Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-27T12:59:06.518Z Has data issue: false hasContentIssue false

Nutrient intake and gender differences among Saudi children

Published online by Cambridge University Press:  23 November 2021

Hebah A. Kutbi*
Affiliation:
Clinical Nutrition Department, Faculty of Applied Medical Sciences, King Abdulaziz University, P.O. Box 80215, Jeddah21589, Saudi Arabia
*
*Corresponding author: Hebah A. Kutbi, email hkutbi@kau.edu.sa

Abstract

Dietary surveillance is necessary to determine community needs for nutrition interventions. Yet, the nutrient intake of Saudi children has not been previously investigated. The objective of the present study is to evaluate dietary data of Saudi children and investigate gender differences in nutrient intake. In this cross-sectional study, dietary data of 424 Saudi children (6–12 years of age) were collected using telephone-administered single 24-h dietary recall. Three 24-h dietary recalls were collected from a subsample of 168 children (39⋅6 %) and compared with the Dietary Recommended Intakes (DRIs). Nutrient intakes and proportions of children meeting the DRI requirements were similar and did not vary by children's gender. Over two-thirds of the children had an adequate usual intake of vitamin B12, and over half had adequate intakes (AIs) of vitamin C and phosphorus. On the other hand, our data indicated that low proportions of children consumed adequate usual intakes of magnesium and vitamin E. Over half of the children in our sample met the AI for sodium and vitamin D. Only small proportions of children met the AI for calcium, potassium and fibre. Cholesterol and saturated fat intake exceeded the limits of 300 mg and 10 % of total energy intake by 13⋅7 % (n 23) and 80⋅4 % (n 135) of the sample, respectively. Suboptimal intake of several micronutrients was observed among children, suggesting an urgent need to identify barriers to high-quality diet and to develop evidence-based interventions to promote optimal dietary efficacy for children in Saudi Arabia.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of The Nutrition Society

Introduction

Dietary adequacy is crucial for children to support healthy growth and development and prevent nutrition-related diseases later in life(Reference Martins, Toledo Florencio and Grillo1,Reference Walker, Wachs and Gardner2) . However, existing international data indicate that many children fail to achieve dietary recommendations for multiple nutrients(Reference Fiorentino, Landais and Bastard3Reference Lee and Park5). Thus, abundant research has been conducted to understand factors that could influence eating behaviours and dietary intake of children.

Recent studies suggest that dietary intake and preferences of children are influenced by gender, but findings in this regard were mixed. Lytle et al. observed similar dietary patterns for boys and girls in the USA(Reference Lytle, Seifert and Greenstein6). In Europe, several studies reported that girls tend to consume more fruits than boys and have a stronger preference for vegetables(Reference Le Bigot Macaux7Reference Cooke and Wardle10), whereas boys tend to have a greater preference for meat, processed meat, eggs and high-sugar and energy-dense foods than girls(Reference Cooke and Wardle10). In a study conducted among Polish pre-schoolers, significant gender differences in multiple nutrients were observed, such as protein, saturated fat and carbohydrate(Reference Merkiel-Pawlowska and Chalcarz11). However, research studies investigating gender differences in nutrient intakes among school-aged children are scarce.

Children are particularly vulnerable to dietary inadequacy due to higher requirements associated with physiological development and growth(Reference Walker, Wachs and Gardner2). Furthermore, many children demonstrate a strong preference for some foods, while rejecting others(Reference Kutbi12). In particular, school-aged children tend to demonstrate independence in selecting food choices(Reference Bassett, Chapman and Beagan13). These dietary behaviours may limit dietary variety and, therefore, affect dietary adequacy. In the Middle East, children's diet has been shifted from traditional dietary patterns to a Westernised diet characterised by high intakes of fast-food, energy-dense snacks and sugar-sweetened beverages(Reference Amin, Al-Sultan and Ali14,Reference Musaiger, Hassan and Obeid15) . Alongside, nutrient inadequacies have been documented, with suboptimal intakes of fibre, iron, zinc, calcium and vitamin D and excessive intakes of sugar, fat and saturated fat(Reference Musaiger, Hassan and Obeid15). However, dietary intake studies in the Gulf countries, particularly in Saudi Arabia, are scarce. In fact, the need for dietary data in Saudi Arabia has been previously suggested(Reference Nasreddine, Kassis and Ayoub16). Hence, the present study aimed to (1) evaluate the nutrient intake of Saudi children in relation to dietary recommendations and (2) investigate gender differences in nutrient intake. Our findings will inform policies and guide intervention programmes aimed at promoting healthy dietary habits early in life.

