• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.1
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• pp.80-88
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• 1998

To classify the bodytype at sight of front line of the body, 20 to 59 year-old 484 females were examined. 73 photographic and 16 anthropometric measurements were taken to each subject. The indices were used to obtain the shape factor of the bodytype. The principal component analysis was performed to obtain the shape factor of the front line of body and 6 factors were abstracted. The factor score was better than the measurements as the independent variable in applying the cluster analysis to classify the shape. As the result of the cluster analysis, the shape of the body at sight of the front line was classified in 4 types. It was named X, Y, A, H type. Considering the sizes, Y type was obese and H type was lean characteristically.

• Journal of Fashion Business
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• v.15 no.6
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• pp.148-162
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• 2011

The purpose of this study is to analyze lower body types of women and provide information of body improvement of Korean adult female clothing product to ready-made clothes companies. As for the method of this study, it was conducted to measure the parts of the lower body of adult women at the age from 19 to 24 years, to analyze their characteristics and to categorize body types. For study, it was measured 150 female women in Seoul. Data was analyzed by used SPSS/WIN 19.0 Program. The results of this study are as follows. The means of the subjects in their early 20s are 159.8cm in height, 67.0cm in waist circumference, 91.6cm in hip and 52.0kg in weight. As a result of comparison with the $5^{th}$ Korean's human body size on measurement data, 20 items out of 33 items showed significant difference. Factor analysis was executed for 66 body measure and calculation items to draw the body construction factors of the women's lower body in their early 20s and principal component analysis was performed by orthogonal varimax rotation to clarify the measurement of factors and to derive explanatory factors. As result of Cluster analysis, body types' characteristics divide into 3 types. Type1 has tall and fat body form, type2 has shortest and curvy body form and type3 has average height and the most skinny body form.

• Journal of the Korean Society of Costume
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• v.45
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• pp.71-84
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• 1999

This study was to identify the dimensions of consumer's purchasing motives and purchasing delay reasons toward casual hanbok. Other objective was to examine relationship between these variables and future purchasing intention. Th 22 purchasing motive questions and 19 purchasing delay reasons were selected through the result of self-questionnaire analysis. 302 purchaser and 297 consumers who delay for particular reasons in Pusan responsed to the second questionnaire of purchasing motives and purchasing delay reasons toward casual Hanbok. The results as follows: 1. For factor analysis 22 purchasing motive questions were subjected to the principle component analysis with orthogonal rotation after extraction of 6 major factors. Six dimensions are consciousness of nation goodness of design conformity with fashion charming apperance relaxation fo body and mind nation goodness of design conformity with fashion charming appearance relaxation of body and mind and pursuit of individuality. These factors explained 62.0% of total variables. 2. Consumer's purchasing motives such as consciousness of nation goodness of design charming appearance and relaxation of body and mind has predicting power to the re-purchasing intention of casual hanbok 3. For factor analysis 19 delay reason question were subjected to the principle component analysis with orthogonal rotation after extraction of 5 major factors. Five dimensions are non-fitness for occasion and body shape unsatisfaction with design unsatisfaction with price need of information search for better product and preference for traditional hangok. These factors explained 60.4% of total variables. 4. Delay reasons of unsatisfaction with design and price were positively related to the future purchasing intention. This delay reason is caused by forces external to the consumer and the consumer has engaged in information search. This result explained this type of consumer has the strong future purchasing intention.

• Journal of Acupuncture Research
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• v.19 no.2
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• pp.128-136
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• 2002

Objective : The purpose of this study was to evaluate water distribution differences of the right and left low limb in patients who had low back pain with sciatica or not. Methods : Water distribution differences of the right and left low limb by body composition(INBODY 2.0, Biospace, seoul, korea) were analysed in the views of groups(low back pain with and without sciatica) and duration of disease. Results : 1. In the case of low back pain patient, there was no significance in variance of water distribution of the right and left lower limbs regardless of suffering period, but significance difference in patients that have suffered low back pain with one side sciatica showed according to suffering period. 2. Within 2 weeks, there was no significant deflection between low back pain with and without sciatica in water distribution of the right and left lower limbs, More than 2 weeks significant deflection showed. Conclusion : Loss of lower limb's muscle that ensue in contracting a disease period was observed in Low Back Pain with Sciatica. The continuos studies about pathological change of lower limb in low back pain have to be perfomed.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.10
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• pp.1443-1454
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• 2002

