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Regression Models Predicting Trunk Muscles' PCSAs of Korean People

요추 부위 인체역학 모델을 위한 한국인 몸통 근육의 생리학적 단면적 추정 회귀 모델

  • Kim, Ji-Hyun (Department of Health Care, Wonju Christian Hospital) ;
  • Song, Young-Woong (Department of Occupational Health, Catholic University of Daegu)
  • 김지현 (원주기독병원 건강관리과) ;
  • 송영웅 (대구가톨릭대학교 산업보건과)
  • Published : 2008.06.01

Abstract

This study quantified 7 trunk muscles' physiological cross-sectional areas (PCSAs) and developed prediction equations for the physiological cross-sectional area as a function of anthropometic variables for Korean people. Nine females and nine males were participated in the magnetic resonance imaging (MRI) scans approximately from S1 through T8. Muscle fiber angle corrected cross-sectional areas (anatomical cross sectional areas: ACSAs) were recorded at each vertebral level and maximum value of ACSAs were determined as physiological cross sectional area (PCSA). There was a significant gender difference in PCSAs of all muscles (p<0.05). Stepwise linear regression techniques using anthropometric measures (e.g., height, weight, trunk depths and widths) as independent variables were conducted to develop prediction equations for the PCSA for each muscle. For males, six muscles' significant prediction equations (p<0.05) were developed except quadratus lumborum. For females, three prediction equations were developed for psoas, quadratus lumborum, and erector spinae muscles (p<0.05).

Keywords

References

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