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Article

Breakfast Eating Habits and Lifestyle Behaviors among Saudi Primary School Children Attending Public Versus Private Schools

by
Laura Jabri
1,
Amani A. Al-Rasheedi
2,
Rayan A. Alsulaimani
3 and
Hazzaa M. Al-Hazzaa
4,*
1
American International School of Jeddah, Jeddah 21352, Saudi Arabia
2
Food and Nutrition Department, Faculty of Human Sciences and Design, King Abdul Aziz University, Jeddah 42751, Saudi Arabia
3
Department of Pharmacology, Faculty of Medicine, King Abdul Aziz University, Jeddah 42751, Saudi Arabia
4
Lifestyle and Health Research Center, Health Sciences Research Center, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia
*
Author to whom correspondence should be addressed.
Children 2021, 8(2), 134; https://doi.org/10.3390/children8020134
Submission received: 31 December 2020 / Revised: 26 January 2021 / Accepted: 8 February 2021 / Published: 11 February 2021

Abstract

:
We investigated breakfast eating habits and lifestyle behaviors among Saudi school children attending public versus private schools. A random sample of 1149 children (girls: 54.4%) from public and private schools was selected from elementary schools using the multistage stratified cluster method. Measurements included body weight, height, body mass index (BMI), and self-reported questionnaires filled by the child’s parents. There was no significant (p = 0.44) difference in the prevalence of breakfast intake between children attending public (20.6%) versus private (19.4%) schools. However, there was a gender by school type interactions in breakfast intake frequency, as boys in private but not in public schools had significantly (p = 0.006) higher (26.3%) daily breakfast intake than girls (13.3%). Over 56% of the children ate and drank from the school canteen, and impacting factors on children’s choices were children’s desire, food taste, and parental influence. More parents of children in private (12.1%) than in public (6.9%) schools were satisfied with the food in the school canteen. Younger age (aOR = 0.889, 95% CI = 0.815–0.970, p = 0.008), higher father education (aOR = 1.380, 95% CI = 1.130–1.686, p = 0.002), family income (aOR = 1.227, 95% CI = 1.005–1.498, p = 0.044), and insufficient sleep duration (aOR = 0.740, 95% CI = 0.553–0.990, p = 0.042) were significantly associated with being in a private school. Furthermore, no significant differences, when adjusted for socio-demographic factors, appeared in breakfast intake or overweight/obesity relative to school type. Interventions to improve daily breakfast consumption and lifestyle behaviors of Saudi children are warranted.

1. Introduction

Habitual breakfast consumption contributes substantially to a child’s physical health and wellbeing by improving nutrient intake and overall dietary quality [1,2,3,4]. A more balanced macronutrient distribution including higher fiber and lower saturated fat intake was found among Canadian children and adolescents who were breakfast consumers [5]. Higher levels of essential micronutrients including vitamin D, vitamin C, and folate have also been observed in European adolescents who consumed breakfast compared to those who skipped the breakfast meal [6]. Conversely, breakfast skipping is associated with several negative health effects and worse anthropometrics including higher body mass index (BMI) z-scores, waist circumferences, and overweight/obesity prevalence among children and adolescents [2,7,8]. A systematic review of studies from 33 countries found that skipping breakfast also negatively altered blood lipid profiles and may be associated with an increased risk for developing the metabolic syndrome, a finding possibly explained by higher postprandial glycemic response in breakfast skippers [9]. Breakfast skipping was also shown to be associated with various suboptimal lifestyle behaviors such as engaging in less physical activity and more screen time, having less nocturnal sleep time and poorer dietary habits overall [7,10,11,12,13].
Breakfast consumption among children and adolescents is influenced by several socio-demographic factors including age and sex [3,4,14,15]. Other socio-demographic factors associated with higher breakfast skipping among children are single-parent homes and lower socioeconomic status, which is reflected through either family income, parental education, or occupation [1,3,14,16]. However, while a large cross-sectional study reported an inverse association between breakfast consumption and socioeconomic status in most European and North American regions, such an association with breakfast intake may reflect socio-cultural perceptions rather than socioeconomic status itself [14]. In fact, a study on school children in Pakistan reported contrasting findings, showing that children from upper socioeconomic backgrounds and higher parental education reported an increased prevalence of breakfast skipping [17].
Education plays a vital role in achieving Saudi Arabia’s Vision 2030 targets [18]. Currently, public schools in Saudi Arabia dominate K–12 education, accounting for 87% of student enrollment [19]. However, private schools in the country have increased in the last five years by 13% [19]. Future private school enrollment is expected to increase much further, as the Saudi government is targeting an increase of 25% in private school enrollment by the year 2025 [18]. The growth in the private school market is being driven by an increase in population, the government’s Vision 2030 education initiatives, and increased emphasis on parental attitudes and thinking toward the importance of their children’s education [19]. An interesting finding from a longitudinal study conducted in Britain showed that private school children reported fewer behavioral problems over time than public schoolers [20]. However, after controlling for school selection criteria, the privately-educated children appeared to be less risk averse and drink at younger ages than their public school counterparts, and the study concluded that private education added little positive value to the children’s social-emotional development [20]. Nevertheless, there are some concerns about how much private schools can offer for the overall development of child including eating habits and lifestyle behaviors [20].
Globally, it appears that there are marked socioeconomic disparities among students from public and private schools [21], which are reflected in the association between socioeconomic and health-related factors [21,22,23,24,25] or in the consumption of minimally processed and ultra-processed foods [26]. In addition, there is a scarcity of information on the differences in breakfast eating habits and lifestyle behaviors between children in public and private schools, despite the differences in the socioeconomic status of families of children attending private schools compared to those attending public schools [21]. Additionally, published studies in Saudi Arabia have been focusing on the prevalence of breakfast skipping in general and its associations with lifestyle behaviors without paying attention to the disparities in breakfast eating and lifestyle habits between public and private schools [27,28,29,30,31]. Generally speaking, research evaluating the differences in eating habits and lifestyle behaviors relative to school type is limited. Therefore, the present study aimed to assess the breakfast eating habits and lifestyle behaviors among primary school children attending public versus private schools in Jeddah, Saudi Arabia, while adjusting for socio-demographic confounders.

2. Materials and Methods

2.1. Participants

The sample was drawn from students in public and private elementary schools in the city of Jeddah, western Saudi Arabia. A multistage stratified cluster random sampling technique was utilized to select the students. The total sample size was estimated to be 960 boys and girls, based on a proportion of 0.50 with a 95% confidence level and an error of 4%. This figure included an additional 20% to the sample size to account for non-responders and missing data. The stratification scheme included gender (boys and girls schools), geographical locations of the schools (east, west, north, and south), and type of school (public versus private). Two private and four public schools were randomly selected from each area. Within each school, one class section was randomly chosen from each of the six grade levels in the elementary school. All students in the selected classes were then invited to participate in this study. The final sample size was 1149 children (523 boys, 626 girls). This represents 869 and 280 students from public and private schools, respectively. A more detailed description of the study design, sampling, and procedure has been previously published [27,28].
Ethical approval for the study was secured from the Institutional Review Board (IRB) at Princess Nourah bint Abdulrahman University, Riyadh (IRB Log Number: 19-0014). Written consent was obtained from the parents of all participating children. In addition, approval for conducting this research in schools was obtained from the Jeddah Directorate of Schools, Ministry of Education, and from the principals of all selected schools.

