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The prevalence and nutritional status of adolescent Saudi girls with disordered eating

Published online by Cambridge University Press:  26 August 2022

Ahlam Badreldin El Shikieri*
Affiliation:
College of Applied Medical Sciences, Clinical Nutrition Department, Taibah University, P.O.Box 4583, Al Madinah Al Munawarah 41412, Saudi Arabia
*
*Corresponding author: Ahlam Badreldin El Shikieri, email dn7shiki@hotmail.com; dn7shiki@gmail.com

Abstract

This study on adolescents was intended to assess the prevalence of disordered eating attitudes and the nutritional status of adolescent girls in Saudi Arabia. Disordered eating attitudes and behaviour were assessed using the EAT-26. The type of eating disorder (ED) was determined using Diagnostic statistical manual of mental disorders, fifth edition. The nutritional status of the adolescent girls was determined by measuring their weight and height twice using standard protocols. The BMI-for-age and height-for-age were defined using WHO growth charts. Comparisons between adolescent girls with and without EDs were conducted using SPSS version 26. Eating disorders (EDs) were prevalent among 10⋅2 % of these girls. Other specified feeding or EDs were the most prevalent ED (7⋅6 %), followed by unspecified feeding or eating disorder (2⋅4 %). Anorexia nervosa was common among 0⋅3 % of the girls. The eating disordered adolescents were either overweight (7⋅7 %), obese (10⋅3 %), stunted (7⋅7 %) or severely stunted (2⋅6 %). ANOVA revealed that the BMI-for-age was influenced by age (P = 0⋅028), the type of ED (P = 0⋅019) and the EAT-26 (P < 0⋅0001). Pearson's correlation showed that the EAT-26 score increased significantly with the BMI (r 0⋅22, P = 0⋅0001), height (r 0⋅12, P = 0⋅019) and weight (r 0⋅22, P = 0⋅0001). The early detection of EDs among adolescents is highly recommended to reduce the risk associated with future impaired health status. Nutrition professionals must target adolescents, teachers and parents and provide nutritional education about the early signs and symptoms of ED and the benefits of following a healthy dietary pattern.

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), 2022. Published by Cambridge University Press on behalf of The Nutrition Society

Introduction

The World Health Organization (WHO) defines adolescents as children aged between 10 and 19 years old(1). Their nutritional status dictates their development and health outcomes, including their mental health. Eating disorders (EDs) are psychiatric illnesses described as habitual disturbances in eating and weight-control attitudes with diagnostic criteria based on psychological, behavioural and physiological characteristics unrelated to medical or psychiatric factors(Reference Gandy2). They are the most common psychiatric problems among adolescents.

Various types of EDs have been reported among adolescents. Anorexia nervosa (AN) is characterised by an intense fear of fatness or seeking low body weight and the disturbance of body image(3). The risk factors among this age group include a family history of AN and bulimia nervosa (BN), dissatisfaction regarding parents’ weight and shape, perfectionism and significant concern about feeling fat(Reference Machado, Gonçalves and Martins4). Unspecified feeding or eating disorder (UFED) is present when behaviours cause clinical distress or impairment of functioning. However, the symptoms do not meet the full criteria of any of the feeding or ED criteria, such as AN, BN and binge eating disorders (BED)(5).

Moreover, individuals with the other specified feeding or eating disorder (OSFED) type have either subthreshold symptoms of anorexia or bulimia, mixed features of both disorders or highly atypical eating behaviours. The latter occurs when all the criteria for AN are met, without significant weight loss; the weight might be within or above the normal range(5,Reference Galmiche, Déchelotte and Lambert6) .

Furthermore, there are variations in the prevalence and types of ED among adolescents worldwide, including the Arab world(Reference Musaiger, Al-Mannai and Tayyem7). For instance, the prevalence of EDs among adolescent girls in Arar and Jeddah was 25⋅5 and 33 %, respectively(Reference Fallatah, Al-Hemairy and Al-Ghamidi8,Reference Waseem and Ahmad9) . Additionally, studies revealed that the ED risk is twice as high among girls than boys in Jordan, Libya, Palestine and Syria. Adolescent boys in Kuwait had a higher prevalence of disordered eating attitudes (47⋅3 %) than their counterparts (42⋅8 %)(Reference Musaiger, Al-Mannai and Tayyem7). Among Chinese adolescents, the prevalence of the various types of ED was 1⋅05 % for AN, 2⋅98 % for BN and 3⋅58 % for BED. The prevalence in Africa was lower: AN was <0⋅01 %, BN was 0⋅87 % and BED was 4⋅45 %(Reference Santana, Barros and Costa10). Notably, Europe had the highest percentages of EDs, ranging from 1 to 4 % for AN, 1–2 % for BN and 1–4 % for BED(Reference Santana, Barros and Costa10).

