• 한국컴퓨터정보학회논문지
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• 제27권10호
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• pp.163-173
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• 2022

본 연구에서는 요실금 발생빈도가 높아지는 40대, 50대, 60대 여성을 대상으로 하여 하반신 몸통 체형을 유형화하고 그 특징을 알아보고자 한다. 또, 연령대별 하반신 몸통 체형을 분류해봄으로써 요실금 팬티 패턴 개발에 필요한 기초자료를 얻고자 한다. 본 연구는 국가기술표준원 제8차 인체치수조사데이터 중 40-69세 여성 1543명을 대상으로 하여 하반신 몸통 관련 계측항목 총 29개를 분석하였다. 분석에는 SPSS 26.0 프로그램을 사용하였다. 하반신 몸통 높이 항목은 연령이 증가할수록 낮아지고, 너비 관련 항목은 연령이 증가할수록 넓어지며, 둘레 관련 항목은 허리둘레와 배둘레는 증가하고 엉덩이둘레는 작아지는 것으로 분석되었다. 몸통길이는 연령이 증가할수록 감소하였다. 하반신 몸통 구성 요인은 하반신 몸통 수평 요인, 높이 요인, 하부 요인, 수직 요인으로 분류되었다. 하반신 몸통 유형은 긴 역삼각 체형, 짧고 높은 몸통 체형, 몸통 비만 체형, 낮은 삼각 체형으로 분류되었다. 하반신 몸통 수평 요인과 높이 요인은 유형 3이 가장 크고, 하반신 몸통 수직 요인과 하부 요인은 유형 1이 가장 큰 것으로 분석되었다. 하반신 몸통은 허리와 복부가 발달된 유형과 엉덩이, 넙다리가 발달된 유형으로 분류되어 요실금 팬티의 가로 부위 설정 시 체형 차이의 반영이 요구되었다. 또, 몸통이 긴 유형과 짧은 유형으로 분류되어 앞중심과 뒷중심길이 차이를 반영할 수 있는 제도법이 필요하였다.

• 대한지역사회영양학회:학술대회논문집
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• 대한지역사회영양학회 2005년도 10th Anniversary International Symposium
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• pp.71-71
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• 2005

• 대한인간공학회지
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• 제17권1호
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• pp.103-114
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• 1998

This study was carried out on 132 obese women who satisfied both of the conditions for the obesity: over 1.6 in Rohrer index and over 90cm in bust girth. The purpose of the study was to classify the body types of the obese women and find out their respective characteristics. The characteristics of the body shape were as follows. The one was that the height of the front waist was higher than that of the back waist. The other was that the depth of the front abdomen was high, which implies the protruding of the abdominal region. Five factors were extracted as the result of the factor analysis. Body types were classified 4 types(type 1 : long upper torso, type 2 : obese torso, type 3 : short and less upper torso, type 4 : obese arms and legs) according to the cluster analysis.

• 한국의류학회지
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• 제32권4호
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• pp.618-629
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• 2008

The objectives of this study were to classify body types of 40s, 50s, 60s obese women according to body measurements and to investigate relationships between age and body types of obese women. Body measurement was made on 497 obese women in their 40s, 50s, 60s whose BMI (Body Mass Index) was 25.0 or more when directly measured in 'Size Korea 2004'. Data were analyzed through factor analysis, cluster analysis, Pearson's correlation coefficient, $X^2$-test, t-test, one-way analysis of variance, and Duncan's multiple range test. First. the obesity group with BMI being 25.0-30.0 was composed of 23.1% subjects in their 40s, 43.3% subjects in their 50s, and 50.0% subjects in their 60th, which demonstrates that the older subjects were, the higher the distribution was. Adding the high obesity group with BMI being more than 30.0 to the obesity group, women in their 60s were 56.7%, the most of obese bodies. Second, factor analysis of obese women's BMIs revealed that five factors were elicited, including upper-body circumference related factor, height related factor, lower-body circumference related factor, upper-body width related factor, and upper-body related factor. As a result of analyzing the clusters, three types of body shapes were classified including upper-lower obesity, upper obesity, and lower obesity. Third, obese women were thicker or wider than non-obese individuals in those factors including upper-body circumference, lower-body circumference, and body width, and longer in upper-body length, while non-obese individuals were higher or longer than obese individuals in height related factors.