2.2. Measurements and Procedures

Body weight (to the nearest 100 g) and height (to the nearest 0.1 cm) were measured using calibrated portable medical scales (Seca 869, Birmingham, UK) with minimal clothing and without shoes. Body mass index (BMI) was calculated as the ratio of weight in kilograms divided by the squared height in meters. The extended International Obesity Task Force (IOTF) age- and sex-specific BMI cutoff reference standards were used to classify underweight, normal weight, and overweight or obesity relative to the child’s age [32]. In addition, socio-demographic measurements included age, sex, maternal and paternal age, education level, and family income.
The breakfast intake frequency as well as food choices and preferences were assessed using a specifically designed self-reported questionnaire [27,28]. Common breakfast choices that were listed in the questionnaire included: egg, cheese, peanut butter, or hummus sandwiches; pizza; ready-to-eat cereals; potato; sausage; cookies or muffins as well as local food choices. Information about the school canteen and parent satisfaction with the food provided in the school’s canteen were included. The questionnaire also contained items related to the most influencing factors on breakfast choices by Saudi children. The instrument was previously developed and content validated [27]. Questions relating to socio-demographic factors and selected lifestyle behaviors were also included in the questionnaire. The questionnaires were to be filled by the children’s parents or adult guardians.
Assessment of screen viewing time included questions on the typical daily time that the child spent on screen time including time spent viewing TV, playing video games, and on computer and Internet recreational use. This included hours spent on screen time during weekdays and weekends. Sedentary behaviors were then categorized into a cutoff based on above or below two hours per day [33].
Physical activity was evaluated using the total daily time spent by the child on all types of physical activity including sports during which the child’s breathing was increased considerably. The sufficient physical activity level was based on 60 min or more of daily physical activity [33]. Physical activity was categorized as low or high activity based on a minimal recommended cut-off value of 420 total minutes per week [33].
In addition, we assessed nocturnal sleep duration on weekdays (school days) and weekends. Parents were asked to provide how many hours their children usually slept at night on weekdays and weekends. Insufficient sleep (short sleepers) was defined as sleeping less than 9 h per night, according to the National Sleep Foundation for school-age children 6–13 years [34].

2.3. Statistical Analysis

Data were entered into a SPSS data file, checked, cleaned, and analyzed using IBM-SPSS program, version 22 (Chicago, IL, USA). Descriptive statistics were obtained for all variables and reported as means and standard deviations or percentages. Differences in descriptive characteristics of the participants were tested using two-way analysis of variance (school type by gender). The proportions and Chi-square tests were used to test the differences in socio-demographic and lifestyle parameters of the participants relative to school type. Multivariable analysis using two (public versus private schools) by two (boys versus girls) multivariate analysis of variance were used to test the differences in selected breakfast, BMI, and lifestyle variables while controlling for age and socio-demographic factors. Wilks’ Lambda p-values were reported. Moreover, logistic regression analysis while adjusting for age, gender, and socio-demographic factors was used to test the differences between children attending public versus private schools in breakfast intake, overweight or obesity, and selected lifestyle behaviors. Adjusted odds ratios (aOR) and confidence intervals (95% CI) were reported. Alpha level at 0.05 or less was set as significant.

3. Results

Table 1 presents the characteristics of the participants relative to gender and type of school. The mean age (SD) of the sample was 9.2 (1.7) years, ranging from 5.8 to 13 years. Two-way analysis of covariance tests (gender by school type), while controlling for age, revealed no significant differences in body weight, height, BMI, or overweight or obesity status. However, there was a significant (p = 0.029) gender by school interaction effect on breakfast intake (days/week). In addition, there were no differences in the proportions of daily breakfast intake between children in public (20.6%) and private (19.6%) schools. Additionally, there was no significant difference in the proportion of children having breakfast five or more days per week between public (39.8%) and private (42.1%) schools. Although there was no overall difference in the prevalence of daily breakfast intake relative to gender in public schools, boys (26.3%) in private schools showed higher (p = 0.006) daily breakfast intake than girls (13.3%).
The socio-demographic characteristics and lifestyle behaviors of Saudi children relative to school type are displayed in Table 2. Higher father education level (p < 0.001) and greater family income (p = 0.002) were significantly associated with private school enrollment. Moreover, two lifestyle behaviors were significantly and positively associated with private school enrollment including sleep duration at or above nine hours per night (p = 0.003) and high weekly physical activity (p = 0.042). Compared to children in public schools, children in private schools spent a higher amount of time being active at or above 420 min per week (p = 0.018). Table 3 shows the results of two-way MANCOVA for selected breakfast, BMI, and lifestyle variables while controlling for age and socio-demographic factors stratified by gender and school type (public versus private). There were no significant differences relative to gender, school type, or gender by school type interactions in breakfast intake, BMI, or sleep duration. However, there were significant (p < 0.001) gender differences in screen time and physical activity.
Table 4 shows the parent responses to questions on the school canteen stratified by school type. More than 56% of all children ate and drank from the school canteen, with significant differences (p < 0.001) between school types. It appears that more parents of children in private (12.1%) than in public (6.9%) schools were satisfied (p = 0.003) with the food offered to their children by the school canteen. Overall, more than one-third of parents were either satisfied or somewhat satisfied with the drink choices offered by the schools without any significant differences between public and private schools.
The most influencing factors on breakfast choices by Saudi children relative to school type are presented in Table 5. Children’s desire, food taste, and parental influence were chosen as the top factors that impacted on children’s breakfast choices. Surprisingly, only 16% of children were influenced by TV advertisements on their preference of breakfast choice. Table 6 shows the parents’ perceptions regarding the health quality of children’s common breakfast choices relative to school type. Egg sandwich, thyme sandwich, breakfast cereals from whole wheat or oats, yogurt, tuna sandwich, fava beans (Foul), and chickpeas (hummus) scored above 70% as healthy breakfast choices by the parents. The following breakfast choices exhibited significant (<0.050) differences in parents’ responses relative to school type: breakfast cereals, fava beans, Oreo biscuits, Nutella hazelnut spread sandwich, and hamburgers.
Finally, the results of the logistic regression analysis of selected lifestyle behaviors, adjusted for age, gender, and socio-demographic factors, relative to school type are presented in Table 7. Among all variables in the regression model, only older age (aOR = 0.889, 95% CI = 0.815–0.970, p = 0.008), higher father education (aOR = 1.380, 95% CI = 1.130–1.686, p = 0.002), higher family income (aOR = 1.227, 95% CI = 1.005–1.498, p = 0.044), and insufficient sleep duration (aOR = 0.740, 95% CI = 0.553–0.990, p = 0.042) appeared significantly associated with child enrollment in a private school.

