| Literature DB >> 27383836 |
Lena Grams1, Guadalupe Garrido1, Jorge Villacieros2, Amelia Ferro2.
Abstract
Wheelchair basketball has evolved into a high-performance sport over several years, and small variations in player performance can determine the difference between winning and losing. Therefore, adequate micronutrient intake may influence this difference if performance-promoting macronutrient intake and physical fitness are equal between teams. Seventeen elite male wheelchair basketball players belonging to the Spanish National Team participated in this study. Macro- and micronutrient intake were determined using a food-weighing diary over three consecutive days during three training camps in two consecutive years. Current Dietary Reference Intake levels were used to determine the adequacy of intake of seventeen micronutrients of particular interest for athletes. After categorizing the consumed foods into fourteen food groups according to the National Nutrient Database for Standard References (USDA) these groups were used to identify the best predictors of the adequacy of intake for each micronutrient. Total energy intake correlated positively with the adequacy of all micronutrient intake levels, except for vitamins A and E. Five B vitamins and phosphorus, selenium, and iron showed 100% adequacy. All other micronutrient intake levels were found to be inadequate, e.g., vitamin E (51% adequacy) and calcium (73%). The fruit, fish and cereal food groups were found to be predictors of adequate intake of most micronutrients. Together with energy intake (p = .009, η2 = 0.49), the intake of the fruit (p = .032, η2 = 0.39) and egg (p = .036, Kendall's W = 0.42) food groups increased significantly over time, along with improved iodine (p = .008, W = 0.61) and magnesium (p = .030, W = 0.44) adequacy levels. Because the adequacy of micronutrient intake correlates positively with energy intake (R = 0.64, p < .001), a varied diet that includes cereals, fish and fruits is especially important for players with low levels of energy intake. Supplements may be a possible solution if adequate micronutrient intake cannot be achieved through regular dietary intake alone. However, dietary analyses should be conducted on a regular basis throughout the year to improve the nutritional knowledge of the athletes and assure adequate micronutrient intake.Entities:
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Year: 2016 PMID: 27383836 PMCID: PMC4934691 DOI: 10.1371/journal.pone.0157931
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Timeline of all training camps (T1, T2 and T3).
Player characteristics and diet composition shown as the mean values over the number of diaries.
| Player | Number of diaries | Height (cm) | Weight (kg) | BMI (kg/m2) | SCI or amputee |
|---|---|---|---|---|---|
| 1 | 1 | 189 | 84.0 | 23.5 | Amputee |
| 2 | 3 | 181 | 102.8 | 31.4 | Amputee |
| 3 | 2 | 187 | 88.5 | 25.3 | Amputee |
| 4 | 3 | 186 | 76.8 | 22.2 | Amputee |
| 5 | 2 | 183 | 75.3 | 22.5 | Amputee |
| 6 | 3 | 182 | 88.2 | 26.6 | SCI |
| 7 | 2 | 178 | 76.8 | 24.2 | SCI |
| 8 | 3 | 170 | 73.9 | 25.6 | SCI |
| 9 | 2 | 171 | 61.9 | 21.2 | SCI |
| 10 | 1 | 190 | 82.3 | 22.8 | SCI |
| 11 | 3 | 175 | 75.3 | 24.6 | SCI |
| 12 | 3 | 184 | 69.9 | 20.6 | SCI |
| 13 | 3 | 170 | 46.7 | 16.1 | SCI |
| 14 | 1 | 186 | 74.1 | 21.4 | SCI |
| 15 | 1 | 176 | 69.0 | 22.3 | SCI |
| 16 | 1 | 173 | 65.0 | 21.7 | SCI |
| 17 | 3 | 183 | 70.6 | 21.1 | SCI |
| 182 [170;190] | 75.5±13.5 | 23.3±3.7 |
BMI, body mass index; SCI, spinal cord injury
Fig 2Probability of adequate micronutrient intake.
