Dietary Habits, BMI, and demographic characteristics affect the Academic Performance of University Students in Saudi Arabia: A cross-sectional study

doi:10.21203/rs.3.rs-140038/v1

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Dietary Habits, BMI, and demographic characteristics affect the Academic Performance of University Students in Saudi Arabia: A cross-sectional study

https://doi.org/10.21203/rs.3.rs-140038/v1

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posted 07 Jan, 2021

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Background

Students' academic performance remains one of the ongoing topics of debate among educators, academicians, and policy-makers. We aimed to assess the effect of dietary habits, demographic characteristics, and body mass index (BMI) on academic performance.

Method

: An epidemiological, cross-sectional, retrospective study design was conducted. Data were collected from 385 full-time, Saudi undergraduate students at Taibah University aged between 18–24 years old. Students were asked about their breakfast, fast food, and soft drink consumption, and their daily number of meals. Information about their gender, residence in hostels, and smoking status were obtained. Grade point average (GPA) was used to assess academic performance. BMI was also calculated. All statistical analyses were performed using the SPSS software program version 20.

Results

More females (n = 290; 75.3%) than males were included. High academic performers were non-smokers (P < 0.0005) and didn't stay in hostels (P = 0.026). BMI associated negatively with academic performance. Females had better academic performance (95%) compared to males (58%, P < 0.0005), GPA (2.72 vs 3.53, P < 0.0005 respectively), lower number of meals (Mean: 2.31 vs 1.99), and low prevalence of overweight/obesity (43% vs 30%).

Conclusion

Nutrition education programs targeting Taibah University students are to be developed to raise awareness about the importance of healthy eating and normal body weight.

Nutrition & Dietetics

Dietary Habits

Demographic characteristics

BMI

Academic Performance

University Students

Al Madinah Al Munawarah

Saudi Arabia

Students' academic performance remains one of the ongoing topics of debate among educators, academicians, and policy-makers[1]. The academic performance of college students affects their future occupational success and health. Studies indicate that dietary behaviors and practices are among the essential factors which can predict the academic performance of college students^[2]. A healthy dietary pattern rich in whole grain cereals, fruits, and vegetables can lead to better cognitive function, improved memory, better test grades, and school attendance thus leading to an overall better academic performance[3].

Over the last decade, dietary habits have changed in Saudi Arabia due to the diverse ethnic backgrounds[4]. People have become more likely to consume western food rich in saturated fat, refined cereals, low in fruit and vegetables[5]. As well documented in the literature, unhealthy dietary habits may lead to weight problems as presented by the increased prevalence of obesity in the country[6, 7]. The National Nutrition Survey ranked Saudi Arabia as number 15 worldwide for its prevalence of obesity, with an overall obesity rate of 33.7%[7]. Obesity and unhealthy dietary pattern have been associated with an increased risk of various health problems, including metabolic syndrome, Type 2 diabetes mellitus, cardiovascular disease[8], and low academic performance[2].

Moreover, a study conducted in India revealed that female students and those who stayed in hostels had better academic performance compared to their counterparts[9, 10]. While the number of observational studies in this area is growing, studies are predominantly from the USA, the UK and Europe. Very few studies had investigated the association between dietary habits, BMI, demographic characteristics, and academic performance in college students in the KSA in general and in Al Madinah Al Munawarah specifically. Dietary habits were shown to affect the academic performance of college students in Riyadh. In that study, there was a significant association (P < 0.0001) between academic performance and dietary pattern leading to instability amongst students, lack of concentration, and inability to work during the day[11]. Also, inadequate adherence to a healthy diet such as the Mediterranean diet[12], high intake of fast food[13–15], sugar-sweetened drinks^[16,17] and irregular breakfast consumption[18] may negatively affect students' academic performance.

Several factors affect the academic performance of university students. The present study aimed to answer the following research question: Is the academic performance of university students affected by demographic characteristics, dietary pattern and body mass index? We hypothesized that unhealthy dietary habits and obesity are associated with low academic performance. We also hypothesized that being a female and living in hostels are associated with high academic performances.

