Abstract
Objective(s): The purpose of this study is to find out the relationship between some of the sociodemographic characteristics with anthropometric (BMI), achievement, and eating habits of high school students.
Methodology: The study applies quantitative design, a Descriptive cross-sectional study. The study was initiated on (November 1st, 2021 – August 9th, 2022). The study was carried out in High School in Rania City. We select a random sample of one class in each high school, and we interviewed (246) students in 11 different high schools.
Results: show near the three-quarters percentage of females (71.1%) is higher than the male percentage (28.9%), while near half of them are 17 years old (43.5), 16 years old (39.4%), 18 years old (13.4%), and a lower percentage is 19 years old (3.7). The economic status of near half of students is barely sufficient (48.4%), sufficient (47.2%), and only (4.5%) students are insufficient. Results show that one-third of the students failed the first round (32.9%), and more than two-thirds passed (67.1%). Near a quarter of the samples are underweight (18.7%), and near a quarter of students are overweight and obese (17.5%). These research findings show no significant correlation between academic achievement and body mass index. Shows a significant relationship between skipping breakfast and gender, and between physical activity levels and students’ academic achievement.
Conclusion: The results of the study showed that skipping breakfast affects students' weight, causing weight gains such as overweight and obesity. Also, female students are skipping breakfast more and have better academic achievement than boys. The findings indicate that increasing levels of physical activity of students have a positive effect on their academic achievement.
Full Text
Eating Habits Effects on High School Student’s Achievement in Rania City
¹ Zana Mohammed Ali[1] Barzan Mohammed M.Ameen[2]
1 Academic Nurse, MSc Program Student, College of Nursing, University of Raparin, City of Rania, Kurdistan, Email: zana.muhammed93@gmail.com & zana,ms20p03@uor.edu.krd
2. Assistant Professor, Head of the Fundamentals Nursing Branch, College of Nursing, University of Raparin, City of Rania, Kurdistan, Email: Barzan_43@uor.edu.krd
ABSTRACT
Objective(s): The purpose of this study is to find out the relationship between some of the sociodemographic characteristics with anthropometric (BMI), achievement, and eating habits of high school students.
Methodology: The study applies quantitative design, a Descriptive cross-sectional study. The study was initiated on (November 1st, 2021 – August 9th, 2022). The study was carried out in High School in Rania City. We select a random sample of one class in each high school, and we interviewed (246) students in 11 different high schools.
Results: show near the three-quarters percentage of females (71.1%) is higher than the male percentage (28.9%), while near half of them are 17 years old (43.5), 16 years old (39.4%), 18 years old (13.4%), and a lower percentage is 19 years old (3.7). The economic status of near half of students is barely sufficient (48.4%), sufficient (47.2%), and only (4.5%) students are insufficient. Results show that one-third of the students failed the first round (32.9%), and more than two-thirds passed (67.1%). Near a quarter of the samples are underweight (18.7%), and near a quarter of students are overweight and obese (17.5%). These research findings show no significant correlation between academic achievement and body mass index. Shows a significant relationship between skipping breakfast and gender, and between physical activity levels and students’ academic achievement.
Conclusion: The results of the study showed that skipping breakfast affects students' weight, causing weight gains such as overweight and obesity. Also, female students are skipping breakfast more and have better academic achievement than boys. The findings indicate that increasing levels of physical activity of students have a positive effect on their academic achievement.
Keywords: Eating Habits, High School Students, Students Achievement
Received: 23July 2022, Accepted: 20 September 2022, Available online: 28 January 2023
INTRODUCTION
There has been a global awareness about eating habits among the behaviours that identify a population’s way of life (Riet et al., 2011; Natanael et al., 2016). Some psychological, physiological, economic and sociocultural indications affect eating habit’s constitution (Natanael et al., 2016). Eating habits can be defined as: “conscious, collective, and repetitive behaviours, which lead people to select, consume, and use certain foods or diets, in response to social and cultural influences” (Fen, 2019). Factors which influence eating habits can be summarized as short sleep periods, economic restrictions, stress, limited time, and modifications that are related to the lifestyle (Sogari et al., 2018).
