Next Article in Journal
Compromised Hindgut Microbial Digestion, Rather Than Chemical Digestion in the Foregut, Leads to Decreased Nutrient Digestibility in Pigs Fed Low-Protein Diets
Next Article in Special Issue
No Difference in Tolerance between Wheat and Spelt Bread in Patients with Suspected Non-Celiac Wheat Sensitivity
Previous Article in Journal
Traditional Individual and Environmental Determinants of Healthy Eating in Vihiga County, Western Kenya
Previous Article in Special Issue
Adherence to Gluten-Free Diet Restores Alpha Diversity in Celiac People but the Microbiome Composition Is Different to Healthy People
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Nutritional Status of Saudi Children with Celiac Disease Following the Ministry of Health’s Gluten-Free Diet Program

by
Shiekhah S. Allowaymi
1,
Manal Abdulaziz Binobead
1,
Ghedeir M. Alshammari
1,*,
Ali Alrasheed
2,
Mohammed A. Mohammed
1 and
Mohammed Abdo Yahya
1
1
Department of Food Science and Nutrition, College of Food and Agricultural Sciences, King Saud University, Riyadh 11451, Saudi Arabia
2
General Administration of Nutrition, Ministry of Health, Riyadh 11345, Saudi Arabia
*
Author to whom correspondence should be addressed.
Nutrients 2022, 14(14), 2792; https://doi.org/10.3390/nu14142792
Submission received: 3 June 2022 / Revised: 1 July 2022 / Accepted: 6 July 2022 / Published: 7 July 2022

Abstract

:
This study aimed to evaluate the nutritional status of Saudi children with celiac disease (CD) who followed the Ministry of Health’s gluten-free diet (GFD) program. This study involved 66 children with CD (29 boys and 37 girls) from 5 hospitals belonging to the Ministry of Health. Socioeconomic characteristics were obtained using a structured questionnaire. Anthropometric indices were measured using a body composition analyzer. Dietary intake was assessed using three 24 h dietary records. The biochemical parameters were determined in the hospitals’ laboratories. According to the findings, the majority of respondents had ages ranging from 10 to 13 years, a father and mother with a university education, a high family income, and 5 to 7 family members. Carbohydrates and protein intake for both genders were significantly higher than the DRI’s recommended dietary intake. However, the majority of nutrients consumed were at levels significantly lower than the DRI. Both genders had normal anthropometric indices, with girls having at significantly higher indices than boys. The biochemical parameters of both genders were comparable and within the normal range, except for vitamin D, which was below the normal range. The most important factors influencing nutritional status were age for both genders, and family income and number of family members for boys. In conclusion, data obtained for nutrient intake, anthropometric indicators, body composition, and biochemical analysis indicated that CD children following the Ministry of Health GFD program have a generally good nutritional status.

1. Introduction

Gastrointestinal diseases include irritable bowel syndrome, inflammatory bowel disease (IBD), celiac disease (CD), gastrointestinal cancer, and esophageal reflux [1]. CD is chronic autoimmune disease enteritis caused by an immune reaction to gluten, which then causes the small intestine to present villi atrophy and malabsorption [2]. It has been more commonly studied in recent years due to its prevalence, its diagnosis with new tools, and the comprehensive screening of individuals considered to be at risk for CD [3]. CD has recently been identified as a common worldwide disease affecting children and adults [4].
CD is a chronic immune disorder that occurs after ingestion of gluten among genetically predisposed people, which causes progressive atrophy of the villi in the small intestine [5]. Gluten is a protein complex in grains such as wheat, rye, barley, or any products to which gluten is added [6]. CD prevalence is about 1% worldwide, with slight differences between countries [3]. Currently, CD is considered a high-risk disease, especially in children with CD, due to many factors, such as the malabsorption of nutrients due to the need to follow a lifelong GFD, along with the limited availability and high cost of such dietary requirements [4]. Such factors may lead to a negative impact on growth and nutritional status [7].
Symptoms of CD often occur in the gastrointestinal system, such as nausea, vomiting, diarrhea, constipation, abdominal pain, and abdominal distention [8]. A major complication of CD is malabsorption caused by villi damage in the small intestine, which leads to nutritional deficiencies that involve a lack of macro-and micronutrients [9]. As a result, a lack of nutrients leads to other symptoms that may impair growth and cause health issues, such as anemia, weight loss, depression, increased mortality rate, abnormal growth, osteoporosis, tooth enamel defects, delayed puberty, and dermatitis herpetiform [10].
Currently, the only treatment available for CD is the lifelong GFD, which consists of the dietary exclusion of gluten [11]. Adherence to GFD is a difficult challenge for celiac patients of all ages, particularly for children and adolescents [12]. Following GFD mean the exclusion of several foods in dietary habits; such exclusion may lead to deficiency in some nutrients, affecting patients’ nutritional status [13]. Studies on patients with CD after a long time of adhering to a GFD showed a lower intake of energy and other nutrients than recommended, and patients were advised to take in more fats, proteins, and simple carbohydrates [14].
In Saudi Arabia, several studies found a prevalence of CD ranging between 1–4%, which makes Saudi Arabia one of the countries with a high prevalence of CD [15]. Sarkhy et al. [2] expected a high prevalence rate of CD among children in Saudi Arabia. Therefore, in May 2018, the Saudi Ministry of Health approved a program providing a gluten-free diet for celiac patients by the General Nutrition Administration. The number of registered patients in the program throughout the country was 2608 patients. The gluten-free diet is distributed monthly through 33 hospitals across the country. In the Riyadh region, the number of registered CD patients in the program reached 976, including approximately 98 children. Therefore, this study has been conducted to evaluate the nutritional status of Saudi children with celiac disease (CD) following the Ministry of Health’s gluten-free diet program.

2. Materials and Methods

2.1. Sample Size and Participants

The sample size was calculated based on a database of the General Nutrition Department at the Saudi Ministry of Health, where 98 children were registered in the Ministry of Health for the GFD program in Riyadh city. The samples (both genders) with an age range from 6 to 16 years were selected, using the convenience sampling technique, from 5 hospitals belonging to the Ministry of Health that provided the GFD. All patients had previously tested positive for the anti-tissue transglutaminase IgA class antibodies (anti-tTG antibodies), diagnosed with CD, and registered in the GFD program for more than 6 months. All selected CD patients (66 out of 98) followed a GFD and did not have cancer, type 1 diabetes, food allergies (except gluten), hepatitis C, kidney failure, or follow a special diet for any reason. Only 66 participants met the inclusion criteria; other participants were excluded, and the selected patients were divided into two groups—boys and girls.

2.2. Data Collection

The data were collected using a structural questionnaire, approved by an expert committee, from January to December 2021 from 5 hospitals, including Al-Iman General Hospital, King Salman Hospital, King Saud Medical City, King Fahad Medical City, and Prince Mohammed Bin Abdulaziz Hospital. The researcher interviewed the patients and their parents via a previously scheduled appointment at the clinic, which was coordinated with the nutrition department at each hospital. One of the parents signed written informed consent before starting the study. Demographic data of the children and their families were collected using a structured questionnaire approved by specialists, and the questionnaire involved questions about age, age at diagnosis, gender, the income of the family, number of family members, and father’s and mother’s education.

