• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.6
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• pp.850-860
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• 2000

The purposes of this study was to provide the fundamental data for children's wear standardizing sizes of ready-made clothes by analyzing the elementary school girls’somatotype. The subjects for anthropometic measurements were 434 elementary school girls’by age groups < ‘(1st age(1ㆍ2 grade)’,‘2nd age(3ㆍ4 grade)’, and 3rd(5ㆍ6 grade)’ > living in Pusan. According to the analysis of upper bodies by the age groups 1. According to the analysis to draw somatometric factors by the age groups, sevenㆍseven and six actors in 1st . End and 3rd age groups are obtained from measurements of upper body. 2. The 1st & 2nd age groups: As the result of factor analysis for the factor, the first and second factors which explain more than 70% of the whole variance represent“horizontal size”and“vertical size”, which characterize more aspects of the body shape of girls at elementary school ages. 3. The 3rd age groups: As the result of factor analysis for the factor, 6 factor which explain 74.39% of variance were extracted form anthropometic data. The first factor represented the items of circumference, breadth and depth related to“sectional size the front length of the upper body”, The second factor described the items of "heights & the back length of the upper body”.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.1
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• pp.144-154
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• 1997

For design of early childhood children's footwear, this study was to analyze the foot type by factor analysis and cluster analysis. This study was performed 200 male and 200 female early childhood children from 3 to 6 years, reported in part 1. The result was as follows : 1. There are no significant differences concerning significances, factor loading, eigenvalues, and contribution rates of factor among the results abtained by analyzing the male, female and both sexes data. 2. The 1st factor signifies the size factor that represents total foot mass. The average scores of the 1st factor significantly increase with age in both sexes, and those scores of male are significantly higher than those of female. 3. The End factor signifies the height of Tarsal, Heel and Arch. The average scores of the 2nd factor significantly increase with age in both sexes, and there are no significant differences between the average scores of male and female's except the age 3. 4. The 3rd factor signifies the shape of Metatarso-phalanx angle. The average scores of the 3rd factor significantly decrease with age in female. 5. There are four clusters selected by fastcluster in every age group. The characteristics of four clusters of every age group are different significantly.

• Journal of Nutrition and Health
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• v.35 no.9
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• pp.996-1006
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• 2002

A total of 321 salaried employees were surveyed by questionnaires during September and October 2001 in order to investigate the bases for their choices between 26 popular menu items in JinJu restaurants. The subjects were aged 20 to 61 years, and were classified into 3 age groups (ages 20-29, 30-39, and over 40) and 2 gender groups. The data were analyzed using the SAS program for factor analysis. The results of this study were as follows: 1) The 26 popular menu items were classified into 6 factors by the 20-29 age group, into 5 factors by the 30-39 age group, and into 3 factors by the over 40 age group. The younger age group had the more numbers of factor which act as choice criteria of restaurant foods according to the purpose of eating out. 2) Because subjects classified steak and fast food into the same factor named 'new generation's food', we found that steak was an unfamiliar food for most of them, 3) The 20-29 age group had an aversion to Boshintang(dog soup), while the 30-39 age group and the over 40 age group liked Boshintang as a stamina food. 4) The over 40 age group, and men in all age groups, didn't choose Buffet and Shabushabu as a dinner food because they had negative attitudes toward novel or unfamiliar foods. 5) Women distinguished between a factor called 'social drink and party food' from a facor called 'dinner food', while men integrated the factor of 'dinner food' into the factor of 'social drink and party food' 6) Men preferred Samgyetang (chicken stew with ginseng) and Yangnyeumtongdak (spicy fried chicken) as a 'social drink and party food', while women preferred Dwaejibossam (boiled pork and kimchi) and Beef Bulgogi. In conclusion, most of subjects did not recognize fast food and steak as a meal, which were introduced recently in JinJu. The choice criteria and preferences of restaurant foods were different from the age and gender groups. The over 40 age group, and men in all age groups, had more negative attitudes toward novel or unfamiliar foods than the younger age and women groups.(Korean J. Nutrition 35(9) : 996~1006, 2002)

