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.
The purpose of this study was provide for the useful fundamental data by developing an lower appeal sizing system according to body types for early 20s Chinese women. The subjects were 348 women whose ages were between 19 and 24 to live in Beijing and Shanghai, China. Out of total, 341 women with no abnormal numbers were taken as the sample of research. This study was to characterize lower body type of the Chinese women in their early 20s by classifying them into groups according to drop measurement suggested by GB. This study investigated body types of the Chinese women in their early 20s depending upon regions (Beijing and Shanghai) according to each factor. This study made use of 46 kinds of indirect measures from June 23, 2004 to August 7, 2004. SPSS WIN 13.0 Program was used. And, correlation analysis, factor analysis, ANOVA(t-test and F-test) and duncan's multiple test, etc were done. The average of the early 20s Chinese women's stature is 160.0cm, waist circumference 66.4cm, hip circumference 89.8cm, weight 52.1kg. The result of analysis about the early 20s Chinese women's lower body size which are total 62 items come to 6 factors. The Chinese women in their early 20s were divided into 3 groups depending upon waist circumference and drops of hip circumference.
Objective: This study aimed to analyze somatotype characteristics of the women of 20's, 30's 40's and 50's and thus to provide the basis for developing pants patterns by the age groups. Background: Despite many previous researches for the somatotype characteristics of adult women, few studies have considered age groups. Method: The data of the $5^{th}$ anthropometry by Size Korea were analyzed for the purpose. The 32 direct body measurements and the 32 indexes of 2,213 women aged 20~59 were analyzed. In order to compare somatotype characteristics among the age groups, an ANOVA and a Tukey test were used. Results: The women in 20's were the tallest among the age groups, and had the smallest waist circumference and hip circumference. Their waist breadths were also the narrowest. They had a slim and long body type but their calves were relatively thick. The 30's women were smaller, shorter with the height and length items than the 20's were. They were bigger, wider and deeper with the circumference, breadth and depth items than the 20's were and they were heavier. On the other hand, their hip circumference and crotch length were in the same group as the women in 20's. The crotch length(omphalion) of the 40's women was the longest among all the age groups and the crotch length(natural indentation) of the 40's women was in the same as the women in 50's. The women in 50's were the smallest and heaviest among all the age groups. The difference between their hip circumferences and waist circumferences was the smallest. They had an obese abdomen and sagged hips. Conclusions: The somatotype characteristics of the age groups were significantly different, and thus it is suggested to develop skirt and pants patterns for each age group. Application: The skirt and pants patterns for the somatotype characteristics of the women by age groups will be developed through the body feature data of this study.
Journal of the Korea Fashion and Costume Design Association
/
v.16
no.3
/
pp.201-217
/
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 Korea Fashion and Costume Design Association
/
v.18
no.2
/
pp.15-33
/
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.
In order to improve the problems with obese women's ready-to-wear by age range, this study surveyed the actual clothing purchase and wearing of women in their 20s and 30s with normal and obese body types, and compared and analyzed their satisfaction with ready-to-wear by age and body type. First, for normal body types, both women in their 20s and 30s use department stores the most. Meanwhile, obese women in their 20s make most of their purchases at internet shopping malls, while those in their 30s mostly go to department stores. For criteria for purchasing clothing, normal women both in their 20s and 30s value design most whereas, obese women put size and fit before design regardless of their age. Normal women in their 20s and 30s both were most unsatisfied with standardized design because they could not find designs they wanted. Obese women in their 20s and 30s also showed disapproval of unvaried sizes, indicating a distinct difference in body types and age. As well, the study found that both normal and obese women wear casual style the most, followed by semi-formal style. Also, regarding the images they were seeking when wearing clothing, the normal women wanted to look fashionable, while obese women wanted to look slim, regardless of age. Both body-type groups generally like preferred semi loose-fits the most, followed by tight-fit. They however, dislike relaxed loose-fitting.
In this study, the Korea National Health and Nutrition Examination Survey in 2016 examined the nutrient and food intake of women in their 20s and 30s according to the number of meals a day, and the results were as follows: The study included 256 women in their 20s and 474 women in their 30s. Women in their 20s and 30s ate two meals a day, indicating that the notion of three meals a day was gradually changing to two to three meals a day. Those in their 20s and 30s who eat one, two or three meals a day were consuming less than the estimated energy requirement of the DRI for Koreans 2015. The vitamin A and C were eating less than the recommended intake in all meals. In the case of minerals, calcium was taken less than the recommended intake in all meals, but sodium was taken above the goal intake in all groups. Women in their 20s and 30s must reduce their intake of saturated fatty acids and sodium, and increase their intake of vitamins A, C, calcium, and potassium. Women in their 20s and 30s drank a lot of coffee, ate baechu-kimchi and rice frequently per week.
This study investigated the divorce and post-divorce adjustment of divorced men and women in their 20s and 30s and explored the sex differences. For this empirical analysis, the data was collected from 230 divorced men and women in their 20s and 30s who lived in the Seoul metropolitan area from Sep. 23rd to Oct. 20th, 2002. The questionnaire for the survey dealt with demographic information and other scales. The major findings of the research project were as follows: First, although men and women experienced a similar level of pre-divorce conflicts, women were more likely to want to divorce. Second, although women had worse physical and psychological condition and more difficult problems than men after divorce, women more readily accepted their divorce reality than men. Divorce was not the best but the second best way to escape from a bad marriage for women. The results of the current research are expected to contribute to the pre-marital preparation and divorce adjustment programs.
It has been 20 years since the gender quota system for expanding women's political representation was enacted. However, the proportion of Korean women's representatives has not exceeded 20 percent. This study examines how the gender quota system, public funding for women candidates, and public funding for women's development, which are the three pillars of the legal system to expand women's representation, have changed systematically over the past 20 years, how they affected women's representation, and what institutional limitations they have. In addition, it explores the im/possible conditions of reforms for expanding women's representation. To reform the legal system for women's representation, it is necessary to understand that Korea's political system is arranged in a gender-based way in a male-dominated structure, while also understanding that the existence of critical actors and mass driving reforms for gender equality in politics is essential.
Purpose: The purpose of this study was to examine knowledge, health beliefs and health promoting behavior about osteoporosis in working women in their 20s and 30s. Methods: A survey was conducted among working women in their 20s and 30s who visited the health promotion center of B Medical Center in B Metropolitan City. The data were collected from December 2021 to March 2022 using structured self-reported questionnaires. SPSS/WIN 25.0 program was used to analyze the data. Results: Factors influencing health promoting behavior about osteoporosis in women in their 20s and 30s were in the order of "good" subjective health status (β=.47, p<.001), "moderate" subjective health status (β=.36, p<.001) and knowledge (β=.18, p=.015). These factors explained 12.4% of health promoting behaviors about osteoporosis. Conclusion: The results indicate the need to develop and implement healthcare programs that can improve the health status and provide knowledge to improve health promoting behavior about osteoporosis in women in their 20s and 30s.
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