2.3. Dietary Intake and Analysis

The patients’ 24 h food intake was tracked using an approved structured questionnaire for the previous three days, two weekdays and one weekend day. The dietary intake included a daily record of all foods consumed during the day, including breakfast, lunch, dinner, and snacks. The patients and their parents had previously received instructions from the researcher and were requested to report an accurate description of food brand name, food amount—using the common measures such as a tablespoon, teaspoon, cup, or size by gram or liter of packaged food—preparation method, and food additives used during cooking. After completion, they were requested to send the description via WhatsApp and were later contacted to clarify all details to ensure that all data were complete. The dietary intake analysis was determined using a nutrition analyzer software program designed for research and clinical purposes (ESHA Food Processor 11.9.13, 2020, ESHA Research, Salem, OR, USA). This software gives a code for each type of food, whether fresh or cooked. Then three 24 h dietary records for each patient were entered, e.g., one cup milk, two slices of gluten-free toast with fried egg, 100 g gluten-free pasta, cooked, 60 g green salad, etc. After that, the program analyzed the food entered and provided the nutrients, such as calories, carbohydrates, protein, etc. The nutrients obtained were compared with the program for dietary reference intake [16].

2.4. Anthropometric Measurements

All anthropometric and body composition data for the children, including weight (kg), height (cm), body mass index (BMI, kg/m2), fat mass (FM), fat-free mass (FFM), and muscle mass (MM) (kg and %), were measured by the researcher, using a body composition analyzer (model number MC-780MA, TANITA Corp., Tokyo, Japan) and a stadiometer for height, with light clothes, socks, and shoes removed. BMI-for-age and height-for-age were determined by plotting the z-score using the national growth chart for Saudi children and adolescents [17]. The classification was a short stature as ˂−2 standard deviation (SD), overweight as BMI ˃ +1 SD, obesity as BMI ˃ +2 SD, and thinness as BMI ˂ −2 SD [18].

2.5. Biochemical Parameters

At the patients’ hospital laboratory, biochemical parameters, such as vitamin D (nmol/L), hemoglobin (g/dL), albumin (g/L), sodium (mmol/L), potassium (mmol/L), alkaline phosphatase (U/L), and calcium (mmol/L), were measured. The machine manufacturer’s manual was used to obtain the reference ranges.

2.6. Statistical Analysis

The data were analyzed using the Statistical Package for the Social Sciences (SPSS, version 26). Categorical variables were described as a frequency and percent, and continuous variables were described as a mean ± standard deviation (SD). A one-sample t-test was used to compare the means of nutrient intake of children to the dietary reference intake (DRI). An independent sample t-test was used to compare the means of biochemical parameters between genders, as well as to compare body composition. The chi-square test was used to compare categorical variables between genders. To determine the correlation between anthropometric indices as a dependent variable and socioeconomic characteristics as independent variables, Spearman correlation coefficients and simple linear regression analysis were used. Values less than or equal to 0.05 were considered statistically significant.

2.7. Ethical Considerations

This study was multicenter-approved by: King Saud University, Subcommittee on the Ethics of Human and Social Research, Ref No. KSU-HE-20-633; the Ministry of Health, Riyadh, First Health Cluster by the Institutional Review Board Committee at King Saud Medical City, Ref No. H1RI-29-Jun21-01; and the Ministry of Health, Riyadh, Second Health Cluster by the Institutional Review Board Committee at King Fahad Medical City, Ref No. 21-209E.

3. Results

3.1. Demographic Characteristics

Table 1 shows the frequency distribution of children with CD following the Ministry of Health GFD program for both genders, according to demographic characteristics. The participants with CD were 29 boys and 37 girls, ranging from 6 to 16 years old. The frequency distribution according to age showed that most children with CD in both genders fell within the age range of 10 to 13 years (44.8% for boys and 45.9% for girls). The lowest percent of CD frequency was observed for boys 14 to 16 years (20.7%), while that of girls was from 6 to 9 years (16.2%). With a few exceptions, the age at diagnosis for both genders was comparable.
The parents of both groups had either a secondary school or university education, with the majority having a diploma or university certificate, followed an intermediate or secondary school education. The majority of boys’ fathers (62.1%) had a diploma or university education, followed an intermediate or secondary school education (27.6%), while girls’ fathers (40.6%) had an intermediate or secondary education, followed by a diploma or university certificate (37.8%). Boys’ and girls’ mothers had a diploma or university education (41.4% and 45.9%, respectively), followed by an intermediate or secondary school education (37.9%, 27%). The percentage of fathers and mothers who obtained a postgraduate degree was low. However, for girls, the percentage of fathers who obtained a postgraduate degree was higher than that of mothers, and parents of girls who obtained a postgraduate degree outnumbered parents boys with such degrees. Furthermore, for both sexes, the percentage of illiterate fathers was lower than that of illiterate mothers.
The results showed that monthly income for most families in both groups was ≥SAR 16,000 (37.9% for boys and 27.0% for girls), followed by intermediate income (SAR 6000–10,000) for boys (31%), and low income for girls’ family (SAR 2000–5000). The number of family members for both groups’ families ranged from 5 to 7 members (41.4% for boys and 64.9% for girls), followed by members ranging from 8 to 10, with a few members ˃ 10. Family members of 2 to 4 were more common for boys’ family (24.1%) compared to girls’ (8.1%).

3.2. Dietary Intake

To determine the average nutrient intake according to food consumed by the children, the ESHA program was used, and the children’s nutrient intake was then compared with the average dietary reference intake (DRI) of each nutrient. Using a Student t-test, the mean of each constituent was compared with the mean of the dietary requirement intake. Table 2 summarizes the average intake of nutrients (three 24 h dietary records) compared to the dietary reference intake (DRI) of children with CD following the Ministry of Health GFD program. The results showed that both genders’ average intake of calories and macronutrients was significantly different (p ≤ 0.01) compared to the DRI, except for fat, and some vitamins and minerals. Calories and fiber were significantly lower than the DRI. Protein and carbohydrates were significantly (p ≤ 0.01) higher than the DRI, but no significant difference in fat intake was noted for either gender. In the case of vitamins, most dietary intakes of vitamins were significantly lower (p ≤ 0.01, p ≤ 0.05) than the DRI, including vitamins A, B1, B6, D, E, and folate. However, for girls, the intake of vitamins B2, B3, and C were significantly lower than for boys, while vitamin K was significantly lower in boys than in girls, except for vitamin B12, which was consumed above the DRI by both genders. All mineral intake was inadequate in both genders; it was significantly lower (p ≤ 0.01) than the DRI, except for iron, which was significantly lower in girls than in boys, and sodium was not significantly low in either gender.