EDs have adverse health effects. Among adolescents, EDs can lead to psychological and permanent physical consequences(Reference Christian and Smith11). Earlier studies have indicated that EDs are associated with an increased risk of overweight/obesity and cardiovascular diseases(Reference Sullivan12). A study in 2017 that assessed the risk of obesity/overweight among adolescents with EDs based on their BMI-for-age revealed high rates of overweight and obesity(Reference Musaiger, Al-Mannai and Tayyem7). In the AFINOS study, among 195 adolescents (97 girls) aged 13–18 years old, 24⋅7 % were at risk of an ED, and 21⋅6 % suffered from being overweight(Reference Veses, Martínez-Gómez and Gómez-Martínez13).

A literature search revealed a limited number of published studies focusing on malnutrition among adolescents with EDs. In our study, malnutrition refers to two conditions: excessive nutrition (overweight and obesity) and its deficiency (wasting, stunted and underweight). Therefore, the aim of the current study was to (1) determine the prevalence of disordered eating attitudes among adolescent Saudi girls and (2) assess the nutritional status of ED girls. It is hypothesised that EDs are common among Saudi adolescent girls, and they suffer from impaired nutritional status.

Method

Study design and participant selection

An epidemiological, cross-sectional, descriptive, community-based comparative study was conducted in Al Madinah Al Munawara, Saudi Arabia, between February and May 2017. Public and private female elementary, intermediate and high schools were targeted to recruit adolescents aged 10–18. Adolescent girls were included irrespective of their socioeconomic status. A list of all girls’ schools was obtained from the Ministry of Education website. The names of the schools were entered into a ballot to select an equal number of public and private schools in the Al Madinah Al Munawarah region. The schools’ headmistresses were then approached with letters issued by the Dean of the College of Applied Medical Sciences at XXX University.

A multistage stratified sampling technique was followed to select the adolescent girls from each school. Girls were randomly selected based on the number of girls aged 10–18 years old in each school, class and sampling fraction. The parents of the chosen girls were sent invitation letters explaining the aim of the study, its duration and the parameters that will be assessed. Their consent was sought before the start of the study. Girls with chronic diseases, such as diabetes mellitus, hypertension, hypo/hyperthyroidism and who were pregnant or lactating were excluded. In these cases, another name from the list of students was selected. A flowchart summarises the recruiting process in Supplementary Figure 1.

Defining and diagnosing EDs

The Eating Attitude Tests 26 (EAT-26) determined the risk of girls’ disordered eating attitudes and behaviours. It was previously validated in a study conducted in Saudi Arabia(Reference Taha, Abu-Zaid and Desouky14). It has three sets of questions. In Part A, information about current and ideal body weight was obtained. Part B included three subscales, dieting, bulimia and food preoccupation and oral control, which were questioned with a total of 26 items. Each item (except the 26th item) had six response options ranging from 0 to 3. Lastly, in Part C, four behavioural questions were asked to determine extreme weight-control behaviours and estimate their frequency, e.g., self-induced vomiting over the preceding 6 months. Overall, females who scored ≥20 on the EAT-26 were classified as ‘at-risk’ for disordered eating attitudes and behaviours(Reference Pengpid, Peltzer and Ahsan15,Reference Rogoza, Brytek-Matera and Garner16) .

Diagnostic statistical manual of mental disorders, fifth edition

Based on the EAT-26 scores, girls diagnosed with EDs completed the Diagnostic statistical manual of mental disorders, fifth edition (DSM-5) to specify the type of ED(Reference Krabbenborg, Danner and Larsen17,Reference Bohon, Stice and Wade18) . The DSM-5 is a 23-component self-reported questionnaire identifying EDs, namely, AN, BN, BED, OSFED and UFED. The first three are the typical EDs, and the others are known as atypical forms of ED(Reference Galmiche, Déchelotte and Lambert6). The questionnaire starts with questions about physical appearance and how shape influences judgement as a person. The scores ranged from zero to six, where zero means not at all (not suffering from this problem), and six means extremely (highly suffering from the problem). Then, questions were asked about eating episodes with a loss of control, feeling during and after overeating, e.g., eating much more and more rapidly. The DSM-5 also included information about the highest weights at the current height.

