The Experts below are selected from a list of 65220 Experts worldwide ranked by ideXlab platform
Hiroaki Kanehisa - One of the best experts on this subject based on the ideXlab platform.
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Validity of muscle thickness-based Prediction Equation for quadriceps femoris volume in middle-aged and older men and women
European Journal of Applied Physiology, 2016Co-Authors: Miyuki Nakatani, Yohei Takai, Ryota Akagi, Taku Wakahara, Norihide Sugisaki, Megumi Ohta, Yasuo Kawakami, Tetsuo Fukunaga, Hiroaki KanehisaAbstract:Background This study examined the validity of muscle thickness (MT)-based Prediction Equation for the muscle volume of the quadriceps femoris (QFMV) by evaluating the applicability of a Prediction Equation previously derived from young men and by developing a new Prediction Equation in middle-aged and older individuals.
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Validity of muscle thickness-based Prediction Equation for quadriceps femoris volume in middle-aged and older men and women.
European journal of applied physiology, 2016Co-Authors: Miyuki Nakatani, Yohei Takai, Ryota Akagi, Taku Wakahara, Norihide Sugisaki, Megumi Ohta, Yasuo Kawakami, Tetsuo Fukunaga, Hiroaki KanehisaAbstract:This study examined the validity of muscle thickness (MT)-based Prediction Equation for the muscle volume of the quadriceps femoris (QFMV) by evaluating the applicability of a Prediction Equation previously derived from young men and by developing a new Prediction Equation in middle-aged and older individuals. The MT at the midpoint of the thigh anterior and QFMV were determined using ultrasonography and magnetic resonance imaging in 30 men and 30 women aged 51 to 77 years. First, we examined the validity of the MT-based Prediction Equation previously developed for young men to estimate the QFMV of middle-aged and older individuals. Second, we allocated the subjects to validation or cross-validation group and developed a Prediction Equation for estimating the QFMV using a stepwise multiple regression analysis. The published Equation generated a small but a significant difference between the measured and estimated QFMV, with a systematic error depending on the size of QFMV. A multiple regression analysis for the validation group produced the following Equation: QFMV (cm3) = (sex × 267.7) + (MT × 249.3) + (thigh length × 41.1) - 1663.7 (sex: man = 1, woman = 0). R 2 and SEE of the regression Equation were 0.888 and 124.4 cm3 (12.0 %), respectively. The developed Equation was validated and cross-validated. For middle-aged and older individuals, the Prediction Equation previously derived from young men is not applicable, and the newly developed Prediction Equation with sex, MT, and thigh length as independent variables is applicable for estimating QFMV.
Peter Davies - One of the best experts on this subject based on the ideXlab platform.
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assessment of body composition in sri lankan children validation of a bioelectrical impedance Prediction Equation
European Journal of Clinical Nutrition, 2008Co-Authors: V P Wickramasinghe, S P Lamabadusuriya, G J Cleghorn, Peter DaviesAbstract:To develop bioelectrical impedance analysis (BIA) Equations to predict total body water (TBW) and fat-free mass (FFM) of Sri Lankan children. Data were collected from 5- to 15-year-old healthy children. They were randomly assigned to validation (M/F: 105/83) and cross-validation (M/F: 53/41) groups. Height, weight and BIA were measured. TBW was assessed using isotope dilution method (D2O). Multiple regression analysis was used to develop preliminary Equations and cross-validated on an independent group. Final Prediction Equation was constructed combining the two groups and validated by PRESS (Prediction of sum of squares) statistics. Impedance index (height2/impedance; cm2/Ω), weight and sex code (male=1; female=0) were used as variables. Independent variables of the final Prediction Equation for TBW were able to predict 86.3% of variance with root means-squared error (RMSE) of 2.1 l. PRESS statistics was 2.1 l with press residuals of 1.2 l. Independent variables were able to predict 86.9% of variance of FFM with RMSE of 2.7 kg. PRESS statistics was 2.8 kg with press residuals of 1.4 kg. Bland Altman technique showed that the majority of the residuals were within mean bias±1.96 s.d. Results of this study provide BIA Equation for the Prediction of TBW and FFM in Sri Lankan children. To the best of our knowledge there are no published BIA Prediction Equations validated on South Asian populations. Results of this study need to be affirmed by more studies on other closely related populations by using multi-component body composition assessment.