3.3. Anthropometrics Measurements

The BMI-for-age, height-for-age, fat mass (%), and muscle mass (%) of the children with CD following the Ministry of Health GFD program were measured. The BMI-for-age and height-for-age were classified according to the Saudi national growth chart z-score standard deviation (SD). As shown in Table 3 and according to the chi-square test, there was a significant (p ≤ 0.01) difference in classification degree for both genders regarding BMI-for-age and height-for-age. For BMI-for-age, the majority of children were normal (89.7% for boys and 67.6% for girls). Among children, the overweight and thinness characteristics, with a low percentage difference between genders, showed a higher percentage for girls than boys. Obesity was not common among boys, with only one case in girls. Additionally, height-for-age for both genders generally was normal (86.2% for boys and 97.3% for girls). Short stature was uncommon, but was more common in boys than in girls (13.8%, 2.7%, respectively).
The FM and MM% for the children with CD, according to the body composition analyzer, were varied between genders. According to the chi-square results, there was a significant (p ≤ 0.01) difference in classification level for both genders regarding FM and MM. Both genders showed high rates of the normal level of FM (65.5%, for boys and 54.1% for girls), followed by a high level (27.6% for boys and 43.2% for girls), with an increased percent for girls, followed by a low level. The majority of respondents had normal MM (62.1% for boys and 51.4% for girls), followed by a low level (31.0% for boys and 45.9% for girls), with an increased percentage in girls. As shown in Table 4, a comparison of anthropometric measurements and body composition between boys and girls showed that girls had significantly (p ≤ 0.05, ≤0.01) higher mean values for all anthropometric measurements, except for FMM, MM, and SMM, which were significantly (p ≤ 0.01) higher in boys than girls.

3.4. Biochemical Parameters

Table 5 shows the data for biochemical parameters of CD children. According to the independent t-test, there was no significant difference in all parameters, except vitamin D and potassium, which differed significantly (p ≤ 0.05) between boys and girls. All parameters were within the normal range in both genders, with the exception of vitamin D levels, which were below the normal range.

3.5. Factors Associated with Nutritional Status of Children

Table 6 summarizes the Spearman correlation and simple linear regression analysis performed on the demographic characteristics of the CD children as independent variables, and anthropometric indices as dependent variables. The independent variables were found to be positively or negatively correlated with the anthropometric indices (BMI, FM, and MM). According to simple regression analysis, the age of CD children was positively and significantly correlated (p ≤ 0.01) with all anthropometric indices, with a high effect observed on MM for both genders. The results for parents’ education showed a negative correlation with all anthropometric indices for both genders, but the correlation was not significant. Monthly income was positively and significantly (p ≤ 0.05) correlated with anthropometric indices in boys. The number of family members, on the other hand, had a positive and significant (p ≤ 0.05) correlation with FM and MM in boys, but did not affect anthropometric indices in girls.