Anthropometric measurements

Participant weight and height were measured twice following standard methods. The weights were measured using a digital scale (Beurer GmbH. Söflinger Srt.218, Germany), which measured up to 150 kg. Girls were asked to take off their shoes and any heavy objects from their pockets. Weights were recorded to the nearest 0⋅1 kg. Heights were measured to the nearest 0⋅1 cm by a stadiometer (Seca 213 Portable stadiometer Height-Rod), which measures up to 200 cm. Girls were further asked to take off their shoes and stand with their backs against the board and their eyes perpendicular to the ground. Their BMIs were then calculated using the Quetelet equation:

$${\rm BMI} = {\rm weight}( {{\rm kg}} ) \div {\rm height}( {{\rm m}^2} ) $$

The classifications of body measurements were obtained using WHO growth charts based on z scores (19). For the height classification, height-for-age tables were used. Heights that fell between −1 and 2 standard deviations (sd) were classified as normal; −2 was classified as stunted and −3 was classified as severely stunted.

BMI-for-age tables were used to classify the weights of the adolescents. Values that fell at plus 3 were considered obese, plus 2 as overweight, 1 as possible risk of overweight, minus 1 up to zero as normal, minus 2 as wasted and minus 3 as severely wasted. A point that fell between the z score lines ‘minus 2 and minus 3’ was counted as ‘below minus 2’, whereas a point between ‘plus 2 and 3’ was considered ‘above 2’(20).

Ethical permission to conduct the current study was obtained from the Ethical Committee at the College of Applied Medical Sciences number CLN 201 703. Ethical approval was also obtained from the different schools’ authorities before the beginning of the study. The adolescents’ parents gave their consent before the start of the study, and they were assured that all the information would be maintained as private. They were further informed that they had the right to withdraw from the study without any pressure. Eating disordered adolescents were advised to contact their paediatricians for a detailed check-up.

In the current study, the exposure variable was nutritional status as defined by anthropometric measurements, whereas the various types of EDs were the outcome variables.

Quality control

Data collectors were trained before the start of the study. Their training included recruiting adolescents, using the EAT-26 and DSM-5, and measuring body weights and heights. The aim of the training was to reduce any data collection errors. The data collectors also ensured that there was no missing information. The data collection tools were pretested on ten students before the start of the study to check the clarity of the questions. In addition, the weighing scales were calibrated daily. When the values were not within acceptable ranges, they were considered outliers and removed from the analysis. For such cases, another measurement was taken either for the anthropometric measurements or by repeating the DSM-5.

Data analysis

Descriptive and inferential data were analysed using Statistical Package for the Social Sciences software (SPSS, version 26). Pearson's correlation was used to determine the association between the anthropometric measurements and other variables, such as age. An analysis of variance (ANOVA) was used to assess the differences between ED and non-ED individuals for their BMI-for-age and height-for-age. An independent Student's t-test determined the differences between the ED and non-ED adolescents regarding their age, EAT-26 scores, and anthropometric measurements. Adolescents with an EAT-26 ≥ 20 would be referred to in the tables as eating disordered (ED), and those with an EAT-26 score of <20 would be referred to as non-eating disordered (non-ED). Logistic Binary Regression was used to predict the risk of having ED using EAT-26 scores as dependent variables, and the independent variables were BMI-for-age and age groups. A P value of ≤5 % was set as the significance level.

Results

Adolescent girls (n 396) aged 10–18 years were recruited from different schools in Al Madinah Al Munawarah. Some of these adolescents (n 8) were excluded for not fulfilling any of the DSM-5 criteria. Seven were further excluded because their parents refused to allow their daughters to complete their study. Overall, 381 girls were included, with a response rate of 96⋅2 %.

According to the EAT-26 score, some girls (n 39, 10⋅2 %) were at risk for disordered eating attitudes and behaviours. As expected, their scores were significantly higher than those of girls with normal eating attitudes and behaviours. The most prevalent type of ED was OSFED, namely, atypical AN (n 29, 7⋅6 %), followed by UFED (n 9, 2⋅4 %), and only one girl suffered from AN (0⋅3 %), as determined by the DSM-5. None of the girls suffered from BN or BED. Thus, the study's first hypothesis, which stated that EDs are prevalent among adolescent girls, was accepted.

