Downloads: 0
Analysis Study Research Paper | Physical Education | Volume 15 Issue 4, April 2026 | Pages: 485 - 490 | India
Charcoal Efficiency Model of Body Fat Optimization: A Data-Driven Approach to Strength, Endurance, and Longevity
Abstract: Body composition plays a fundamental role in determining physical performance, metabolic efficiency, and long-term health outcomes. The present study introduces the Charcoal Efficiency Model of Body Fat Optimization, a novel conceptual framework that draws an analogy between controlled combustion processes and human energy metabolism. Grounded in the principles of Cellular Respiration, the model explains how optimal body fat levels enhance physiological efficiency, while both low and excessive fat levels impair performance. An experimental study was conducted over 12 weeks on 60 male university students aged between 18 and 25 years. Participants were categorized into three groups based on body fat percentage: low fat (<10%), optimal fat (10?18%), and high fat (>18%). Pre- and post-tests were conducted to assess muscular strength (push-ups) and aerobic endurance (12-minute run test). Statistical analysis revealed that the optimal fat group demonstrated significantly greater improvements in both strength and endurance compared to the other groups. The findings validate the proposed model and highlight the importance of maintaining optimal body fat for enhanced performance and longevity. The study contributes to sports science by offering a new theoretical perspective and practical implications for athlete training and health optimization.
Keywords: Body Composition, Metabolic Efficiency, Strength, Endurance, Sports Science, Cellular Respiration
How to Cite?: Jogi Prasad, "Charcoal Efficiency Model of Body Fat Optimization: A Data-Driven Approach to Strength, Endurance, and Longevity", Volume 15 Issue 4, April 2026, International Journal of Science and Research (IJSR), Pages: 485-490, https://www.ijsr.net/getabstract.php?paperid=SR26404101613, DOI: https://dx.dx.doi.org/10.21275/SR26404101613