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.1
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• pp.218-227
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• 1996

The purpose of this study was performed to analyze the trend of bodytype change of adult males. Subjects were 1290 Korean adult males and their age range was from 19 to 54 year, ; old. 75 variables(66 variables from the direct anthropometric data and 9 variables from the multiplication method) in total were applied to analyze. The principal component analysis was applied to the data with orthogonal rotation after extraction of major factors. The high factor loading items extracted by factor analysis were analyzed for the trend of bodytype change by the age group respectively. The result of factor analysis indicated that the first factor was composed with about 30 items, girth, depth and width-measures in 4 age groups and was analysed as form factors. Especially, age-related change was caused by increase of waist girth, depth and width. The second factor was composed with about 23 items, length and height-measures in all age groups. Stature has a constant factor loading value in 4 groups. Front and back waist-height and the navel-height have the highest factor loading value. The third, fourth and fifth factors were composed with different variables among the age groups.

• Journal of Korea Association of Health Promotion
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• v.2 no.1
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• pp.39-46
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• 2004

Purpose:It has been known that the prognosis of a young woman's breast cancer is Poorer than the other woman However, the effect of age on the prognosis is not well-defined We performed this study to investigate age as a prognostic factor of breast cancer. Materials and Methods : A retrospective study was conducted for 3209 breast cancer patients who underwent operations in Department of Surgery, Seoul National University Hospital from January 1981 to December 2000. Patients were divided into two groups, young age(≤35) and old age(>35) groups. And tumor stage, histopathologic characteristics(such as histology, nuclear grade, histologic grade, hormonal receptor, etc), overall survival and disease free survival rates were compared between age groups. Results . The age ranged from 17 to 88 years. 396 patients(12.3%) were included in young age group(median=32) and 2813 Patients(87.7%) in old age group(median=47).There are more advanced stages and poor nuclear grades in young age group(p=0.000, p=0.003), By log-rank test, the young age group had poorer overall survival and disease free survival rates(p<0.05, p=0.0002). Although, the young age group had more advanced TMN stages(p=0.000) and poorer nuclear grade than the old age group(p=0.003) in multi variate analysis, the age was not a significant independent prognostic factor. (P=0.642)Conclusion: Our study showed that the age was not a significant independent prognostic factor.

• Journal of the Korean Society of Costume
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• v.51 no.6
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• pp.167-176
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• 2001

This study analyzes characterization and classification of body types of Mongolian women aged 18∼39 ages. The anthropometric measurements of the research subjects come up to a total of 23 items and are summarized as follows : 1. As the results of comparative analysis of the body measurements by age group, 16 items show a significant difference except shoulder height, thigh girth, neck base girth, back length shoulder length, sleeve length and weight. Both age group are considered to be of average weight but 25 to 39 age group were slightly greater than that of the 18 to 24 age group. 2. As the results of factor analysis, 4 factors such as the first factor on the obesity of body, the second factor on the vertical size of body, the third factor on the back length, the forth factor on the shoulder width and neck base girth were extracted. 3. As the results of classification based on the duster analysis, the body types were classified into 3 types in each age group. In each age group the most frequent body type is average stature and slightly thin type.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.6
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• pp.1008-1020
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• 2010

This study investigates the effects of clothing consumption values and subjective age on fashion adoption. To explain the fashion adoption of elderly women, 5 dimensional consumption values were adopted as explanatory factors, and subjective age is included as a moderating factor. This study tested the relationship of variables with survey data from a convenient sample of elderly women. A total of 235 complete responses were obtained from women between 50 and 71 years of age. The results are as follows. First, factor analysis on clothing consumption values resulted in 5 dimensional structures of consumption values for the sample (epistemic, symbolic, harmonic, popular, and practical values). A factor analysis on subjective age resulted in 2 dimensions (physical and mental age). Second, epistemic, popular, harmonic (-) and symbolic values (except practical value) significantly affected fashion adoption. Third, the epistemic value was the strongest factor regardless of physical and mental age but the effects of epistemic, popular, harmonic, symbolic, and practical values changed depending on the level of the moderating factor.