Materials and methods

Study sample

We aimed to recruit at least 176 boys and 176 girls based on the sample size calculation method suggested by Hulley et al., with 95 % confidence level, 80 % power, mean energy intake of 1200 ± 350 kcal/d with a minimum of 10 % difference in energy intake between boys and girls (obtained from a pilot of 36 children which has been excluded from the total sample) and standardised effect size of 0⋅34(Reference Hulley, Cummings and Browner17). Data were collected between October 2020 and February 2021. Mothers of school-aged children (6–12 years old) were invited to participate in the present study using social media channels. An online link included information on study objectives and protocol and consent for participation. The mothers were requested to answer questions on the sociodemographic characteristics of the child (age, gender, region of residence, maternal and paternal education status, maternal age and employment status, and paternal involvement in child feeding). We also asked the mothers about the appropriate date and time for communication to collect the dietary data of the child. Data of healthy Saudi children aged 6–12 years were included. The exclusion criteria include non-Saudi children and children with food allergy or any medical health condition. The final analyses included data of 424 Saudi children. The present study was conducted following the guidelines laid down in the Declaration of Helsinki. The study protocol was approved by the Faculty of Applied Medical Sciences Ethics Committee of King Abdulaziz University (FAMS-EC-2020-0010). Digital informed consent was obtained from all study participants.

Dietary assessment

The assessment of dietary data was conducted using a single 24-h dietary recall within 2 weeks from survey data collection. A subsample of 168 children (39⋅6 %) was randomly selected to report three non-consecutive 24-h recalls (two weekdays and one weekend day). The within-person mean of the three 24-h dietary recalls was calculated and used along with the single 24-h recall data for the other children to estimate the mean intake of the total sample(Reference Tooze18). We aimed in the present study to evaluate nutrient intake from dietary food sources. Thus, we did not collect data pertaining to supplement use. A reminder text message has been sent to each mother a day before the scheduled time. During the telephone interview, mothers were educated on how to express the amount and type of food consumed by the child. We also shared pictures of serving tools to further assist in estimating the portion size of each food consumed. Mothers were requested to have the child and persons responsible for child feeding nearby and participate in the interview.

Dietary data were entered into a nutrient analysis software (Nutritics version 5.09, Dublin, Ireland) to evaluate intakes of energy, macro- and micronutrients based on Arabic foods and popular Saudi/Gulf recipes. If a food recipe was not available, information was inserted manually based on standardised recipes and later validated by two registered dietitians. Nutrient intakes of the subsample that reported three 24-dietary recalls (n 168) were later used to determine proportions of children who met the dietary recommendations. Given that no specific nutrient recommendations have been established for the populations in the Gulf countries, nutrient intakes of the children were compared with the U.S. and Canada's Dietary Recommended Intakes (DRIs), which have been published by the Food and Nutrition Board of the Institute of Medicine. In fact, the U.S./Canada DRIs have been widely used across the multi-ethnic populations(Reference Morales-Suárez-Varela, Rubio-López and Ruso19Reference Retondario, Silva and Salgado21). Mean intakes of phosphorus, magnesium and vitamins E, C and B12 within the Estimated Average Requirements (EARs) were used to determine proportions of children with adequate nutrient intake. Mean intakes of dietary fibre, sodium, potassium, calcium and vitamin D at or above the adequate intakes (AIs) were used to determine if the children were meeting the AI(22,23) . Furthermore, mean intakes of cholesterol and saturated fat (>300 mg and >10 % of total energy intake, respectively) were used to identify proportions of children exceeding the recommendations of the American Academy of Pediatrics(Reference Committee on nutrition24).

