The Role of Nutrigenomics in Sports Performance: A Quantitative Overview of Gene-Diet Interactions
DOI:
https://doi.org/10.61919/jhrr.v4i1.664Keywords:
Nutrigenomics, Sports Performance, Gene-Diet Interactions, Athletic Performance, Personalized Nutrition, Athletic Recovery, Endurance Levels, SPSS, Principal Component AnalysisAbstract
Background: The burgeoning field of nutrigenomics offers a promising avenue for enhancing athletic performance through personalized nutrition plans tailored to an individual's genetic makeup. This study delves into the intricate dynamics between gene-diet interactions and their implications for athletes' performance, recovery rate, and endurance levels, thus contributing to the growing discourse on personalized sports nutrition and training regimens.
Objective: The primary objective of this study was to investigate the impact of gene-diet interactions on sports performance, with a specific focus on understanding how these interactions influence athletes' recovery rates and endurance levels. The study aimed to provide empirical evidence to support the development of personalized nutrition and training strategies in the realm of sports.
Methods: Utilizing a quantitative research design, this investigation analyzed data from 400 athletes, drawing on secondary sources, including the World Bank's extensive databases. Statistical analyses were conducted using the Statistical Package for the Social Sciences (SPSS) Version 25, encompassing descriptive statistics, Pearson correlation analysis, regression analysis, and factor analysis through Principal Component Analysis. This comprehensive methodological approach aimed to unravel the complex relationships between genetic variations, dietary patterns, and athletic performance metrics.
Results: Descriptive statistics revealed a wide range of performance scores (50.57 - 99.60), recovery rates (1.02 - 9.99), and endurance levels (1.00 - 9.93), indicating significant variability among athletes. Correlation analysis demonstrated a modest but significant relationship between recovery rate and performance score (r = .140, p < .05), while regression analysis showed minimal explanatory power of gene variation and diet type on performance scores (R Square = .012). Factor analysis identified a latent factor predominantly influenced by recovery rate, suggesting an underlying trait affecting various aspects of athletic performance.
Conclusion: This study underscores the complex and multifaceted nature of gene-diet interactions in influencing sports performance. The findings advocate for a more nuanced, personalized approach to nutrition and training, emphasizing the need for further research to explore a broader spectrum of genetic and dietary factors. The potential of nutrigenomics in sports underscores the importance of individualized dietary plans in optimizing athletic performance and recovery.
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Copyright (c) 2024 Zulqarnain, Sana Suleman, Abdul Qadeer Niaz, Muhammad Noman Akram, Bisma Hadi, Muhammad Usman, Muhammad Sajjad, Muhammad Waseem , Aman Rajjab, Rana Muhammad Muqarrab
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