In total, 48.8% of the participants were female, and 51.14% were male. The distribution of participants from different districts is presented in
Table 1. Also, as shown in
Table 2, most participants were active in soccer and futsal (due to the large variety of participants in different sports in this study, sports with less than 10 participants were included in the "others" category).
| Female | Male | Total | % |
|---|
| District 1 of Tehran | 0 | 10 | 10 | 5.74 |
| District 4 of Tehran | 0 | 19 | 19 | 10.91 |
| District 7 of Tehran | 57 | 42 | 99 | 56.89 |
| District 11 of Tehran | 28 | 18 | 46 | 26.43 |
| Total | 85 | 89 | 174 | 100 |
| Sports | Number |
|---|
| Football and futsal | 54 |
| Volleyball | 29 |
| Basketball | 15 |
| Martial arts | 17 |
| Swimming | 10 |
| Others | 36 |
| No answer | 13 |
| Total | 174 |
The highest score was calculated at 73 out of 98, as achieved by a skilled female athlete in track and field, while the lowest score was 21 out of 98, as achieved by a novice male athlete.
The mean total score obtained by the female and male athletes was 55 and 57, respectively. However, no significant differences were observed in the level of knowledge and attitude toward sports nutrition between the male and female students. The feeding score of the male students was significantly higher compared to the females (correlation coefficient = -0.19), which indicated that despite having the same level of knowledge and attitude, the boys had better food choices compared to the girls.
In
Figure 1, the scores of athletes in different sports have been shown; the highest score that participants could get was 98, and the lowest score was 0. The comparison of the obtained scores in different sports indicated no significant difference in the level of sports nutrition knowledge and the sports field of the students (P = 0.12), while a significant difference was observed between the attitude (P = 0.01) and practice (P = 0.006) in various sports. Accordingly, martial arts athletes (mean score: 61.76) had the highest, while swimmers (mean score: 53.7) had the lowest level of sports nutrition knowledge, attitude, and practice.
Average scores of athletes in different disciplines
Our findings indicated no significant correlations between age and sports nutrition knowledge, attitude, and practices. As
Table 3 demonstrates, a significant difference was observed between the athletes in terms of body mass index (BMI). Our calculations showed that the level of sports nutrition knowledge was inversely correlated with the BMI (P = 0.00). Regardless, no significant correlations were denoted between attitude (P = 0.23) and practice (P = 0.38) with BMI.
| BMI | Practices | Attitude | Knowledge | Total Score |
|---|
| BMI | | | | | |
| Pearson's correlation coefficient | 1 | -0.067 | -0.092 | -0.282 a | -0.234 a |
| Sig. (two-tailed) | | 0.387 | 0.231 | 0.000 | 0.002 |
| N | 170 | 170 | 170 | 170 | 170 |
| Practices | | | | | |
| Pearson's correlation coefficient | -0.067 | 1 | 0.093 | 0.246 a | 0.623 a |
| Sig. (two-tailed) | 0.387 | | 0.224 | 0.001 | 0.000 |
| N | 170 | 174 | 174 | 174 | 174 |
| Attitude | | | | | |
| Pearson's correlation coefficient | -0.092 | 0.093 | 1 | 0.224 a | 0.599 a |
| Sig. (two-tailed) | 0.231 | 0.224 | | 0.003 | 0.000 |
| N | 170 | 174 | 174 | 174 | 174 |
| Knowledge | | | | | |
| Pearson's correlation coefficient | -0.282 a | 0.246 a | 0.224 a | 1 | 0.796 a |
| Sig. (two-tailed) | 0.000 | 0.001 | 0.003 | | 0.000 |
| N | 170 | 174 | 174 | 174 | 174 |
a Correlations significant at a significance level of 0.01 (two-tailed).
In the present study, 75.3% of the participants had breakfast every day, 6.9% had breakfast 4 - 6 days a week, 8.6% had breakfast 2 - 3 days a week, 6.9% had breakfast only one day a week, and 2.3% of the participants never had breakfast. In addition, 36.8% of the students had a packed lunch from home at school, 59.2% went home for lunch, 3.4% had lunch provided by the school, and 0.6% bought lunch outside the school. Among the subjects, 90.2% had dinner at home, 7.5% did not have any dinner, and 1.7% chose other options for dinner, while none of the subjects ate out for dinner. Moreover, 89.1% of the subjects had snacks between the main meals, and only 10.9% had no snacks.