4. Discussion

The purpose of this study was to investigate the nutritional status of Saudi children with CD following the Ministry of Health’s GFD program in Riyadh city. CD is two to five times more common in children than in adults, and children are more likely to exhibit the classical CD, with gastrointestinal symptoms, whereas adults are more likely to have non-classical CD [19]. According to the demographic characteristics, the education level of the children’s parents was either secondary school or university education, and the percentage of illiterate fathers was lower than that of illiterate mothers. However, the difference in the effects of maternal and paternal education is especially likely to be biased upwards in absolute value. One of the most important factors determining children’s nutritional status is their parents’ education. The education of parents, as well as mothers and fathers separately, has a direct relationship with nutrition; that is, as educational standards improve, children’s nutritional status improves. This could be due to educated parents playing a larger role in pursuing the appropriate strategy for making a larger share of household resources available to children [20]. The education of mothers appears to be an important factor in children’s nutrition status. There is a consistent and strong link between increased maternal education and child survival and development [21]. An educated mother likely brings up her child in a better way than an uneducated one. Father’s education is necessary for the sound nutritional status of the child. Essential care for the children also depends on the father’s education level because the main household income earners in Saudi Arabia are predominantly males [22]. For the majority of the children’s families, the income was sufficient to meet their needs.
The findings revealed that the families under investigation had more family members, which could be attributed to the fact that the parents’ economic situation in Saudi Arabia is stable, as well as the general environment, which encourages parents to have more members. According to the research of Fentaw et al. [23], the majority of undernourished children have more than five family members. Poor allocation of household resources makes it impossible to meet the nutritional needs of all members equally. Children in large families, in particular, have limited access to adequate and nutritious food. Another study conducted by Ajao et al. [24] found that children in large families had lower food availability than children in small families.
According to children’s dietary intake, both genders consumed more protein, carbohydrates, a reasonable amount of fat, and some vitamins (B2 for boys), but consumed fewer other nutrients than the DRI. According to the study by Kozioł-Kozakowska et al. [25], celiac children consumed few calories and did not meet the dietary requirements after one year of the GFD. Similarly, it has been reported that children with CD consume more protein than is recommended, owing primarily to the consumption of animal protein foods [26]. The high carbohydrate intake by the children with celiac under investigation is largely dependent on the GFD provided by the Saudi Ministry of Health, which includes flour, bread, pasta, oats, crackers, and cornflakes.
Furthermore, the main dish for lunch and dinner was rice with meat and GF pasta or macaroni, which are high in carbohydrates. Additionally, a review concluded that GF products might have a higher content of carbohydrates than gluten-containing products [13]. Fiber intake for both groups falls short of the recommended level, consistent with a study conducted in Spain on 70 children and adolescents with CD, which found that fiber intake was less than 25 g per day [4]. Low fiber intake, as well as a low intake of some vitamins and minerals in CD children, is primarily due to the low intake of vegetables and fruits [27], and a GFD was low in fiber because of flour refining [14].
According to a German study, both genders with CD had significantly lower average micronutrient intakes than the general population, particularly vitamins B1, B2, B6, and folate [14]. The lack of such nutrients could be attributed to the consumption of a GFD, which contains significantly less vitamin D, E, B12, iron, folate, magnesium, potassium, and sodium than gluten-containing products [28]. Furthermore, it should be noted that the lack of exposure to sunlight, rather than diet, is the primary cause of vitamin D deficiency [25]. A study conducted in Jeddah, Saudi Arabia, to assess the prevalence of vitamin D deficiency among Saudi children revealed a 54.9% prevalence [29]. Studies among Saudi children indicated inadequate intake of minerals and nutrients [27,30]. Mineral deficiency in celiac patients could be caused by an insufficient amount of minerals in the GFD [31]. A recent study on celiac children found no significant increase in iron intake for children who followed the GFD for a year [25]. In keeping with the fact that people with celiac disease frequently develop anemia, the children under investigation were not given iron supplements, so the results reflect their actual iron intake.
The results of BMI-for-age, height-for-age, FM%, and MM% showed that the majority of children were normal, with few exceptions. These findings are consistent with those reported by Fernández et al. [4], who found that the majority of the children had normal BMI, with only a small percentage being overweight or obese. Sansotta et al. [32] also conducted a study in two countries that included 125 Italian and 140 American children with CD who followed a GFD for more than 6 months and observed an evaluated BMI-for-age z-score and percentiles for Italian and American children. In contrast, Moya et al. [33] found that BMI z-score and height z-score did not change significantly after one year of diagnosis, which could be attributed to poor adherence to the GFD. According to these findings, the present results support that adherence to a GFD will enhance the absorption of nutrients and thus improve growth and nutritional status [34].
The percentage of FM and MM in children varied between the sexes, with girls having a high percentage of FM and boys having a high percentage of MM. The present results were consistent with previous studies in Mexico and Poland that measured the body composition of girls and boys and found a tendency to increase FM% in girls and MM% in boys [35,36]. The current results of children’s body composition confirmed that, as part of their physiology, girls naturally store more fat than boys [37].
When anthropometric indices of boys were compared to those of girls, the majority of indices for girls were significantly higher than those for boys, with the exception of FFM, MM, and SMM percentages, which were significantly higher in boys. The current results were in agreement with a previous study conducted in Croatia among 1149 boys and girls that compared body composition between genders, which showed that girls had significantly higher FM, FM, and FMI than boys and significantly lower FFM than boys [38]. Moreover, a study showed that the percentage of FM was higher in Czech girls than boys, and FFM (kg) and SMM (kg) were higher in boys than girls [39].
In contrast to the current study, González-Ruz et al. [40] conducted a study with 42 boys and 85 girls in Latin America and discovered no significant differences in anthropometric characteristics between boys and girls. Furthermore, a study of 35 celiac children and adolescents in Spain discovered no gender differences in anthropometric measurements such as weight, height, and BMI [4]. In addition, Al-Hazzaa et al. [41] found no significant differences in anthropometric measurements between boys and girls in a study of 1149 children and adolescents from schools in Jeddah, Saudi Arabia. The difference between this study and previous studies could be attributed to the age distribution of boys and girls, as well as the number of participants, which revealed that girls outnumbered boys.
The biochemical parameters were within the normal range, and no significant differences between genders were observed except for vitamin D, which was higher in girls than boys, but still significantly lower than the reference range for both genders. The current findings agreed with a previous study conducted in Spain on 70 children and adolescents on a GFD for a long period, which found that biochemical values in CD children were within normal ranges, with no statistical difference between genders, except for vitamin D levels, which were below normal reference values [4]. Furthermore, a study conducted in Canada on 140 CD children of both genders 6 months after beginning a GFD revealed that the common deficiency among them was vitamin D [42]. A variety of factors cause vitamin D deficiency. Vitamin D3 is primarily produced in the skin by converting 7-dehydrocholesterol under the influence of ultraviolet light B (UVB) from the sun or other UVB sources [43].
A correlation between CD children’ demographic characteristics as independent variables and anthropometric indices as dependent variables was carried out using the Spearman correlation and simple linear regression analysis. A significant and positive correlation of age with BMI, FM, and MM was found to be natural; as age increases, so should anthropometric measurements, as indicated by AlZoubi et al. [44], who observed a positive correlation between age and BMI for Syrian children in Saudi Arabia. Furthermore, age and FM were found to have a significant and positive correlation among Saudi students [45]. In addition, a study among 2182 Chilean children showed a positive and significant correlation between age and MM [46]. Regarding family monthly income, a positive and significant correlation was observed in boys only, due to increasing the percentage of income in the high category SAR ≥ 16,000 (37.9%) compared to girls’ family income. High income enables families to obtain high-quality foods, resulting in an increase in anthropometric measurements. However, Alazzeh et al. [47] discovered a negative relationship between family income and obesity in male students from the Hail region of Saudi Arabia. This could be due to the limited food resources available to low-income families. Previous research on foreign students in Saudi Arabia (44, 45) obtained similar results. The findings for the number of family members being positively and significantly correlated with boys’ FM and MM contradicted the findings of a study on celiac patients in Pakistan, which found no correlation between the number of family members and anthropometric measurements [48]. Moreover, Ajao et al. [24] discovered that children in large families had lower food availability than children in small families. However, a recent study in Jeddah, Saudi Arabia, found that children from families with 4–6 members or more tended to have higher anthropometric measurements than those with 3 or fewer family members [49]. According to our study, socioeconomic characteristics represent a major factor favoring the wellbeing of children. Therefore, a detailed future study on the impacts of socioeconomic characteristics is required. Additionally, a study on the importance of early diagnosis and the early introduction of a GFD to improve the CD children’s nutritional status is recommended, as well as to evaluate of the effect of a GFD on clinical manifestations and histologic findings regarding CD children in Saudi Arabia.

5. Conclusions

The study focused on the nutritional status of children with CD who had been following the Ministry of Health’s strict GFD for a long time, which was expected to contain a large number of restrictions that could affect the children’s quality of life and nutritional status. According to the data, children with CD who followed a strict GFD for more than 6 months generally had a good nutritional status. The socioeconomic characteristics were varied between respondents. In the present study, a deficit in some nutrients when comparing CD children’s nutrient intake to the DRI was observed. However, the protein, carbohydrates, and fat intake were adequate. Moreover, the majority of the children had normal anthropometric measurements. Except for vitamin D, children’s biochemical parameter values were within the reference range. Boys’ and girls’ ages favor nutritional status, as evidenced by a positive correlation with anthropometric indices. Furthermore, family income and size had a positive effect on the nutritional status of boys. These findings support the need for personalized nutritional education that focuses not only on eliminating gluten from the diet, but also on reducing nutritional deficiencies by selecting nutrient-dense foods when a diet deficiency is detected to improve patient well-being.

6. Study Limitation

The current study looks at dietary intake and body composition. However, there are some limitations, such as that a portion of the study was cross-sectional, so the results should be interpreted cautiously. The sample size was low due to the small number of available cases, since this study focuses on a specific region in Saudi Arabia, and due to the size of the country, it is difficult to cover the entire country with one study. Furthermore, the number of patients was greater than 66, but only 66 met the criteria for the study.

Author Contributions

Conceptualization, S.S.A., M.A.B. and G.M.A.; methodology, S.S.A. and M.A.M.; software, M.A.M.; validation, M.A.B. and A.A.; formal analysis, A.A.; investigation, M.A.Y.; resources, G.M.A.; data curation, S.S.A.; writing—original draft preparation, M.A.B.; writing—review and editing, M.A.Y.; visualization, A.A.; supervision, G.M.A.; project administration, M.A.Y.; funding acquisition, G.M.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Researchers Supporting Project, King Saud University, Riyadh, Saudi Arabia, grant number: RSP-2021/84.