For learners to reach their academic potential, develop physically and intellectually, and experience lifelong satisfaction and strength, they must practice healthy eating habits (Deveci and Ayish, 2017; Ishaq et al., 2020). High consumption of vegetables, fruits, fish, cereals, nuts, and olive oil are indicators of good eating habits. This research has given specific attention to these indicators (Abbasalizad, 2018; Ishaq et al., 2020).
Various aspects play a role in students developing poor eating habits. Among these are past housing arrangements in dorms, skipping meals, dining out frequently, snacking, and fast-food intake (Natanael et al., 2016). Poor eating habits might still be affected by new behaviours and social interactions, which point to indications of eating disorders in some students who, as a result of anxiety, may use the diet as an "escape from reality" for conditions involving mental and physical stress (Natanael et al., 2016). These behaviours may lead to the presence of obesity and overweight, which have reached global alarming levels (Chapman et al., 2012: Ng et al., 2013).
Objectives of the Study
The purpose of this study is to determine the sociodemographic characteristics, assess body mass index, and also, to find out the relationship between some of the sociodemographic characteristics with anthropometric (BMI), achievement, and eating habits of high school students.
Methods
The study applies quantitative design, a Descriptive cross-sectional study. The study was initiated on (November 1st, 2021 – August 9th, 2022). After getting approved by the postgraduate council for the study, and also getting approved by the administering of Rania education, then it would be started to gather data from adolescent students at high school. The study was carried out in High School in Rania City. We select a random sample of one class in each high school, and we interviewed (246) high school students. All students who agreed to participate in the study signed a consent form. The study will use a self-report questionnaire that is divided into three sections: part I will examine the socio-demographic characteristics of high school students, part II will examine the eating habits of high school students, and part III will examine the body mass index of high school students.
Relevancy and adequacy of the questionnaire were done by using panel experts to determine the content validity of the instrument to achieve the present objectives of the study. Statistical analyses were conducted by using the statistical package for social science (SPSS Statistics) version 26.0. Data analysis was employed through the application of descriptive and inferential statistical approaches to achieve the objectives of the study.
Result:
Table (1). Sociodemographic characteristics of sample 246 students.
|
Option |
Freq |
% |
Age(years) |
16 |
97 |
39.4 |
17 |
107 |
43.5 |
|
18 |
33 |
13.4 |
|
19 |
9 |
3.7 |
|
Gender |
male |
71 |
28.9 |
female |
175 |
71.1 |
|
Is it your first year or second year in stage 11th? |
First years |
230 |
93.5 |
second years |
16 |
6.5 |
|
Number of family members |
< 2 |
0 |
0.0 |
2 - 3 |
8 |
3.3 |
|
4 - 5 |
72 |
29.3 |
|
6 - 7 |
122 |
49.6 |
|
8+ |
44 |
17.9 |
|
Economic status |
Insufficient |
11 |
4.5 |
Barely sufficient |
119 |
48.4 |
|
sufficient |
116 |
47.2 |
|
Father educational levels |
Illiterate |
34 |
13.8 |
primary school level |
122 |
49.6 |
|
Secondary school degree |
35 |
14.2 |
|
Diploma degree |
29 |
11.8 |
|
Undergraduate degree |
25 |
10.2 |
|
Higher educational degree |
1 |
0.4 |
|
Mother educational levels |
Illiterate |
97 |
39.4 |
primary school level |
113 |
45.9 |
|
Secondary school degree |
18 |
7.3 |
|
Diploma degree |
14 |
5.7 |
|
Undergraduate degree |
4 |
1.6 |
|
Higher educational degree |
0 |
0.0 |
This table shows near the three-quarters percentage of females (71.1%) is higher than the male percentage (28.9%), while near half of them are 17 years old (43.5), 16 years old (39.4%), 18 years old (13.4%), and a lower percentage is 19 years old (3.7). Most of the students are first years in stage 11 (93.5%), and only (6.5%) the percentage of students are second years in stage 11. The highest percentage of number family members between (6-7) person (49.6%) followed by (4-5) person (29.3%), and the lower percentage is (2-3) person (3.3%). The economic status of near half of students is barely sufficient (48.4%), sufficient (47.2%), and only (4.5%) students are insufficient. Father educational levels of students highly percentage are primary school level (49.6%), secondary school degree (14.2%), illiterate (13.8%), diploma degree (11.8%), undergraduate degree (10.2%), and a lower percentage of father educational levels are higher educational degree (0.4%). While mother educational levels of students highly percentage are primary school level (45.9%), illiterate (39.4%), secondary school degree (7.3%), diploma degree (5.7%), undergraduate degree (1.6%), and a lower percentage of father educational levels are higher educational degree (0.0%).