Statistical methods

Descriptive statistics were expressed as frequency (percentage), median (interquartile range) and mean ± standard deviation. The Mann–Whitney test was used to compare the intakes of nutrients for children reporting single 24-h dietary recall with the intake of children reporting three 24-h dietary recalls and to examine differences in energy and nutrient intakes by gender. The χ 2 test was used to evaluate gender differences in sociodemographic characteristics and proportions of children with nutrient intake at or above the DRI requirements (EAR or AI). To evaluate gender differences in sociodemographic characteristics, α = 0⋅050 was used to infer significance. Bonferroni adjustments for multiple testing in dietary intake was performed; gender differences in dietary intake were determined to be significant at α = 0⋅003, whereas gender differences in proportions of children meeting the DRI requirements were set at α = 0⋅007. All statistical analyses were performed using two-sided tests carried out by the Statistical Packages for Social Sciences (SPSS) version 24.0 (Armonk, NY, USA).

Results

Sociodemographic characteristics of children

Approximately half of the children were boys (49⋅5 %, n 210). Sociodemographic characteristics of the sample are presented in Table 1. The mean age of boys and girls included in the present study were 8⋅58 ± 1⋅86 and 8⋅76 ± 1⋅84 years old, respectively. Three-quarters of the mothers (75⋅2 %, n 319) and two-thirds of fathers (63⋅2 %, n 268) had a college degree or higher. The majority of fathers were involved in child feeding (76⋅9 %, n 223). No significant gender difference was observed in the proportion of children by the groups of sociodemographic variables (P > 0⋅050).

Table 1. Number (proportion) of children by gender and sociodemographic characteresticsa

a Data are presented as number (proportion).

Dietary intake of children

Intakes of nutrients for children reporting single 24-h dietary recall and children reporting three 24-h dietary recalls were all similar (P > 0⋅050). The mean energy intake of the total sample was 1312 ± 348 kcal, with a median intake of 1247 kcal (1079–1482 kcal). Mean energy intake of boys aged 6–8 years old (1329 ± 342 kcal) did not statistically significantly differ than that of girls (1298 ± 333 kcal), P = 0⋅645 (Fig. 1). Similarly, the mean energy intake of boys aged 9–12 years old (1366 ± 372 kcal) did not statistically significantly differ than that of girls (1261 ± 341 kcal), P = 0⋅055.

Fig. 1. Distribution of estimated energy intake by age and gender (n 424): (a) estimated energy intake of boys by age; (b) estimated energy intake of girls by age.

Macronutrients’ contribution to total energy intake by children's age and gender are presented in Fig. 2. No significant difference was observed in the mean proportions of macronutrient intakes between boys and girls (P > 0⋅003), as shown in Table 2. Similarly, mean intakes of macro- and micronutrients were not found to be statistically significantly different in boys than girls (P > 0⋅007).

Fig. 2. Macronutrients’ contribution to total energy intake by child gender and age (n 424): (a) contribution of macronutrients of boys by age; (b) contribution of macronutrients of girls by age.

Table 2. Dietary intakes of children stratified by child age and gender

Significance was set at α = 0⋅003 based on Bonferroni correction.

Assessment of children's nutrient intakes in relation to DRI requirements

To estimate the number of children meeting the EAR or the AI requirement of each nutrient, only data of children who reported multiple dietary recalls were included (Table 3). Thus, the total sample included 168 children, wherein 50 % of the sample consisted of boys (n 84). No gender differences in proportions of children meeting the DRI requirements were observed (P > 0⋅007).

Table 3. Differences by gender in the number (proportion) of children meeting the DRI requirements, based on a subset of the sample (children reporting three 24-h recalls)

AI, adequate intake; DRI, Dietary Recommended Intake; EAR, estimated average requirement.

Significance was set at α = 0⋅007 based on the Bonferroni correction.

