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      KCI우수등재

      측정평가 : 체밀도 추정공식의 차이가 체지방추정 결과에 미치는 영향 = Effect of Body Density Equation on Estimated Relative Body Fat

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      https://www.riss.kr/link?id=A106548308

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      다국어 초록 (Multilingual Abstract)

      The purpose of this study was to examine influences of estimated body density equations on the results of relative body fat. For this purpose, we used an computer analysis method called Monte Card computer simulation and 65 body density equations were collected. Among these equations, we used only 45 equations which are reported SEE and one of the data(subject C) which bad full profile which takes 29 region anthropometry measurement. For the raw data, Monte Carol computer simulation procedure attends to create 46,000 pseudo data by using 100 random variables which repeated 10 times from 45 equations. Random sampling is performed 10 times from these data which were categorized according to gender, age, race, professional-sports experience, and caliper.
      The result has it that the range of Relative body fat from different equations on a single person was about 16%-37%. In conclusion, the most influential variable was age, the second was gender, the third was ethnic and the next was caliper. But this study figure out that the experience of athlete has no influence on these equations. For the following studies using Montecarol computer simulation, we suggest the data for the analysis include extended peculation of data
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      The purpose of this study was to examine influences of estimated body density equations on the results of relative body fat. For this purpose, we used an computer analysis method called Monte Card computer simulation and 65 body density equations were...

      The purpose of this study was to examine influences of estimated body density equations on the results of relative body fat. For this purpose, we used an computer analysis method called Monte Card computer simulation and 65 body density equations were collected. Among these equations, we used only 45 equations which are reported SEE and one of the data(subject C) which bad full profile which takes 29 region anthropometry measurement. For the raw data, Monte Carol computer simulation procedure attends to create 46,000 pseudo data by using 100 random variables which repeated 10 times from 45 equations. Random sampling is performed 10 times from these data which were categorized according to gender, age, race, professional-sports experience, and caliper.
      The result has it that the range of Relative body fat from different equations on a single person was about 16%-37%. In conclusion, the most influential variable was age, the second was gender, the third was ethnic and the next was caliper. But this study figure out that the experience of athlete has no influence on these equations. For the following studies using Montecarol computer simulation, we suggest the data for the analysis include extended peculation of data

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2022 평가예정 계속평가 신청대상 (등재유지)
      2017-01-01 평가 우수등재학술지 선정 (계속평가)
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2003-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2002-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2001-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.34 1.34 1.4
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      1.44 1.45 1.24 0.33
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