Prediction of Athletic Performance through Nutrition Knowledge and Practice: A Cross-Sectional Study among Young Team Athletes
The present study was conducted to assess the nutrition knowledge, practice, and status and to identify the nutritional and body composition factors predicting athletes’ performance. Young team athletes including 40 footballers and 50 hockey players were recruited in this study (age 16.48±1.5) to as...
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| Format: | Article |
| Language: | English |
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Montenegrin Sports Academy and Faculty for Sport and Physical Education
2019-10-01
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| Series: | Sport Mont |
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| Online Access: | http://www.sportmont.ucg.ac.me/clanci/SM_October_2019_Debnath_13-20.pdf |
| _version_ | 1831538492567453696 |
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| author | Monalisa Debnath Subhra Chatterjee Amit Bandyopadhyay Gouriprosad Datta Swapan Kumar Dey |
| author_facet | Monalisa Debnath Subhra Chatterjee Amit Bandyopadhyay Gouriprosad Datta Swapan Kumar Dey |
| author_sort | Monalisa Debnath |
| collection | DOAJ |
| description | The present study was conducted to assess the nutrition knowledge, practice, and status and to identify the nutritional and body composition factors predicting athletes’ performance. Young team athletes including 40 footballers and 50 hockey players were recruited in this study (age 16.48±1.5) to assess the nutrition knowledge (NK), nutrition practice (NP), and 24-hour dietary recall using a semi-structured questionnaire. Physical characteristics, including height, weight and body mass index (BMI), along with static strength- handgrip and relative back strength, were recorded. Fat mass (FM), fat-free mass (FFM), muscle mass (MM), basal metabolic rate (BMR) and glycogen store was determined using a bioelectrical impedance analyser. Aerobic capacity (VO2max) was measured with a beep test. The majority of the athletes with good NK scores were found to have good NP scores as well and vice versa (χ2=23.861, p=0.000). Their mean recorded scores for NK and NP were found to be 11.13±3.6 and 7.30±2.0 out of a total of 20 and 12, respectively. Daily consumption of protein (β=0.336; p value=0.004), sodium (β=0.273; p value=0.006) and dietary fibre (β=0.220; p value=0.002) were found to be the best predictors for nutritional practice. Nutrition knowledge and practice had significant positive correlation with BMR (0.314***; 0.419***), calcium intake (0.248*; 0.482***), iron intake (0.303***; 0.221*) and VO2max (0.331***; 0.428***), respectively. Daily calorie consumption (β=0.144, p=0.029), BMR (β=0.304, p<0.001***), MM (β=0.213, p=0.020), calcium (β=0.275, p=0.001) and iron intake (β=0.240, p=.001) were the significant predictors of athletic performance. Therefore, good nutrition knowledge may improve the nutritional habits and dietary pattern of athletes. Body composition and nutrient intake can predict athletic performance. Intervention studies should emphasize nutrition education aiming for improved athletic performance. |
| first_indexed | 2024-12-16T23:24:26Z |
| format | Article |
| id | doaj.art-498021a7a3db4634ab9636a3c0f813ab |
| institution | Directory Open Access Journal |
| issn | 1451-7485 2337-0351 |
| language | English |
| last_indexed | 2024-12-16T23:24:26Z |
| publishDate | 2019-10-01 |
| publisher | Montenegrin Sports Academy and Faculty for Sport and Physical Education |
| record_format | Article |
| series | Sport Mont |