Institutional Review Board Statement

This study was multicenter-approved by: King Saud University, Subcommittee on the Ethics of Human and Social Research, Ref No. KSU-HE-20-633; the Ministry of Health, Riyadh, First Health Cluster by the Institutional Review Board Committee at King Saud Medical City, Ref No. H1RI-29-Jun21-01; and the Ministry of Health, Riyadh, Second Health Cluster by the Institutional Review Board Committee at King Fahad Medical City, Ref No. 21-209E.

Informed Consent Statement

All subjects gave their informed consent for inclusion before they participated in the study.

Data Availability Statement

The datasets used and analyzed during the current study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors extend their thanks to the Researchers Supporting Project (RSP-2021/84), King Saud University, Riyadh, Saudi Arabia for supporting this work.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Azouz, N.P.; Rothenberg, M.E. Mechanisms of gastrointestinal allergic disorders. J. Clin. Investig. 2019, 129, 1419–1430. [Google Scholar] [CrossRef] [PubMed]
  2. Sarkhy, A.; El Mouzan, M.I.; Saeed, E.; Alanazi, A.; Alghamdi, S.; Anil, S.; Assiri, A. Socioeconomic impacts of gluten-free diet among Saudi children with celiac disease. Pediatr. Gastroenterol. Hepat. Nutr. 2016, 19, 162–167. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Singh, P.; Arora, A.; Strand, T.A.; Leffler, D.A.; Catassi, C.; Green, P.H.; Kelly, C.P.; Ahuja, V.; Makharia, G.K. Global prevalence of celiac disease: Systematic review and meta-analysis. Clin. Gastroenterol. Hepat. 2018, 16, 823–836. e822. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Fernández, C.B.; Varela-Moreiras, G.; Úbeda, N.; Alonso-Aperte, E. Nutritional status in Spanish children and adolescents with celiac disease on a gluten free diet compared to non-celiac disease controls. Nutrients 2019, 11, 2329. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Saeed, A.; Assiri, A.; Assiri, H.; Ullah, A.; Rashid, M. Celiac disease in Saudi children: Evaluation of clinical features and diagnosis. Saudi Med. J. 2017, 38, 895. [Google Scholar] [CrossRef] [PubMed]
  6. Fasano, A.; Catassi, C. Celiac disease. N. Engl. J. Med. 2012, 367, 2419–2426. [Google Scholar] [CrossRef]
  7. Ting, A.; Katz, T.; Sutherland, R.; Liu, V.; Tong, C.W.; Gao, Y.; Lemberg, D.A.; Krishnan, U.; Gupta, N.; Coffey, M.J. Evaluating the Dietary Intakes of Energy, Macronutrients, Sugar, Fiber, and Micronutrients in Children with Celiac Disease. J. Pediatr. Gastroenterol. Nutr. 2020, 71, 246–251. [Google Scholar] [CrossRef]
  8. Halfdanarson, T.R.; Litzow, M.R.; Murray, J.A. Hematologic manifestations of celiac disease. Blood 2007, 109, 412–421. [Google Scholar] [CrossRef] [Green Version]
  9. Ludvigsson, J.F.; Leffler, D.A.; Bai, J.C.; Biagi, F.; Fasano, A.; Green, P.H.; Hadjivassiliou, M.; Kaukinen, K.; Kelly, C.P.; Leonard, J.N. The Oslo definitions for coeliac disease and related terms. Gut 2013, 62, 43–52. [Google Scholar] [CrossRef]
  10. Hill, I.D.; Dirks, M.H.; Liptak, G.S.; Colletti, R.B.; Fasano, A.; Guandalini, S.; Hoffenberg, E.J.; Horvath, K.; Murray, J.A.; Pivor, M. Guideline for the diagnosis and treatment of celiac disease in children: Recommendations of the North American Society for Pediatric Gastroenterology, Hepatology and Nutrition. J. Pediatr. Gastroenterol. Nutr. 2005, 40, 1–19. [Google Scholar] [CrossRef] [Green Version]
  11. Nestares, T.; Martín-Masot, R.; Labella, A.; Aparicio, V.A.; Flor-Alemany, M.; López-Frías, M.; Maldonado, J. Is a gluten-free diet enough to maintain correct micronutrients status in young patients with celiac disease? Nutrients 2020, 12, 844. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Rodrigues, M.; Yonamine, G.H.; Fernandes Satiro, C.A. Rate and determinants of non-adherence to a gluten-free diet and nutritional status assessment in children and adolescents with celiac disease in a tertiary Brazilian referral center: A cross-sectional and retrospective study. BMC Gastroenterol. 2018, 18, 15. [Google Scholar]
  13. Penagini, F.; Dilillo, D.; Meneghin, F.; Mameli, C.; Fabiano, V.; Zuccotti, G.V. Gluten-free diet in children: An approach to a nutritionally adequate and balanced diet. Nutrients 2013, 5, 4553–4565. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Martin, J.; Geisel, T.; Maresch, C.; Krieger, K.; Stein, J. Inadequate nutrient intake in patients with celiac disease: Results from a German dietary survey. Digestion 2013, 87, 240–246. [Google Scholar] [CrossRef] [PubMed]
  15. Al-Hussaini, A.; Troncone, R.; Khormi, M.; AlTuraiki, M.; Alkhamis, W.; Alrajhi, M.; Halal, T.; Fagih, M.; Alharbi, S.; Bashir, M.S. Mass screening for celiac disease among school-aged children: Toward exploring celiac iceberg in Saudi Arabia. J. Pediatr. Gastroenterol. Nutr. 2017, 65, 646–651. [Google Scholar] [CrossRef] [PubMed]
  16. Otten, J.J.; Hellwig, J.P.; Meyers, L.D. DRI, Dietary Reference Intakes: The Essential Guide to Nutrient Requirements; National Academies Press: Washington, DC, USA, 2006. [Google Scholar]
  17. El Mouzan, M.I.; Al Salloum, A.A.; Alqurashi, M.M.; Al Herbish, A.S.; Al Omar, A. The LMS and Z scale growth reference for Saudi school-age children and adolescents. Saudi J. Gastroenterol. Off. J. Saudi Gastroenterol. Assoc. 2016, 22, 331. [Google Scholar] [CrossRef] [PubMed]
  18. WHO. Training Course on Child Growth Assessment; WHO: Geneva, Switzerland, 2008; pp. 17–25. [Google Scholar]
