Fatness Predicts Cardiovascular Disease Risk Factor Profile Better than Fitness in Healthy Men A Discriminant Analysis Approach

Pradeep Singh Chahar; Abhimanyu Singh; Hari Kesh Yadav; Bhawna Chahar; Trilok Singh Chahar

doi:10.14429/dlsj.8.18003

Pradeep Singh Chahar Department of Physical Education, Banaras Hindu University, Varanasi, India-221 005 https://orcid.org/0000-0002-0610-0614
Abhimanyu Singh Department of Physical Education, Banaras Hindu University, Varanasi, India-221 005 https://orcid.org/0000-0002-7697-1714
Hari Kesh Yadav Department of General Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India-221 005 https://orcid.org/0000-0002-6610-1694
Bhawna Chahar Department of Business Administration, Manipal University Jaipur, Rajasthan, India-303 007 https://orcid.org/0000-0002-0473-1957
Trilok Singh Chahar Government College Vijaypur, Sheopur, Jiwaji University Gwalior, India-476 332 https://orcid.org/0000-0003-0926-4785

DOI: https://doi.org/10.14429/dlsj.8.18003

Keywords: Middle Aged, Cardiovascular Diseases, Discriminant Analysis, Body Weight, Muscle Strength, Risk Factors

Abstract

Fitness is healthy and can help to reduce, but not eliminate, the negative effects of obesity. As a result,
identifying variables for categorizing individuals into high-risk or low-risk groups is critical.The study’s goalwas
to determine the relationship between fitness, fatness, and cardiovascular disease risk factors as well as to construct a discriminant model for categorizing individuals as high-risk or low-risk. A total of 120 in-service healthy armed forces personnel aged 25 to 49 years were randomly selected as subjects for this study and were measured for the selected fitness and fatness variables, namely cardio respiratory endurance, muscular endurance, muscular leg and back strength, flexibility, weight, waist circumference, hip circumference, waist-hip ratio, body mass index, waist to height ratio, and fat percentage. The findings revealed that fitness variables contribute little to CVD risk factors than specific fatness characteristics, which appear to play a larger role.Based on selected fitness and fatness indicators, a discriminant model was developed to classify subjects into high and low cardiovascular disease risk groups. The group centroid was found to be 0.829. The model validity was determined to be 80.6 per cent based on the classification matrix. Finally, the findings of the study suggest that age and waist circumference play an important role in distinguishing individuals with high and low CVD risk