Study Design:

An epidemiological, cross-sectional, retrospective study design was followed to fulfil the study aim. Data were collected at the beginning of the first semester of the academic year 2019-2020. This was done to avoid busy times before and/or during exams. The sample size was determined based on a 95% power of the study, a two-tailed significance level of 0.05, and a z-value of 1.96. The following equation was used:

(Z-score)² * StdDev*(1-StdDev) / (margin of error)²

Thus, the minimum sample size should be 385 students.

Participants

Five hundred male and female students were recruited from various Colleges at Taibah University, Al Madinah Al Munawarah, Saudi Arabia. The inclusion criteria were full-time, Saudi undergraduate students, aged between 18-24 years old, not suffering from chronic diseases such as hypertension, diabetes mellitus, not pregnant, nor lactating and not following a dietary regimen at the time of the study. Since randomization will help to reduce selection bias and give a chance for all participants to be included in this study, a list of the different colleges was obtained from the official website of Taibah University (www.taibahu.edu.sa). This method will further assure the representativeness of the data obtained. The required number of participants was selected proportionally according to the total number of students in each college. Colleges with a large number of students such as the College of Education, a higher proportion of students were selected from it.

Data collection

Recruited participants completed a screening questionnaire that included background information such as age, pregnant or not, lactating, and the presence of any chronic diseases. Those who fulfilled the inclusion criteria were further invited to proceed with the study. A self-report questionnaire was used to collect data from students about demographic characteristics, including age range (18-20 and 21-24 years), gender, smoking habits (smokers, non-smokers, and ex-smokers), and residence in hostels (non-hostels, hostels). Students were asked about their current GPA as a measure for their academic performance. A similar method for determining academic performance was previously reported[19]. The grades were then divided as low academic performers (GPA ≤2.99) and high academic performers (GPA ≥3.00). Respondents were given instructions on how to fill out the questionnaire, which was then checked for completeness. It is important to note that the students were not compensated for their voluntary participation.

Weight was measured twice using OMRON - Body Fat Scales (BF508l, China) after calibration. Students were asked to remove heavy clothes, shoes and accessories and readings were taken to the nearest 0.1g. Portable stadiometer (SECA-213 model, Germany) was used after calibration to measure height twice. Students removed their shoes and anything on the head that might affect the measurement.

Furthermore, for the assessment of dietary habits, students were asked to recall specific information about their intake during the previous seven days. Information was noted about the number of meals consumed, and results were grouped as 1-2 meals or ≥ 3 meals per week. Their consumption of breakfast was assessed, and results were presented as daily, 0-2 times a week, or 3-5 times a week. Moreover, the frequency of consuming fast foods (more than once daily, 0-2 times a week, or 3-5 times a week) and soft drinks (more than once daily, 0-2 times a week or 3-5 times a week) was determined. The questionnaire was pretested for clarity, and minor modifications were carried out accordingly.

Ethical approval was obtained from the committee of research ethics at Taibah University (TUCDREC/20180420/ JALLOUN). Written informed consent was sought from each student before the start of the survey.

Statistical analysis

Data were coded numerically and transferred to the Statistical Package for Social Sciences (SPSS Ins., Chicago, IL, USA) version 20. Frequency and percentage were used to present the demographic characteristics. Descriptive statistics such as the means and standard deviations were calculated for continuous variables. Independent student's t-test was used to test the differences between the dependent variable (academic performance) and the independent variables. It was also used to determine the differences between male and female students. Pearson's correlation was used to determine the relationship between variables. Multiple Regression Model was used to determine the factors that affected academic performance based on significance and confidence intervals (CI). Statistical significance was set at <5%.

In the first part of the result section, findings are presented based on the academic performance of students. In the second part, results are grouped based on gender differences.

Part I:

Demographic characteristics

Out of the 500 students screened, 400 met the inclusion criteria. Of these, ten refused to participate, and five had missing data and thus excluded from the study. The overall response rate was 77%. Completed data was obtained from 385 undergraduate students aged 18-24 from different colleges. Half of them aged 18-20 years and 95 (24.7%) were males. Students (n = 55, 14.3%) had low academic performance (GPA ≤ 2.99) compared to high performers (GPA ≥ 3.00, n = 330, 85.7%). Few students were smokers (n = 69, 18%) who were mostly males, and only 19 (5%) of the students stayed in hostels. Results also showed that few female (n = 15, 4%) students had low academic performance compared to their counterparts (n = 40, 14%, P < 0.0005). Besides, most of the high performers were non-smokers and did not stay in hostels (Table 1).

