• 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 Korea Fashion and Costume Design Association
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• v.16 no.3
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• pp.201-217
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• 2014

There is likely to be a fit problem when women aged in their 30s-40s purchase down-age clothing from brands that target women in their 20s. To identify the part of the lower body that causes the fit problem, the sizes and types of lower body of women in their 30s-40s were compared with those of women in their 20s. The data for this study was from the 2010 Size Korea survey of body measurements of 1675 female adults in their 20s-40s. To examine differences in the average sizes of the lower body between women in their 20s and 30s-40s, descriptive statistics and t-tests were conducted. Factor and cluster analysis were used to classify body types by age groups. On the whole, compared to women in their 30s-40s, women in their 20s were found to be higher for all height items and smaller for size, thickness and width items. The result of the Glycemic index analysis showed that the body type of women in their 20s was generally larger than that of women in their 30s-40s. In addition, women in their 20s had a large drop value compared to those in their 30s-40s, whereas flatness of body cross section was bigger in the group of women in their 30s-40s. Four factors related to the lower body type of female adults in their 20s-40s were identified in the factor analysis, and three categories of body type were identified by cluster analysis. A Type 1 individual had abdominal obesity and chubby lower limbs, Type 2 had short legs and slightly chubby lower limbs, and Type 3 had long legs and a skinny lower body. A significant number of women in their 30s-40s were included in the Type 1 group, which was the least common category for women in their 20s.

• Journal of the Korean Society of Costume
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• v.55 no.4 s.94
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• pp.16-28
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• 2005

The purposes of this study were to understand the buying patterns of adult women according to impulse shopping, benefits sought, and selecting information sources. This subjects of this study were 509 adult women from the age 20's to the age of 40's. This data were analyzed by using factor analysis multi regression analysis, analysis of variance, Scheffe' test. The results of this study were outlined as follow: 1. Differences among ages (the 20's, the 30's, and the 40's) in impulse shopping were as follow: The 30's bought more cosmetics to change their mood compared to the 20's or the 40's, and the 20's and the 30's bought more cosmetics matching to their images compared to the 40's. 2. From the aspects of benefits sought, the 20's and the 30's were more seriously consider the fame of brands compared to the 40's, showing they were different from the 40's. 3. From the aspects of selecting information sources about cosmetics, the 20's were more actively utilizing both human information sources and non-human information sources compared to the 30's and the 40's.

• Fashion & Textile Research Journal
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• v.20 no.6
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• pp.733-743
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• 2018

This study aimed to investigate whether women's wear brands' sizing systems for pants item are reflecting body size and shape of their target age customers. This study classified 17 women's wear brands into three target age groups (20-30s, 30-40s, and 40-50s) and surveyed their body sizing systems of pants item. Distribution of waist circumference and hip circumference of brands' sizing systems were compared with size distribution of women in the 7th Size Korea data. The sizing systems of brands targeting 20-30s covered 28.3% and those of brands targeting 40-50s covered 27.3%, while those of brands targeting 30-40s covers 46.6%. Regarding the body types, 80% of 20-30s target brands reflected normal type which is the average body type. However, all 40-50s target brands reflected normal type while 57.8% of women aged 40-50s had large waist shape. The 30-40s target brands reflected body types the best among target age groups since the body shape distribution of the brands was similar to that of 30-40 year old woman in Size Korea. For each age group, 6 sizes with 25.2~27.8% coverage rates were proposed. The 70-91, 73-91, 73-94 sizes were overlapped between the 20-30s and the 30-40s groups. The 76-91, 76-94, 79-94 sizes were overlapped between the 30-40s and 40-50s groups. Pants size has been found to increase in waist circumference compared to hip circumference as age increased.

• Journal of the Korea Fashion and Costume Design Association
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• v.18 no.2
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• pp.15-33
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• 2016

Women in their 30s and 40s, who are at the center of "ageless" and "down-aging" consumer trends, are likely to encounter problems with fitting and size conformity when they wear casual clothes targeting women in their 20s. Hence, differences in upper body sizes and body types between women in their 20s and women in their 30s and 40s were analyzed. The data for this study was from the 6th Size Korea survey of body measurements of 1,675 female adults in their 20s-40s. SPSS 21.0 for Windows was used for analysis of the collected data. To examine differences in average upper body size between women in their 20s and women in their 30s and 40s, descriptive statistics and independent sample t-tests were conducted. Factor and cluster analyses were used to classify body types by age groups. Comparing direct measurement items showed that women in their 20s tend to have higher average values for most height-related items-including body height-and lower average values for circumference, thickness, and width than women in their 30s and 40s. Factors in determining the upper body shapes of women in their 20s to 40s were narrowed to five; through a cluster analysis, upper body shapes of women were classified into three body types as follows. Type 1 women are shorter and thinner with small frames; Type 2 women have the highest vertical values for their upper bodies and average values for obesity-related categories of circumference, thickness, and width. Type 3 women are the shortest and has the highest body mass index (BMI), verifiable as obese. By analyzing differences in body type distribution according to age groups, it was found that more than 90% of women in their 20s belong to Types 1 and 2. On the other hand, most women in their 30s and 40s are identified as Type 3.

