| Literature DB >> 35276930 |
Nur Syazana Nor Azizam1, Siti Nurhazlin Yusof1, Jonie Jerypin Amon1, Azimah Ahmad2, Nik Shanita Safii1, Nor Aini Jamil1.
Abstract
Sports nutrition and food knowledge can influence athletes' dietary intake, potentially affecting athletic performance. Limited studies have been conducted to identify sports nutrition and food knowledge among Malaysian university athletes. This study aimed to determine Malaysian university athletes' knowledge of sports nutrition and food, and their reference sources and preferred sports nutrition education programme. Seventy athletes (52.9% females, mean weight = 61.8 kg; height = 1.66 m) aged 18.5-22.4 years responded to an online survey administered using a Google Form. A score of ≥60% was considered as adequate knowledge. The average overall knowledge score was 58.6%. The highest knowledge score was for sports nutrition, specifically food intake periodicity (84.8%), while the lowest was for general food knowledge on fat (44.6%). An analysis of specific questions revealed a lack of understanding about the recommended daily intake of fruits and vegetables (only 14.3% answered correctly), the roles of vitamins and minerals in energy production (21.4%), and good sources of unsaturated fat (37.2%). The academician was the primary reference source (81%), while magazines were the least referred to sources (36%). The university athletes preferred sports camps (33%) over the other nutrition education programme options. More initiatives are needed to improve Malaysian university athletes' understanding and knowledge of sports nutrition and general food.Entities:
Keywords: food knowledge; nutrition education; sports nutrition; university athletes
Mesh:
Year: 2022 PMID: 35276930 PMCID: PMC8838580 DOI: 10.3390/nu14030572
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Sociodemographic profiles of the university athletes (n = 70).
|
| % | Mean Score (SD) | Min, Max | |
|---|---|---|---|---|
| Age (years) | 20.6 (1.0) | 18.5, 22.4 | ||
| Sex | ||||
| Male | 33 | 47.1 | ||
| Female | 37 | 52.9 | ||
| Ethnicity | ||||
| Malay | 67 | 95.7 | ||
| Indian | 3 | 4.3 | ||
| Body weight (kg) | 61.8 | 44.0, 91.0 | ||
| Height (m) | 1.66 | 1.42, 1.83 | ||
| BMI (kg/m2) | 22.4 | 16.5, 31.9 | ||
| BMI status | ||||
| Underweight | 4 | 5.7 | ||
| Normal | 56 | 80.0 | ||
| Overweight | 8 | 11.4 | ||
| Obese | 2 | 2.9 | ||
| Level of study | ||||
| Diploma | 28 | 40.0 | ||
| Degree | 42 | 60.0 | ||
| Year of study | ||||
| First-year | 48 | 68.6 | ||
| Second-year | 22 | 27.1 | ||
| Third-year | 3 | 3.3 | ||
| Sport category | ||||
| Team sport | 30 | 42.9 | ||
| Skills | 14 | 20.0 | ||
| Athletic | 11 | 15.7 | ||
| Combat sport | 10 | 14.3 | ||
| Racket | 5 | 7.1 | ||
| Level of sport participation | ||||
| University | 14 | 20.0 | ||
| State | 32 | 45.7 | ||
| National | 17 | 24.3 | ||
| International | 7 | 10.0 | ||
| Attended a nutrition course | 67 | 95.7 | ||
| Consulted with a dietitian/nutritionist | 35 | 50.0 |
Sports nutrition and food knowledge scores and proportion with adequate knowledge status.
| Section | Mean Score (SD), % | Adequate Knowledge Status | |
|---|---|---|---|
|
| % | ||
| All section | 58.6 (10.2) | 31 | 44.3 |
| Macronutrient | 58.7 (13.1) | 34 | 48.6 |
| Carbohydrate | 63.3 (13.8) | 49 | 70.0 |
| Protein | 69.8 (21.8) | 45 | 64.3 |
| Fat | 44.6 (24.3) | 16 | 22.9 |
| Micronutrient | 54.4 (16.0) | 25 | 35.7 |
| Hydration | 58.2 (17.1) | 38 | 54.3 |
| Food intake periodicity | 84.8 (19.4) | 67 | 95.7 |
Responses to sports nutrition and food knowledge questions.