• 복식문화연구
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• 제19권6호
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• pp.1150-1162
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• 2011

Considering the fact that the fit for men's clothes is important for the sizing system modern ready-made pants, an analysis of obese middle-aged men is required at this period of time to determine the appropriate fit for obese men. The following research focused on 635 middle-aged obese men who had a BMI index of at least 25 and a waist circumference from the belly-button level of 34 inches or more. This research deals with the articles of circumference, thickness and other major physical changes that happen during the 30s, 40s, and 50s. According to the analysis of these body measurement articles with specific regard to age, men's height and the height of their waist seemed to decrease as their age increased. This demonstrates that as these men grow older, the waist and stomach slowly curved into a circular and flat body type due to their obesity. In this study, the first factor figure was the height and leg length. The second factor figure was the waist form. The third factor figure was the center thigh circumference. The fourth and fifth factor figures were the hip length and shape. Lastly, the sixth factor figure was the calf circumference. These 6 factor figures construct 80.57% of the volume explanation and showed 3 patterns through a cluster analysis that showed different patterns of obesity forms for waist circumferences in key figure 1, waist and thigh circumferences in key figure 2, and waist and buttocks circumferences. Therefore, it was worthwhile to consider the circumferences of the waist, buttocks and thigh according to the body type category to enhance the drafting of well-fitting pants.

• 대한간호학회지
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• 제36권5호
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• pp.837-844
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• 2006

Purpose: This study was done to identify fat distribution and blood pressure according to anthropometric change patterns between NIDDM patients and control subjects. Methods: Cross-sectionally 167 NIDDM patients and 87 controls were studied. Previous maximal body weight and acute weight loss was obtained. Current height, body weight, BMI, waist-hip ratio(WHR), skinfold thicknesses(abdomen, subscapular & triceps), and blood pressure was measured. Three anthropometric change patterns were categorized by BMI changes from the maximum lifetim's BMI to the current time (obese-obese, obese-nonobese and nonobese-nonobese: obese: BMI$\geq$25kg/m$^2$, nonobese: BMI<25kg/m$^2$). The data was analyzed by $X^2$, t-test, age adjusted ANCOVA and Least Squares Means(LSM) for multiple comparison. Result: Acute body weight loss(p=0.01), anthropometric change types (p=0.001), WHR (p=0.05), and skinfold thickness (p=0.002) of NIDDM were significantly higher than those of the controls. The mean arterial pressure, WHR and skinfold thicknesses were greater in both obese-obese and obese-nonobese NIDDM and control subjects compared with both nonobese-nonobese NIDDM and control subjects. (all p's<0.05). Conclusion: NIDDM patients had more central and upper body adiposicity. Also both obese-obese and obese-nonobese NIDDM and control subjects had higher mean arterial pressures and central body obesity.

• 대한지역사회영양학회지
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• 제21권6호
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• pp.545-557
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• 2016

Objectives: This study was performed to compare the diet quality and diversity according to types of obesity categorized by body mass index and waist circumference among Korean adults aged 19-64 years. Methods: This study used the data of the 5th Korea National Health and Nutrition Examination Survey (KNHANES-V) and included 11,081 study participants. Type of obesity was categorized into 4 groups (Type 1: BMI obesity + abdominal obesity; Type 2: BMI obesity only; Type 3: abdominal obesity only; Type 4: Normal). To compare the diet quality and diversity according to obesity type, ANCOVA (Analysis of covariance) was used with stratification of age groups (19-44 years, 45-64 years). Results: With regard to comparative analysis of diet quality, there were significant differences between diet qualities in energy, protein, thiamin, riboflavin, niacin, phosphorous and iron and type of obesity in the 19-44 age group, while there were significant differences between diet qualities on protein, vitamin C, phosphorous and type of obesity in the 45-64 age group. There was no significant difference between diet diversity score and type of obesity in Korean adults. Conclusions: This study showed that in Korean adults, diet qualities of some nutrients were different among obesity types, while diet diversity was not. These observations should be considered in an effort to improve intake of over-and deficient nutrients and in further studies to evaluate the effects of nutrient quality on obesity.