• Journal of Korean Ophthalmic Optics Society
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• v.17 no.3
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• pp.273-278
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• 2012

Purpose: Average of the maximum accommodation amplitude of myopia in different generation, early 20's and early 40's were compared according to gender, degree of myopia. Methods: Maximum amplitude of accommodation for each 100 patients of early 20's and 40's were measured with push-up method. Maximum amplitude of accommodation expectations based on Hofstetter formula were classified into three groups of under, normal and excess. Results: The average of amplitude of accommodation was 9.77~11.64 D $(10.77{\pm}2.49D)$ in early 20's and 4.67~6.21 D $(5.34{\pm}1.28D)$ in early 40's. In early 20's, minimum expectations of amplitude of accommodation for under, normal and excess groups were 20%, 75%, and 5%, repectively. In early 40's, excess and under groups were 5% and 18%, repectively, but there was no excess group. Conclusions: According to increasing age, amplitude of accommodation of both age groups showed decreased, and no significant difference was found in degree of myopia with gender. Difference between mean of expected accommodation amplitude and maximum of accommodation amplitude was compared, and it was found that maximum of accommodation amplitude of 20's was smaller than mean of expected accommodation. From the result, it was expected that people in early 20's who have more working times might have festinated accommodative insufficiency than 40's.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.2
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• pp.171-183
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• 2012

This research attempted to examine whether there were differences in preference for the shoes according to fashion lifestyle and age by conducting survey on 200 women of 20s and 40s among the adult women who were expected to have interest in not only functionality but also aesthetic aspects of shoes. First, the results of comparing the preferences according to fashion lifestyles showed that those who pursued practical group preferred loafer, strap shoes, and baggy boots, indicating that they preferred low and comfortable shape of shoes which are easy to put on/take off and easy to coordinate with any clothes. Those who pursued personality group and ostentation group were more sensitive to fashion than practical group preferred high heel shoes, which could express their own personality, it would be great to have various designs by reflecting the trendy materials and details focusing on pumps, strap and walker boots which can express individuality and supplement the body shape and height as matching to the trendy clothes. Second, as women in 20s have tendency to show more preference of a certain trendy shoes shape than women in 40s, the shoes designs for 20s should focus on certain types of shoes preferred by them by varying materials and details, rather than having various designs. However, it would be great to show various designs for the shoes for 40s. Most of the 20s are the individual and complex fashion-seeking types while the 40s have the most of practical fashion-seeking type and the least of individual fashion-seeking type.

• Journal of Biomedical Engineering Research
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• v.27 no.6
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• pp.318-322
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• 2006

The purpose of this study is to examine differences between 20s and 40s in visuospatial performance and brain activation areas using functional Magnetic Resonance Imaging (fMRI). Eight male college students in their twenties ($21.5{\pm}2.3$ years old) and six male adults in their forties ($45.7{\pm}2.6$ years old) who were graduated from college participated in the study. A visuospatial task was presented while brain images were acquired by a 3T fMRI system. Compared to the 20s the 40s showed lower visuospatial performance. There were more activations observed at the parietal and superior frontal areas at 20s compared to 40s. There were more activations observed at the middle frontal and occipital areas at 40s compared to 20s. The results of this study show that the lowering of visuospatial performance with aging was correlated to the decrease of activation area at the parietal lobe and the change of activation area at the frontal lobe.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.1
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• pp.134-146
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• 2008

This study measured the body parts of female adults in their 20s, 40s and 60s living in Japan and analyzed and examined the measures by age group in order to provide the basic data required for the somatics study of Koreans living abroad. The subjects were 304 women in their 20s, 40s and 60s born in Japan and living in Osaka at present, and 81 items were measured. The major results of this study are described below. All women in their 20s, 40s and 60s showed significant differences in weight, waist size and abdominal size. The 19 height items of which group were different from the measurements of the women in their 60s. All 20 length items displayed a significant difference by age group. The significant differences by age group were also observed in eight items of 12 width items, 10 items of 13 thickness items and 13 items of 14 girth items except the ankle girth. The weight measurements had a significant difference by age group(${\le}0.05$). The women in their 20s, 40s and 60s revealed almost similar values in the shoulder angles. As a result of the analysis above, the items that were considered being included in the obesity items in all age groups displayed significant personal differences. The women in their 20s had the largest sizes in the length and height items. The older the age, the higher the measures of width and girth items were. Those results helped to estimate the change of figures by torso by age.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.6
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• pp.1056-1068
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• 2018

This study investigates whether women's wear brands' sizing systems reflect the body size and shape of their target age customers. This study classified 17 women's wear brands into three target age groups (20-30s, 30-40s, and 40-50s) and surveyed their body sizing systems for jacket items. The distribution of bust circumference and hip circumference of brands' sizing systems were compared with the size distribution of women in the 7th SizeKorea data. The brands targeting 20-30s fully produced five sizes which are the highest coverage rate, but the brands targeting 30-40s produced three sizes, and the brands targeting 40-50s produced one size. Regarding the body types, 60.0% of 20-30s target brands and 42.9% of 30-40s target brands reflected N type which is the average body type of each age group. However, the rest of the brands, including all 40-50s target brands, reflected A type which covered small portions of women. For each age group, 6 sizes with 24.0-29.0% coverage rates were proposed. With regard to the 88-94 size, three age groups overlapped: the 82-91 size was overlapped between the 20-30s and the 30-40s groups along with the 85-91 and 88-91 sizes that overlapped between the 30-40s and 40-50s groups.