Physical Fitness Measurement using Multiple Linear Regression (Case Study of Children and Adolescents)

Abstract

Physical activity is an essential component of a healthy lifestyle. It is clear that physically active people have a lower disease risk than sedentary individuals. Thus the measurement for physical fitness becomes the subject of current research interest. Fitness defines as the “The ability to carry out daily tasks with vigor and alertness, and with ample energy to enjoy leisure-time pursuits and to meet unforeseen emergencies.” And Physical working capacity is the best measure of fitness. Therefore, a model is proposed to measure the physical fitness by estimating physical working capacity. By using this model, the value of fitness (PWC) can be predicted approximately. In this paper, the fitness value is calculated by the relational PWC which is the PWC value divided by the weight. The proposed fitness survey is implemented by the use of multiple linear regression to predict the physical fitness (PWC value) as the dependent variable by defining the relevant physical parameters such as lung capacity, resting heart rate, systolic blood pressure, diastolic blood pressure, breath holding, coordination of movement, weight and height ratio (WHR), motor response, shoulder girdle muscle (spin), flexibility of the spine, abdominal muscle (press) and squat as independent variables. The proposed model will give the physical activities which are the most related to the fitness and if these are made as regular practice, there will have more productivity.