Over two-thirds of the children (78⋅0 %) had an adequate usual intake of vitamin B12 (n 131), and over half of the sample had AIs of vitamin C (68⋅5 %, n 115) and phosphorus (56⋅0 %, n 94). On the other hand, our data indicated that low proportions of children were having adequate usual intakes of magnesium (45⋅8 %, n 77) and vitamin E (9⋅52 %, n 16).

The majority of children in our sample (92⋅9 %, n 156) met the AI for sodium and 50⋅6 % met the AI for vitamin D (n 85). Only small proportions of children met the AI for calcium (5⋅36 %, n 9), potassium (2⋅98 %, n 5) and fibre (1⋅19 %, n 2). Cholesterol and saturated fat intake exceeded the limits of 300 mg and 10 % of total energy intake by 13⋅7 % (n 23) and 80⋅4 % (n 135) of the sample, respectively.

Discussion

It is well recognised that dietary adequacy is indispensable to promote the growth and development of children. This study aimed to evaluate the nutrient intake of Saudi children and investigate gender differences in relation to dietary recommendations. Dietary intakes of boys and girls were similar. Many children had inadequate usual intakes of vitamin C and E, phosphorus and magnesium, and most children had usual intake below the AI for calcium, potassium and fibre. On the other hand, high intakes of cholesterol and saturated fat were observed. These findings suggest an urgent need to identify barriers to high-quality diet and to develop evidence-based interventions to promote optimal dietary efficacy.

Although previous studies indicated that food choices and dietary patterns might vary by child's gender(Reference Le Bigot Macaux7Reference Cooke and Wardle10), our data showed similar nutrient intakes for boys and girls. According to existing data, unhealthy food choices are highly prevalent among Saudi children, demonstrated by daily consumption of sweets, sugar-sweetened beverages and energy-dense foods(25). As such, it is possible that the lack of variability in nutrient intake is due to similarities in dietary habits or patterns. Further studies are needed to understand dietary behaviours of Saudi children. Specifically, future research may explore determinants of nutrient intake and food choices among Saudi children.

Across ages and genders, macronutrient distribution was consistent with the recommended ranges(26). Carbohydrate was the main source of energy, followed by fat and protein. The American Academy of Pediatrics recommends that children's intake of cholesterol and saturated fat should be below 300 mg and 10 % of total energy intake, respectively(Reference Committee on nutrition24). In accordance with international data(Reference Amin, Al-Sultan and Ali14,Reference Musaiger, Hassan and Obeid15) , high cholesterol and saturated fat intakes were observed among children in our sample. These observations support the previously reported data that show high consumption of fast food among Saudi children(Reference Amin, Al-Sultan and Ali14,Reference Musaiger, Hassan and Obeid15) .

In the present study, most children had inadequate fibre intake and consumed low amount of potassium. Dietary fibre and potassium could be obtained from the consumption of whole grains, fruits and vegetables, which are often associated with high-quality diet and dietary variety(Reference Vadiveloo, Dixon and Mijanovich27). Dietary fibre has been particularly recommended for its health promotion characteristics(Reference Haack and Byker28). However, most Saudi children do not achieve the optimal amount of fruit and vegetables. A study conducted among 725 children in Saudi Arabia reported that 69 and 71 % of the sample were not consuming fruits and vegetables, respectively, on a daily basis, whereas only 0⋅9 % were meeting the recommendations of fruit and vegetable consumption(29).

The home food environment has a paramount effect on the consumption of fruits and vegetables among children(Reference Yeh, Ickes and Lowenstein30). The limited availability and accessibility to fruits and vegetables at home can be a major determinant of low fruits and vegetable intake(Reference Yeh, Ickes and Lowenstein30). Additionally, the low price per calorie for unhealthy food options, such as sugary foods and drinks in high-income countries, may also limit the consumption of healthy food options, such as fruits and vegetables, compared to unhealthy foods(Reference Headey and Alderman31).