4. Discussion

The current research investigated the breakfast eating habits and lifestyle behaviors among Saudi primary school children attending public versus private schools. The major findings indicated that there was low prevalence of breakfast intake among both children in the public and private schools. Additionally, a gender by school type interaction effect in breakfast intake was found, as boys in private but not in public schools showed significantly higher daily breakfast intake than girls. More parents of children in private than in public schools were satisfied with the foods provided in the school canteen and that children’s desire, food taste, and parental influence were the top factors impacting children’s breakfast choices in both types of schools. In addition, younger age, higher father education, family income, and sufficient sleep duration were significantly associated with being in a private school. No significant differences, when adjusted for socio-demographic factors, appeared in breakfast intake or overweight/obesity relative to school type.
From the findings of the present study, which showed almost 20% daily breakfast intake, and comparing this figure to the results from another cross sectional study conducted two decades ago that reported that 85% of school-age children and adolescents consumed breakfast on a daily basis [30], it appears that the trend of daily breakfast consumption in Jeddah has declined significantly. In Riyadh, another large city in Saudi Arabia, the proportion of primary school students who consumed breakfast daily had also declined from about 80% in 1999 to nearly 21% in 2017 [27,35]. Although this is in line with the declining global trend of daily breakfast consumption in most countries around the world, Saudi Arabia now ranks among those with the lowest figures of breakfast consumption: a large study using data obtained from 31 countries by a World Health Organization collaborative study on health behaviors of school-aged children found that the proportion of adolescents who consumed breakfast daily ranged between 37.8% in Slovenia to 72.6% in the Netherlands [36]. The large gap between breakfast intake prevalence in our sample and that reported for children in European and North American countries [36] points to a need to consider other countries’ policies and programs regarding breakfast intake in order to implement similar strategies in Saudi Arabia in an effort to increase daily breakfast consumption among school-aged children.
Previous research has shown that girls tend to skip breakfast more frequently than boys [1], a finding that was significant only among private school students in our sample. One explanation in previously existing literature is the girls’ concern for weight or body image [16,37]. Private school students typically come from families of higher socioeconomic status (the current findings showed that children in private schools came from parents with significantly higher income and paternal education compared with children in public schools), however, there were no significant differences between the children skipping breakfast at home relative to high income status (the percentages of children with non-daily breakfast intake in private and public schools earning more than 20,000 Saudi Riyals were 12.6% and 13.0%, respectively). Nonetheless, we did not assess (and account for) the number of children in the family, a factor that may influence enrolling children in private schools. It is also more likely that children with higher family income and education to own more personal electronic devices and have more accessibility to social media platforms, which propagate body image issues and insecurities, and thus may be skipping breakfast to counteract such insecurities [38]. Further investigation into this matter is needed to explore Saudi girls’ reasons for skipping breakfast and the associations with body image perceptions and BMI status.
In the present study, multivariable analysis did not show any significant gender differences in breakfast intake frequency. However, the boys spent significantly more time on screen viewing and engaging in physical activity than the girls. These findings were in line with earlier research showing that adolescent females in three major Saudi cities were significantly more sedentary and less physically active than their male counterparts [31]. Reliance on automotive transportation, limited physical education in schools [31], cultural acceptance of females playing sports as well as higher accessibility of males to sports clubs than females were all factors that contributed to the above-mentioned gender differences in physical activity. However, there has been a growing shift in recent years in cultural perceptions as well as in increased opportunities for young Saudi girls to actively participate in physical activity and organized sports.
After controlling for confounders (age, gender, and socioeconomic factors), children in our study who attend private schools were found to have less insufficient sleep (longer sleep duration) than their public school counterparts. While previous research has shown that longer nocturnal sleep is positively associated with breakfast consumption [10,13], we found no significant differences in daily breakfast consumption between private and public school students after adjusting for possible confounders. However, there is some evidence in the literature indicating that breakfast consumption is higher among public compared with private Indian school students [39]. Furthermore, the present study showed that higher family income correlated positively with children’s enrollment in private schools. Additionally, higher paternal but not maternal education levels were positively associated with enrollment in private schools. This finding may need future investigation in light of the fact that more Saudi females than Saudi males hold college degrees. Nevertheless, research showed that differences exist in the socioeconomic status of families of children attending private schools compared to those in public schools [15].
The current study showed that the frequency of breakfast consumption was not associated with BMI. Such findings appeared similar to those reported recently for primary school children from Riyadh [27]. The link between higher frequency of breakfast consumption and healthier BMI scores has been established in the literature [2,7,8,16,40]. Our present findings did not observe any association between the type of school and BMI status (e.g., overweight or obesity levels). An earlier study conducted on children from Riyadh, using similar methodology did find a significant interaction effect in BMI between type of school and gender [26]. Elsewhere, the prevalence of over-nutrition was significantly higher among Ethiopian primary school children attending private schools compared to those in public schools [41]. Additionally, a cross sectional investigation involving children from Ghana showed that amongst factors related to overweight or obesity was higher enrollment in private schools [22]. In contrast, a longitudinal analysis from 2005 to 2016 of overweight and obesity among Argentinian children found significant changes in adiposity in boys and girls attending public schools but not in children attending private schools [42].
Our results showed that parents of children enrolled in private schools were more satisfied with the food choices offered by the school canteen than parents of children in public schools. This could be due to better quality food and drink options sold at private school canteens and more organized food set-up. However, a recent study conducted on Saudi public high schools in Riyadh found that the actual implementation of and compliance with the guidelines on school canteen food and drink regulations published by the Ministry of Education in coordination with the Ministry of Health is limited [43]. None of the schools from the aforementioned study sold any fruits or vegetables, and instead commonly sold croissants, potato chips, fried foods, and confectionery, all of which are energy-dense nutrient-poor foods. According to the findings of an Australian study, most children perceived canteen food and drink to be ‘a treat’ and thus purposely purchased unhealthy items [44]. More importantly, we found that more than a quarter of the parents in our study were unaware of the food and drink choices sold in the canteen. This is alarming because as major stakeholders, parents can have a strong say in promoting healthy food choices in their children’s school canteen.
Breakfast choices among children in our study were mostly determined by the child’s desire, food taste, and parental influence, without significant differences in the proportions of these factors between public and private schools. These findings highly correspond with results from a large cross-sectional study on European adolescents in which the top factors were child hunger levels, food taste, and parental influence, in addition to concern for health, which was not listed as an independent choice in our survey [45]. Given our finding that the child’s desire was the most influencing factor, we can assume that Saudi children enjoy at least some level of autonomy in choosing their own foods, although the extent of such autonomy of children choosing their own breakfast items at home is yet unclear. The analysis of the dietary habits of normal-weight and obese children in Saudi Arabia also found that children who ate breakfast at home had higher odds of obesity, indicating that the breakfast quality of obese children is possibly suboptimal [46]. This leaves room for future interventions to include children in addition to parents in order to educate all family members about healthy breakfast options. However, friends as an influencing factor was found to be significantly different between public and private school attendees. Since a lower proportion of private school students bought food and drink from the canteen, this implies they are bringing more food from home, which potentially comprises a variety of unique food and drinks not otherwise found in the canteen. As such, students in private schools may be more influenced by their peers’ food and drink choices compared to students in public schools, where they generally eat a more uniform array of food all from the school canteen.
Furthermore, while only a small proportion of parents answered that TV advertisements influenced their child’s breakfast choices, research has shown that television food marketing is potentially as powerful on children as parental influence [47]. While television as the primary platform for advertising to children has declined in recent years, other media such as Internet websites are largely being used nowadays to market various foods and beverages to children [47,48]. It is worth noting that food marketing to children in Saudi Arabia is mostly unregulated, especially on online platforms. Therefore, educating parents about the magnitude of online marketing children in Saudi Arabia is needed.
Finally, while we found that most parents are generally knowledgeable about the health quality of common breakfast choices, there are still several misconceptions regarding unhealthy food choices, namely Oreo biscuits, hazelnut chocolate spread sandwiches, hot dogs, French fries, and donuts, which were rated as ‘somewhat healthy’ by a large proportion of parents. Parental knowledge, attitudes, and behaviors regarding healthy food and proper child nutrition directly and strongly influence their children’s dietary quality and eating habits [48]. Higher parental knowledge of healthy eating and active implementation of such knowledge in the home was associated with decreased child obesity risk in Riyadh [46]. This area requires in-depth exploration of Saudi parenting styles and other cultural factors involved in order to design tailored interventions to improve parental knowledge about diet quality, correct misperceptions regarding food, and educate them about appropriate child-feeding practices [48].