Table 1: Demographic characteristics of Taibah University students based on their academic performance as defined by GPA. The total number of students is 385. Number (%) are shown
	GPA ≤ 2.99 n (%)	GPA ≥ 3.00 n (%)	P-value*
Gender			<0.0005
Males	40 (72.7)	55 (16.7)
Females	15 (27.3)	275 (83.5)
Age (years)			0.172
18-20	23 (41.8)	171 (51.8)
21-24	32 (58.2)	159 (48.2)
Smoking status			<0.001
Smokers	22 (40)	47 (14.2)
Non-smokers	33 (60)	283 (85.8)
Residence in hostels			0.026
Non-hostels	47 (85.5)	319 (96.7)
Hostels	8 (14.5)	11 (3.3)

*P-value was obtained using Independent Student t-test. Most of the high academic performers were females, aged 18-20 years, were non-smokers and did not stay in hostels.

Anthropometric measurements:

The mean BMI of students was within the normal range, and there were no significant differences between low (24.0 ± 5.6 Kgm^-2) and high academic performers (23.0 ± 5.0 Kgm^-2, P = 0.253). The distribution of BMI amongst high and low academic performers is presented in Figure 1.

Dietary pattern:

Overall, there were no significant differences between high and low academic performers regarding their dietary patterns (Table 2). Students (n = 273, 71%) reported having on average, two meals daily during the previous week and consumed fast foods 0-2 times/week. Besides, 308 students (80%) consumed soft drinks 0-2 times/week. Daily breakfast consumption was reported by few students (n = 150, 39%) only (Results not shown in Table 2).

Table 2: The dietary habits of Taibah University students based on their academic performance as defined by GPA. The total number of students is 385. Number (%) are shown.
	GPA ≤ 2.99 n (%)	GPA ≥ 3.00 n (%)	P-value*
Number of meals
Mean (SD)^a	2.05 (0.9)	2.07 (0.9)	0.89
1-2 meals daily	42 (76.4)	231 (70)
>3 meals daily	13 (23.6)	99 (30)
Frequency of Fast food consumption			0.397
0-2 times/week	41 (74.6)	233 (70.6)
3-5 times/week	12 (21.8)	75 (22.7)
Daily	2 (3.6)	22 (6.7)
Consumption of Soft drinks			0.116
0-2 times/week	10 (18.2)	267 (80.8)
3-5 times/week	5 (9.1)	36 (11)
Daily	40 (72.7)	27 (8.2)
Consumption of Breakfast			0.471
0-2 times/week	24 (43.7)	148 (44.8)
3-5 times/week	13 (23.6)	49 (14.9)
Daily	18 (32.7)	133 (40.3)

*P-value is obtained using Independent Student t-test. ^aGeometric mean, SD= standard deviation

Multiple Regression:

Academic performance was significantly affected by gender. Females had better performance than their counterparts (Table 3). Residence in hostels affected the academic performance negatively; those who resided in their homes had a better academic performance. Besides, BMI affected the performance negatively; those with higher BMI values had low performance.

Table 3: Factors affecting the academic performance of students at Taibah University
Factors	B	SE	Beta	95% CI	P-value
Gender	0.331	0.041	0.408	0.250 to 0.412	<0.0005
BMI	-0.093	0.029	-0.243	-0.150 to -0.037	0.001
Residence in hostels	-0.171	0.076	-0.106	-0.320 to -0.022	0.024

R² = 0.264; R = 0.513; Multiple Regression model was used with GPA being the dependent variable. Gender, BMI, and residence in hostels significantly affected the academic performance of Taibah University students.

Part II:

Gender differences

Gender was one of the factors that affected academic performance. Independent Student t-test revealed that there were statistical differences between male and female students in their academic performance, selected demographics characteristics, BMI, and dietary habits. Females had higher academic performance, were mostly non-smoker, and did not reside in hostels compared to their counterparts (Table 4). Half of the females had normal weight and consumed a few numbers of meals daily. Fast-food consumption was not a common practice among female students. Also, more male students were overweight and/or obese (43%) than females (30%, P = 0.049).