AIs of dietary calcium and vitamin D in children are important for normal bone mineralisation and rickets prevention(Reference Stallings32). In the present study, the mean calcium intake appeared to be very low compared to the AI for calcium. Very large proportions of school-aged children consuming an inadequate amount of calcium were also observed in several studies(Reference Fiorentino, Landais and Bastard3,Reference Abizari, Buxton and Kwara33,Reference Al-Musharaf, Al-Othman and Al-Daghri34) . A sample of Saudi elementary school children had a mean calcium intake that represented ≤60 % of the RDA requirement and a mean vitamin D intake of approximately 23 % of the RDA(Reference Al-Musharaf, Al-Othman and Al-Daghri34). Another study investigated the association of calcium intake with children's diet observed a significant positive strong correlation with the consumption of milk and dairy products, whereas a very weak correlation with non-dairy beverages was reported(Reference Storey, Forshee and Anderson35). Further, a study by Alsubaie showed that approximately 32 % of children aged between 7 and 12 years did not consume milk or dairy products on a daily basis, whereas only 1⋅9 % were adherent to dairy intake recommendations(29). On the other hand, the mean usual intake of vitamin D among children in the present study exceeded the AI, suggesting that the expected prevalence of inadequacy is low(22). Nonetheless, high prevalence of vitamin D deficiency has been frequently documented. For instance, a study conducted by Mansour and Alhadidi evaluated the prevalence of vitamin D deficiency among Saudi children in Jeddah, Saudi Arabia, and reported a prevalence of 54⋅9 %(Reference Mansour and Alhadidi36). Given that diet of the Saudi population has been frequently reported to be low in vitamin D(Reference Al-Musharaf, Al-Othman and Al-Daghri34,Reference Mumena and Kutbi37) , supplementation of vitamin D may require further consideration.

Food sources of phosphorus and magnesium include a variety of protein foods, such as meats, poultry, seafood, eggs and legumes. However, the dietary data indicate inadequate intake of these nutrients among children of the older age group (9–12 years old), whereas the younger group (6–8 years old) were exceeding the EAR for dietary phosphorus and magnesium. This is most likely due to the higher requirements for the older group which make it more difficult to achieve(38). Similar findings have been reported by Nasreddine et al., of which large proportions of children in Saudi Arabia did not meet the respective requirements for these nutrients(Reference Nasreddine, Kassis and Ayoub16).

Due to its negative impact on physical and cognitive development in children, undernutrition associated with suboptimal intake of micronutrients must be addressed(Reference Walker, Wachs and Gardner2). Dietary adequacy can be achieved by consuming a balanced diet containing diverse foods, which may increase the potential to obtain a variety of nutrients(Reference Ruel39,Reference Zhao, Yu and Tan40) . Thus, intervention programmes to promote dietary variety may improve the nutritional status of children. Providing milk and dairy products and calcium-fortified foods and beverages may help children to achieve the optimal intake of calcium and phosphorus. When adequate calcium is not achieved, health professionals must consider recommending calcium supplements to maintain bone health. Additionally, fibre intake among children was found to be insufficient, whereas high intakes of saturated fat and cholesterol were observed. Interventions should focus on reducing intakes of highly processed foods and snacks, fried and fast foods, and processed meats and encourage the consumption of fibre-rich foods such as fruits and vegetables, whole grains, nuts and seeds. Children may also benefit from nutrition-based curriculum programmes to promote fruit and vegetable intakes and enhance children's diet.

The present study is one of the first to evaluate the dietary intake of Saudi children and gender differences, responding to the gap in the literature and guiding future research and intervention programmes. Even though dietary assessment has been conducted using phone interviews, studies suggest that telephone-administered dietary data produce acceptable estimates of nutrient intakes(Reference Posner, Borman and Morgan41). However, the study is limited by the convenient sampling technique, as only participants who have access to social media were recruited. Thus, our finding could be only generalisable to children of mothers with access to social media platforms. Based on current data, 96 % of the Saudi population has internet access, and 25 million Saudis are active users of social media(42,43) . Yet, future studies with systematically randomly sampled children are needed to determine the generalisable to all Saudi children.