Table (2). Anthropometric measurement (body mass index) among sample 246 students:
BMI |
Freq |
% |
Cumulative Percent |
<=18.5 |
46 |
18.7% |
18.7 |
18.6-24.9 |
157 |
63.8% |
82.5 |
25-29.9 |
26 |
10.6% |
93.1 |
30-34.9 |
17 |
6.9% |
100.0 |
Total |
246 |
100.0 |
|
This table shows more than half of the samples had normal body mass index (63.8%), near a quarter of the samples are underweight (18.7%), and near a quarter of students are overweight and obese (17.5%).
Table (3): Relationship between gender and academic achievement (Marks) of High school students:
Gender |
Academic achievement (Marks) |
Total |
Mean |
|||||
Fail |
Pass |
Medium |
Good |
Very Good |
Excellent |
|||
male |
33 |
14 |
11 |
4 |
6 |
3 |
71 (29%) |
58.06 |
female |
48 |
35 |
34 |
31 |
19 |
8 |
175 (71%) |
64.69 |
Total |
81 |
49 |
45 |
35 |
25 |
11 |
246 (100%) |
62.78 |
Chi-Square=11.479, d.f.=5, P-Value=0.043 (S) |
|
This table reveals that there is a significant association between gender and the academic achievement (marks) of high school students.
Table (4): Relationship between skipping breakfast and gender of high school students:
Skipping breakfast |
Gender |
Total |
||
male |
female |
|||
|
No |
52 |
86 |
138 |
Yes |
19 |
89 |
108 |
|
Total |
71 |
175 |
246 |
|
Chi-Square=11.908, d.f.=1, P-Value=0.001 (HS) |
This table shows that there is a highly significant association between skipping breakfast and the gender of high school students.
Table (5): Relationship between academic achievement (Marks) and BMI of high school students:
Academic achievement (Marks) |
Body Mass Index |
Total |
|
||||
<18.5 |
18.6-24.9 |
25-29.9 |
>30 |
|
|||
|
Fail |
14 |
52 |
9 |
6 |
81 |
|
Pass |
8 |
33 |
4 |
4 |
49 |
|
|
Medium |
8 |
27 |
7 |
3 |
45 |
|
|
Good |
5 |
25 |
3 |
2 |
35 |
|
|
Very Good |
10 |
13 |
0 |
2 |
25 |
|
|
Excellent |
1 |
7 |
3 |
0 |
11 |
|
|
Total |
46 |
157 |
26 |
17 |
246 |
|
|
Likelihood Ratio =17.432, d.f.=15, P-Value=0.294 (NS) Spearman's rho=-0.059, P-Value=0.360 (NS) |
This table reveals that there is no significant correlation between academic achievement (marks) and the body mass index of high school students.
Table (6): Relationship between skipping Breakfast and BMI of high school students:
Skipping Breakfast |
Body Mass Index |
Total |
|
||||
<18.5 |
18.6-24.9 |
25-29.9 |
>30 |
|
|||
|
No |
28 |
89 |
17 |
4 |
138 |
|
Yes |
18 |
68 |
9 |
13 |
108 |
|
|
Total |
46 |
157 |
26 |
17 |
246 |
|
|
Chi-Square=8.680, d.f.=3, P-Value=0.034 (S) |
This table reveals that there is a significant association between skipping breakfast and the body mass index of high school students.