  19. Poddar, U. Pediatric and adult celiac disease: Similarities and differences. Indian J. Gastroenterol. 2013, 32, 283–288. [Google Scholar] [CrossRef] [PubMed]
  20. Kunwar, R.; Pillai, P.B. Impact of education of parents on nutritional status of primary school children. Med. J. Armed Forces India 2002, 58, 38–43. [Google Scholar] [CrossRef] [Green Version]
  21. Vikram, K.; Vanneman, R. Maternal education and the multidimensionality of child health outcomes in India. J. Biosocial. Sci. 2020, 52, 57–77. [Google Scholar] [CrossRef]
  22. Bilkis, B.; Khurshida, K. Effects of Education Level of Father and Mother on Perceptions of Breastfeeding. J. Enam Med. Coll. 2012, 2, 67–73. [Google Scholar]
  23. Fentaw, R.; Bogale, A.; Abebaw, D. Prevalence of child malnutrition in agro-pastoral households in afar regional state of Ethiopia. Nutr. Res. Pract. 2013, 7, 122–131. [Google Scholar] [CrossRef] [PubMed]
  24. Ajao, K.O.; Ojofeitimi, E.O.; Adebayo, A.A.; Fatusi, A.O.; Afolabi, O.T. Influence of family size, household food security status, and child care practices on the nutritional status of under-five children in Ile-Ife. Niger. Afr. J. Reprod. Health 2010, 14, 117–126. [Google Scholar]
  25. Kozioł-Kozakowska, A.; Salamon, D.; Grzenda-Adamek, Z.; Krawczyk, A.; Duplaga, M.; Gosiewski, T.; Kowalska-Duplaga, K. Changes in diet and anthropometric parameters in children and adolescents with celiac disease—One Year of Follow-Up. Nutrients 2021, 13, 4306. [Google Scholar] [CrossRef] [PubMed]
  26. Forchielli, M.L.; Diani, L.; Labriola, F.; Bolasco, G.; Rocca, A.; Salfi, N.C.; Leone, A.; Miserocchi, C.; Andreozzi, L.; Levi Della Vida, F.; et al. Gluten deprivation: What nutritional changes are found during the first year in newly diagnosed coeliac children? Nutrients 2019, 12, 60. [Google Scholar] [CrossRef] [Green Version]
  27. Kutbi, H.A. Nutrient intake and gender differences among Saudi children. J. Nutr. Sci. 2021, 10, e99. [Google Scholar] [CrossRef]
  28. Vici, G.; Belli, L.; Biondi, M.; Polzonetti, V. Gluten free diet and nutrient deficiencies: A review. Clin. Nutr. 2016, 35, 1236–1241. [Google Scholar] [CrossRef]
  29. Mumena, W.A.; Kutbi, H.A. Household food security status, food purchasing, and nutritional health of Saudi girls aged 6–12 years. Process Nutr. 2020, 22, e2020082. [Google Scholar]
  30. Nasreddine, L.M.; Kassis, A.N.; Ayoub, J.J.; Naja, F.A.; Hwalla, N.C. Nutritional status and dietary intakes of children amid the nutrition transition: The case of the Eastern Mediterranean Region. Nutr. Res. 2018, 57, 12–27. [Google Scholar] [CrossRef]
  31. Di Nardo, G.; Villa, M.P.; Conti, L.; Ranucci, G.; Pacchiarotti, C.; Principessa, L.; Raucci, U.; Parisi, P. Nutritional deficiencies in children with celiac disease resulting from a gluten-free diet: A Systematic Review. Nutrients 2019, 11, 1588. [Google Scholar] [CrossRef] [Green Version]
  32. Sansotta, N.; Guandalini, S.; Romano, S.; Amirikian, K.; Cipolli, M.; Tridello, G.; Barzaghi, S.; Jericho, H. The gluten free diet’s impact on growth in children with celiac disease in two different countries. Nutrients 2020, 12, 1547. [Google Scholar] [CrossRef]
  33. Moya, D.A.; Nugent, C.A.; Baker, R.D.; Baker, S.S. Celiac Disease Nutritional Status and Poor Adherence to Follow-up. Clin. Pediatr. 2020, 59, 649–655. [Google Scholar] [CrossRef] [PubMed]
  34. Wierdsma, N.J.; Bokhorst-De Van Der Schueren, V.; Marian, A.E.; Berkenpas, M.; Mulder, C.J.; Van Bodegraven, A.A. Vitamin and mineral deficiencies are highly prevalent in newly diagnosed celiac disease patients. Nutrients 2013, 5, 3975–3992. [Google Scholar] [CrossRef] [PubMed]
  35. Costa-Urrutia, P.; Vizuet-Gámez, A.; Ramirez-Alcántara, M.; Guillen-González, M.Á.; Medina-Contreras, O.; Valdes-Moreno, M.; Musalem-Younes, C.; Solares-Tlapechco, J.; Granados, J.; Franco-Trecu, V. Obesity measured as percent body fat, relationship with body mass index, and percentile curves for Mexican pediatric population. PLoS ONE 2019, 14, e0212792. [Google Scholar] [CrossRef] [PubMed]
  36. Rusek, W.; Baran, J.; Leszczak, J.; Adamczyk, M.; Baran, R.; Weres, A.; Inglot, G.; Czenczek-Lewandowska, E.; Pop, T. Changes in children’s body composition and posture during puberty growth. Children 2021, 8, 288. [Google Scholar] [CrossRef] [PubMed]
  37. Pramfalk, C.; Pavlides, M.; Banerjee, R.; McNeil, C.A.; Neubauer, S.; Karpe, F.; Hodson, L. Sex-specific differences in hepatic fat oxidation and synthesis may explain the higher propensity for NAFLD in men. J. Clin. Endocrinol. Metab. 2015, 100, 4425–4433. [Google Scholar] [CrossRef] [Green Version]
  38. Kasović, M.; Štefan, L.; Neljak, B.; Petrić, V.; Knjaz, D. Reference data for fat mass and fat-free mass measured by Bioelectrical Impedance in Croatian youth. Int. J. Environ. Res. Public Health 2021, 18, 850. [Google Scholar] [CrossRef]
  39. Zbořilová, V.; Přidalová, M.; Kaplanová, T. Body fat mass, percent body fat, fat-free mass, and skeletal muscle mass reference curves for Czech children aged 6–11 years. Children 2021, 8, 366. [Google Scholar] [CrossRef]
  40. González-Ruíz, K.; Medrano, M.; Correa-Bautista, J.E.; García-Hermoso, A.; Agostinis-Sobrinho, C.; Correa-Rodríguez, M.; Rio-Valle, J.S.; González-Jiménez, E.; Ramírez-Vélez, R.; Prieto-Benavides, D.H.; et al. Comparison of bioelectrical impedance analysis, slaughter skinfold-thickness equations, and dual-energy X-ray absorptiometry for estimating body fat percentage in Colombian children and adolescents with excess of adiposity. Nutrients 2018, 10, 1086. [Google Scholar] [CrossRef] [Green Version]