4.1. Strengths and Limitations

This study adds to the limited literature regarding breakfast eating habits and lifestyle behaviors of primary school children relative to public or private school attendance. We included a large and representative sample of Saudi children from both public and private schools. However, there are some noteworthy limitations of this study. We did not specifically measure the composition or quality of breakfast items consumed by children in this study. A major limitation in our study is the administration of surveys by the parents or guardians of children, as this leaves room for self-reporting and social-desirability biases, both of which can provide inaccuracies in results. In addition, the varying definitions of ‘breakfast consumption’ and ‘breakfast skipping’ in the literature leaves room for speculation whether eating breakfast at 9 a.m. during school recess has similar beneficial effects on primary school children as eating breakfast early in the morning before going to school. Finally, due to the large sample size, we used a subjective measure of physical activity rather than a more objective assessment such as motion sensors. This may have impacted on the accuracy of the physical activity assessment.

4.2. Future Implications

From the findings of the present study, it was clear that future study needs to thoroughly consider investigating the reasons that girls in private study consumed breakfast at home less frequently than girls in public schools or even lower than boys in private schools. This is occurring despite the fact that children in private schools were generally eating food from the school canteen less frequently than those in public schools. Future interventions should aim to educate parents about fostering and promoting several healthy lifestyle behaviors for their children including sufficient nocturnal sleep, daily breakfast consumption, and regular physical activity, as they are all strongly part of the healthier lifestyle behaviors in children. Furthermore, culturally-appropriate education for parents about healthy nutrition and appropriate child dietary practices is warranted. Educational campaigns and interventions on healthy breakfast food choices should aim to include both parents and children. Further research into several key areas is also needed including but not limited to children’s perceptions of weight, body image, and meal skipping, especially for girls as well as for the analysis of the dietary quality of specific food and drinks sold in school canteens.

5. Conclusions

The majority of children attending public and private schools do not consume breakfast daily, and girls in private schools skip breakfast significantly more than boys. Most children eat or drink from the school canteen, while most parents (more so in private schools) were somewhat satisfied with the foods provided in the school’s canteen. Children’s desire, food taste, and parental influence were the top factors influencing children’s breakfast choices in both types of schools. In addition, younger age, higher father education, family income, and sufficient sleep duration were significantly associated with being in a private school. No significant differences, when adjusted for socio-demographic factors, appeared in breakfast intake or overweight or obesity status relative to school type.

Author Contributions

Conceptualization, H.M.A.-H., A.A.A.-R., L.J., and R.A.A.; Data collection supervision, L.J., A.A.A.-R., and R.A.A.; Statistical analyses, H.M.A.-H.; Interpretation of the findings, H.M.A.-H., L.J., A.A.A.-R., and R.A.A.; Drafting the manuscript: L.J. and H.M.A.-H. All authors have read and agreed to the published version of the manuscript.

Funding

Professor Hazzaa Al-Hazzaa was funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University through the Fast-track Research Funding Program.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Review Board (IRB) at Princess Nourah bint Abdulrahman University, Riyadh (IRB Log Number: 19-0014).

Informed Consent Statement

Written informed consent was obtained from the parents of all participating children.

Data Availability Statement

All data generated or analyzed during this study are included in this published article. Any additional data are available from the corresponding author on reasonable request.

