Nutritional Knowledge among High School Male Students in Kuwait
Received: 06-Sep-2018 / Accepted Date: 25-Sep-2018 / Published Date: 27-Sep-2018 DOI: 10.4172/2161-0711.1000627
Keywords: Kuwait; High school; Nutritional knowledge; Fast food; Calories; Eating habits and Healthy diet
Introduction
During high school, adolescents seem to gradually take over, from their parent, their dietary choices and behaviors. They are not, however, completely ready to do so. In one study, about 30% of high school students showed adequate nutritional knowledge. Those high school students from rural areas showed lower scores. Breakfast and meal skipping were frequent, and meat and its derivatives were high among boys while fruits and vegetables among girls. Uncommon (fad) dieting was higher among girls than boys. Soft drinks consumption was high among boys while girls tended for sweets. Television was the primary source of nutritional information for adolescents. These rather unhealthy eating habits have been found in Europe and the U.S., which confirms the globalization of these unhealthy dietary habits. To counteract their trends, to increase nutritional knowledge and to improve dietary behavior is warranted [1].
Nutritional Knowledge during adolescent years plays a vital role in contributing to the health and well-being of young people and, in this case, high school students. Excessive food intake, even a healthy one may lead to unhealthy conditions, among which is cardiovascular disease. The quality of food consumed by adolescents has been a significant concern for researchers. Adolescents often do not to follow the recommended dietary intake. Their poor food habits may continue into adulthood [2-6].
Several interventions have been undertaken to change the eating habits of adolescents but with limited, if any, success, due, perhaps too limited understanding of the eating habits of children. It has been suggested that dieting interventions must take into consideration the age of the children or adolescents. Appropriate nutritional knowledge among adolescent may help them not becoming victims of poor health and obesity. An intervention study found significant improvements in the eating habits of adolescents and nutritional expertise. After the intervention, the adolescents started drinking milk and eat breakfast, which suggests that dietary interventions improve the nutritional knowledge of the adolescents [7].
The body, of course, needs fruits and vegetables for they are an essential source of vitamins, minerals, and fibers. The latter is a necessary nutrient for the functioning of the gastrointestinal tract; it promotes the movement of food through the track. In recent years, changes in lifestyle and eating habits have been noticeable worldwide, especially among adolescents. Their need is to eat more, as they are growing up, tend to be noticeable. They are more susceptible in their eating behaviors to environmental influences. Eating habits among adolescents tend to be poor, as reflected by their low intake of fruits, vegetables, and milk. This may lead to the possibility of becoming a victim of chronic diseases as their strength of retarding them is low.
Engaging in healthy eating habits during adolescence may be retained until adulthood. Therefore, it is necessary to continually avail adolescents of good eating habits and nutritional knowledge [8]. A study attempted to give high school students a program that provides them with nutritional education, as the latter may promote life-long healthy eating habits. It must be said that few published studies attempted this method, at least in Asian countries [9]. The purpose of the study was to record the nutritional knowledge of Kuwaiti high school male students.
Methods
Kuwait is divided into six governorates. Each has its own school Director, who looks over the running of various levels of schools. This study randomly selected one high school from the several available high schools. From each school, the study randomly picked four classes from the school in each of the six governorates. Each school has a nurse who is also responsible for the looking after the students. Each student was given a questionnaire containing two sections. The first section assessed different socio-demographic and health-related characteristics as shown in Table 1.
Factors | Frequency n (%) |
---|---|
Age | |
£ 15 | 199 (37.0) |
16 | 127 (23.6) |
17 | 121 (22.5) |
≥ 18 | 90 (16.7) |
Governorate | |
Capital | 105 (19.5) |
Hawally | 102 (19.0) |
Farwaniya | 96 (17.8) |
Ahmadi | 85 (15.9) |
Jahra | 79 (14.7) |
Mubarak Alkabir | 70 (13.1) |
High school subjects | |
Science | 288 (53.6) |
Non-science | 249 (46.4) |
GPA (Current) | |
Low | 189 (35.2) |
Medium | 201 (37.4) |
Top | 147 (27.4) |
BMI (body mass index, kg/m2) | |
Normal | 302 (56.2) |
Overweight | 140 (26.1) |
Obese | 95 (17.7) |
Dental status | |
Healthy | 367 (68.3) |
Unhealthy | 48 (8.9) |
Treated | 122 (22.7) |
Parents obese | |
None | 339 (63.1) |
Father | 74 (13.8) |
Mother | 86 (16.0) |
Both | 38 (7.1) |
Table 1: Socio-demographic and health-related factors among high school male Kuwaiti students (n=537).