| Section | Question/Scope | Athletes with Correct Answer | Mean Score |
|---|---|---|---|
| (%) | |||
| Macronutrient |
Identifying good food sources of carbohydrates (9 items). | 59.0 | |
|
Should an athlete who wants to lose weight completely eliminate carbohydrates from his/her diet? | 54 (77.1) | ||
|
Are carbohydrates stored in the muscle as glycogen? | 61 (87.1) | ||
| Macronutrient |
Does the muscle use protein as the main energy source during exercise? | 43 (61.4) | |
|
Identifying good food sources of protein (6 items). | 71.2 | ||
| Macronutrient |
Do fats play an important role in the body? | 61 (87.1) | |
|
Do saturated and unsaturated fats have the same impact on health? | 38 (54.3) | ||
|
Identifying foods with a high or low unsaturated fat content (7 items). | 37.2 | ||
| Micronutrient |
How many servings of fruits and vegetables is recommended to eat per day? | 10 (14.3) | |
|
Can the human body get most of its vitamin D from sunlight exposure? | 22 (31.4) | ||
|
Are vitamins and minerals a good source of energy? | 15 (21.4) | ||
|
Identifying good food sources of iron (8 items). | 59.1 | ||
|
Identifying good food sources of calcium (8 items). | 61.6 | ||
| Hydration |
Your athletic performance will decrease if you lose 2% of your body weight (for example, 1.5 kg if you weigh about 75 kg) due to water loss. | 47 (67.1) | |
|
To be well hydrated during sports training, you have to wait until you are thirsty to drink. | 64 (91.4) | ||
|
To fully rehydrate after exercise, you need to drink a volume of liquid greater than the volume of water lost during exercise (which we know by weighing yourself before and after training or competition). | 63 (90.0) | ||
|
Fruit juice is a liquid suitable to drink in the training session and in the middle of the match. | 33 (47.1) | ||
|
Energy drinks like “Red Bull” are recommended for athletes to ingest during exercise. | 31 (44.3) | ||
|
What do you think is the most suitable urine color before training? | 32 (45.7) | ||
|
During intense or prolonged exercise, what is the best way to replace the water that is lost in the form of sweat? | 27 (38.6) | ||
|
The percentage of carbohydrates in an isotonic sports drink. | 29 (41.4) | ||
| Food intake periodicity |
What is the optimum time to eat and drink something for kick-starting recovery after exercise or competition? | 59 (84.3) | |
|
The most important nutrient(s) to ingest after training. | 23 (75.7) | ||
|
Should the last main meal (breakfast, lunch or dinner) be eaten at least 3–4 h before a competition/ exercise? | 66 (94.3) |
Comparison of sports nutrition and food knowledge score based on sociodemographic profiles.
| Mean Score (SD) | ||
|---|---|---|
| Sex | 0.334 | |
| Male | 57.3 (9.2) | |
| Female | 59.7 (11.1) | |
| Body weight status | 0.518 | |
| Normal | 58.3 (10.3) | |
| Overweight/obese | 60.5 (10.2) | |
| Level of study | 0.001 | |
| Diploma | 53.8 (9.1) | |
| Degree | 61.8 (9.8) | |
| Year of study | 0.444 | |
| First-year | 59.2 (10.8) | |
| Second & third-year | 57.2 (9.0) | |
| Sport category | 0.196 | |
| Team sport | 58.3 (9.6) | |
| Skills | 64.0 (11.7) | |
| Athletic | 54.6 (13.2) | |
| Combat sport | 58.1 (5.5) | |
| Racket | 55.4 (6.2) | |
| Level of sport participation | 0.833 | |
| University | 60.4 (9.2) | |
| State | 57.8 (9.6) | |
| National | 59.2 (11.0) | |
| International | 56.9 (14.1) | |
| History of attending a nutrition course | 0.908 | |
| Yes | 58.6 (10.4) | |
| No | 57.9 (7.6) | |
| Consulted with a dietitian/nutritionist | 0.015 | |
| Yes | 55.6 (10.8) | |
| No | 61.5 (8.9) |
Source of reference for sport nutrition information.
| Very Unlikely/Unlikely | Neutral | Likely/Very Likely | |
|---|---|---|---|
| Academician | 1 (1.4) | 12 (17.1) | 57 (81.4) |
| Internet | 5 (7.1) | 21 (30.0) | 44 (62.9) |
| Medical officer | 10 (14.3) | 20 (28.6) | 40 (57.1) |
| Dietitian/nutritionist | 11 (15.7) | 21 (30.0) | 38 (54.3) |
| Friend | 12 (17.1) | 25 (35.7) | 33 (47.1) |
| Journal article | 9 (12.9) | 28 (40.0) | 33 (47.1) |
| Coach/assistant coach | 12 (17.1) | 31 (44.3) | 27 (38.6) |
| Parents | 15 (21.4) | 28 (40.0) | 27 (38.6) |
| Magazine | 13 (18.6) | 32 (45.7) | 25 (35.7) |
Preferred medium for nutrition education program.
| Medium |
| % |
|---|---|---|
| Sports camp | 51 | 33 |
| Video | 44 | 29 |
| Talk | 37 | 24 |
| Brochure/poster | 22 | 14 |