• Journal of the Korean Society of Costume
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• v.40
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• pp.81-93
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• 1998

It is necessary to research shape of the breast of girls at adolescence for developing well-fit brassiers. 313 participants reside in Chonju and Kunsan were gathered for body measurement. The conclusion of this study can be summarized as follows. 1) The Analysis of Body Shape by Measurement. Comparing Age GroupⅠ(aged 10 to 12)' measurement with Age GroupⅡ(aged 13 to 15)', Each items has statistical significance. Two groups differed in the length, girth, depth, width items. 2) Factor Analysis of Body Measurement (1) Age GroupⅠ'characteristics were categorized Three Factor : Breast size and breast apex length. Breast volume, Length of the Breast part. (2) Age GroupⅡ' characteristics consist of four factors, which are named as breast size and its jut (first factor), breast volume (second factor), contour of breast profile & its jut (third factor), shoulder length (fourth factor). 3) Characteristics of Breast Shape. (1) Breast shapes of Age GroupⅠ are classified into three types. Types 1 is a protruded and more voluminous shape. Type 2 is the most voluminous and breast fatness is highest. Type 3 is the smallest and flat shape growing now. (2) Breast shapes of Age GroupⅡ are also classified into three types. Type 1 is the longest in length and middle in fatness, voluminous in size. Type 2 is the smallest in stature and the slimmest in fatness in breast shape. Type 3 is middle in length, the fattest and the most voluminous in breast.

• Journal of the Korean Home Economics Association
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• v.34 no.2
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• pp.85-97
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• 1996

The purpose of this study was to analyze the differences of breast shapes by age, to classify breast types, and to investigate the characteristics of breast shapes by type and the distributions of types by age group, using comparative analysis for women in 20's and 40's. The subjects of anthropometry were 323 women in 20's and 40's. The anthropometric measurements were analyzed by mean, standard deviation, frequency, T-test, F-test, Duncan test, factor and cluster analysis. The results are as follws : 1) According to the increase of age, the items of height were decreased and the items of width, depth, circumference and length were increased, being obeser and breast points were dropped. So the volume and bottom area of 40's women's breast were larger than 20's women's and the breast point to breast point width of 40's women was being wider by the increase of the intereior of breast. 2) 6 factor were extracted from factor analysis by age group. There was no significant difference in consist of factor between age group. There was no significant difference in consist of facotr between age group, but were differences in the connection of factor extracted items and factor loading. Through factor analysis of all age froup, 5 factors were extracted as important factor of breast shapes (obesity of breast and location of breast point ; breast height and volume ; upper dimensions of breast/lower dimensions of breast ; interior dimensions of breast/exterior dimensions of breast ; volume of the lower part and drop of breast). 3) The breast shapes were classified into 4 types by cluster analysis. The frequency of 20's women's breast types appeared in order of type1(53.0%), type3(32.0%), type2(11.0%), type4(4.0%), but that of breast types of 40's women appeared in order of type2(37.9%), type3(31.1%), type4(26.5%), type1(4.5%). Namely, there was few type4 in 20's women and few type1 in 40's women. 20's women's breast types were characterized as type1·3 and type2·3·4 in 40's women. So 40's women had more various breast types than 20's women's.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.2
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• pp.292-301
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• 1997

The purpose of this study was to consider the bodyshape factor of adult women according to their age groups. Age groups were 20's, the first half of 30's, the last half of 30's, 40's, 50's. Factor analysis was performed and bodyshape factors were abstracted at sight of front and side line of the body. Results indicate that the bodyshape factors were different to each age groups, so, age is very important component to the change of body shape of adult women. A suggestion is when they make standard sizes of women's ready-made clothes, it is important to reflect thier characteristics of body shape according to each age groups and age can be a standard to classify the body types of adult women.