  41. 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, 3668. [Google Scholar] [CrossRef]
  42. Deora, V.; Aylward, N.; Sokoro, A.; El-Matary, W. Serum vitamins and minerals at diagnosis and follow-up in children with celiac disease. J. Pediatr. Gastroenterol. Nutr. 2017, 65, 185–189. [Google Scholar] [CrossRef]
  43. Barrea, L.; Savanelli, M.C.; Di Somma, C.; Napolitano, M.; Megna, M.; Colao, A.; Savastano, S. Vitamin D and its role in psoriasis: An overview of the dermatologist and nutritionist. Rev. Endo. Metab. Disord. 2017, 18, 195–205. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. AlZoubi, K.M.; Alshammari, G.M.; Al-Khalifah, A.S.; Mohammed, M.A.; Aljuhani, H.E.; Yahya, M.A. Nutritional status and associated risk factors of Syrian children’s residents in the Kingdom of Saudi Arabia. Children 2021, 8, 1053. [Google Scholar] [CrossRef] [PubMed]
  45. Mohammed, M.A.; Alshammari, G.M.; Babiker, E.E. Evaluation of nutritional status of foreign students at King Saud University, Kingdom of Saudi Arabia. Public Health Nutr. 2021, 24, 43–51. [Google Scholar] [CrossRef] [PubMed]
  46. Cossio Bolaños, M.A.; Andruske, C.L.; De Arruda, M.; Sulla-Torres, J.; Urra-Albornoz, C.; Rivera-Portugal, M.; Luarte-Rocha, C.; Pacheco-Carrillo, J.; Gómez-Campos, R. Muscle mass in children and adolescents: Proposed equations and reference values for assessment. Front. Endocrin 2019, 10, 583. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Alazzeh, A.Y.; AlShammari, E.M.; Smadi, M.M.; Azzeh, F.S.; AlShammari, B.T.; Epuru, S.; Banu, S.; Bano, R.; Sulaiman, S.; Alcantara, J.C. Some socioeconomic factors and lifestyle habits influencing the prevalence of obesity among adolescent male students in the hail region of Saudi Arabia. Children 2018, 5, 39. [Google Scholar] [CrossRef] [Green Version]
  48. Imran, S.; Tanweer, A. Nutritional Assessment of Celiac Patients of Pakistan. Pak. J. Zool. 2018, 50, 619–627. [Google Scholar] [CrossRef]
  49. Al-Agha, A.E.; Adam, A.; Almaghrabi, A.; Zainalabidin, A.; Ahmed, H.M.; Almuwallad, R.A.; Aljahdali, S.H.; Alharbi, S.; Alhowig, W. Influence of various environmental factors on the growth of children and adolescents in Jeddah, Kingdom of Saudi Arabia. Acta Bio Med. Atenei Parm. 2020, 91, 21. [Google Scholar]
Table 1. Distribution of the frequency of children (n = 66) with CDs following the Ministry of Health GFD program, according to demographic characteristics.
Table 1. Distribution of the frequency of children (n = 66) with CDs following the Ministry of Health GFD program, according to demographic characteristics.
VariablesBoys (n = 29)Girls (n = 37)
Frequency%Frequency%
Age (years)
6–91034.5616.2
10–131344.81745.9
14–16620.71437.9
Age at diagnosis (years)
2–61137.91027.0
7–111551.71437.8
12–16310.41335.2
Fathers’ education
Illiterate/Primary26.925.4
Secondary Intermediate827.61540.6
Diploma/University1862.11437.8
Postgraduate13.4616.2
Mothers’ education
Illiterate/Primary413.8718.9
Secondary/Intermediate1137.91027.0
Diploma/University1241.41745.9
Postgraduate26.938.2
Family’s monthly income
SAR 2000–5000517.31027.0
SAR 6000–10,000931.0821.6
SAR 11,000–15,000413.8924.4
≥SAR 16,0001137.91027.0
Number of family members
2–4724.138.1
5–71241.42464.9
8–10827.6821.6
10˃26.925.4
Table 2. The average nutrient intake in relation to dietary reference intakes (DRI) for children with CD following the Ministry of Health GFD program.
Table 2. The average nutrient intake in relation to dietary reference intakes (DRI) for children with CD following the Ministry of Health GFD program.
Items IntakeDRIBoysGirls
Intake (Mean)Differencet-Testp-ValueIntake (Mean)Differencet-Testp-Value
Calories (kcal)18001400.18−399.82−4.80 **0.0001296.15−303.85−4.43 **0.000
Protein (g)3447.3713.373.53 **0.00142.948.934.80 **0.000
Carbohydrates (g)130192.8662.866.22 **0.000172.4442.444.21 **0.000
Fiber (g)2512.85−12.15−10.4 8 **0.00012.51−9.48−8.89 **0.000
Fat (% kcal)3032.052.051.830.12134.484.485.910.213
Vitamin A, RAE (mcg)600326.16−273.84−3.12 **0.004247.09−352.90−9.05 **0.000
Vitamin B1 (mg)0.90.69−0.21−2.42 *0.0220.53−0.37−8.62 **0.000
Vitamin B2 (mg)0.90.940.030.410.6830.72−0.18−3.06 **0.004
Vitamin B3 (mg)129.62−2.37−1.940.0627.97−4.03−5.84 **0.000
Vitamin B6 (mg)1.00.66−0.34−4.93 **0.0000.540.46−9.38 **0.000
Vitamin B12 (mcg)1.82.540.740.850.4031.820.010.040.967
Vitamin C (mg)4536.18−8.82−1.680.10432.24−12.76−3.18 *0.003
Vitamin D (mcg)153.26−11.74−28.86 **0.0002.50−12.50−41.04 **0.000
Vitamin E (mg)111.45−9.55−61.66 **0.0001.59−9.41−44.38 **0.000
Folate, DFE (mcg)300142.09−157.91−11.71 **0.000146.52−153.48−10.60 **0.000
Vitamin K (mcg)6034.71−25.28−2.45 *0.02162.252.250.170.865
Calcium (mg)1300531.45−768.55−16.80 **0.000496.58−803.41−25.47 **0.000
Iron (mg)87.68−0.32−0.440.6666.22−1.78−4.19 **0.000
Magnesium (mg)24097.85−142.14−15.79 **0.00094.64−145.35−17.50 **0.000
Phosphorus (mg)1250494.23−755.76−19.10 **0.000458.84−791.16−19.08 **0.000
Potassium (mg)25001175.18−1324.82−12.29 **0.0001032.87−1267.13−16.97 **0.000
Sodium (mg)18001705.44−94.56−0.760.4551666.19−133.81−0.700.486
Zinc (mg)83.37−4.63−17.96 **0.0003.15−4.85−19.52 **0.000
t-test: * p ≤ 0.05; ** p ≤ 0.01; difference = mean DRI.
Table 3. BMI-for-age, height-for-age, fat mass, and muscle mass of children (n = 66) with CD following the Ministry of Health GFD program.