Table (7): Relationship between levels of physical activity and academic achievement (Marks) of high school students:
physical activity |
Academic achievement (Marks) |
Total |
||||||
Fail |
Pass |
Medium |
Good |
Very Good |
Excellent |
|||
|
Low (Light) |
19 |
11 |
9 |
3 |
2 |
1 |
45 |
Moderate |
48 |
23 |
25 |
14 |
13 |
5 |
128 |
|
Heavy |
14 |
15 |
11 |
18 |
10 |
5 |
73 |
|
Total |
81 |
49 |
45 |
35 |
25 |
11 |
246 |
|
Chi-Square =19.733, d.f.=10, P-Value=0.032 (S) |
This table reveals that there is a significant association between levels of physical activity and academic achievement (marks) of high school students.
Discussion
The results of the study in the table (1) showed that the majority of the sample is 17 years old because the normal age for grade 11 is 17 years old, and 16 years old is high because the sample was taken at the beginning of the year. The 19-year-olds are those who have fallen out of school and the 16-year-olds are those who have entered school earlier than their age. In general, the proportion of women is higher than that of boys, and because of the 11 schools I sampled, 2 were for girls and 1 was for boys. Another major reason is the high number of immigrants in the region in recent years, mostly young boys. The number of families among Muslims in general, and Kurds in particular, is large, which has increased in the past but will decrease in the future due to the economic crisis in Kurdistan. In general, the economic level of the Kurdistan Region is better than that of the Arab regions, so the majority of the sample is good and very good. The level of education in the Kurdistan Region was generally good after the fall of Ba'athist Iraq, the Kurdish people have resumed their education. The Kurdish people have resumed their education. Most of the parents of this generation are illiterate or have completed primary education due to Ba'athist Iraq and the displacement.
Also, table 2 shows that the terms of economy, Kurdistan is not very high or very low compared to other countries, but at the middle level, Therefore, body mass index levels in Kurdistan are mostly normal, while each overweight or obese and underweight levels are less than one-fourth of the sample. Study results in table (3), Females are typically more successful and have better academic achievement than males. Other factors may contribute to male underachievement. females became mature at a younger age (Lim et al., 2015), Additionally, as previously noted, boys tend to receive poorer teacher evaluations than girls for any similar level of aptitude, likely as a result of poorer classroom behaviour, and this can reduce their chances of succeeding in the educational system (Delaney and Devereux., 2021).
Table (4) shows that according to a previous study, girls were in a higher proportion than boys skipping breakfast among adolescents (Matsumoto et al., 2020). Dissatisfaction with one's appearance and the desire to lose weight caused to media pressure and the desire for thinness may be one explanation for this relationship (FIUZA et al., 2017). Table (5) shows that studies involving Asian populations almost reported no relationship between body mass index and student achievement (Jinbo et al., 2018).
Table (6) shows this comprehensive review and meta-analysis of studies that looked at weight change by eating or missing breakfast and concluded that skipping breakfast increases the chance of becoming overweight or obese (Xiumei et al., 2020). These findings indicate that there is a global relationship between overweight and obesity with skipping breakfast (Xiumei et al., 2020). Table (7) shows that academic achievement and physical exercise have a positive relationship, according to several earlier cross-sectional research (Jose et al., 2011).
Conclusion:
In conclusion, from this research findings, it was revealed that there is no statistically significant correlation between the body mass index of high school students and their academic achievement. The findings indicate that increasing levels of physical activity of students have a positive effect on their academic achievement. The results of the study showed that skipping breakfast affects students' weight, causing weight gains such as overweight and obesity. Also, female students are skipping breakfast more and have better academic achievement than boys.
Recommendation:
High school students should eat breakfast regularly and not skip it, to avoid weight gain. Students should pay more attention to physical activity and sports at this age. By nutritional and special unit for observing and monitoring eating habits and physical activity in the high schools.
Reference:
Abbasalizad, F. M., Dehghan, P. & Jahangiry, L. (2018). Mental health problems regarding eating behaviour patterns, nutrient intake and health-related quality of life among Iranian female adolescents. Plos one. 13(4): e0195669.