The purposes of this study were to classify body type of adult males into several kind of shape and to provide the characteristics of size of each group which has same shape. As the sample, subjects were 1290 males of 20 to 54 year-old. The procedure and results were follows; 1. As the result of the previous reserch, the front line of body was classified in X, H, Y and A types. 2. The principal component analysis was used to obtain the shape factor of the side line of the trunk. 9 factors in the side were extracted. As the result of the cluster analysis of factor scores, the side line of body was classified in 5 types. It was named X, A, Y and H type in the front and S, D1, d, I and D2 type in the side. 3. In order to consider the shape of body as a whole, the body shape of the front and side were compounded. The whole body shapes of adult male were very various, and 6 body shapes, XS, YS, Yd, YI, AD2 and HD1 were selected as the basic types. In each type of body, several groups were classified by size factor, height and chest girth and master size was selected considering appearance frequency.

• Journal of Oriental Neuropsychiatry
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• v.23 no.3
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• pp.47-62
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• 2012

Objectives : This study is to figure the relations of the heart rate variability, body component analysis and accompanying symptoms of 350 insomnia patients. Methods : For this study we evaluated Heart Rate Variability(HRV) and body component analysis on 350 insomnia patients who visited Dongeui oriental hospital of Dongeui university from January 2008 to March 2012. The accompanying symptoms was collected based on each patient's progress note. Results : 1. There was no difference between PR, LF and VLF of male and female groups. HF was higher in the patients' of female group and LF/HF ratio was higher in the male group. The patients' group of age under 39 had higher HF, LF, VLF and LF/HF ratio than the group over 39. 2. The average of LF was the smallest, and the average of VLF was in the middle, while the average of HF was the largest. 3. Regarding patients' age and gender, as the patients' age increased, their HF, LF, VLF and LF/HF ratio decreased significantly. HF, LF, VLF, and LF/HF ratios were, however, independent on the patients' gender. As the patients' age increased, their BMI increased, while the patients' gender did not affect on their BMI. The amount of visceral fat increased with the patients' age, but wasn't dependent on the patients' gender. 4. As the patients' BMI increased, PR and LF decreased. As the patients' amount of visceral fat increased, PR, HF, LF and VLF decreased. 5. The most frequent accompanying symptoms of the insomnia patients was headache. Neither HF nor LF/HF ratio was dependant on any of the accompanying symptoms. Patients with anxiety showed significantly higher LF than those without anxiety. Patients with fatigue and physical pain showed significantly higher VLF than those without either of them. Conclusions : The study showed that as the insomnia patients age increased, the HF, LF, VLF, LF/HF ratio significantly decreased, but the BMI and visceral fat increased. The HF, LF, VLF, LF/HF ratio BMI, or the visceral fat was independent on the gender. As BMI increased, PR and LF decreased. As visceral fat increased, PR HF, LF and VLF decreased. Patients presenting anxiety had higher LF. Patients either with fatigue or physical pain had higher VLF. Neither HF nor LF/HF ratio had any significant correlation with any of the accompanying symptoms.

• Journal of the Korean Home Economics Association
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• v.36 no.12
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• pp.43-54
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• 1998

From the viewpoint of clothing construction, it is necessary to grasp exactly the shapes of the neck and the shouder, such as the line of the neck base, the neck gradient, the shoulder gradient, the shape of the scapular, and the shape of the breast. In this report, factor analysis was applied to 39 items of neck & shoulder level measurements, including stature, weight, but grith, waist girth, to demonstrate the most relevant measurements for collar and bodice pattern designing, and to classify the neck and shoulder level shapes. The subjects investigated were 126 women of the age 20-29. The main results are follows : 1. For factors of body form were extracted by the factor analysis. The 1st principal component can be interpreted as "size" component, the 2nd-3th principal component is "shape" component relating to neck and shoulder level, and the 4th principal component is "shoulder shape" component. 2. With regard to factor loadings, we were able to extract the most relevant measurements for collar and bodice pattern designing. M16, M22, S26, S30, S34, S35, S36, C37, C38, C39.

• Journal of Preventive Medicine and Public Health
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• v.24 no.3 s.35
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• pp.373-389
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• 1991

In order to develop the measuring tool of VDT syndrome and investigate the variables affecting the development of VDT syndrome, a questionnaire study accompanied with the evaluation of working environment was performed with 138 VDT users from six public organs in Kwangju area. The results were summarized as follows. 1. As a result of analysis with data collected by newly developed questionnaire, VDT syndrome included five factors named as eye-related component, psychological component, general body component, musculoskeletal component, and skin-related component and the estimates of the internal consistency of five factors were 0.877, 0.820, 0.796, 0.791, 0.593 respectively. 2. Variables affecting the level of eye-related symptoms were the type of main b using VDT, the total time of VDT operation per day, and the use of external filter on CRT. 3. The level of eye-related symptoms in the group using external filter was higher significantly than that in the group not using filter. 4. The past history of severe illness affected the level of psychological symptoms significantly. 5. Variables affecting the level of general body symptoms were b satisfaction and income satisfaction. 6. Variables affecting the level of musculoskeletal symptoms were the type of main job using VDT, whether majored in EDPS, the level of typewriting, b satisfaction, and the total time of VDT operation per day. 7. Age and the use of external filter were significantly related to the level of skin-related symptoms.

• Journal of Community Nutrition
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• v.6 no.3
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• pp.121-124
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• 2004

Objective : The paper aims to provide predictive coefficients via BIA for the assessment of body composition in children and adolescents to serve clinical as well as research purposes. Methods : Body composition via dual-energy x­ray absorptiometry (DXA) and bioelectric impedance as well as other anthropometric index were derived from meaurements on 1026 children and adolescents aged from 6 to 18 years from Beijing City. The best subset regression and principle component analysis were adopted to build the predictive coefficients with the logarithm of body composition via DXA as response variable. Results : Condition index ${\varphi}$ of fat-free mass multiple linear regression achieves 113.49 and 91.18 for males and females respectively, demonstrating severe multicollinearity among anthropometric indexes in children and adolescents. BIA predictive coefficients base on the best subset regression and principle component analysis boast a content predictive value for lean mass ($r^2$ = 0.9697 and 0.9664 for boys and girls respectively, p < 0.0001) and for Fat$\%$ ($r^2$ = 0.7705 and 0.6959 for boys and girls respectively, p < 0.0001). Conclusions : BIA method is applicable for the prediction of body composition for children and adolescents.

• Asian-Australasian Journal of Animal Sciences
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• v.24 no.4
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• pp.449-456
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• 2011

Eighteen different biometric traits in 407 Kankrej cows from their breeding zone, i.e. Palanpur district of Gujarat, India, were recorded and analyzed by factor analysis to explain body conformation. The averages of body length, height at withers, height at shoulder, height at knee, heart girth, paunch girth, face length, face width, horn length, horn diameter, distance between horns, ear length, ear width, neck length, neck diameter, tail length with switch, tail length without switch and distance between hip bones were $123.44{\pm}0.37$, $124.49{\pm}0.28$, $94.68{\pm}0.30$, $38.2{\pm}0.14$, $162.56{\pm}0.56$, $178.95{\pm}0.70$, $44.09{\pm}0.10$, $15.91{\pm}0.05$, $42.47{\pm}0.53$, $26.07{\pm}0.19$, $13.34{\pm}0.08$, $31.24{\pm}0.12$, $16.10{\pm}0.05$, $50.63{\pm}0.18$, $73.21{\pm}0.32$, $111.62{\pm}0.53$, $89.34{\pm}0.34$ and $17.28{\pm}0.10\;cm$, respectively. The correlation coefficients between different traits ranged from -0.806 (horn diameter and distance between horns) to 0.815 (heart girth and paunch girth). Most of the correlations were positive and significant. Factor analysis with promax rotation with power 3 revealed three factors which explained about 66.02% of the total variation. Factor 1 described the cow body and explained 38.89% of total variation. The second factor described the front view/face of the cow and explained 19.68% of total variation. The third factor described the back of the cow and explained 7.44% of total variation. It was necessary to include some more variables for factor 3 to obtain a reliable estimate of the back view of the cow. The lower communities shown for distance between horns, horn diameter, ear width and neck diameter indicated that these traits did not contribute effectively to explaining body conformation and can be dropped from recording, whereas all other traits are important and needed to explain body conformation in Kankrej cows. The result suggests that principal component analysis (PCA) could be used in breeding programs with a drastic reduction in the number of biometric traits to be recorded to explain body conformation.