TY - JOUR
T1 - Anatomical cross-sectional area of the quadriceps femoris and sit-to-stand test score in middle-aged and elderly population
T2 - Development of a predictive equation
AU - Saito, Akira
AU - Ema, Ryoichi
AU - Inami, Takayuki
AU - Maeo, Sumiaki
AU - Otsuka, Shun
AU - Higuchi, Mitsuru
AU - Shibata, Shigenobu
AU - Kawakami, Yasuo
N1 - Funding Information:
The present study was supported in part by the Council for Science, Technology and Innovation, SIP(Cross-ministerial Strategic Innovation Promotion Program); “Technologies for creating next-generation agriculture, forestry and fisheries”(funding agency: Bio-oriented Technology Research Advancement Institution, NARO), MEXT-Supported Program for the Strategic Research Foundation at Private Universities, 2015-2019 from the Ministry of Education, Culture, Sports, Science and Technology (S1511017), and HealthGrid, Inc. We thank Masaya Nakashima, Mihoshi Yokoo, and Hiromi Funabashi from Shiseido Co. Ltd. for recruiting the participants in the present study.
Publisher Copyright:
© 2016 Saito et al.
PY - 2017
Y1 - 2017
N2 - Background: Although the sit-to-stand (STS) test score has been shown to relate to the strength and size of the quadriceps femoris (QF) for elderly population, it is unknown whether this relationship is influenced by a posture (i.e., the trunk being allowed to stoop or not) during the STS test. The present study investigated the relationship between STS test score and QF anatomical cross-sectional area (ACSA) in the middle-aged and elderly population with regard to the difference in the posture during STS test, and aimed to develop an accurate predicting equation of the QF ACSA from the STS test score. Methods: 105 males (40-81 years) and 113 females (41-79 years) participated in the present study, then the subjects were divided at random as validation and cross-validation groups. Mid-thigh QF ACSA was determined by magnetic resonance imaging. Subjects performed a 10-repeated STS as fast as possible in two conditions: (1) with the trunk being allowed to stoop during the sitting phases, and (2) kept upright throughout the test. A power index of the STS test score was calculated based on an equation obtained in a previous study using the time taken for each test condition, the thigh and shank lengths, and body mass. In the validation group (n = 109), a stepwise multiple linear regression analysis was performed to create a predictive model of the ACSA with sex, age, the STS time, and power for both conditions as independent variables. The formulated predictive equation was examined in the cross-validation group (n = 109). Results: In the validation group, a stepwise regression analysis revealed that STS power with upright trunk condition, sex, and age but not with the stooping condition, were selected as variables to predict QF ACSA (R 2 = 0.64, P < 0.001). There was no systematic error for the relationship between predicted and measured values in the cross-validation group. Conclusions: These results indicate that STS test score with upright trunk condition is one of the indices of QF muscle size of the middle-aged and elderly population. The estimated predicting equation should be useful in clinical and practical settings for the health promotion.
AB - Background: Although the sit-to-stand (STS) test score has been shown to relate to the strength and size of the quadriceps femoris (QF) for elderly population, it is unknown whether this relationship is influenced by a posture (i.e., the trunk being allowed to stoop or not) during the STS test. The present study investigated the relationship between STS test score and QF anatomical cross-sectional area (ACSA) in the middle-aged and elderly population with regard to the difference in the posture during STS test, and aimed to develop an accurate predicting equation of the QF ACSA from the STS test score. Methods: 105 males (40-81 years) and 113 females (41-79 years) participated in the present study, then the subjects were divided at random as validation and cross-validation groups. Mid-thigh QF ACSA was determined by magnetic resonance imaging. Subjects performed a 10-repeated STS as fast as possible in two conditions: (1) with the trunk being allowed to stoop during the sitting phases, and (2) kept upright throughout the test. A power index of the STS test score was calculated based on an equation obtained in a previous study using the time taken for each test condition, the thigh and shank lengths, and body mass. In the validation group (n = 109), a stepwise multiple linear regression analysis was performed to create a predictive model of the ACSA with sex, age, the STS time, and power for both conditions as independent variables. The formulated predictive equation was examined in the cross-validation group (n = 109). Results: In the validation group, a stepwise regression analysis revealed that STS power with upright trunk condition, sex, and age but not with the stooping condition, were selected as variables to predict QF ACSA (R 2 = 0.64, P < 0.001). There was no systematic error for the relationship between predicted and measured values in the cross-validation group. Conclusions: These results indicate that STS test score with upright trunk condition is one of the indices of QF muscle size of the middle-aged and elderly population. The estimated predicting equation should be useful in clinical and practical settings for the health promotion.
KW - Aging
KW - Magnetic resonance imaging
KW - Multiple regression analysis
KW - Muscle size
KW - Trunk motion
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U2 - 10.1186/s40101-016-0099-1
DO - 10.1186/s40101-016-0099-1
M3 - Article
C2 - 27405228
AN - SCOPUS:85021851253
SN - 1880-6791
VL - 36
JO - Journal of Physiological Anthropology
JF - Journal of Physiological Anthropology
IS - 1
M1 - 3
ER -