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assessment of body composition in sri lankan children validation of a bioelectrical impedance Prediction Equation
Faculty of Health; Institute of Health and Biomedical Innovation, 2008Co-Authors: V P Wickramasinghe, S P Lamabadusuriya, G J Cleghorn, Peter DaviesAbstract:Objective: To develop bioelectrical impedance analysis (BIA) Equations to predict total body water (TBW) and fat-free mass (FFM) of Sri Lankan children. Subjects/Methods: Data were collected from 5- to 15-year-old healthy children. They were randomly assigned to validation (M/F: 105/83) and cross-validation (M/F: 53/41) groups. Height, weight and BIA were measured. TBW was assessed using isotope dilution method (D2 O). Multiple regression analysis was used to develop preliminary Equations and cross-validated on an independent group. Final Prediction Equation was constructed combining the two groups and validated by PRESS (Prediction of sum of squares) statistics. Impedance index (height2/impedance; cm2/Ω), weight and sex code (male = 1; female = 0) were used as variables. Results: Independent variables of the final Prediction Equation for TBW were able to predict 86.3% of variance with root means-squared error (RMSE) of 2.1l. PRESS statistics was 2.1l with press residuals of 1.2l. Independent variables were able to predict 86.9% of variance of FFM with RMSE of 2.7 kg. PRESS statistics was 2.8 kg with press residuals of 1.4 kg. Bland Altman technique showed that the majority of the residuals were within mean bias±1.96 s.d. Conclusions: Results of this study provide BIA Equation for the Prediction of TBW and FFM in Sri Lankan children. To the best of our knowledge there are no published BIA Prediction Equations validated on South Asian populations. Results of this study need to be affirmed by more studies on other closely related populations by using multi-component body composition assessment.
Paulomi Das - One of the best experts on this subject based on the ideXlab platform.
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Height as a predictor of vital capacity- a spirometric Equation for Bengalee footballers
2014Co-Authors: Pinaki Chatterjee, Paulomi DasAbstract:The present study was carried out to evaluate vital capacity of Bengalee footballers, to formulate a Prediction Equation and to validate applicability of the Equation. One hundred and three Bengalee male footballers (17 to 22 years of age) were recruited for study. A stepwise, multiple, linear, regression Equation was performed to derive a Prediction Equation. Validity of the Prediction Equation was studied using Bland and Altman method of approach for limits of agreement. Mean vital capacity of the subjects was 3382.5 ± 472.9 ml. Difference between the mean ( standard deviation) vital capacity values of direct measurement and predicted vital capacity (PVC =3383.1 ± 123.7) was statistically insignificant. Analysis of data by Bland and Altman method reveals that Prediction Equation may be used confidently in place of direct procedure. The regression Equation based on height for the studied population is calculated as: Vital Capacity (ml) = 22.25×Height (cm) – 156.16.
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A Prediction Equation for the estimation of vital capacity in nepalese young females
Journal of Human Sport and Exercise, 2011Co-Authors: Pinaki Chatterjee, Alok K. Banerjee, Paulomi DasAbstract:Till date no effort has been made to evaluate vital capacity of children and young adults in Nepal. At present it is difficult to achieve accuracy in clinical diagnosis because of the lack of a unified standard of the normal reference value in young women's Vital capacity in Nepal. So, the present study was carried out to evaluate Vital capacity of healthy Nepalese young females, to formulate a Prediction Equation and to validate the applicability of the Equation. One hundred and three young, non-smokers, female students of 17 to 22 years of age were recruited for this study. A stepwise, multiple, linear, regression Equation was performed to derive a Prediction Equation. Validity of the Prediction Equation was studied using Bland and Altman method of approach for limits of agreement. The mean Vital capacity of Nepalese girls was 2648.05±378.26 ml. The difference between the mean (± standard deviation) vital capacity values of direct measurement and the predicted vital capacity (PVC=2647.12±319.92) was statistically insignificant. Analysis of data by Bland and Altman method of approach for limits of agreement reveals that the Prediction Equation may be used confidently in place of direct procedure. The regression Equation based on height for the studied population is calculated as: Vital Capacity (ml)= 55.68×Height(cm)-6084.15.
Miyuki Nakatani - One of the best experts on this subject based on the ideXlab platform.
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Validity of muscle thickness-based Prediction Equation for quadriceps femoris volume in middle-aged and older men and women
European Journal of Applied Physiology, 2016Co-Authors: Miyuki Nakatani, Yohei Takai, Ryota Akagi, Taku Wakahara, Norihide Sugisaki, Megumi Ohta, Yasuo Kawakami, Tetsuo Fukunaga, Hiroaki KanehisaAbstract:Background This study examined the validity of muscle thickness (MT)-based Prediction Equation for the muscle volume of the quadriceps femoris (QFMV) by evaluating the applicability of a Prediction Equation previously derived from young men and by developing a new Prediction Equation in middle-aged and older individuals.
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Validity of muscle thickness-based Prediction Equation for quadriceps femoris volume in middle-aged and older men and women.
