Abstract
Abstract
Background
The aim of this study was to examine whether the fitness of Korean adults can be analyzed by the cause-effect relation using the linearity or Gaussianity in the lump mean scheme (LMS).
Methods
This study analyzed previous results for the sit-up test obtained in the LMS by regression analysis in Sigmaplot 14. The effects of the body mass index (BMI) and new waist-to-height ratio (WHT2R) introduced by the present author on fitness were investigated.
Results
The distribution of the sit-up test score with respect to the BMI and WHT2R were interpreted by their Gaussianity and linearity, respectively. This means that the muscular endurance of males is determined by two causes (fat and muscle) when the BMI is a variable and one cause (abdominal fat) when the WHT2R is a variable.
Conclusions
Personal exercise aims were simpler to establish using WHT2R than using BMI. On the other hand, it was recommended for people with a low BMI to increase their fitness using exercises that increase their muscle mass.
Publisher
Springer Science and Business Media LLC
Subject
Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine
Reference34 articles.
1. Pereda E, Quiroga RQ, Bhattacharya J. Nonlinear multivariate analysis of neurophysiological signals. Prog Neurobiol. 2005;77:1–37.
2. Castro DC, Walker I, Glocker B. Causality matters in medical imaging. Nat Commun. 2020;11:3673.
3. Ay N, Polani D. Information flows in causal networks. Adv Complex Syst. 2008;11:17–41.
4. Daniel HL, Pablo MM, David LP, Alberto S. Non-linear causal inference using gaussianity measures. J Mach Learn Res. 2016;17:1–39.
5. Sachs K, Perez O, Pe’er D, Lauffenburger DA, Nolan GP. Causal protein-signaling networks derived from multiparameter single-cell data. Science. 2005;308:523–9.