Conclusion

In summary, nutrient intakes of children were similar and did not vary by gender. The dietary data showed micronutrient inadequacies in Saudi children, with suboptimal intakes of key nutrients including fibre, calcium and phosphorus. Our findings should guide future research to further investigate barriers for optimal micronutrient intakes among Saudi children and factors. Results of the present study can serve as baseline data for fortification programmes and will inform policy-makers and other stakeholders, including funding agencies and non-governmental organisations, to address barriers to optimal nutrition and to develop culturally tailored evidence-based intervention programmes aimed at enhancing the nutritional health of Saudi children.

Acknowledgments

The author thanks all members of the Dietary Intake of Saudis project for their contribution to data collection. The author specially thanks Fatima Abdulhakeem annd Najwan Jannadi from the Nutrition Assessment Lab for their support during dietary data entry.

This research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.

Informed consent was obtained from all subjects involved in the study.

The data used to support the findings of this study are available from the corresponding author upon request.

The author declares no conflict of interest.

References

Martins, VJ, Toledo Florencio, TM, Grillo, LP, et al. (2011) Long-lasting effects of undernutrition. Int J Environ Res Public Health 8, 18171846. doi:10.3390/ijerph8061817.CrossRefGoogle ScholarPubMed
Walker, SP, Wachs, TD, Gardner, JM, et al. (2007) Child development: risk factors for adverse outcomes in developing countries. Lancet 369, 145157. doi:10.1016/S0140-6736(07)60076-2.CrossRefGoogle ScholarPubMed
Fiorentino, M, Landais, E, Bastard, G, et al. (2016) Nutrient intake is insufficient among Senegalese urban school children and adolescents: results from two 24 h recalls in state primary schools in Dakar. Nutrients 8. doi:10.3390/nu8100650.CrossRefGoogle ScholarPubMed
Eyberg, CJ, Pettifor, JM & Moodley, G (1986) Dietary calcium intake in rural black South African children: the relationship between calcium intake and calcium nutritional status. Hum Nutr Clin Nutr 40, 6974.Google ScholarPubMed
Lee, HA & Park, H (2015) Correlations between poor micronutrition in family members and potential risk factors for poor diet in children and adolescents using Korean national health and nutrition examination survey data. Nutrients 7, 63466361.CrossRefGoogle ScholarPubMed
Lytle, LA, Seifert, S, Greenstein, J, et al. (2000) How do children's eating patterns and food choices change over time? Results from a cohort study. Am J Health Promot 14, 222228.CrossRefGoogle ScholarPubMed
Le Bigot Macaux, A (2001) Eat to live or live to eat? Do parents and children agree? Public Health Nutr 4, 141146. doi:10.1079/phn2000109.CrossRefGoogle ScholarPubMed
Reynolds, KD, Baranowski, T, Bishop, DB, et al. (1999) Patterns in child and adolescent consumption of fruit and vegetables: effects of gender and ethnicity across four sites. J Am Coll Nutr 18, 248254. doi:10.1080/07315724.1999.10718859.CrossRefGoogle ScholarPubMed
Diehl, JM (1999) Food preferences of 10- to 14-year-old boys and girls. Schweiz Med Wochenschr 129, 151161.Google ScholarPubMed
Cooke, LJ & Wardle, J (2005) Age and gender differences in children's food preferences. Br J Nutr 93, 741746. doi:10.1079/bjn20051389.CrossRefGoogle ScholarPubMed
Merkiel-Pawlowska, S & Chalcarz, W (2017) Gender differences and typical nutrition concerns of the diets of preschool children – the results of the first stage of an intervention study. BMC Pediatr 17. doi:10.1186/s12887-017-0962-1.CrossRefGoogle ScholarPubMed