Table 4: Demographic characteristics, BMI, and dietary pattern of Taibah students. The total number of students is 385. Number (%) are shown.
	Males (n = 95)	Females (n = 290)	P-value^*
Accumulative GPA for the last semester
Mean (SD)^a	2.72 (0.8)	3.53 (0.6)	<0.0005
≤ 2.99	40 (42)	15 (5.2)
≥ 3.00	55 (58)	275 (94.8)
Number of meals
Mean (SD)	2.31 (1.0)^§	1.99 (0.8)	0.006
1-2 meals daily	60 (63.2)	213 (73.4)
>3 meals daily	35 (36.8)	77 (26.6)
Frequency of Fast food consumption			<0.0005
0-2 times/week	58 (61.0)	216 (74.5)
3-5 times/week	30 (31.6)	57 (19.5)
Daily	7 (7.4)	17 (6.0)
Residence in hostels			<0.0005
Non-hostels	83 (87.4)	283 (97.6)
Hostels	12 (12.6)	7 (2.4)
Smoking status
Smokers	42 (44.2)	27 (9.3)	<0.0005
BMI classification (Kgm^-2)
Mean (SD)^a	24.2 (5.4)^§	22.8 (5.0)	0.049
Underweight	15 (15.8)	57 (19.7)
Normal	39 (41.1)	147 (50.7)
Overweight	29 (30.5)	62 (21.4)
Obese^b	12 (12.6)	24 (8.3)

^*P-values are obtained from Independent Student t-test. Only significantly different parameters are shown. ^aGeometric mean, SD= standard deviation; ^bObese refers to BMI ≥30 Kgm^-2.

Table 5: Gender differences based on academic performance, demographic characteristics, and dietary pattern at Taibah University
Factors	B	SE	Beta	95% CI	P-value
GPA	0.445	0.055	0.361	0.336 to 0.553	<0.0005
Smoking status	0.314	0.049	0.279	0.217 to 0.411	<0.0005
Residence in hostels	-0.207	0.087	0.139	-0.379 to 0.035	0.018
Number of meals	-0.064	0.014	-0.13	-0.105 to -0.024	0.002
Fast-food consumption	0.045	0.014	0.139	0.018 to 0.073	0.001

R² = 0.350; R = 0.592; Multiple Regression model was used with gender being the dependent variable. The GPA, smoking status, residence in hostels, number of meals, and fast food consumption were significantly different among Taibah University students.

Among females, Pearson's correlation showed that GPA correlated positively with the number of meals consumed daily (r = 0.13, P = 0.029). Females' BMI increased with increasing soft drink (r = 0.16, P = 0.008) and fast food consumption (r = 0.13, P = 0.03). On the other hand, the dietary pattern of male students did not affect their academic performance. Males' BMI negatively affected their performance (r= -0.24, P = 0.02). Multiple Regression model indicated that there were gender differences in terms of their academic performance, smoking status, housing status, number of meals, and fast food consumption (Table 5).

Unhealthy eating habits have been associated with poor academic performance and could affect the overall health status of college students[20–21]. Little is known about the effect that dietary pattern, weight status, and demographic factors have on the academic performance of university students in Saudi Arabia in general and in Al Madinah Al Munawarah specifically. Determining the effect of these factors will help to develop appropriate nutritional programs that could improve the health status and eventually, the academic performance of these students.

In this study, we assessed the effect of dietary pattern, BMI and demographic characteristics on students' academic performance. The current study hypothesized that being a female and staying in hostels improve performance. It was further hypothesized that unhealthy dietary pattern and obesity are associated with low academic performance. Through a structured questionnaire and measured anthropometrics, the researchers found that female students had higher GPAs than their counterparts. Our findings were consistent with a study conducted at Peshawar University in Pakistan, where females had high marks and performed much better than males²². Indian female students from the Adichunchanagiri Institute of Medical Sciences also had higher academic performance than males. Similar justifications for better performance as in the current study were noted[23].