Item nine in the questionnaire determined the drink consumed before, after, and during exercise, and the responses indicated that only 52.76% of the athlete students drank appropriate fluids before, after, and during exercise. Moreover, 62% of adolescent athletes had their last pre-workout meal, and 51.14% had their first post-workout meal at the right time. The assessment of the obtained results from item 12 of the questionnaire, which was regarding the foods consumed before and after exercise, indicated that only 42.52% of the adolescent athletes chose appropriate meals to consume before and after exercise. Accordingly, cereals were the meal of choice for a larger number of the subjects (inappropriate choice), while the most correct choice in terms of protein (red meat, fish, and chicken) was also reported by the students.
Figures 2 and
3 depict the consumption of various beverages and the selection of post-exercise and pre-exercise meals.
Food intake selection before or after exercise
According to our findings, the foods and drinks consumed before formal competitions by the adolescent athletes was more important than their consumed meals before a training session. Only 43% of the students considered sports nutrition before a training session to be essential, while 62% considered sports nutrition before a formal competition to be essential. On the other hand, only 27.5% of the adolescent athletes were aware of the exact time of the first meal after a workout, while 51.14% stated that they consumed the first post-workout meal at the right time. In other words, 23.64% of the subjects unknowingly had their post-workout food at the right time, while 53.5% were fully aware of the proper pre-workout and post-workout meals. However, 23.52% had false knowledge in this regard, and 22.98% were not aware of the most proper meals that should be consumed before and after training.
The obtained results also indicated that 41.66% of the subjects were aware of carbohydrates and their role in sports diets, 70.85% were aware of hydration and sports drinks despite their improper drinking habits, and 52.62% of the adolescent athletes had sufficient knowledge of supplements and minerals. Finally, 16.85% of the students had adequate knowledge of proteins and their required dietary amount, as well as their effects on athletic performance. In this regard, the other subjects had inaccurate or partial information.
According to our findings, 70.8% and 69.4% of the male and female students sought nutritional recommendations for exercise, respectively. Furthermore, 41.4% and 55.4% of the female and male students primarily received their nutritional information from their coaches or trainers (48.2% total), as well as nutrition consultants, nutritionists, and sports medicine specialists (
Table 4).
| Information Sources | Books and Magazines | Internet | Sports Organizations | Friends/Teammates | Family /Parents | Coach/Trainer | Other |
|---|
| Total | 16 (8.4) | 60 (31.4) | 28 (14.7) | 21 (11) | 21 (11) | 92 (48.2) | 8 (4.2) |
| Male | 5 (5.4) | 31 (33.7) | 18 (19.6) | 12 (13) | 8 (8.7) | 51 (55.4) | 2 (2.2) |
| Female | 11 (11.1) | 29 (29.3) | 10 (10.1) | 9 (9.1) | 13 (13.1) | 41 (41.4) | 6 (6.1) |
a Values are expressed as No. (%).
Among the participants who responded to items 32 - 39 (71.2% total), 62.6% found the received advice helpful, while 6.9% considered the advice useless, and 30.9% did not respond to this question. In addition, 22.4% of the participants preferred to receive recommendations for weight loss, and the female students were more inclined to lose weight compared to the males. On the other hand, male students were more likely to receive general health advice.
According to the information in
Table 5, the athlete students were more likely to receive their sports nutrition information from coaches, followed by the Internet, information sheets, and informative conversations.
| Sources | Information Sheets | Websites/Links | Informative Conversations | School Magazine | Group Discussions | Coaches | Other |
|---|
| Total | 15 (15.2) | 15 (15.2) | 12 (12.1) | 3 (3) | 10 (10.1) | 41 (41.4) | 2 (2) |
| Male | 12 (13) | 24 (26.1) | 12 (13) | 7 (7.6) | 12 (13) | 46 (50) | 1 (1.1) |
| Female | 27 (14.4) | 39 (21.3) | 24 (13.8) | 10 (5.7) | 22 (12.6) | 87 (42.5) | 3 (1.7) |
a Values are expressed as No. (%).