Moreover, girls with EDs were heavier (based on their weight) and taller (based on their height) and had a significantly higher BMI than their counterparts (Table 1). Many ED adolescent girls had a possible risk of being overweight, and a significant number were obese (Table 2). Overall, girls without EDs (7 %) were either wasted or severely wasted, whereas none of those with EDs suffered from these conditions. Additionally, 10 % of the total girls (n 381 adolescent girls) suffered from stunted and severely stunted growth (Table 2). Thus, the study's hypothesis, which stated that eating disordered females suffered from over- and undernutrition, was accepted.

Table 1. Age, EAT-26a scores and anthropometric measurements among Saudi adolescents (n 381)

a EAT-26: Eating Attitudes Test-26. Those with scores ≥20 suffered from ED.

b Geometric mean and standard deviation; Values are numbers and percentages. The total number of adolescents was 381.

Table 2. BMI-for-age and height-for-age classifications among Saudi adolescents (n 381)

a Values are numbers and percentages. The total number of adolescents was 381.

Furthermore, the only anorexic adolescent girl was older and taller than her counterparts (Table 3). Age and height significantly differed among the various ED types, with those with OSFED being older and taller than those with UFED. Although the BMI-for-age tended to be significantly different among the three types of ED, more than half of those with UFED were overweight or obese. Those with OSFED were either at possible risk of being overweight, overweight or obese (Table 3). Stunted growth is also prevalent among those with OSFED.

Table 3. Anthropometric measurements as classified by the type of ED among Saudi adolescents (n 39)

DSM-V, determined types of ED; AN, anorexia nervosa; OSFED =, other specified feeding or ED; UFED, unspecified feeding or ED.

a Geometric mean and standard deviation.

b Values are numbers and percentages. The total number of adolescents was 39.

ANOVA revealed that the BMI-for-age was influenced by age (P = 0⋅028), the type of ED (P = 0⋅019) and EAT-26 (P < 0⋅0001). Pearson's correlation showed that the EAT-26 score increased significantly with the BMI (r 0⋅22, P = 0⋅0001), height (r 0⋅12, P = 0⋅019) and weight (r 0⋅22, P = 0⋅0001). In addition, Logistic Binary Regression revealed that girls who were either at possible risk for overweight (Odd ratio = 1⋅34, 95 % CI 0⋅157, 0⋅723, P = 0⋅005) or were obese (Odd ratio = 1⋅38, 95 %CI = 0⋅023, 0⋅382, P = 0⋅001) had higher probabilities for developing EDs as defined by their EAT-26 scores.

Discussion

Adolescents are future productive adults. Their development and healthy growth depend on the quality and amount of food consumed and future health consequences(Reference Ochola and Masibo21). Puberty is a more critical and challenging time for adolescent girls than for boys. One of these challenges is their increased risk for EDs. Possible risk factors include early exposure to family, culture and peer pressure(Reference Hoerr, Bokram and Lugo22,Reference Yannakoulia, Matalas and Yiannakouris23) . Earlier studies suggested a positive association between EDs among adolescents and an increased risk of obesity, cardiovascular diseases and other mental health disorders(Reference Sullivan12).

The aim of the current study was to assess the prevalence of ED and the nutritional status of adolescent girls with disordered eating. Our findings revealed an ED prevalence of 10 % among girls in Al Madinah Al Munawarah. Contrary to our study findings, the prevalence of EDs among adolescents aged 15–18 in Jeddah city, Saudi Arabia, was higher (33 %)(Reference Fallatah, Al-Hemairy and Al-Ghamidi8). Additionally, higher prevalences were reported among Slovakian (age: 11–15 years; 37⋅2 %)(Reference Štefanová, Bakalár and Baška24) and Spanish (age: 13–18 years; 24⋅7 %)(Reference Veses, Martínez-Gómez and Gómez-Martínez13) counterparts. However, the prevalence of EDs in our study was higher than among Singaporean (7⋅4 %)(Reference Ho, Tai and Lee25) and Ethiopian (6 %) adolescents(Reference Yirga, Assefa and Derso26).