Acknowledgments

We would like to thank all the participants for taking part in this study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. 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, 743–760. [Google Scholar] [CrossRef] [PubMed]
  2. Deshmukh-Taskar, P.R.; Nicklas, T.A.; O’Neil, C.E.; Keast, D.R.; Radcliffe, J.D.; Cho, S. The relationship of breakfast skipping and type of breakfast consumption with nutrient intake and weight status in children and adolescents: The National Health and Nutrition Examination Survey 1999–2006. J. Am. Diet. Assoc. 2010, 110, 869–878. [Google Scholar] [CrossRef]
  3. Smith, K.J.; Breslin, M.C.; McNaughton, S.A.; Gall, S.L.; Blizzard, L.; Venn, A.J. Skipping breakfast among Australian children and adolescents; findings from the 2011–12 National Nutrition and Physical Activity Survey. Aust. N. Z. J. Public Health 2017, 41, 572–578. [Google Scholar] [CrossRef] [PubMed]
  4. Utter, J.; Scragg, R.; Mhurchu, C.N.; Schaaf, D. At-home breakfast consumption among New Zealand children: Associations with body mass index and related nutrition behaviors. J. Am. Diet. Assoc. 2007, 107, 570–576. [Google Scholar] [CrossRef]
  5. Barr, S.I.; DiFrancesco, L.; Fulgoni, V.L. Breakfast consumption is positively associated with nutrient adequacy in Canadian children and adolescents. Br. J. Nutr. 2014, 112, 1373–1383. [Google Scholar] [CrossRef] [Green Version]
  6. Mielgo-Ayuso, J.; Valtueña, J.; Cuenca-García, M.; Gottrand, F.; Breidenassel, C.; Ferrari, M.; Manios, Y.; De Henauw, S.; Widhalm, K.; Kafatos, A.; et al. Regular breakfast consumption is associated with higher blood vitamin status in adolescents: The HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study. Public Health Nutr. 2017, 20, 1393–1404. [Google Scholar] [CrossRef] [Green Version]
  7. Tambalis, K.D.; Panagiotakos, D.B.; Psarra, G.; Sidossis, L.S. Breakfast skipping in Greek schoolchildren connected to an unhealthy lifestyle profile. Results from the National Action for Children’s Health program. Nutr. Diet. 2019, 76, 328–335. [Google Scholar] [CrossRef]
  8. Horikawa, C.; Kodama, S.; Yachi, Y.; Heianza, Y.; Hirasawa, R.; Ibe, Y.; Saito, K.; Shimano, H.; Yamada, N.; Sone, H. Skipping breakfast and prevalence of overweight and obesity in Asian and Pacific regions: A meta-analysis. Prev. Med. 2011, 53, 260–267. [Google Scholar] [CrossRef]
  9. Jakubowicz, D.; Wainstein, J.; Landau, Z.; Raz, I.; Ahren, B.; Chapnik, N.; Ganz, T.; Menaged, M.; Barnea, M.; Bar-Dayan, Y.; et al. Influences of breakfast on clock gene expression and postprandial glycemia in healthy individuals and individuals with diabetes: A randomized clinical trial. Diabetes Care 2017, 40, 1573–1579. [Google Scholar] [CrossRef] [Green Version]
  10. Al-Hazzaa, H.M.; Alhussain, M.H.; Alhowikan, A.M.; Obeid, O.A. Insufficient sleep duration and its association with breakfast intake, overweight/obesity, socio-demographics and selected lifestyle behaviors among Saudi school children. Nat. Sci. Sleep 2019, 11, 253. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Lipsky, L.M.; Iannotti, R.J. Associations of television viewing with eating behaviors in the 2009 Health Behaviour in School-aged Children Study. Arch. Pediatr. Adolesc. Med. 2012, 166, 465–472. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Keski-Rahkonen, A.; Kaprio, J.; Rissanen, A.; Virkkunen, M.; Rose, R.J. Breakfast skipping and health-compromising behaviors in adolescents and adults. Eur. J. Clin. Nutri. 2003, 57, 842–853. [Google Scholar] [CrossRef] [Green Version]
  13. Tambalis, K.D.; Panagiotakos, D.B.; Psarra, G.; Sidossis, L.S. Insufficient sleep duration is associated with dietary habits, screen time, and obesity in children. J. Clin. Sleep Med. 2018, 14, 1689–1696. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Vereecken, C.; Dupuy, M.; Rasmussen, M.; Kelly, C.; Nansel, T.R.; Al Sabbah, H.; Baldassari, D.; Jordan, M.D.; Maes, L.; Niclasen, B.V.-L.; et al. Breakfast consumption and its socio-demographic and lifestyle correlates in schoolchildren in 41 countries participating in the HBSC study. Int. J. Public Health 2009, 54, 180–190. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Haug, E.; Rasmussen, M.; Samdal, O.; Iannotti, R.; Kelly, C.; Borraccino, A.; Vereecken, C.; Melkevik, O.; Lazzeri, G.; Giacchi, M.; et al. Overweight in school-aged children and its relationship with demographic and lifestyle factors: Results from the WHO-Collaborative Health Behaviour in School-aged Children (HBSC) study. Int. J. Public Health 2009, 54, 167–179. [Google Scholar] [CrossRef] [Green Version]
  16. Timlin, M.T.; Pereira, M.A.; Story, M.; Neumark-Sztainer, D. Adolescents: Project EAT (Eating Among Teens) breakfast eating and weight change in a 5-year prospective analysis of breakfast eating and weight change in a 5-year prospective analysis of adolescents: Project EAT (Eating Among Teens). Pediatrics 2008, 121, 638–645. [Google Scholar] [CrossRef] [Green Version]
  17. Mushtaq, M.U.; Gull, S.; Mushtaq, K.; Shahid, U.; Shad, M.A.; Akram, J. Dietary behaviors, physical activity and sedentary lifestyle associated with overweight and obesity, and their socio-demographic correlates, among Pakistani primary school children. Int. J. Behav. Nutr. Phys. Act. 2011, 8, 130. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Kingdom of Saudi Arabia. Vision 2030 Realization Program. 2020. Available online: https://vision2030.gov.sa/en. (accessed on 13 December 2020).
  19. Strategic Gears Management Consultancy. Growth Potential of Private Education in Saudi Arabia. September 2018. Available online: https://www.strategicgears.com/wp-content/uploads/2018/09/Growth-Potential.pdf (accessed on 13 December 2020).
  20. Von Stumm, S.; Plomin, R. Does private education make nicer people? The influence of school type on social-emotional development. Br. J. Psychol. 2020. [Google Scholar] [CrossRef]
  21. De Almeida, F.A.; Konigsfeld, H.P.; Machado, L.M.; Canadas, A.F.; Issa, E.Y.O.; Giordano, R.H. Assessment of social and economic influences on blood pressure of adolescents in public and private schools: An epidemiological study. J. Bras. Nefrol. 2011, 33, 142–149. [Google Scholar]