• 한국산학기술학회논문지
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• 제19권6호
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• pp.324-333
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• 2018

본 연구의 목적은 만성질환인 고혈압, 이상지질혈증, 관절염, 갑상선 질환, 우울증, 아토피, 알레르기, 당뇨병 등의 잠재계층이 어떻게 구성되어 있는지와 유형화된 만성질환의 예측요인을 살펴보고자 하는 것이다. 연구대상은 2014년 국민건강영양조사에 참여한 대한민국 국민으로, 표본추출방법은 층화집락표본추출방법을 사용하였으며 표본 수는 총 7,550명이고, 이를 대상으로 잠재계층분석을 적용하였다. 결과적으로 1 class 유형은 고혈압, 당뇨 그룹으로 고혈압을 앓고 있을 확률이 78.6%이고 당뇨병을 앓고 있을 확률이 34.6%이었다. 2 class 유형은 아토피, 알레르기 그룹으로 아토피를 앓고 있을 확률이 20.3%이고 알레르기를 앓고 있을 확률이 42.2%이었다. 3 class 유형은 이상지질, 관절염, 갑상선질환, 우울증 그룹으로 이상지질 56.1%, 관절염 50.9%, 갑상선 질환 19.4%, 우울증 28.75%로 나타날 확률을 지닌 집단이었다. 4 class 유형은 만성질환을 갖고 있지 않은 정상집단으로 나타났다. 준거변수인 4 class와 1 class를 비교하였을 때, 연령, 운동능력, 자기관리, 비만, 고콜레스테롤 유병여부 등이 유의하게 나타났고, 2 class와 비교하였을 때, 성별, 연령, 교육수준 등이 유의하게 나타났으며, 3 class와 비교하였을 때, 성별, 연령, 통증 및 불편, 고 콜레스테롤 등이 유의하게 나타났다. 결과적으로 세 유형 모두 연령은 복합적인 만성질환을 일으킬 수 있는 요인으로 나타났는데, 이는 질환을 일으킬 수 있는 결정적인 시기가 오기 전에 예방이 중요하다는 것을 의미한다. 따라서 연령에 따른 질병의 유병율 발생 시기를 파악하여 이에 적절한 예방적 노력이 필요하다.

• 한국컴퓨터정보학회논문지
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• 제25권10호
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• pp.103-113
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• 2020

본 연구는 사이즈코리아의 제7차 인체치수조사 자료 중 16-18세 고등학교 남학생 데이터를 사용하여 맞음새가 우수한 교복 셔츠를 개발하기 위하여 상반신 관련 치수를 분석하여 상반신 체형을 분류하고 체형유형별 특성을 파악하고자 하였다. 이를 통해 교복셔츠 개발에 필요한 기초자료를 얻고자 하였다. 자료분석에는 SPSS Ver. 26.0 프로그램을 사용하였다. 고등학교 남학생은 높이항목은 연령별로 유의미한 차이가 없었으나 너비, 두께, 길이, 둘레, 어깨경사각, 몸무게 항목에서는 연령별로 유의미한 차이가 나타났다. 상반신 체형은 어깨길이가 길고 상반신 둘레와 너비가 작은 '긴 어깨 마른 체형', 상반신길이가 길고 상반신 둘레와 너비가 큰 '긴 상체 비만 체형', 어깨길이가 짧고 상반신 두께와 너비가 중간인 짧은 어깨 보통 체형, 어깨길이가 길고 둘레와 너비는 중간 정도인 '긴 어깨 보통 체형' 등 4개로 유형화되었다. 본 연구를 통해 추출된 사이즈 자료를 바탕으로 패턴 개발 및 사이즈 체계 구축을 통해 실질적인 맞음새가 우수한 교복 셔츠 개발이 필요할 것으로 생각된다.

• 대한한의학회지
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• 제25권1호
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• pp.172-187
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• 2004

Objectives : To characterize four types of obesity and to effectively improve the treatment of obesity through Oriental medicine Methods : At 00 Oriental Medical Center, 203 female subjects who intented to lose weight were requested to complete a questionnaire. These participants were also given physical tests. The Questionnaire consisted of questions both about general life style and obesity in oriental medicine framework. The physical tests were blood tests, a body composition via Inbody 2.0, and physical strength tests. One-way analysis of variance was done to compare the means of items and physical tests between four types of obesity. Duncan was used by post hoc test. Results : 1. Significant differences between obesity type III and obesity type IV in ever tried to lose weight, childhood obesity and excercise times were observed in the questionnaire of general life style(p<0.05). 2. Ducan test showed significant differences between four obesity types in diseases (p<0.05). 3. Significant differences between four obesity types in height, % body fat muscular endurance, soft lean mass, fat mass, Trigliceride, Total cholesterol and ${\gamma}-GTP$ were observed (p<0.05). Conclusions : Further clinical research is necessary in the four types of obesity explored. The diagnosis and treatment based on these types should be further studied.