The second section included 39 right/false type questions on nutritional knowledge. The items evaluated NK on different dietary domains, including vitamins/minerals, fibers, fat, weight loss diet, protein, cholesterol, sodium, carbohydrates, and caloric/food intake. A few modifications were made including omitting a question that assessed knowledge of alcoholic beverages and omitting the word pork from another problem. These modifications were necessary since Kuwait has an Islamic population in which consumption of alcohol and pork meat is prohibited. After completing the questionnaire, height and weight were measured for the participants.
An overall nutritional knowledge score was calculated based on the number of correct answers to questions regarding the nutritional knowledge. All items were equally weighted (0=incorrect or missing answer, 1=correct answer). The highest possible score was 39. Those with a percentage of accurate knowledge more senior than the median, overall nutritional knowledge score of the sample were labeled as having a high overall nutritional understanding. Dietary knowledge scores on the different nutritional domains were calculated. The scores were expressed in percentages.
Categorical variables were described using numbers and percentages. Overall nutritional knowledge and specific nutritional domains knowledge scores were described using mean and 95% CI. Spearman correlation was used to find the association between different nutritional domain scores.
However, before assessing the relationship between domain scores, shared questions were excluded, to avoid creating inaccurate associations. Stepwise binary logistic regression was used to identify associated factors of high overall nutritional knowledge score (more significant than median).
The level of significance was set at α<0.05 (two-tailed). A p-value of<0.05 was considered statistically significant. Data analyses were done using the Statistical Package for Social Sciences, (IBM SPSS Statistics 24, IBM Corporation, Armonk, NY, USA 2015).
Results
Table 1 shows the frequency distribution of the socio-demographic data of nutritional knowledge among high school male Kuwaiti students. The total sample size is 537. The usual age range among high school students is from 14-18 years. We have divided the age into four groups (≤ 15-17 and ≥ 18 years).
As there are six governorates in Kuwait. The frequency distribution is shown in the table with a maximum number of cases from Capital and Hawally governorates respectively. The other factors like BMI, dental status, parent's obesity, high school GPA, subjects, dietary habits, and some other factors are also listed.
Table 2 shows the association of high overall nutritional knowledge score with significantly associated factors using stepwise binary logistic regression. Adjusted OR with 95% confidence interval are shown in the table.
Factors | Frequency n (%) |
---|---|
#Meals | |
1 | 15 (2.8) |
2 | 149 (27.7) |
3 | 373 (69.4) |
Eats between meals | |
Yes | 224 (41.7) |
Sometimes | 233 (43.4) |
No | 80 (14.9) |
Dieting | |
Yes | 74 (13.8) |
I Was | 61 (11.3) |
No | 402 (74.9) |
Father’s education | |
Illiterate/ Primary | 37 (6.9) |
Inter/Secondary | 154 (28.7) |
College/ University | 346 (64.4) |
Mother’s education | |
Illiterate/ Primary | 74 (13.8) |
Inter/Secondary | 171 (31.8) |
College/ University | 292 (54.4) |
Physical activity | |
Yes | 420 (78.2) |
No | 117 (21.8) |
Nutritional knowledge (Self-reported) | |
Poor | 95 (17.7) |
Good | 344 (64.0) |
Excellent | 98 (18.2) |
Table 2: Significantly associated factors with high overall nutritional knowledge score among high school male Kuwaiti students, using stepwise logistic regression (n=537).
Table 3 shows the mean scores of overall nutritional knowledge as well as nutritional knowledge on different nutritional domains (Sodium, Carbohydrates, Vitamins/minerals, Calories/food intake, weight loss diet, fat, fibers, protein, and cholesterol). The mean overall nutritional knowledge score was 53.2. The highest mean nutritional domain score was for fibers (58.2), followed by protein (56.7) and fat (55.4) respectively. The least mean nutritional domain score was for sodium (39.3).