On the contrary, a previous study demonstrated that Pakistani male students at the University of Sargodha worked harder and studied more than female. The academic performance of the Pakistani males was related to their socio-economic status[24]. The Pakistani female students regularly attended their lectures and were very keen with their studies. This justification is similar to the comments of lecturers at Taibah University: "Female students are highly motivated and hard workers compared to their counterparts".

Moreover, our study revealed that students who stayed in hostels had lower academic performances compared to their counterparts; thus, the study hypothesis is rejected. The hostels are outside the university campus and could be a source of stress to students since they have to stay away from their families[25]. For some, this might be their first time to leave their homes and live with strangers. Also, living with a family might have positive emotional stability, increased the time spent on studying, more parental control and thus performing better at university. A study conducted on 400 Nigerian students demonstrated that students who stayed on off-campus housing had low academic performance[26]. That was related to the distance between the campus and the university and the difficulty of transportation. The findings of our study were not in consistence with an Indian study on 289 medical students. That study revealed that higher academic performers stayed in hostels[10]. Also, hostels' residence affected academic performance among Sri Lankan's final year students[9]. This effect depended on the overall environment and the facilities available in the hostels. We think this is also the case in our study, in that the status of hostels, their readiness to accommodate students etc. have all impacted students' performance negatively.

Furthermore, the relationship between BMI and academic performance was affected by gender; males' BMI negatively affected their performance. As such, the study hypothesis is accepted. Previous studies revealed that GPA is negatively associated with BMI. For instance, in a systematic review which included 60 studies, He and co-workers concluded that there is a weak negative association between BMI and academic performance[27]. Our study findings are consistent with the study, which included American students (n = 57). In that study, students with high BMIs also had lower GPAs[28]. Contradictory to our findings, academic performance at the University of Kelaniya in Sri Lanka, positively associated with BMI. The possible justification for this positive relationship could be because of the high prevalence of normal-weight students (77.5%)[13].

The higher fast-food consumption among male students might be one of the causes for their increased BMI. In the study by Alfawaz (2012), there was no association between BMI and fast food consumption among Pakistani female students[29], indicating that other risk factors correlate with the BMI in that study. Consistent with our findings, Shatabdi and co-workers reported that among 426 Bangladeshi students aged 18–24 years, fast-food consumption is linked with obesity risk[30, 31].

The study has some limitations that need to be taken into consideration. The recall method used to assess the dietary pattern has the risk of over-or-underreporting consumption and the effect of depending on the memory. It would have been better to use other methods such as keeping repeated food diaries. However, it was not possible due to the busy schedule of students. If time permits, a detailed dietary pattern will also be determined to know their macro-and micro-nutrient consumption. Also, other factors affecting academic performance, such as psychological and mental health status, the severity of food security and quality of life, need to be studied. Although the sample size is relatively small, however, it is representative of the students' population at Taibah University and meets 95% confidence.

In conclusion, the factors affecting the academic performance of college students need more focus. The current study is considered the first type of study to focus on the demographic characteristics, BMI and dietary pattern of Taibah University students and their association with academic performance. It is well designed and included both male and female students. The study showed that high performers were mostly females, non-smokers and did not stay in hostels. There were gender differences in that male students consumed more meals, were smokers, stayed in hostels and were obese. We recommend the development of a nutrition education program targeting Taibah students to increase their awareness about the importance and content of a healthy dietary pattern, smoking cessation, and ideal body weight. It is also essential to determine the key factors which face students staying in hostels since we found that most of them had a low academic performance.

Ethics approval and consent to participate

Consent for publication

We hereby give our consent for Nutrition to publish our project

Availability of data and materials

Data is available upon request

Competing interests

No competing interests

Funding

This research received no specific grant from any funding agency, commercial or not-for-profit sectors.

Authors' contributions

Rola A. Jalloun: Developing the questionnaire, writing the introduction, and the methodology sections of the manuscript

Ahlam Badreldin El Shikieri: Revising the questionnaire, data analysis, writing the result, and discussion parts of the manuscript

Acknowledgements

The authors wish to thank the students for their enthusiastic participation in the study and the data collectors who helped in data collection.

