지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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초록· 키워드
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The purpose of this investigation was to develop four regression equations to predict 1-RM chest press strength (CPS), lat pulldown strength (LPS), leg extension strength (LES), leg curl strength (LCS) from a 7-10 RM CPS, LPS, LES, and LCS test in twenties females. Thirty-two healthy adult females were tested for 1-RM and 7-10 RM strength. The order of testing was counterbalanced to minimize the effect of improved technique. Simple regression analysis produced the following equation to predict 1-RM CPS from submaximal CPS testing: [1-RM(kg) = 1.38 + (1.19*CPS)]. Regression analysis also produced the following equation to predict 1-RM LPS from submaximal LPS testing: [1-RM(kg) = 4.55 + (1.14*LPS)]. Regression analysis also produced the following equation to predict 1-RM LES from submaximal LES testing: [1-RM(kg) = 7.63 + (1.12*LES)]. Regression analysis also produced the following equation to predict 1-RM LCS from submaximal LCS testing: [1-RM(kg) = 2.98 + (1.17*LCS)]. The results of this study indicate that 1-RM CPS, LPS, LES, and LCS may be predicted with an acceptable degree of accuracy in untrained female subjects.
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