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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2015.1
- 수록면
- 1 - 7 (7page)
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As a measure of health, the percentage of body fat has been utilized for many ergonomist, physician, athletic trainers, and work physiologists. Underwater weighing procedure for measuring the percentage of body fat is popular and accurate. However, it is relatively expensive, difficult to perform and requires large space. Anthropometric techniques can be utilized to predict the percentage of body fat in the field setting because they are easy to implement and require little space. In this concern, the purpose of this study was to find a regression model to easily predict the percentage of body fat using the anthropometric circumference measurements as predictor variables. In this study, the data for 10 anthropometric circumference measurements for 252 men were analyzed. A full model with ten predictor variables was constructed based on subjective knowledge and literature.
The linear regression modeling consists of variable selection and various assumptions regarding the anticipated model. All possible regression models and the assumptions are evaluated using various statistical methods. Based on the evaluation, a reduced model was selected with five predictor variables to predict the percentage of body fat. The model is : % Body Fat = 2.704-0.601 (Neck Circumference) + 0.974 (Abdominal Circumference) -0.332 (Hip Circumference) + 0.409 (Arm Circumference) - 1.618 (Wrist Circumference) + ε. This model can be used to estimate the percentage of body fat using only a tape measure.
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참고문헌 (15)
참고문헌 신청
Bary, G. A. / 1985 / Complications of Obesity / Annals of Internal Medicine 103 : 1052 ~ 1062
Craig, B. N. / 2006 / Personal and non-occupational risk factors and occupational injury/illness / Am J Ind Med 49 (4) : 249 ~ 260
Hamilton, M. A. / 2013 / Effects of BMI and task parameters on joint angles during simulated small parts assembly / International Journal of Industrial Ergonomics 43 (5) : 41
Kerr, M. S. / 2001 / Biomechanical and psychosocial risk factors for low back pain at work / American Journal of Public Health 91 (7) : 1069 ~ 1075
Lohman, T. G. / 1975 / Prediction of Lean Body Weight in Young Boys from Skinfold Thickness and Body Weight / Human Biology 47
Craig, B. N. / 2006 / Personal and non-occupational risk factors and occupational injury/illness / Am J Ind Med 49 (4) : 249 ~ 260
Hamilton, M. A. / 2013 / Effects of BMI and task parameters on joint angles during simulated small parts assembly / International Journal of Industrial Ergonomics 43 (5) : 41
Kerr, M. S. / 2001 / Biomechanical and psychosocial risk factors for low back pain at work / American Journal of Public Health 91 (7) : 1069 ~ 1075
Lohman, T. G. / 1975 / Prediction of Lean Body Weight in Young Boys from Skinfold Thickness and Body Weight / Human Biology 47
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