• 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 Convergence Society
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• v.10 no.3
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• pp.383-393
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• 2019

The present study was conducted to determine convergent factors affecting depression in drinker by age. This was a cross-sectional secondary data analysis study that used the raw data from the Korea National Health and Nutrition Examination Survey in 2014 & 2016. The subjects of the present study were 4,446 middle-aged drinker. Variables related to general characteristics, physical and psychological factors were selected. After a sampling plan compound file was created using IBM SPSS 23.0 program, data were analyzed by giving weights. Depression was influenced by gender (30s, 50-60s), income (30-40s, 60s), education (30-40s), number of family members (30-60s), job (30-60s), eating level (30-40s, 60s), hypertension (40s), DM (30-40s), BMI (30-40s), smoking (30s, 50s), exercise (30s), weight control (60s), drinking binge (30-60s), subjective health (30-60s), subjective body awareness (30-50s), stress (30s-60s), quality of life (30-60s). It is required to design preventive interventions and management plans for depression, considering these factors comprehensively.

• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.4
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• pp.41-56
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• 2022

This study aims to investigate the actual condition of wearing leggings and the preferred design of down-aging women in their 30s and 40s who have young sensibility, but are starting to enter a middle-aged body type. By analyzing the problems experienced when wearing leggings in this age group, this study intends to provide basic data for the development of a middle-aged female leggings pattern with an improved fit. Therefore, a survey was conducted on 214 women in their 30s and 40s. The results of the survey are as follows. Among down-aging women who want to look younger, leggings are becoming an essential item, but most leggings brands are producing leggings with patterns suitable for women in their 20s. The results of this study also showed that down-aging women in their 30s and 40s mainly purchase and prefer body-fitting leggings. However, they are experiencing discomfort due to 'Y-zone accentuate', 'undergarment accentuate', 'cloth stucking', and 'waist band curling and tightening'. The results indicate that women in their 30s and 40s, who are starting to change to a middle-aged body type, have fit problems. Women in their 20s generally prefer functions that improve the body line, while those in their 30s and 40s prefer functions that improve movement and cover problems caused by the abdomen and the Y-zone area. Therefore, when designing leggings for down-aging women in their 30s and 40s, based on body-fitting leggings, a material with excellent elasticity must be selected. Also develop patterns that solves 'Y-zone accentuate', 'undergarment accentuate', 'cloth stucking', and 'waist band curling and tightening' problems.

• 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.

• Journal of Sasang Constitutional Medicine
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• v.12 no.2
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• pp.143-152
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• 2000

1. Background and Purpose The faces of human being change as they grow older. We could know the characters of the each ages, through the facial comparison between the 30's, 40's and the 50's, 60's. As a conclusion, I carried out this Study because I thought that the errors of diagnosis would be reduced a lot through the standardization researches about the morphology of faces. 2. Objectives The object of this study is selected from the patients who were already diagnosed Sasang Constitutions at the department of Sasang Constitutional Medicine in Kyunghee Oriental Medical Center. The number of the patients were 69 men in 30's and 40's, and 74 men in 50's and 60's. 3. Method I took the photographs of front view and lateral view of the objectives by digital camera and obtained the 200 measure through the facial measurement program. I compared the measure of 50's and 60's with 30's and 40's by independant t-test. 4. Results 28 measures are different 30's and 40's with 50's and 60's in Soyangin, 31 measures in Soeumin, 40 measures in Taeumin. 5. Conclusion (1) Soyangin showed wider interpupillary distance in 30's and 40's than 50's and 60's. They also showed the large brow and cheek and their lips were thick and prominent and their ophyrion were prominent and their noses were wide and large and they showed wide bigonial breadth in 30's and 40's than 50's and 60's. (2) Soeumin showed the position of ears were higher and the brows were longer and larger in 30's and 40's than 50's and 60's. The width of both eyebrow were wider in 50's and 60's than 30's and 40's. The lower 2/3 portion of the face was longer and the shape of head was longer in vertical in 50's and 60's than 30's and 40's. (3) Taeumin showed the wider brow in 30's and 40's than 50's and 60's. The width of each eyes was wider and the width of cheek and face was larger, too. The ophyrion was prominent and the mouth was bigger and the face showed longer in 50's and 60's than 30's and 40's. (4) The upper 1/3 portion of the face was large in 30's and 40's and the lower 2/3 portion of the face showed large and long in 50's and 60's regardless Constitution.

• 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.

• Restorative Dentistry and Endodontics
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• v.6 no.1
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• pp.63-70
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• 1980

This study was to determine the incidence of pulp stone in each tooth by means of analyzing 375 orthopantomograph taken from 375 patients (252 male), 125 female). The pictures were grouped by age, 20s, 30s, 40s, 50s, and sex. The results were as follows 1. In the group of 20s, male showed the highest incidence in the first molar (40~50%) and the second highest was in the 2nd molar about 35%~50%. In the female group, the first molar and the second molar showed 25%~40%. 2. In the group of 30s, the highest value was found on the first molar and the next was the 2nd molar which appeared 30%~40% in male. In the female, the first molar was 55%~70% and the 2nd molar 30%~50% 3. In the group of 40s, the first molar represented highest value about 45%~60% and the 2nd molar was 40~60% in the male. Female group also showed in the first molar 30%~50% and the second molar 25~30%. 4. In the group of 50s, the highest incidence was 40%~60% on the first molar and next was 35%~50% on the second molar in male, in femalegroup showed 30%~50% on the first molar and 25%~50% on the second molar. 5. The incidence in upper was higher than that of lower. 6. Comparison between right and left showed right was slightly higher than left side.

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.126-131
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• 2019

This study investigated the relationship between depressive symptoms and interests of workers in their 30s to 40s. This study recruited 49 workers who fit the selection criteria. Descriptive, frequency, and regression analyses were performed. To describe participant characteristics and the classification of depression and interest, descriptive and frequency analyses were used. The effect of interest patterns on depressive symptoms was analyzed using a multiple regression analysis, specifying the significance level at 0.05. The results of this study showed that half of the respondents, who were in their 30s and 40s, experienced depression. In addition, this study indicated that interest of workers in their 30s to 40s in daily, cognitive, physical, and social activities in the present was lower than that in the past. This interest level affected depression in past and present interest (p<0.05). This study investigated the relationship between interest and depression of workers in their 30s to 40s and suggest that interest in various areas may help prevent depression.

• 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.