Correlation between total energy intake and the probability of adequate micronutrient intake.
| Correlation coefficient | ||
|---|---|---|
| AdequacySUM | 0.64 | <0.001 |
| Vitamins | ||
| Vitamin A | 0.29 | 0.087 |
| Folic acid | 0.50 | 0.002 |
| Niacin (mg) | 0.59 | <0.001 |
| Riboflavin (mg) | 0.63 | <0.001 |
| Thiamin | 0.44 | 0.006 |
| Vitamin B6 (mg) | 0.59 | <0.001 |
| Vitamin B12 (μg) | 0.53 | <0.001 |
| Vitamin C | 0.33 | 0.044 |
| Vitamin D | 0.54 | <0.001 |
| Vitamin E | 0.29 | 0.082 |
| Minerals | ||
| Calcium | 0.44 | 0.006 |
| Iodine | 0.64 | <0.001 |
| Iron (mg) | 0.53 | <0.001 |
| Magnesium | 0.55 | <0.001 |
| Phosphorus (mg) | 0.65 | <0.001 |
| Selenium (μg) | 0.41 | 0.013 |
| Zinc | 0.59 | <0.001 |
a The probability of adequate intake is constant at 100%
Beta coefficients of stepwise multiple linear regressions with the probability of adequate micronutrient intake as a dependent variable and energy intake levels from different food groups as independent variables.
| R2 | Cereals | Legumes | Vegetables | Fruits | Dairy | Meats | Fish | Eggs | Sugars and sweets | Fats and oils | Beverages | Prepared meals | Appetizers | Sauces | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AdequacySUM | 0.72 | 0.27 | 0.58 | 0.22 | 0.42 | ||||||||||
| Vitamins | |||||||||||||||
| Vitamin A | 0.25 | 0.36 | -0.30 | ||||||||||||
| Folic acid | 0.71 | 0.30 | 0.66 | 0.40 | 0.33 | -0.25 | |||||||||
| Niacin (mg) | 0.87 | 0.24 | 0.29 | 0.21 | 0.66 | 0.38 | 0.21 | ||||||||
| Riboflavin (mg) | 0.54 | 0.43 | 0.49 | 0.38 | |||||||||||
| Thiamin | 0.26 | 0.51 | |||||||||||||
| Vitamin B6 (mg) | 0.49 | 0.35 | 0.30 | 0.44 | |||||||||||
| Vitamin B12 (μg) | 0.85 | 0.30 | 0.55 | 0.64 | 0.26 | 0.26 | |||||||||
| Vitamin C | 0.50 | 0.30 | -0.38 | -0.41 | |||||||||||
| Vitamin D | 0.24 | 0.49 | |||||||||||||
| Vitamin E | 0.62 | 0.50 | 0.51 | -0.27 | |||||||||||
| Minerals | |||||||||||||||
| Calcium | 0.40 | 0.63 | |||||||||||||
| Iodine | 0.61 | 0.36 | 0.41 | 0.46 | -0.27 | ||||||||||
| Iron (mg) | 0.55 | 0.39 | 0.35 | 0.48 | 0.40 | ||||||||||
| Magnesium | 0.67 | 0.51 | 0.42 | 0.27 | |||||||||||
| Phosphorus (mg) | 0.75 | 0.38 | 0.34 | 0.29 | 0.41 | 0.30 | |||||||||
| Selenium (μg) | 0.66 | 0.37 | -0.21 | 0.60 | |||||||||||
| Zinc | 0.21 | 0.46 |
a The probability of adequate intake was constant at 100%
Anthropometric data and diet compositions for the eight players who took part in all three evaluations.
| Parameter | Training Camp T1 | Training Camp T2 | Training Camp T3 | η2 | |
|---|---|---|---|---|---|
| Age (years) | 29.9±6.5 | 30.0±6.5 | 31.0±6.5 | --- | |
| Height (cm) | 178.9±6.3 | 178.9±6.3 | --- | ||
| Body weight (kg) | 75.0±16.2 | 74.3±15.6 | 77.3±16.5 | 0.029 | 0.40 |
| BMI (kg/m2) | 23.4±4.7 | 23.1±4.5 | 24.1±4.7 | 0.032 | 0.39 |
| Total energy intake (kcal/d) | 2441±341 | 2446±588 | 2968±453 | 0.009 | 0.49 |
| Carbohydrate (g/kg) | 3.1 [2.8;7.1] | 3.5 [1.8;8.1] | 4.9 [2.7;7.4] | 0.197 | |
| Protein (g/kg) | 1.6±0.7 | 1.5±0.5 | 1.9±0.7 | 0.071 | |
| Fat (%) | 35.1±4.7 | 33.7±4.8 | 32.1±5.9 | 0.599 | |
| Cholesterol (mg) | 401 [263;947] | 317 [226;518] | 669 [216;992] | 0.012 | 0.25 |
a T2 vs. T3 p < .05,
b T1 vs. T3 p < .05 BMI, body mass index
Fig 3Probabilities of adequate vitamin (a) and mineral intake (b) for the eight players who took part in all three evaluations (T1, T2 and T3).