Moreover, the most prevalent types of EDs in our study were OSFED (7⋅6 %) and UFED (2⋅4 %), with one girl suffering from AN (0⋅3 %). AN was not expected among Saudi adolescents. Previous studies in Saudi Arabia reported that religious and cultural factors forbid people from experiencing self-starvation(Reference Hussein, Hamed and Raya27). In the past, AN was considered a Westernised disorder not prevalent among non-Western countries(Reference Nasser28). Compared with our study, the prevalence of AN was lower than among Iranian 13- to 18-year-old adolescents [1⋅3 %], whereas OSFED was higher (1⋅7 %)(Reference Rauof, Ebrahimi and Jafarabadi29). Additionally, the prevalence of OSFED among Jordanian 10- to 16-year-old adolescents was higher than that in our study (31 % v. 7⋅6 %, respectively)(Reference Mousa, Al-Domi and Mashal30). The possible explanation for this difference could be related to the fact that adolescents focus more on their body weight, as encouraged by various media messages. Interestingly, our study found no correlation between age and EAT-26 scores, as reported previously(Reference Fallatah, Al-Hemairy and Al-Ghamidi8). However, our findings revealed significant differences in age among the various types of ED, with those having OSFED being older.

Furthermore, abnormal eating attitudes are common among adolescents with overweight and/or obesity(Reference Fisher, Schneider and Pegler31). Childhood obesity is a major risk factor for future chronic diseases, including diabetes mellitus, hypertension, impaired lipid profile and polycystic ovarian syndrome. Our study revealed that eating disordered adolescent girls were heavier based on their BMI-for-age. The differences in BMI-for-age between ED and non-ED adolescents tended to be significant (P = 0⋅08). Our findings were similar to findings among Brazilian adolescents(Reference Santana, Barros and Costa10). The mean BMI for ED adolescents in our study was similar to that of their counterparts in Madrid (21⋅7 kgm−2)(Reference Veses, Martínez-Gómez and Gómez-Martínez13) and Jeddah (21⋅7 kgm−2)(Reference Fallatah, Al-Hemairy and Al-Ghamidi8). Additionally, our study showed that EAT-26 scores increased significantly with BMI. Similar findings were reported previously in Jeddah(Reference Fallatah, Al-Hemairy and Al-Ghamidi8), Madrid(Reference Veses, Martínez-Gómez and Gómez-Martínez13) and Slovakia(Reference Štefanová, Bakalár and Baška24). Being overweight pre- or during adolescence might lead adolescents to adopt disordered eating attitudes to lose excessive weight(Reference Golden, Schneider and Wood32).

Furthermore, malnutrition during puberty is associated with weak bones and permanently stunted height(Reference Pinzon and Beimers33). Stunting among adolescents is often underrecognised(Reference Christian and Smith11). Stunted growth is more prevalent among eating adolescents suffering from AN, leading to long-term complications(Reference Lask and Bryant-Waugh34). Growth spurts among adolescents depend on overall health status and the duration of malnutrition(Reference Pinzon and Beimers33). There was only one girl who suffered from AN in our study, and she was not stunted. However, 10 % of the OSFED girls were stunted, and 11 % of the UFED were severely stunted. The low height-for-age among adolescents indicates that these girls were suffering from malnutrition for a long time before their heights were affected. Thus, previous nutritional intake and psychosocial factors might be associated with disordered eating and stunted growth(Reference Walker, Chang and Powell35). Our study was not consistent with previous studies, revealing that stunted growth is more prevalent among anorexic adolescents. This result could be attributed to the small number of anorexic girls in our study(Reference Rauof, Ebrahimi and Jafarabadi29).

The current study is considered the first of its kind to focus on both under- and overnutrition among adolescent girls with disordered eating in Al Madinah Al Munawarah, Saudi Arabia. Previous studies focused only on overweight and obesity and their occurrence among ED adolescents. In addition, anthropometric measurements were taken twice, and the validated version of EAT-26 was used. These considerations have reduced the bias associated with data collection and gave high credibility to the findings. Hence, the methods used here were both valid and reliable. However, the main limitation of our study is its cross-sectional design, which will not lead to causal relationships. Furthermore, although the sample was selected randomly, the limited sample size makes it difficult to generalise the findings.

In conclusion, the prevalence of malnutrition and the risk of ED in our study were comparable with previous studies in Western and other non-Western societies. Among adolescent Saudi girls, overweight and obesity are associated with EDs. Some girls also suffered from stunted growth. However, our findings should be taken with caution because they are only valid for girls in Al Madinah Al Munawarah aged 10–18 years old. Therefore, the findings could not be generalised to include other Saudi regions or younger girls. The current study also highlighted the critical role that nutrition professionals should play in the community. Efforts should be made to detect the early signs and symptoms of EDs among adolescent girls. In addition, nutrition professionals should develop educational programs targeting girls, teachers and parents, focusing on the early signs and symptoms of EDs and ways to prevent their development. Following a healthy dietary pattern will also prevent the development of EDs. Hence, it is crucial and necessary to develop educational and public health programs to identify, prevent and treat EDs among adolescents from a broad perspective.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/jns.2022.71.