Table 3. BMI-for-age, height-for-age, fat mass, and muscle mass of children (n = 66) with CD following the Ministry of Health GFD program.
Anthropometric IndexBoys (n = 29)Girls (n = 37)Total (n = 66)
Frequency%Frequency%Frequency%
BMI-for-age
Normal2689.72567.65177.3
Overweight26.9718.9913.6
Obesity0012.711.5
Thinness13.4410.857.6
Height-for-age
Normal2586.23697.36192.4
Short stature413.812.757.6
Fat Mass (%)
Low26.912.734.5
Normal1965.52054.13959.1
High827.61643.22436.4
Muscle Mass (%)
Low931.01745.92639.4
Normal1862.11951.43756.1
High26.912.734.5
Height-for-age defined by normal (˂−1–˃+2 SD), short stature (˂−2 SD); chi-square = 47.51. BMI-for-age defined by normal (˂−1–˂+1 SD), overweight (˃+1 SD), obesity (˃+2 SD), thinness (˂−2 SD); chi-square = 98.12. Boys: FM—low (˂13%), normal (13–23%), high (˃23%); MM—low (˂73%), normal (37–83%), high (˃83%). Girls: FM—(low (˂16%), normal (16–29%), high (˃29%); MM—low (˂67%), normal (67–80%), high (˃80%). FM: chi-square = 29.73; MM: chi-square = 27.36.
Table 4. Anthropometric measurements of the children (n = 66) with CD following the Ministry of Health GFD program according to a body composition analyzer.
Table 4. Anthropometric measurements of the children (n = 66) with CD following the Ministry of Health GFD program according to a body composition analyzer.
Anthropometric IndexBoys (n = 29)Girls (n = 37)t-Testp-Value
Weight (kg)31.79 ± 16.7641.57 ± 18.08−2.25 *0.028
Height (cm)133.52 ± 21.38143.70 ± 14.77−2.19 *0.034
BMI (kg/m2)16.61 ± 3.7919.63 ± 5.57−2.61 *0.011
FM (kg)6.56 ± 5.5813.38 ± 10.77−3.32 **0.002
FFM (kg)25.23 ± 11.8328.20 ± 8.27−1.150.257
MM (kg)23.78 ± 11.2126.65 ± 7.87−1.170.248
SMM (kg)13.80 ± 6.9015.50 ± 4.98−1.110.271
FM (%)18.79 ± 6.6428.68 ± 9.30−4.84 **0.000
FFM (%)81.20 ± 6.6571.32 ± 9.304.83 **0.000
MM (%)76.45 ± 6.2567.38 ± 8.764.71 **0.000
SMM (%)43.82 ± 4.5338.74 ± 5.593.98 **0.000
FMI (kg/m2)3.31 ± 1.946.05 ± 3.96−3.68 **0.001
FFMI (kg/m2)13.30 ± 2.1113.33 ± 2.06−0.060.951
Independent sample t-test; * p ≤ 0.05; ** p ≤ 0.01; SD—standard deviation; BMI—Body Mass Index; FM—Fat Mass; FFM—Fat Free Mass; MM—Muscle Mass; SMM–Skeletal Muscle Mass; FMI—Fat Mass Index; FFMI—Fat Free Mass Index; FM (kg) + FFM (kg) = weight (kg), (FMI (kg/m2) + FFMI (kg/m2) = BMI (kg/m2).
Table 5. Biochemical parameters in relation to reference range for children (n = 66) with CD following the Ministry of Health GFD program.
Table 5. Biochemical parameters in relation to reference range for children (n = 66) with CD following the Ministry of Health GFD program.
VariablesBoys (n = 29)Girls (n = 37)t-Testp-Value *
Mean ± SDRef. RangeMean ± SDRef. Range
Vitamin D (nmol/L)42.11 ± 8.74(75–350)47.44 ± 13.76(75–350)−1.82 *0.034
Hemoglobin (g/dL)13.01 ± 1.47(13.5–18)13.00 ± 0.75(11–15)0.050.963
Albumin (g/L)41.33 ± 8.05(32–45)42.23 ± 1.49(38–54)−0.660.509
Sodium (mmol/L)138.10 ± 1.33(136–145)138.25 ± 1.37(138–145)−0.460.648
Potassium (mmol/L)4.49 ± 0.25(3.50–5.10)4.34 ± 0.24(3.40–4.70)0.510.317
Alkaline Phosphatase (U/L)244.25 ± 48.60(89–365)245.72 ± 56.58(141–460)−0.110.912
Calcium (mmol/L)2.40 ± 0.06(1.63–3.53)2.39 ± 0.05(2.22–2.70)0.520.604
Independent sample t-test; * p ≤ 0.05.
Table 6. Spearman correlation coefficient and simple linear regression analysis between demographic data and some anthropometric indices of children (n = 66) with CD following the Ministry of Health GFD program for boys and girls.
Table 6. Spearman correlation coefficient and simple linear regression analysis between demographic data and some anthropometric indices of children (n = 66) with CD following the Ministry of Health GFD program for boys and girls.
Dependent Variable/Independent VariableBoys (n = 29)Girls (n = 37)
BMIFMMMBMIFMMM
rβ, r2rβ, r2rβ, r2rβ, r2rβ, r2rβ, r2
Age (years)0.616 **0.121 **, 0.3800.686 **0.083 **, 0.3890.865 **0.056 **, 0.7080.509 **0.063 **, 0.2390.653 **0.037 **, 0.3080.710 **0.066 **, 0.536
Father’s education−0.259−0.003, 0.0002−0.314−0.001, 0.00003−0.205−0.003, 0.003−0.215−0.022, 0.021−0.146−0.004, 0.003−0.018−0.003, 0.001
Mother’s education−0.193−0.024, 0.012−0.224−0.016, 0.012−0.279−0.019, 0.069−0.184−0.027, 0.027−0.101−0.012, 0.020−0.058−0.008, 0.004
Family’s education0.265 *0.120 *, 0.1530.222 *0.076 *, 0.1350.334 *0.040 *, 0.147−0.166−0.014, 0.004−0.141−0.003, 0.0010.0660.011, 0.005
Family members0.3670.077, 0.1070.402 *0.059 *, 0.1360.460 *0.038 *, 0.2240.1090.023, 0.0350.1440.014, 0.0480.0250.012, 0.019
* p ≤ 0.05; ** p ≤ 0.01; r = correlation coefficient; β = regression coefficient; partial r2 for independent variables of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Allowaymi, S.S.; Binobead, M.A.; Alshammari, G.M.; Alrasheed, A.; Mohammed, M.A.; Yahya, M.A. Nutritional Status of Saudi Children with Celiac Disease Following the Ministry of Health’s Gluten-Free Diet Program. Nutrients 2022, 14, 2792. https://doi.org/10.3390/nu14142792

AMA Style

Allowaymi SS, Binobead MA, Alshammari GM, Alrasheed A, Mohammed MA, Yahya MA. Nutritional Status of Saudi Children with Celiac Disease Following the Ministry of Health’s Gluten-Free Diet Program. Nutrients. 2022; 14(14):2792. https://doi.org/10.3390/nu14142792

Chicago/Turabian Style

Allowaymi, Shiekhah S., Manal Abdulaziz Binobead, Ghedeir M. Alshammari, Ali Alrasheed, Mohammed A. Mohammed, and Mohammed Abdo Yahya. 2022. "Nutritional Status of Saudi Children with Celiac Disease Following the Ministry of Health’s Gluten-Free Diet Program" Nutrients 14, no. 14: 2792. https://doi.org/10.3390/nu14142792

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop