• The Research Journal of the Costume Culture
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• v.17 no.6
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• pp.1141-1154
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• 2009

As a preliminary research of body characteristics analysis of Korean obese woman, this study aims to select optimal obesity judgment tools for reliable sampling of obese subjects from 2,425 female measurement data out of 2004 Size Korea project's raw data. From previous researches related to obesity, 7 obesity judgment tools were chosen. 2007 obesity rate(26.3%) of Korean female adults was refered in selecting optimal obesity judgment criteria in the study. The results are as follows. Firstly, it was verified that BMI was the most suitable in judging and sampling the obese subjects by the percentile analysis. R$\ddot{o}$hrer index was also reliable in grouping the obese subjects from a population. Secondly, it was concluded that the obesity ratios of relative weight 120 and higher group, R$\ddot{o}$hrer index 1.6 and higher group and waist girth 80cm and higher group were the most similar to obesity rate of Korean female adults by 2007 National Health & Nutrition Survey. Thirdly, 30 direct measurements, age, 2 drop values and 6 ratios of 7 groups by the obesity judgment tools showed the significance each other at p<0.001 level. On the other hand, "bust point to bust point" and "waist to hip length" measurements didn't show the significant differences among 7 groups. Conclusively, 4 to 5 satisfactions out of 7 obesity judgment criteria were adequate and sufficient in sampling the obese subjects. If it is needed the strict criteria for judging the obesity, 5 satisfactions and higher group will be the best choice as the obese subjects. However 4 satisfactions and higher group generally, will be adequate for sampling of the obese subjects.

• The Research Journal of the Costume Culture
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• v.18 no.1
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• pp.93-108
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• 2010

R$\ddot{o}$hrer index, Vervaeck index and Body Mass Index(BMI) are frequently used in order to judge obese subjects in clothing & textiles field. However, there are no certain criteria of judging the degree of obesity. Each researcher utilized these obesity indices according to their own criteria so far. Therefore, the purpose of the study is to suggest a reliable obesity index and new criteria for judging the degree of obesity. The results are as follows; Utilizing frequency analysis, main percentiles, minimums, maximums and ranges were presented by 5 age groups from twenties to sixties. Obesity rates dramatically increased, the subject got older. Especially, obesity rate of the subjects in their fifties and sixties were much higher than other age groups. 1.6 & higher can be used in the R$\ddot{o}$hrer index, 98 & higher can be used in the Vervaeck index, and 25 & higher can be used in the BMI as the Optimal criteria of the obesity. Total of 24 body measurements and 3 obesity indices were used for analyzing the correlation analysis. All heights measurements showed negative correlation with the 3 obesity indices. It is determined heights measurements have high correlation with R$\ddot{o}$hrer index compare to other indices. Crotch height, interscye back, neck shoulder point to breast point, bust circumference, waist circumference, upper arm circumference and armscye circumference have high positive correlation with all obesity indices. According to the ANOVAs by each percentile group of the R$\ddot{o}$hrer and Vervaeck indices, there are big significances in all measurements and obesity indices except arm length. In general, heights decreased significantly by getting bigger, while circumferences and lengths, widths and indices increased rapidly by getting bigger. The results of the analysis by each percentile group in the BMI, it showed the significant differences in the all measurements except cervical height and arm length. There were similar tendency of differences according to the degree of the obesity in BMI percentile groups. It was confirmed that the BMI is the most reliable index for judging the obesity owing to the high correlations and significant differences with other measurements.