지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2014.1
- 수록면
- 13 - 21 (9page)
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초록· 키워드
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This study investigated the anthropometric characteristics of US women 26 to 45 years of age to classify their body shapes into different categories. Research data was obtained from 2950 women 26 to 45 years of age who participated in the SizeUSA study. A 26 to 35 years of age group and a 36 to 45 years of age group were selected from the data pool. A total of 26 measurements important for body shape classification and for apparel product development was used for the data analysis. Five factors accounted for the US women's body measurements. The body shapes of women were categorized into 4 types: Obese A-Shape, Overweight Y-Shape, Obese H-Shape, and Normal S-Shape. Normal S-Shape was the most common body shape type. More women in the 26 to 35 years of age group had Normal S-Shape type than women in the 36 to 45 years of age group. More women in the 36 to 45 years of age group had Obese A-Shape, Overweight Y-Shape, and Obese H-Shape than women in the 26 to 35 years of age group. Younger US women, 26 to 35 years of age had slimmer body sizes with more balanced body shapes; however, older US women, 36 to 45 years of age had larger body sizes with more various body shapes.
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참고문헌 (16)
참고문헌 신청
Alexander, M / 2012 / Investigating women’s plus-size body measurements and hip shape variation based on SizeUSA data. International Journal of Fashion Design / Technology and Education 5(1):3~12
Center for Disease Control and Prevention / Body mass index
Chung, M.-S / 2001 / Classifi cation of sizing system for women’s lower clothes according to body type and age group / Journal of the Korean Society of Clothing and Textiles 25(4):743~753
Clark, E / 2006 / Neiman’s goes raw with cusp format / Women’s Wear Daily :3
Devarajan, P / 2004 / Validation of female figure identifi cation technique (FFIT) for apparel software / Technology and Management 4(1):1~23
Center for Disease Control and Prevention / Body mass index
Chung, M.-S / 2001 / Classifi cation of sizing system for women’s lower clothes according to body type and age group / Journal of the Korean Society of Clothing and Textiles 25(4):743~753
Clark, E / 2006 / Neiman’s goes raw with cusp format / Women’s Wear Daily :3
Devarajan, P / 2004 / Validation of female figure identifi cation technique (FFIT) for apparel software / Technology and Management 4(1):1~23
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