Question on | The number of questions used in the score calculation | Knowledge score (%) Mean (95% CI) |
---|---|---|
Overall knowledge | All questions | 53.2 (52.5-53.9) |
Sodium | 16, 32 | 39.3 (36.2-42.4) |
Carbohydrates | 18, 21, 37 | 48.6 (46.3-50.9) |
Vitamins/minerals | 2, 3, 11, 24, 25, 27, 31 | 54.6 (53.1-56.0) |
Calories/food intake | 9, 19, 21, 29, 36, 37, 38 | 51.5 (49.9-53.1) |
Weight loss diet | 4, 12, 18, 26, 34 | 48.6 (46.7-50.4) |
Fat | 8, 12, 13, 15, 21, 29, 35 | 55.4 (53.7-57.0) |
Fibers | 6, 17, 30 | 58.2 (55.9-60.5) |
Protein | 7, 14, 24, 33 | 56.7 (54.5-58.9) |
Cholesterol | 10, 13, 20, 22, 28, 39 | 50.8 (49.1-52.5) |
Table 3: Percentages of the correct response on the overall nutritional knowledge and specific nutritional domains among high school male; Kuwaiti students (n=537).
Table 4 summarizes the correlation between nutritional knowledge scores of different nutritional domains. A significant medium correlation was observed between calories/food intake and carbohydrates domains (rs=0.428, p<0.001). Nutritional knowledge of fibers domain was significantly associated with sodium, fats, and calories/food intake domains, but the correlation coefficient was low only. Also, there was a significant weak correlation of cholesterol with sodium domains.
Nutrient score | Carbohydrates | Vitamins/minerals | Calories/food intake | Weight Loss diet | Fats | Fibers | Proteins | Cholesterol |
---|---|---|---|---|---|---|---|---|
Sodium | -0.035 | -0.042 | -0.023 | 0.026 | -0.026 | -0.142** | 0.017 | -0.134** |
Carbohydrates | - | -0.043 | 0.428** | 0.05 | -0.049 | -0.018 | 0.033 | -0.014 |
Vitamins/minerals | - | - | -0.075 | 0.02 | 0.027 | 0.026 | 0.102* | 0.055 |
Calories/food intake | - | - | - | 0.053 | 0.067 | 0.108* | 0.110* | 0.034 |
Weight loss diet | - | - | - | - | 0.005 | -0.039 | 0.036 | -0.058 |
Fats | - | - | - | - | - | 0.124** | 0.028 | 0.203** |
Fibers | - | - | - | - | - | - | 0.048 | 0.094* |
Proteins | - | - | - | - | - | - | - | 0.04 |
*Spearman Correlation Coefficient, **Correlation Coefficient, and p-value were calculated after excluding overlapping questions. |
Table 4: Correlations between knowledge on different nutritional domains among high school male Kuwaiti students (n=537).
Discussion
There is almost an agreement between numerous studies that the fruit and vegetable consumption among males is low but females fair better than males. The consumption of fat among males is rather high, and their healthy intake of nutrients is low. In general, their nutrient density is low. As adolescents grow older, their nutrient density gets low, their freedom of choosing the food they want goes up. For them, convenient sources of foods, like fast food, are easier to consume than rather structured home-cooked food. They tend to shy away from the parental supervision of the foods they should consume. However, consistent supervision and advice from parents may produce some positive results for the consumption of healthy food [10,11].
There is no doubt about it that adolescents need nutritional education. There are limited pre and post-intervention studies. In one study, researchers found positive results after the intervention. Despite the study's short duration, fruits and vegetables increased, and sweet intake decreased among females. Among males, there was a noticeable decrease in the consumption of soft drink and an increase in the absorption of fruits and vegetables. Moreover, the study positively sensitized the students to healthy eating [11].