  22. Aryeetey, R.; Lartey, A.; Marquis, G.S.; Nti, H.; Colecraft, E.; Brown, P. Prevalence and predictors of overweight and obesity among school-aged children in urban Ghana. BMC Obes. 2017, 4, 38. [Google Scholar] [CrossRef]
  23. Bammann, K.; Gwozdz, W.; Lanfer, A.; Barba, G.; De Henauw, S.; Eiben, G.; Fernandez-Alvira, J.M.; Kovács, E.; Lissner, L.; Moreno, L.A.; et al. Socioeconomic factors and childhood overweight in Europe: Results from the multi-centre IDEFICS study. Pediatr. Obes. 2013, 8, 1–12. [Google Scholar] [CrossRef] [Green Version]
  24. Dündar, C.; Öz, H. Obesity-related factors in Turkish school children. Sci. World J. 2012, 2012, 353485. [Google Scholar] [CrossRef] [Green Version]
  25. Miyazaki, Y.; Stack, M. Examining individual and school characteristics associated with child obesity using a multilevel growth model. Soc. Sci. Med. 2015, 128, 57–66. [Google Scholar] [CrossRef] [PubMed]
  26. Ferreira, C.S.; Silva, D.A.; Gontijo, C.A.; Rinaldi, A.E. Consumption of minimally processed and ultra-processed foods among students from public and private schools. Rev. Paul. Pediatr. 2019, 37, 173–180. [Google Scholar] [CrossRef] [PubMed]
  27. Al-Hazzaa, H.M.; Alhowikan, A.M.; Alhussain, M.H.; Obeid, O.A. Breakfast consumption among Saudi primary-school children relative to sex and socio-demographic factors. BMC Public Health 2020, 20, 1–14. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Al-Hazzaa, H.M.; Al-Rasheedi, A.A.; Alsulaimani, R.A.; Jabri, L. Anthropometric, Familial- and Lifestyle-Related Characteristics of School Children Skipping Breakfast in Jeddah, Saudi Arabia. Nutrients 2020, 12, E3668. [Google Scholar] [CrossRef]
  29. Al Turki, M.; Al Shloi, S.; Al Harbi, A.; Al Agil, A.; Philip, W.; Qureshi, S. Breakfast consumption habits among schoolchildren: A cross-sectional study in Riyadh, Saudi Arabia. Int. Res. J. Med. Med. Sci. 2018, 6, 50–55. [Google Scholar] [CrossRef] [Green Version]
  30. Abalkhail, B.; Shawky, S. Prevalence of daily breakfast intake, iron deficiency anaemia and awareness of being anaemic among Saudi school students. Int. J. Food Sci. Nutr. 2002, 53, 519–528. [Google Scholar] [CrossRef] [PubMed]
  31. Al-Hazzaa, H.M.; Abahussain, N.; Al-Sobayel, H.; Qahwaji, D.M.; Musaiger, A.O. Physical activity, sedentary behaviors and dietary habits among Saudi adolescents relative to age, gender and region. Int. J. Behav. Nutr. Phys. Act. 2011, 8, 140. [Google Scholar] [CrossRef] [Green Version]
  32. Cole, T.J.; Lobstein, T. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatr. Obes. 2012, 7, 284–294. [Google Scholar] [CrossRef]
  33. Canadian Society for Exercise Physiology. Canadian 24-Hour Movement Guidelines for Children and Youth (Ages 5–17 Years). 2020. Available online: https://csepguidelines.ca/children-and-youth-5-17/. (accessed on 15 October 2020).
  34. Hirshkowitz, M.; Whiton, K.; Albert, S.M.; Alessi, C.; Bruni, O.; DonCarlos, L.; Hazen, N.; Herman, J.; Katz, E.S.; Kheirandish-Gozal, L.; et al. National Sleep Foundation’s sleep time duration recommendations: Methodology and results summary. Sleep Health 2015, 1, 40–43. Available online: https://www.sciencedirect.com/science/article/abs/pii/S2352721815000157 (accessed on 15 October 2020). [CrossRef] [PubMed]
  35. Al-Othaimeen, A.; Osman, A.K.; al Orf, S. Prevalence of nutritional anaemia among primary school girls in Riyadh City, Saudi Arabia. Int. J. Food Sci. Nutr. 1999, 50, 237–243. [Google Scholar] [CrossRef] [PubMed]
  36. Lazzeri, G.; Ahluwalia, N.; Niclasen, B.; Pammolli, A.; Vereecken, C.; Rasmussen, M.; Pedersen, T.P.; Kelly, C. Trends from 2002 to 2010 in daily breakfast consumption and its socio-demographic correlates in adolescents across 31 countries participating in the HBSC study. PLoS ONE 2016, 11, e0151052. [Google Scholar] [CrossRef]
  37. Neumark-Sztainer, D.; Story, M.; Hannan, P.J.; Perry, C.; Irving, L. Weight-related concerns and behaviors among overweight and nonoverweight adolescents. Arch. Pediatr. Med. 2002, 156, 171–178. [Google Scholar] [CrossRef] [Green Version]
  38. Ayed, H.B.; Yaich, S.; Jemaa, M.B.; Hmida, M.B.; Trigui, M.; Jedidi, J.; Sboui, I.; Karray, R.; Feki, H.; Mejdoub, Y.; et al. What are the correlates of body image distortion and dissatisfaction among school-adolescents? Int. J. Adolesc. Med. Health 2019. [Google Scholar] [CrossRef]
  39. Arora, M.; Nazar, G.P.; Gupta, V.K.; Perry, C.L.; Reddy, K.S.; Stigler, M.H. Association of breakfast intake with obesity, dietary and physical activity behavior among urban school-aged adolescents in Delhi, India: Results of a cross-sectional study. BMC Public Health 2012, 12, 881. [Google Scholar] [CrossRef] [Green Version]
  40. Amin, T.T.; Al-Sultan, A.I.; Ali, A. Overweight and obesity and their relation to dietary habits and socio-demographic characteristics among male primary school children in Al-Hassa, Kingdom of Saudi Arabia. Eur. J. Nutr. 2008, 47, 310. [Google Scholar] [CrossRef]
  41. Ali, M.S.; Kassahun, C.W.; Wubneh, C.A. Overnutrition and Associated Factors: A Comparative Cross-Sectional Study between Government and Private Primary School Students in Gondar Town, Northwest Ethiopia. J. Nutr. Metab. 2020, 2020, 3670895. [Google Scholar] [CrossRef]
  42. Orden, A.B.; Lamarque, M.S.; Apezteguía, M.C. Trend in childhood obesity reflects socioeconomic status in Argentina. Ann. Hum. Biol. 2019, 46, 531–536. [Google Scholar] [CrossRef]
  43. Aldubayan, K.; Murimi, M. Compliance with school nutrition policy in Saudi Arabia: A quantitative study. East. Mediterr. Health J. 2019, 25, 230–238. [Google Scholar] [CrossRef]
  44. Cleland, V.; Worsley, A.; Crawford, D. What are grade 5 and 6 children buying from school canteens and what do parents and teachers think about it? Nutr. Diet. 2004, 61, 145–150. Available online: http://hdl.handle.net/10536/DRO/DU:30008687 (accessed on 15 October 2020).