Kassarnig V., Mones E., Bjerre-Nielsen, A. et al Academic performance and behavioral patterns. EPJ Data Sci. 2018;7(10). https://doi.org/10.1140/epjds/s13688-018-0138-8
Wald, A., Muennig, P. A., O'Connell, K. A. & Garber, C. E. Associations between healthy lifestyle behaviors and academic performance in U.S. undergraduates: A secondary analysis of the american college health association's national college health assessment ii. J. Heal. Promot 2014;28(5):298-305.doi:10.4278/ajhp.120518-QUAN-265.
Valladares M., Durán E., Matheus A., et al. Association between Eating Behavior and Academic Performance in University Students. Am. Coll. Nutr. 2016;35:8,699-703. doi:10.1080/07315724.2016.1157526.
Moradi-Lakeh M., El Bcheraoui C., Afshin, A., et al. Diet in Saudi Arabia: Findings from a nationally representative survey. Public Health Nutrition 2017;20(6):1075-1081 doi:10.1017/S1368980016003141.
Alzeidan R.A., Rabiee F., Mandil A.A., Hersi A.S. & Ullah A.A. Changes in dietary habits, physical activity and status of metabolic syndrome among expatriates in Saudi Arabia. Mediter. Heal. J. 2017;23(12):836-44.doi:10.26719/2017.23.12.836.
Lissner L., Johansson S.E., Qvist J., Rössner S. & Wolk A. Social mapping of the obesity epidemic in Sweden. J. Obes. 2000; 24:801–5. doi:10.1038/sj.ijo.0801237.
Alqarni, M.S.S. A Review of Prevalence of Obesity in Saudi Arabia. Obes. Eat. Disord. 2016;2:2. doi:10.21767/2471-8203.100025
Alshaikh M.K., Filippidis F.T., Al-Omar H.A., et al. The ticking time bomb in lifestyle-related diseases among women in the Gulf Cooperation Council countries; review of systematic reviews. BMC Public Health 2017;17:536. doi:10.1186/s12889-017-4331-7
Mansoor U.L., & Ali M.A.M.H. Impact of hostel students' satisfaction on their academic performance in Sri Lankan Universities. 5 th International Symposium 2015 – Emerging trends and challenges in multidisciplinary research At: South Eastern University of Sri Lanka, Oluvil, Sri lanka. 43-6. https://www.researchgate.net/publication/328450578_IMPACT_OF_HOSTEL_STUDENTS'_SATISFACTION_ON_THEIR_ACADEMIC_PERFORMANCE_IN_SRI_LANKAN_UNIVERSITIES
Arasegowda R, Rani NA, Mukherjee P & Nusrath A. Assessment of dietary trends and its impact on academic performance among young adult medical students of a tertiary care teaching hospital Int J Med Sci Pub Health 2016;5(11):2346-50.doi:10.5455/ijmsph.2016.16042016480
Nasr Eldeen SK, Alssadh H, Mashharawy S Associations between Good Dietary Intake Habits and Sleep Quality with Academic Achievement among Inaya Medical College Students. Ann Public Health Res 2018;5(4): 1084-7.
Vassiloudis I., Yiannakouris N., Panagiotakos D. B., Apostolopoulos K. & Costarelli V. Academic Performance in Relation to Adherence to the Mediterranean Diet and Energy Balance Behaviors in Greek Primary Schoolchildren. Nutr. Educ. Behav. 2014;46(3):164-70. doi:10.1016/j.jneb.2013.11.001.
Kobayashi, F. Academic achievement, BMI, and fast food intake of American and Japanese college students. Food Sci. 2009;39(5):555-66 doi:10.1108/00346650910992213.
Tobin, K. J. Fast-food consumption and educational test scores in the USA. Care. Health Dev. 2013;39(1):118-24.doi:10.1111/j.1365-2214.2011.01349.x.
Deshpande S., Basil M.D. & Basil D.Z. Factors influencing healthy eating habits among college students: An application of the health belief model. Health Mark. Q. 2009;26;145–64. https://doi.org/10.1080/07359680802619834
Ickovics J.R. Carroll-Scott A., Peters S.M., Schwartz M., Gilstad-Hayden K., McCasli C. Health and academic achievement: Cumulative effects of health assets on standardized test scores among urban youth in the United States. Sch. Health 2014;84(1):40-8.doi:10.1111/josh.12117.
