Background: Previous research has explored associations between accelerometry and Global Navigation Satellite System (GNSS) derived loads. However, to our knowledge, no study has investigated the relationship between these measures and a known distance. Thus, the current study aimed to assess and compare the ability of four accelerometry based metrics and GNSS to predict known distance completed using different movement constraints. Method: A correlational design study was used to evaluate the association between the dependent and independent variables. A total of 30 physically active college students participated. Participants were asked to walk two different known distances (DIST) around a 2 m diameter circle (small circle) and a different distance around an 8 m diameter circle (large circle). Each distance completed around the small circle by one participant was completed around the large circle by a different participant. The same 30 distances were completed around each circle and ranged from 12.57 to 376.99 m. Instrumentation: Acceleration data was collected via a tri-axial accelerometer sampling at 100 Hz. Accelerometry derived measures included the sum of the absolute values of acceleration (SUM), the square root of the sum of squared accelerations (MAG), Player Load (PL), and Impulse Load (IL). Distance (GNSSD) was measured from positional data collected using a triple GNSS unit sampling at 10 Hz. Results: Separate simple linear regression models were created to assess the ability of each independent variable to predict DIST. The results indicate that all regression models performed well (R = 0.960–0.999, R2 = 0.922–0.999; RMSE = 0.047–0.242, p < 0.001), while GNSSD (small circle, R = 0.999, R2 = 0.997, RMSE = 0.047 p < 0.001; large circle, R = 0.999, R2 = 0.999, RMSE = 0.027, p < 0.001) and the accelerometry derived metric MAG (small circle, R = 0.992, R2 = 0.983, RMSE = 0.112, p < 0.001; large circle, R = 0.997, R2 = 0.995, RMSE = 0.064, p < 0.001) performed best among all models. Conclusions: This research illustrates that both GNSS and accelerometry may be used to indicate total distance completed while walking.
Nutrition plays an important role as a key factor in the performance of athletes and their coaches, so good and proper nutrition is essential for improving athletic performance and physical fitness. The lack of nutritional knowledge of athletes may affect their performance, and the most important of these issues is nutritional knowledge of food and dietary supplements Aim: To assess the nutritional knowledge, attitude, and practice of athletes and their coaches at the Arab Olympic Preparation Center about the dietary supplements, the Knowledge, Attitude and Practice Strategy has been used to assess this. Method: A questionnaire-based study was applied to a convenient sample of 111 elite athletes and coaches in the Arab Olympic preparation programs during the period between January and March 2020 from different sports types. The questionnaire contained two-parts (personal information and nutritional supplement knowledge, attitude, and practice questionnaire) to meet the purpose of the study. Results: The total percentage of athletes' knowledge about nutritional supplements is only 46.94 %, indicating that this important group of society does not have sufficient knowledge of nutritional supplements. While the percentage of use of dietary supplements among elite athletes was approximately 41.6%, which is relatively high. Also, our study showed that coaches had a positive impact on the elite athletes due to good coaches' knowledge, 84.2% of elite athletes indicated that they had taken information from their coaches about dietary supplements, and 53.5% of elite athletes indicated that they had participated in nutritional supplement workshops. Conclusion: Based on our study, there was a relatively high prevalence of dietary supplements use among elite athletes and coaches at the Arab Olympic Preparation Program due to a lack of knowledge about dietary supplements.
Despite the importance of physical activity and training, proper nutrition and good nutrition knowledge plays an important role in enhancing the athletes' performance and health status. Objective: To study the knowledge, attitude, and practice toward sport-nutrition among Jordanian athletes and coaches at Jordanian Olympic Preparation Program for TOKYO2020 Olympic Games. Method: A cross-sectional design was used. 95 participants (85 athletes and 10 coaches) were recruited from 7 Olympic federations (i.e., judo, karate, taekwondo, basketball, football, muay thai, and boxing). The questionnaire consisted of questions related to demographic information, nutritional knowledge, attitude, and practice. Results: Individual federation athletes' practice and attitude were significantly lower than group federation athletes (1.659±0.04, 1.318±0.10, 1.84±0.03, 1.54±0.10). Individual federation athletes had significantly higher knowledge than group federation athletes (1.638±0.035, 1.620±0.037, respectively). Coaches' knowledge, practice, and attitude (1.471±0.06, 1.675±0.10, 1.300±0.21, respectively) were significantly lower than athletes (1.647±0.02, 1.771±0.03, 1.459±0.07). Knowledge and attitude were found to have a significant positive correlation (0.261), whereas knowledge was found to have a positive correlation with practice (0.037) and practice was found to have a positive correlation with attitude (0.069), but these correlations were not significant (P> 0.05). Conclusion: The current study identified some gaps in nutritional knowledge and practice among Jordanian Olympic athletes, implying the need for developing strategies in athlete counseling and teaching to improve their knowledge and practices, which have an impact on performance and health promotion.
Background: The monitoring of accelerometry derived load has received increased attention in recent years. However, the ability of such measures to quantify training load during sport-related activities is not well established. Thus, the current study aimed to assess the validity and reliability of tri-axial accelerometers to identify step count and quantify external load during several locomotor conditions including walking, jogging, and running.Method: Thirty physically active college students (height = 176.8 ± 6.1 cm, weight = 82.3 ± 12.8 kg) participated. Acceleration data was collected via two tri-axial accelerometers (Device A and B) sampling at 100 Hz, mounted closely together at the xiphoid process. Each participant completed two trials of straight-line walking, jogging, and running on a 20 m course. Device A was used to assess accelerometer validity to identify step count and the test-retest reliability of the instrument to quantify the external load. Device A and Device B were used to assess inter-device reliability. The reliability of accelerometry-derived metrics Impulse Load (IL) and Magnitude g (MAG) were assessed.Results: The instrument demonstrated a positive predictive value (PPV) ranging between 96.98%–99.41% and an agreement ranging between 93.08%–96.29% for step detection during all conditions. Good test-retest reliability was found with a coefficient of variation (CV) <5% for IL and MAG during all locomotor conditions. Good inter-device reliability was also found for all locomotor conditions (IL and MAG CV < 5%).Conclusion: This research indicates that tri-axial accelerometers can be used to identify steps and quantify external load when movement is completed at a range of speeds.
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