Biometrics evaluation and lung function analysis of male long-distant runners at the University of Port Harcourt

Abstract

This research evaluated the connection between biometrics and lung function analysis in University of Port Harcourt male long-distance runners. Data were collected from participants in 12 days and statistical analysis was done using Pearson's Product-Moment Correlation Coefficient. The significance level was set at P<0.05 with a confidence level of 95%. The results revealed a Body Mass Index (BMI) of 21.53 40 male long-distance runners of ages from 18 to 50 years were picked randomly. The findings showed a negative relationship between Body Mass Index and Expiratory Reserve Volume with p= 0.02. ERV decreased as BMI increased (P = 0.063). The beta correlation coefficient indicated a weak relationship. After regressing BMI and ERV, the hypothesis was rejected. The findings showed a positive relationship between BMI and IRV. p> 0.05, the relationship is not statistically significant. A perfect BMI-IRV relationship existed and the hypothesis was accepted. Also showed that IRV is greater, while BMI and IRV are positively correlated. A positive relationship between BMI and Force Vital Capacity is seen with p> 0.05. BMI increases FVC, as seen by the beta coefficient's substantial positive association. A weak negative relationship between WC and ERV. Statistically, there was no significant relationship. After the regression analysis of Waist Circumference with ERV to test the hypothesis between WC and ERV was accepted. WC and IRV were positively correlated and showed a modest correlation. The WC had a very modest negative relationship with FVC. The correlations are not statistically significant. The WHR was negatively correlated with ERV and there was a favourable relationship between WHR and IRV, also which demonstrated a negative relationship between WHR and FVC. The results indicated that athletes exhibited significantly higher FVC, ERV, and IRV values.