Prediction Of Athletes’ Performance Through Harnessing Wearable Technology And Sedentary Lifestyle: Trainer Motivation As Mediator

Authors

  • Mehwish Sajjad, Dr. Noor Muhammad, Roshan Sarwar, Bilal Ahmad Qureshi, Le Thi Minh Dao & Dr. Hamid Masood Khan & Dr. Aslam Khan

Abstract

The development of wearable technology has revolutionized the way, the athletes monitor and enhance their performance. This study aims to predict athletes' performance by examining the interplay between wearable technology usage and sedentary lifestyle behaviors, with a focus on the mediating role of trainer motivation. By integrating data from wearable devices that track physical activity, sleep patterns, heart rate, and other performance indicators, the study explores how consistent monitoring can counteract the negative effects of a sedentary lifestyle on athletic outcomes. Additionally, the role of trainer motivation is examined to understand how motivation from coaches or trainers can bridge gap between wearable technology and improved performance. [1]A survey was conducted among athletes from males and females as physically active athletes of fitness centers of central Punjab, by gathering data on use of wearable technology, daily activity, sedentary habits, and their trainers’ motivational strategies. The results indicate that athletes who effectively harness wearable technology, in conjunction with trainer motivation, reveal superior performance. The study highlights critical role of personalized training programs, supported by accurate data from wearable technology and standing of trainer influence in enhancing athletes' overall performance.

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Published

2024-01-07

How to Cite

Mehwish Sajjad, Dr. Noor Muhammad, Roshan Sarwar, Bilal Ahmad Qureshi, Le Thi Minh Dao & Dr. Hamid Masood Khan & Dr. Aslam Khan. (2024). Prediction Of Athletes’ Performance Through Harnessing Wearable Technology And Sedentary Lifestyle: Trainer Motivation As Mediator. Migration Letters, 21(S2), 1707–1715. Retrieved from https://migrationletters.com/index.php/ml/article/view/11329

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Articles