  45. Hallström, L.; Vereecken, C.A.; Ruiz, J.R.; Patterson, E.; Gilbert, C.C.; Catasta, G.; Díaz, L.-E.; Gómez-Martínez, S.; Gross, M.G.; Gottrand, F.; et al. Breakfast habits and factors influencing food choices at breakfast in relation to socio-demographic and family factors among European adolescents. HELENA Study. Appetite 2011, 56, 649–657. [Google Scholar] [CrossRef] [PubMed]
  46. Alturki, H.A.; Brookes, D.S.; Davies, P.S. Obesity prevention interventions in Saudi Arabian children–building the evidence base: An in-depth analysis of sociodemographic characteristics and dietary habits of obese and normal weight schoolchildren. Glob. Epidemi. Obes. 2018, 6, 1. [Google Scholar] [CrossRef] [Green Version]
  47. Cairns, G.; Angus, K.; Hastings, G.; Caraher, M. Systematic reviews of the evidence on the nature, extent and effects of food marketing to children. A retrospective summary. Appetite 2013, 62, 209–215. [Google Scholar] [CrossRef] [PubMed]
  48. Adamo, K.B.; Brett, K.E. Parental perceptions and childhood dietary quality. Matern. Child Health J. 2014, 18, 978–995. [Google Scholar] [CrossRef]
Table 1. Characteristics of the participants relative to gender and type of school.
Table 1. Characteristics of the participants relative to gender and type of school.
VariableSchool TypeAll
N = 1149
Boys
N = 523
Girls
N = 626
p-Value 1
Age (years)
(mean ± SD)
Public9.4 ± 1.69.3 ± 1.69.5 ± 1.6Gender: 0.785
School type: 0.198
Gender by school interactions: 0.310
Private9.1 ± 1.79.1 ± 1.79.0 ± 1.7
Body weight (kg)
(mean ± SD)
Public33.0 ± 11.532.4 ± 11.233.5 ± 11.6Gender: 0.745
School type: 0.672
Gender by school interactions: 0.289
Private32.5 ± 10.832.7 ± 10.532.2 ± 11.2
Body height (cm)
(mean ± SD)
Public133.4 ± 11.9133.3 ± 10.8133.5 ± 12.0Gender: 0.567
School type: 0.573
Gender by school interactions: 0.156
Private132.5 ± 11.0133.5 ± 9.6131.5 ± 12.2
Body mass index (kg/m2)
(mean ± SD)
Public18.1 ± 3.917.8 ± 4.018.3 ± 3.8Gender: 0.196
School type: 0.933
Gender by school interactions: 0.633
Private18.0 ± 4.017.9 ± 4.118.2 ± 4.0
Breakfast intake (days/week)
(mean ± SD)
Public3.76 ± 2.33.65 ± 2.33.84 ± 2.3Gender: 0.730
School type: 0.951
Gender by school interactions: 0.029
Private3.77 ± 2.34.02 ± 2.43.52 ± 2.1
Daily breakfast intake (%)Public20.619.421.50.446
Private19.626.313.30.006
Breakfast intake (%)
>5 days/week
Public39.838.341.00.444
Private42.146.737.80.147
Overweight or obesity
by school type (%)
Public27.825.030.10.097
Private31.534.328.90.329
1 Two-way ANOVA-tests or Chi-square tests for the proportion. Data are displayed as means ± standard deviations or percentages.
Table 2. Socio-demographic characteristics and lifestyle behaviors of the participants relative to school type.
Table 2. Socio-demographic characteristics and lifestyle behaviors of the participants relative to school type.
VariableAllPublic SchoolsPrivate Schoolsp-Value 1
Gender (%) 0.188
Boys45.544.448.9
Girls54.555.651.1
Parent answering the questionnaire (%) 0.096
Father36.538.131.4
Mother60.558.866.1
Someone else3.03.12.5
Number of children in the family (%) 0.109
1–215.815.516.8
3–451.249.855.3
≥533.034.627.9
Number of family members in the house (%) 0.189
1–35.75.46.4
4–541.840.545.7
≥652.554.147.9
Father’s age (%) 0.206
<30 years0.60.80.0
30–39 years30.529.433.7
40–49 years49.150.544.9
50–59 years16.816.218.8
≥60 years3.03.12.5
Mother’s age (%) 0.669
<30 years8.58.29.6
30–39 years62.062.958.9
40–49 years26.225.727.9
50–59 years3.33.23.6
≥60 years0.000.000.00
Father’s education (%) <0.001
Intermediate or less12.813.89.6
High school28.730.622.5
University degree49.448.253.2
Post graduate degree9.17.414.6
Mother’s education (%) 0.357
Intermediate or less11.112.0 8.6
High school29.429.728.6
University degree55.254.357.8
Post graduate degree4.34.05.0
Family income (%)2 0.002
≤10,000 SR44.546.6 37.9
10,001–20,000 SR39.238.940.0
20,001–30,000 SR12.110.118.2
≥30,001 SR4.24.43.9
Breakfast intake (daily versus non-daily) 0.730
Non-daily79.679.480.4
Daily20.420.619.6
Breakfast intake (5+ versus < 5 days/week) 0.490
>5 days/week59.660.257.9
<5 days/week44.439.842.1
Screen time 0.965
≤2 h/day30.530.530.4
>2 h/day69.569.569.6
Sleep duration 0.003
<9 h/night65.868.158.6
≥9 h/night34.231.941.4
Physical activity (%) 0.042
No physical activity52.253.348.9
<30 min/day21.021.320.0
30 min/day to <60 min/day11.611.611.4
60 min/day9.27.913.3
>60 min/day6.05.96.4
Physical activity/inactivity (%) 0.018
Low active (<420 min/week)84.886.280.4
High active (≥420 min/week)15.213.819.6
Means of travelling to school (%) 0.147
Walking4.34.34.3
Family or private car88.089.085.4
School bus7.76.810.4
BMI category (%)3 0.233
<25 kg/m271.372.268.5
≥25 kg/m228.727.831.5
1 Chi-square tests for the differences in the proportions between public and private schools. 2 SR = Saudi Riyal = 3.75 USD. 3 Based on International Obesity Task Force (IOTF) age- and sex-specific BMI cutoff reference standards to classify normal weight and overweight or obesity [32].
Table 3. Multivariable analysis for selected breakfast, body mass index (BMI), and lifestyle variables while controlling for age and socio-demographic factors stratified by gender and school type (public versus private).
Table 3. Multivariable analysis for selected breakfast, body mass index (BMI), and lifestyle variables while controlling for age and socio-demographic factors stratified by gender and school type (public versus private).
VariableGenderSchool Typep-Value 1
PublicPrivate
Breakfast Intakes (day/week)Boys3.65 ± 2.34.02 ± 2.4School type: 0.994
Gender: 0.624
School type by gender interactions: 0.166
Girls3.83 ± 2.33.54 ± 2.1
All3.75 ± 2.33.77 ± 2.3
BMI
(kg/m2)
Boys17.8 ± 4.018.0 ± 3.9School type: 0.207
Gender: 0.187
School type by gender interactions: 0.759
Girls18.3 ± 3.818.2 ± 4.0
All18.1 ± 3.918.1 ± 4.0
Screen time
(hours/night)
Boys3.38 ± 1.73.22 ± 1.6School type: 0.339
Gender: <0.001
School type by gender interactions: 0.894
Girls2.83 ± 1.62.68 ± 1.6
All3.08 ± 1.72.95 ± 1.6
Sleep duration (hours/night)Boys8.20 ± 1.28.64 ± 0.98School type: 0.076
Gender: 0.238
School type by gender interactions: 0.133
Girls8.43 ± 1.28.44 ± 1.2
All8.33 ± 1.28.54 ± 1.1
Physical activity (minutes/week)Boys199.1 ± 229.3214.1 ± 231.2School type: 0.442