Kutbi, HA (2020) The relationships between maternal feeding practices and food neophobia and picky eating. Int J Environ Res Public Health 17. doi:10.3390/ijerph17113894.CrossRefGoogle ScholarPubMed
Bassett, R, Chapman, GE & Beagan, BL (2008) Autonomy and control: the co-construction of adolescent food choice. Appetite 50, 325332. doi:10.1016/j.appet.2007.08.009.CrossRefGoogle ScholarPubMed
Amin, TT, Al-Sultan, AI & Ali, A (2008) Overweight and obesity and their association with dietary habits, and sociodemographic characteristics among male primary school children in Al-Hassa, Kingdom of Saudi Arabia. Indian J Community Med 33, 172181. doi:10.4103/0970-0218.42058.CrossRefGoogle ScholarPubMed
Musaiger, AO, Hassan, AS & Obeid, O (2011) The paradox of nutrition-related diseases in the Arab countries: the need for action. Int J Environ Res Public Health 8, 36373671. doi:10.3390/ijerph8093637.CrossRefGoogle Scholar
Nasreddine, LM, Kassis, AN, Ayoub, JJ, et al. (2018) Nutritional status and dietary intakes of children amid the nutrition transition: the case of the eastern Mediterranean region. Nutr Res 57, 1227. doi:10.1016/j.nutres.2018.04.016.CrossRefGoogle ScholarPubMed
Hulley, SB, Cummings, SR, Browner, WS, et al. (2013) Designing Clinical Research, 4th ed., Philadelphia, PA, USA: Lippincott Williams & Wilkins.Google Scholar
Tooze, JA (2020). Estimating usual intakes from dietary surveys: Methodologic challenges, analysis approaches, and recommendations for low- and middle-income countries.Google Scholar
Morales-Suárez-Varela, M, Rubio-López, N, Ruso, C, et al. (2015) Anthropometric status and nutritional intake in children (6–9 years) in Valencia (Spain): the ANIVA study. Int J Environ Res Public Health 12, 1608216095. doi:10.3390/ijerph121215045.CrossRefGoogle ScholarPubMed
Ali, HI, Ng, SW, Zaghloul, S, et al. (2013) High proportion of 6 to 18-year-old children and adolescents in the United Arab Emirates are not meeting dietary recommendations. Nutr Res 33, 447456. doi:10.1016/j.nutres.2013.03.008.CrossRefGoogle Scholar
Retondario, A, Silva, DLF, Salgado, SM, et al. (2016) Nutritional composition of school meals serving children from 7 to 36 months of age in municipal day-care centres in the metropolitan area of Curitiba, Paraná, Brazil. Brit J Nutr 115, 22032211. doi:10.1017/S0007114516001434.CrossRefGoogle ScholarPubMed
Institute of Medicine (2000) Dietary Reference Intakes: Applications in Dietary Assessment. Washington, DC: The National Academies Press, 305 p.Google Scholar
Food and Nutrition Board of the Institute of Medicine NAoS. Nutrient Recommendations: Dietary Reference Intakes (DRI). NIH Office of Dietary Supplements. https://ods.od.nih.gov/HealthInformation/Dietary_Reference_Intakes.aspx.Google Scholar
Committee on nutrition, (1998) Cholesterol in childhood. Pediatrics 101(1), 141147. doi:10.1542/peds.101.1.141.CrossRefGoogle Scholar
Alsubaie ASR (2017) Consumption and correlates of sweet foods, carbonated beverages, and energy drinks among primary school children in Saudi Arabia. Saudi Med J 38, 10451050. doi:10.15537/smj.2017.10.19849.CrossRefGoogle Scholar
Institute of Medicine (2005) Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids. Washington, DC: The National Academies Press, https://doi.org/10.17226/10490.Google Scholar
Vadiveloo, M, Dixon, LB, Mijanovich, T, et al. (2014) Development and evaluation of the US healthy food diversity index. Br J Nutr 112, 15621574. doi:10.1017/S0007114514002049.CrossRefGoogle ScholarPubMed
Haack, SA & Byker, CJ (2014) Recent population adherence to and knowledge of United States federal nutrition guides, 1992-2013: a systematic review. Nutr Rev 72, 613626. doi:10.1111/nure.12140.CrossRefGoogle ScholarPubMed