| spelling | doaj.art-498021a7a3db4634ab9636a3c0f813ab2022-12-21T22:12:03ZengMontenegrin Sports Academy and Faculty for Sport and Physical EducationSport Mont1451-74852337-03512019-10-01173132010.26773/smj.191012Prediction of Athletic Performance through Nutrition Knowledge and Practice: A Cross-Sectional Study among Young Team AthletesMonalisa Debnath0Subhra Chatterjee1Amit Bandyopadhyay2Gouriprosad Datta3Swapan Kumar Dey4Department of Sports Science, Sports Authority of India, Salt Lake City, Kolkata, IndiaSports Authority of India, New Delhi, IndiaUniversity of Calcutta, University Colleges of Science and Technology, Sports and Exercise Physiology Laboratory, Department of Physiology, Kolkata, IndiaDepartment of Physiology, Rammohan College, Kolkata, IndiaSports Authority of India, Salt Lake City, Kolkata, IndiaThe present study was conducted to assess the nutrition knowledge, practice, and status and to identify the nutritional and body composition factors predicting athletes’ performance. Young team athletes including 40 footballers and 50 hockey players were recruited in this study (age 16.48±1.5) to assess the nutrition knowledge (NK), nutrition practice (NP), and 24-hour dietary recall using a semi-structured questionnaire. Physical characteristics, including height, weight and body mass index (BMI), along with static strength- handgrip and relative back strength, were recorded. Fat mass (FM), fat-free mass (FFM), muscle mass (MM), basal metabolic rate (BMR) and glycogen store was determined using a bioelectrical impedance analyser. Aerobic capacity (VO2max) was measured with a beep test. The majority of the athletes with good NK scores were found to have good NP scores as well and vice versa (χ2=23.861, p=0.000). Their mean recorded scores for NK and NP were found to be 11.13±3.6 and 7.30±2.0 out of a total of 20 and 12, respectively. Daily consumption of protein (β=0.336; p value=0.004), sodium (β=0.273; p value=0.006) and dietary fibre (β=0.220; p value=0.002) were found to be the best predictors for nutritional practice. Nutrition knowledge and practice had significant positive correlation with BMR (0.314***; 0.419***), calcium intake (0.248*; 0.482***), iron intake (0.303***; 0.221*) and VO2max (0.331***; 0.428***), respectively. Daily calorie consumption (β=0.144, p=0.029), BMR (β=0.304, p<0.001***), MM (β=0.213, p=0.020), calcium (β=0.275, p=0.001) and iron intake (β=0.240, p=.001) were the significant predictors of athletic performance. Therefore, good nutrition knowledge may improve the nutritional habits and dietary pattern of athletes. Body composition and nutrient intake can predict athletic performance. Intervention studies should emphasize nutrition education aiming for improved athletic performance.http://www.sportmont.ucg.ac.me/clanci/SM_October_2019_Debnath_13-20.pdfbasal metabolic ratebioelectrical impedance analysisbody compositiondietary patternaerobic capacity |
| spellingShingle | Monalisa Debnath Subhra Chatterjee Amit Bandyopadhyay Gouriprosad Datta Swapan Kumar Dey Prediction of Athletic Performance through Nutrition Knowledge and Practice: A Cross-Sectional Study among Young Team Athletes Sport Mont basal metabolic rate bioelectrical impedance analysis body composition dietary pattern aerobic capacity |
| title | Prediction of Athletic Performance through Nutrition Knowledge and Practice: A Cross-Sectional Study among Young Team Athletes |
| title_full | Prediction of Athletic Performance through Nutrition Knowledge and Practice: A Cross-Sectional Study among Young Team Athletes |
| title_fullStr | Prediction of Athletic Performance through Nutrition Knowledge and Practice: A Cross-Sectional Study among Young Team Athletes |
| title_full_unstemmed | Prediction of Athletic Performance through Nutrition Knowledge and Practice: A Cross-Sectional Study among Young Team Athletes |
| title_short | Prediction of Athletic Performance through Nutrition Knowledge and Practice: A Cross-Sectional Study among Young Team Athletes |
| title_sort | prediction of athletic performance through nutrition knowledge and practice a cross sectional study among young team athletes |
| topic | basal metabolic rate bioelectrical impedance analysis body composition dietary pattern aerobic capacity |
| url | http://www.sportmont.ucg.ac.me/clanci/SM_October_2019_Debnath_13-20.pdf |
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