Gender: <0.001
School type by gender interactions: 0.543
Girls90.5 ± 159.2106.0 ± 154.1
All139.2 ± 201.1159.1 ± 202.8
Data are means and standard deviations. 1 Wilks’ Lambda p-values: age <0.001; father age = 0.036; mother age = 0.085; father’s education = 0.014; mother’s education = 0.022; family income = 0.377; school type = 0.286; gender <0.001; and school type by gender interaction = 0.509.
Table 4. Parent responses related to school canteen by school type.
Table 4. Parent responses related to school canteen by school type.
VariableSchool Typep-Value 1
All
N = 1149
Public
N = 869
Private
N = 280
Does your child eat or drink from the school’s canteen? <0.001
Eats & drinks from the school canteen56.359.446.8
Eats only from the school canteen21.722.020.7
Does not eat or drink from the school canteen15.612.824.3
Drinks only from the school canteen6.45.98.2
Are parents satisfied with the foods provided in the school’s canteen? 0.003
Yes, satisfied8.26.912.1
Somewhat satisfied32.633.632.6
Not satisfied31.933.526.8
Does not know about the foods in the school canteen27.426.031.8
Are parents satisfied with the drinks provided in the school’s canteen? 0.090
Yes, satisfied14.813.817.9
Somewhat satisfied31.933.427.5
Not satisfied25.826.423.9
Does not know about the drinks in the school canteen27.526.530.7
1 Chi-square tests for significant differences in the proportions between public and private schools.
Table 5. Factors influencing breakfast choices by Saudi children relative to school type (more than one choice was possible).
Table 5. Factors influencing breakfast choices by Saudi children relative to school type (more than one choice was possible).
VariableSchool Typep-Value 1
All PublicPrivate
Child’s wish or desire55.455.953.90.559
Foods taste39.941.235.70.103
Parental influence33.933.834.30.889
Brothers or sisters17.917.519.30.496
Child’s friends17.415.722.90.006
TV promotions (TV ads)16.116.913.60.185
Other factors1.11.30.40.193
1 Chi-square tests for significant differences in the proportions between public and private schools.
Table 6. Chi-square tests for significant differences in the proportions between public and private schools.
Table 6. Chi-square tests for significant differences in the proportions between public and private schools.
VariableSchool TypeHealthySomewhat HealthyNot Healthyp-Value 1
Egg sandwichPublic91.47.41.30.742
Private92.17.10.7
Thyme sandwichPublic82.715.81.50.334
Private81.415.72.9
Breakfast cereals from whole wheat or oatsPublic81.517.31.20.047
Private81.815.03.2
Yogurt with fruitsPublic79.117.43.60.802
Private77.518.24.3
Tuna sandwichPublic75.022.42.50.185
Private80.417.91.8
Fava beans (Foul)Public67.328.44.30.050
Private75.022.12.9
Chickpeas (Hummus)Public69.326.74.00.152
Private73.921.15.0
Peanut butter sandwichPublic44.545.310.10.083
Private51.437.910.7
Solid cheese sandwichPublic30.553.615.90.694
Private33.251.415.4
PancakePublic19.855.125.10.495
Private21.851.127.1
CroissantPublic15.154.330.60.683
Private13.256.830.0
Spread cheese sandwichPublic11.136.052.90.896
Private11.137.551.4
PizzaPublic9.749.141.20.906
Private8.950.440.7
Mortadella sandwich (cured meat)Public6.034.259.80.101
Private7.527.565.0
Oreo biscuitPublic5.937.356.80.024
Private10.432.557.1
DonutsPublic4.932.962.10.170
Private7.128.264.6
Nutella sandwich
(hazelnut chocolate spread)
Public4.332.862.90.050
Private7.929.662.5
French friesPublic2.925.072.10.317
Private4.327.568.2
HamburgerPublic2.326.271.50.002
Private6.427.965.7
Hot dogPublic2.922.474.70.676
Private3.220.076.8
1 Chi-square tests for significant differences in the proportions between public and private schools.
Table 7. Results of logistic regression analysis of selected lifestyle behaviors, adjusted for gender, and socio-demographic factors, relative to school type among Saudi children.
Table 7. Results of logistic regression analysis of selected lifestyle behaviors, adjusted for gender, and socio-demographic factors, relative to school type among Saudi children.
VariablePublic versus Private School 1
aOR(95% CI)SEEp-Value
Age (younger age = ref)1.00
Older age0.8890.815–0.9700.0440.008
Gender (girls = ref)1.00
Boys0.8680.649–1.1610.1480.341
Father age (older age = ref)1.00
Younger age1.1290.911–1.3980.1090.268
Mother age (older age = ref)1.00
younger age1.0710.825–1.3910.1330.606
Father education (low = ref)1.00
High education1.3801.130–1.6860.1020.002
Mother education (low = ref)1.00
High education0.9580.773–1.1860.1090.693
Family income (low = ref)1.00
High income1.2271.005–1.4980.1020.044
Screen time (high = ref)1.00
Low screen time1.3360.995–1.7940.1580.868
Sleep duration (sufficient = ref)1.00
Insufficient sleep0.7400.553–0.9900.1490.042
Physical activity (high active = ref)1.00
Low active0.7560.518–1.1020.1930.146
Breakfast intake frequency (non-daily = ref)1.00
Daily1.1310.795–1.6080.1800.495
Overweight or obesity (overweight/obesity = ref)1.00
Non-overweight/non-obesity0.8160.603–1.1060.1550.190
1 Public school was used as a reference category. aOR = adjusted odds ratio; CI = confidence interval; ref = reference category; SEE = standard error.
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Jabri, L.; Al-Rasheedi, A.A.; Alsulaimani, R.A.; Al-Hazzaa, H.M. Breakfast Eating Habits and Lifestyle Behaviors among Saudi Primary School Children Attending Public Versus Private Schools. Children 2021, 8, 134. https://doi.org/10.3390/children8020134

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Jabri L, Al-Rasheedi AA, Alsulaimani RA, Al-Hazzaa HM. Breakfast Eating Habits and Lifestyle Behaviors among Saudi Primary School Children Attending Public Versus Private Schools. Children. 2021; 8(2):134. https://doi.org/10.3390/children8020134

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Jabri, Laura, Amani A. Al-Rasheedi, Rayan A. Alsulaimani, and Hazzaa M. Al-Hazzaa. 2021. "Breakfast Eating Habits and Lifestyle Behaviors among Saudi Primary School Children Attending Public Versus Private Schools" Children 8, no. 2: 134. https://doi.org/10.3390/children8020134

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