Alsubaie ASR (2018) Intake of fruit, vegetables and milk products and correlates among school boys in Saudi Arabia. Int J Adolesc Med Health, 33. doi:10.1515/ijamh-2018-0051.Google Scholar
Yeh, MC, Ickes, SB, Lowenstein, LM, et al. (2008) Understanding barriers and facilitators of fruit and vegetable consumption among a diverse multi-ethnic population in the USA. Health Promot Int 23, 4251. doi:10.1093/heapro/dam044.CrossRefGoogle ScholarPubMed
Headey, DD & Alderman, HH (2019) The relative caloric prices of healthy and unhealthy foods differ systematically across income levels and continents. J Nutr 149, 20202033.CrossRefGoogle ScholarPubMed
Stallings, VA (1997) Calcium and bone health in children: a review. Am J Ther 4, 259273. doi:10.1097/00045391-199707000-00007.CrossRefGoogle ScholarPubMed
Abizari, AR, Buxton, C, Kwara, L, et al. (2014) School feeding contributes to micronutrient adequacy of Ghanaian schoolchildren. Br J Nutr 112, 10191033. doi:10.1017/S0007114514001585.CrossRefGoogle ScholarPubMed
Al-Musharaf, S, Al-Othman, A, Al-Daghri, NM, et al. (2012) Vitamin D deficiency and calcium intake in reference to increased body mass index in children and adolescents. Eur J Pediatr 171, 10811086. doi:10.1007/s00431-012-1686-8.CrossRefGoogle ScholarPubMed
Storey, ML, Forshee, RA & Anderson, PA (2004) Associations of adequate intake of calcium with diet, beverage consumption, and demographic characteristics among children and adolescents. J Am Coll Nutr 23, 1833. doi:10.1080/07315724.2004.10719339.CrossRefGoogle ScholarPubMed
Mansour, MM & Alhadidi, KM (2012) Vitamin D deficiency in children living in Jeddah, Saudi Arabia. Indian J Endocrinol Metab 16, 263269. doi:10.4103/2230-8210.93746.CrossRefGoogle ScholarPubMed
Mumena, WA & Kutbi, HA (2021) Household food security status, food purchasing, and nutritional health of Saudi girls aged 6-12 years. Prog Nutr 22. doi:10.23751/pn.v22i4.10424.Google Scholar
World Health Organization (2004) Vitamin and Mineral Requirements in Human Nutrition, 2nd edition, Bangkok, Thailand: World Health Organization.Google Scholar
Ruel, MT (2003) Operationalizing dietary diversity: a review of measurement issues and research priorities. J Nutr 133, 3911S3926S. doi:10.1093/jn/133.11.3911S.CrossRefGoogle ScholarPubMed
Zhao, W, Yu, K, Tan, S, et al. (2017) Dietary diversity scores: an indicator of micronutrient inadequacy instead of obesity for Chinese children. BMC Public Health 17, 440. doi:10.1186/s12889-017-4381-x.CrossRefGoogle ScholarPubMed
Posner, BM, Borman, CL, Morgan, JL, et al. (1982) The validity of a telephone-administered 24-hour dietary recall methodology. Am J Clin Nutr 36, 546553. doi:10.1093/ajcn/36.3.546.CrossRefGoogle ScholarPubMed
The World Bank. Individuals using the internet (% of population) – Saudi Arabia. https://data.worldbank.org/indicator/IT.NET.USER.ZS?end=2019&locations=SA&start=1990.Google Scholar
General Authority for Statistics. Gastat: 83.83% of individuals (12 to 65 years) use internet, and 92% use cell phone. https://www.stats.gov.sa/en/news/254.Google Scholar
Figure 0

Table 1. Number (proportion) of children by gender and sociodemographic characteresticsa

Figure 1

Fig. 1. Distribution of estimated energy intake by age and gender (n 424): (a) estimated energy intake of boys by age; (b) estimated energy intake of girls by age.

Figure 2

Fig. 2. Macronutrients’ contribution to total energy intake by child gender and age (n 424): (a) contribution of macronutrients of boys by age; (b) contribution of macronutrients of girls by age.

Figure 3

Table 2. Dietary intakes of children stratified by child age and gender

Figure 4

Table 3. Differences by gender in the number (proportion) of children meeting the DRI requirements, based on a subset of the sample (children reporting three 24-h recalls)