European journal of applied physiology, 2016Co-Authors: Miyuki Nakatani, Yohei Takai, Ryota Akagi, Taku Wakahara, Norihide Sugisaki, Megumi Ohta, Yasuo Kawakami, Tetsuo Fukunaga, Hiroaki KanehisaAbstract:This study examined the validity of muscle thickness (MT)-based Prediction Equation for the muscle volume of the quadriceps femoris (QFMV) by evaluating the applicability of a Prediction Equation previously derived from young men and by developing a new Prediction Equation in middle-aged and older individuals. The MT at the midpoint of the thigh anterior and QFMV were determined using ultrasonography and magnetic resonance imaging in 30 men and 30 women aged 51 to 77 years. First, we examined the validity of the MT-based Prediction Equation previously developed for young men to estimate the QFMV of middle-aged and older individuals. Second, we allocated the subjects to validation or cross-validation group and developed a Prediction Equation for estimating the QFMV using a stepwise multiple regression analysis. The published Equation generated a small but a significant difference between the measured and estimated QFMV, with a systematic error depending on the size of QFMV. A multiple regression analysis for the validation group produced the following Equation: QFMV (cm3) = (sex × 267.7) + (MT × 249.3) + (thigh length × 41.1) - 1663.7 (sex: man = 1, woman = 0). R 2 and SEE of the regression Equation were 0.888 and 124.4 cm3 (12.0 %), respectively. The developed Equation was validated and cross-validated. For middle-aged and older individuals, the Prediction Equation previously derived from young men is not applicable, and the newly developed Prediction Equation with sex, MT, and thigh length as independent variables is applicable for estimating QFMV.
V P Wickramasinghe - One of the best experts on this subject based on the ideXlab platform.
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assessment of body composition in sri lankan children validation of a bioelectrical impedance Prediction Equation
European Journal of Clinical Nutrition, 2008Co-Authors: V P Wickramasinghe, S P Lamabadusuriya, G J Cleghorn, Peter DaviesAbstract:To develop bioelectrical impedance analysis (BIA) Equations to predict total body water (TBW) and fat-free mass (FFM) of Sri Lankan children. Data were collected from 5- to 15-year-old healthy children. They were randomly assigned to validation (M/F: 105/83) and cross-validation (M/F: 53/41) groups. Height, weight and BIA were measured. TBW was assessed using isotope dilution method (D2O). Multiple regression analysis was used to develop preliminary Equations and cross-validated on an independent group. Final Prediction Equation was constructed combining the two groups and validated by PRESS (Prediction of sum of squares) statistics. Impedance index (height2/impedance; cm2/Ω), weight and sex code (male=1; female=0) were used as variables. Independent variables of the final Prediction Equation for TBW were able to predict 86.3% of variance with root means-squared error (RMSE) of 2.1 l. PRESS statistics was 2.1 l with press residuals of 1.2 l. Independent variables were able to predict 86.9% of variance of FFM with RMSE of 2.7 kg. PRESS statistics was 2.8 kg with press residuals of 1.4 kg. Bland Altman technique showed that the majority of the residuals were within mean bias±1.96 s.d. Results of this study provide BIA Equation for the Prediction of TBW and FFM in Sri Lankan children. To the best of our knowledge there are no published BIA Prediction Equations validated on South Asian populations. Results of this study need to be affirmed by more studies on other closely related populations by using multi-component body composition assessment.
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assessment of body composition in sri lankan children validation of a bioelectrical impedance Prediction Equation
Faculty of Health; Institute of Health and Biomedical Innovation, 2008Co-Authors: V P Wickramasinghe, S P Lamabadusuriya, G J Cleghorn, Peter DaviesAbstract:Objective: To develop bioelectrical impedance analysis (BIA) Equations to predict total body water (TBW) and fat-free mass (FFM) of Sri Lankan children. Subjects/Methods: Data were collected from 5- to 15-year-old healthy children. They were randomly assigned to validation (M/F: 105/83) and cross-validation (M/F: 53/41) groups. Height, weight and BIA were measured. TBW was assessed using isotope dilution method (D2 O). Multiple regression analysis was used to develop preliminary Equations and cross-validated on an independent group. Final Prediction Equation was constructed combining the two groups and validated by PRESS (Prediction of sum of squares) statistics. Impedance index (height2/impedance; cm2/Ω), weight and sex code (male = 1; female = 0) were used as variables. Results: Independent variables of the final Prediction Equation for TBW were able to predict 86.3% of variance with root means-squared error (RMSE) of 2.1l. PRESS statistics was 2.1l with press residuals of 1.2l. Independent variables were able to predict 86.9% of variance of FFM with RMSE of 2.7 kg. PRESS statistics was 2.8 kg with press residuals of 1.4 kg. Bland Altman technique showed that the majority of the residuals were within mean bias±1.96 s.d. Conclusions: Results of this study provide BIA Equation for the Prediction of TBW and FFM in Sri Lankan children. To the best of our knowledge there are no published BIA Prediction Equations validated on South Asian populations. Results of this study need to be affirmed by more studies on other closely related populations by using multi-component body composition assessment.