Miller K.E. Energy Drinks, Race, and Problem Behaviors Among College Students. Adolesc. Heal. 2008;43(5):490-7.doi:10.1016/j.jadohealth.2008.03.003
Sun J. Yi H., Liu Z., et al. Factors associated with skipping breakfast among Inner Mongolia Medical students in China. BMC Public Health 2013;13(42).doi:10.1186/1471-2458-13-42.
Peter R. Reuter, Bridget L. Forster & Sierra R. Brister. The influence of eating habits on the academic performance of university students J Am Coll Health 2020: doi:10.1080/07448481.2020.1715986
Rampersaud G.C., Pereira M.A., Girard B.L., Adams J. & Metzl J.D. Breakfast habits, nutritional status, body weight, and academic performance in children and adolescents. J Am Diet Assoc 2005;105:743–60.doi: 10.1016/j.jada.2005.02.007
Correa-Burrows P., Burrows R., Blanco E., Reyes M. & Gahagan S. Nutritional quality of diet and academic performance in Chilean students. World Health Org. 2016;94:185-92.doi:10.2471/blt.15.161315.
Al-Rethaiaa A.S., Fahmy, A.E.A. & Al-Shwaiyat N.M. Obesity and eating habits among college students in Saudi Arabia: A cross-sectional study. J.2010;9:39.doi:10.1186/1475-2891-9-39
Hassan N., Hassan T., Female Students get More Marks as Compared to Male Students: A Statistical Study. J Bus Fin Affair 2016;5: 226. doi: 10.4172/2167-0234.1000226
Arasegowda R., Rani N.A., Mukherjee P., Nusrath A. Assessment of dietary trends and its impact on academic performance among young adult medical students of a tertiary care teaching hospital Int J Med Sci Pub Health 2016; 5(11):2346-50 doi:10.5455/ijmsph.2016.16042016480
Azhar M., Nadeem S., Naz F., Perveen F., & Sameen Impact of parental education and socio-economic status on academic achievements of university students Int J Acad Res Refl 2013;1(3):25-33. https://www.semanticscholar.org/paper/IMPACT-OF-PARENTAL-EDUCATION-AND-SOCIO-ECONOMIC-ON-Azhar-Nadeem/ce368197b1724402ef241ddeb2c4eac5fedcb88f
Khan F.R., Alshekili N.S.H., Al Badi A.S., Al Khanbashi H.A. Exploring the Impact of Hostel Life of Students on Academic Performance: Sohar University – a case study Inter J Res Entrepr Bus Studies 2020;1(1):1-14 https://doi.org/10.47259/ijrebs.111
Owolabi B.O. The Effects of Students' Housing on Academic Performance at the University of Ibadan in Nigerian Inter J Sci Eng Res 2015;6(3):1118-32. https://www.ijser.org/researchpaper/The-Effects-of-Students-Housing-on-Academic-Performance-at-the-University-of-Ibadan-in-Nigerian.pdf
He J., Chen X., Fan X., Cai Z., Huang F. Is there a relationship between body mass index and academic achievement? A meta-analysis Public Health 2018;167:111-24. 1016/j.puhe.2018.11.002
Wehigaldeniya WGDS, Oshani PAL, KumaraHeight IMNS, Weight, Body Mass Index (BMI) and Academic Performance (AP) of University Students in Sri Lanka: With Special Reference to the University of Kelaniya Inter J Sci Res Pub 2017;7(2):217-9.
Alfawaz HA The Relationship Between Fast Food Consumption and BMI among University Female Students Pakistan J Nutr 2012;11(5):406-410
Shatabdi Goon, Munmun Shabnam Bipasha, Md. Saiful Islam. Fast Food Consumption and Obesity Risk among University Students of Bangladesh. European Journal of Preventive Medicine. 2014; 2(6):99-104.doi: 10.11648/j.ejpm.20140206.14

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Dietary Habits, BMI, and demographic characteristics affect the Academic Performance of University Students in Saudi Arabia: A cross-sectional study

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