Several publications concluded that female high school students were better than males in the areas of educated identification of food groups, and which foods contained vitamins and mineral. Their nutritional knowledge is better than men. As, perhaps, right, with previous studies, rural students fair less in their nutritional expertise than urban ones. This may not mean that rural student’s eating habits are less nutritious than urban ones. The settings for each group are different. It is likely that rural students may have more tendency to eat home-cooked meals than urban students. City life of nearby areas fast food outlets may entice students to partake of junk food sold by fast food outlets. Sugars and sweets were higher among males than females, but the intake of fruits and vegetables was more among women than boys [12].
Nutritional Knowledge may improve the quality of food intake among adolescents. In most cases, if not all, interventions to promote the food intake of adolescents is necessary. It should improve the consumption of fruits and vegetables, especially among males. Nutritional interventions may change the eating behaviors of adolescents, especially since they are in a period of growth. Learning about better eating habits early on may extend to adulthood. If adolescent girls showed less favorable attitude toward foods, especially healthy ones, it might be because of the preoccupation of remaining slim and fighting the chance of being overweight or obese. Some students, especially females, tend to eat correctly not because of increased nutritional knowledge but because they are emulating the eating habits of their parents. There is also a tendency among the older adolescents to be independent in choosing his/her own foods, while younger adolescents are more likely to follow the pattern of eating off their parents [13].
Conclusion
Nutritional Knowledge of Kuwaiti high school students was not only low but also may lead to unhealthy futuristic prospects.
References
- Milosavljevic D, Mandic ML, Banjari I (2015) Nutritional knowledge and dietary habits survey in a high school population. Coll Antropol 39: 101-107.
- Story M, Sztainer DN, French S (2002) Individual and environmental influences on adolescent eating behaviors. J Am Diet Assoc 102: 540-551.
- Gregory JR, Smithers G, Bates CJ, Prentice A, Jackson LV, et al. (2000) National diet and nutrition survey: Young people aged 4-8 years. Nutr Bull 25: 105-111.
- Lien N, Lyle LA, Klepp KJ (2001) Stability in consumption of fruit, vegetables, and sugary foods in a cohort from age 14 to age 21. Prev Med 33: 217-226.
- Lyle LA, Seifert S, Greenstein J, McCovern P (2000) How children do eating patterns and food choices change over time? Results from a cohort study. Am J Health Promot 14: 222-228.
- Shephar J, Harden A, Rees R, Brunton G, Garcia J, et al. (2006) Young people and healthy eating: A systematic review of research on barriers and facilitators. Health Edu Res 21: 239-257.
- Watson LC, Kwon J, Nichols D, Rew M (2009) Evaluation of the nutritional knowledge, attitudes, and food consumption behaviors of high school students before and after completion of a nutritional course. Family Consumer Sci Res J 37: 523-534.
- Silva OO, Ayankogbe OO, Odugbemi TO (2017) Knowledge and consumption of fruits and vegetables among secondary school students of Obele Community Junior high school, Sunil here Lagos state, Nigeria. J Clin Sci 14: 68-73.
- Rani MN, Shriraam V, Zachanah R (2012) Does a nutrition education programme change the knowledge and practice of healthy diets among high school adolescents in Chennai, India? Health Educ J 22: 1-8.
- Rache H, Umma V, Detroit L (2014) Development of food knowledge test for first-year students at a university of technology in the Western Cape, South Africa. J Fam Ecol Conum 42: 28-32.
- Oldewage-Theron WH, Egal AA (2010) Nutritional knowledge and nutritional status of primary school children in QwaQwa, South Africa. J Clin Nutr 23: 149-154.
- Paykari N, Tehrani FR, Eftekari MR, Malekafzali H, Dejman M, et al. (2011) A year-based study on adolescents nutritional health. A lesson learned from Iran. J Pak Med Assoc 61: 549-554.
- Thelen MH, Cormier JF (1996) The desire to be thinner and weight control among children and their parents. Behar then 26: 85-99.
Citation: Al-Isa AN (2018) Nutritional Knowledge among High School Male Students in Kuwait. J Community Med Health Educ 8: 627. DOI: 10.4172/2161-0711.1000627
Copyright: © 2018 Al-Isa AN. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Share This Article
Recommended Journals
Open Access Journals
Article Tools
Article Usage
- Total views: 5955
- [From(publication date): 0-2018 - Nov 23, 2024]
- Breakdown by view type
- HTML page views: 5302
- PDF downloads: 653