilitate the visualization of anthropometric parameters, and are widely used as an important indicator when evaluating the growth status of children and adolescents. The latest version of the Korean National Growth Charts released in 2007 has raised concerns regarding the inclusion of data from both breastfed and formula-fed infants, higher body mass index (BMI) values in boys, and smaller 3rd percentile values in height-for-age charts. Thus, new growth charts have been developed to improve the previous version. The 2006 World Health Organization Child Growth Standards, regarded as the standard for breastfed infants and children, were introduced for children aged 0-35 months. For children and adolescents aged 3-18 years, these new growth charts include height-for-age, weight-for-age, BMI-for-age, weight-for-height, and head circumference-for-age charts, and were developed using data obtained in 1997 and 2005. Data sets and exclusion criteria were applied differently for the development of the different growth charts. BMI-for-age charts were adjusted to decrease the 95th percentile values of BMI. Criteria for obesity were simplified and defined as a BMI of ${\geq}95th$ percentile for age and sex. The 3rd percentile values for height-for-age charts were also increased. Additional percentile lines (1st and 99th) and growth charts with standard deviation lines were introduced. 2017 Korean National Growth Charts are recommended for the evaluation of body size and growth of Korean children and adolescents for use in clinics and the public health sector in Korea.