Chapman, CD. Benedict, C. Brooks, SJ. & Schiöth, HB. (2012). Lifestyle determinants of the drive to eat: a meta-analysis. Am J Clin Nutr. 96(3):492-7.
Delaney, Judith. & Devereux, P. J., (2021): Gender and educational achievement: Stylized facts and causal evidence, UCD Centre for Economic Research Working Paper Series, No. WP21/03, University College Dublin, UCD Centre for Economic Research, Dublin, https://hdl.handle.net/10197/11915
Deveci, T. & Ayish, N. (2017). Engineering Students’ Well–Being Experiences: A Freshman Year Experience Program. Transformative Dialogues: Teaching & Learning Journal.9(3).
FEN. (2019). Eating Habits. Available online: http://www.fen.org.es/blog/habitos-alimentarios/ (accessed on 20 January 2019).
Fiuza, R. Muraro, A. Rodrigues, P. Sena, E. & Ferreira, M. (2017). Skipping breakfast and associated factors among Brazilian adolescents. Revista de Nutrição. https://doi.org/10.1590/1678-98652017000500007
Ishaq, F. Khan, R. & Dar, M. (2020). Assessment of eating habits and knowledge regarding daily nutritional requirements among university students. J Nutr Health Food Eng. 10(1):38‒41. DOI: 10.15406/jnhfe.2020.10.00343
Jinbo, H. Xinjie, C. Xitao, F. Zhihui, C. & Fang, H. (2018). Is there a relationship between body mass index and academic achievement? A meta-analysis. Public Health. https://www.researchgate.net/publication/329732035
Jose, M. Maite, P. Xavier, G. Ana, G. Manuel, G. & Luis-Millán, G. (2011). Relation Between Physical Activity and Academic Performance in 3rd- Year Secondary Education Students. Perceptual and Motor Skills. DOI 10.2466/06.11.13.PMS.113.5.
Khaled, A. A., Abdullah, D. Tariq, A. Bassam. A. & Hassan, D. (2018). The association between body mass index and academic performance. Saudi Med J. doi: 10.15537/smj.2017.2.16320
Lim, S. Han, C.E. Uhlhaas, P.J. & Kaiser, M. (2015). “Preferential Detachment during Human Brain Development: Age- and Sex-specific Structural Connectivity in Diffusion Tensor Imaging (DTI) Data.” Cerebral Cortex, 25, 1477–1489.
Matsumoto, M. Hatamoto, Y. Sakamoto, A. Masumoto, A. & Ikemoto, S. (2020). Breakfast skipping is related to inadequacy of vitamin and mineral intakes among Japanese female junior high school students: a cross-sectional study. Journal of Nutritional Science. doi:10.1017/jns.2019.44
Natanael, J. S., Adelson, J. Oscar, F. & Raquel, M. (2016). Frequency of healthy eating habits among students of a public university in Northeastern Brazil. https://www.researchgate.net/publication/309761746_Frequency_of_healthy_eating_habits_among_students_of_a_public_university_in_Northeastern_Brazil.
Ng, M. Fleming, T. Robinson, M. Thomson, B. Graetz, N. & Margono, C. (2013). Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: A systematic analysis for the global burden of disease study. Lancet. 2014;384(9945):766-81.
Riet, JV. Sijtsema, SJ. Dagevos, H. & Bruijn, GJ. (2011). The importance of habits in eating behavior. An overview and recommendations for future research. Appetite.;57(3):585-96.
Sogari, G. Velez-Argumedo, C. & Gómez, M.I. (2018). College students and eating habits: A study using an ecological model for healthy behavior. Nutrients 10, 1823. [CrossRef] [PubMed]
Xiumei, M. Qing, C. Yueli, P. Man, G. Zongzhe, J. Wei, H. Yang, L. & Yong, X. (2020). Skipping breakfast is associated with overweight and obesity: A systematic review and meta-analysis. Obesity Research & Clinical Practice. https://doi.org/10.1016/j.orcp.2019.12.002