Acknowledgments

The researcher would like to thank all the data collectors and the adolescents who participated in the study. Without their help and support, none of this work would have been possible.

There is only one author for the present paper.

This study was self-funded, and no money was provided from any agencies.

The author has no conflict of interest to declare.

References

World Health Organization (2021) Adolescent Health. https://www.who.int/images/default-source/wpro/health-topic/adolescent-health/uni157584-1280x720.tmb-1024v.jpg?sfvrsn=7ea95d0f_1 %201024w (accessed 30 June 2021).Google Scholar
Gandy, JW (2012) Oxford Handbook of Nutrition and Dietetics. [Joan Webster-Gandy, Angela Madden, Michelle Holdsworth, and Joan/y, editors], 2nd ed. New York, USA: Oxford University Press.Google Scholar
National Collaborating Centre for Mental Health (UK) (2004) Eating Disorders: Core Interventions in the Treatment and Management of Anorexia Nervosa, Bulimia Nervosa and Related Eating Disorders. 1st ed. Leicester: British Psychological Society. PMID: 23346610.Google Scholar
Machado, BC, Gonçalves, SF, Martins, C, et al. (2014) Risk factors and antecedent life events in the development of anorexia nervosa: a Portuguese case-control study. Eur Eat Disord Rev. 22, 243251. doi:10.1002/erv.2286. Epublication 27 February 2014. PMID: 24577737.CrossRefGoogle ScholarPubMed
National Guideline Alliance (UK) (2017) Eating Disorders: Recognition and Treatment. London: National Institute for Health and Care Excellence (UK). (NICE Guideline, No. 69.) 9, Treatment and management of atypical eating disorders (eating disorders not otherwise specified). Available from: https://www.ncbi.nlm.nih.gov/books/NBK533153/Google Scholar
Galmiche, M, Déchelotte, P, Lambert, G, et al. (2019) Prevalence of eating disorders over the 2000–2018 period: a systematic literature review. Am J Clin Nutr 109, 14021413. doi:10.1093/ajcn/nqy342.CrossRefGoogle ScholarPubMed
Musaiger, AO, Al-Mannai, RM, Tayyem, R, et al. (2013) Risk of disordered eating attitudes among adolescents in seven Arab countries by gender and obesity: a cross-cultural study. Appetite 60, 162167. doi:10.1016/j.appet.2012.10.012.CrossRefGoogle ScholarPubMed
Fallatah, A, Al-Hemairy, M, Al-Ghamidi, H, et al. (2015) Eating Disorders among Female Adolescents in Jeddah. Scientific cooperations medical workshops 21–22 July, 2015, Istanbul-Turkey.Google Scholar
Waseem, F & Ahmad, LM (2018) Prevalence of disordered eating attitudes among adolescent girls in Arar City, Kingdom of Saudi Arabia. Health Psychol Res 6, 7444. doi:10.4081/hpr.2018.7444.Google Scholar
Santana, DD, Barros, EG, Costa, RS, et al. (2017) Temporal changes in the prevalence of disordered eating behaviours among adolescents living in the metropolitan area of Rio de Janeiro, Brazil. Psychiatry Res 253, 6470. doi:10.1016/j.psychres.2017.03.042.CrossRefGoogle ScholarPubMed
Christian, SP & Smith, ER (2018) Adolescent undernutrition: global burden, physiology, and nutritional risk. Ann Nutr Metab 72, 316328. doi:10.1159/000488865.CrossRefGoogle Scholar
Sullivan, PF (1995) Mortality in anorexia nervosa. Am J Psychiatry 152, 10731074. doi:10.1176/ajp.152.7.1073.Google ScholarPubMed
Veses, AM, Martínez-Gómez, D, Gómez-Martínez, S, et al. (2011) Association between excessive body fat and eating-disorder risk in adolescents: the AFINOS study. Med Clín 136, 620622. doi:10.1016/j.medcli.2010.09.042.Google ScholarPubMed
Taha, AA, Abu-Zaid, HA & Desouky, DE (2018) Eating disorders among female students of Taif University, Saudi Arabia. Arch Iran Med 21, 111117.Google Scholar
Pengpid, S, Peltzer, K & Ahsan, GU (2015) Risk of eating disorders among university students in Bangladesh. Int J Adolesc Med Health 27, 93100. doi:10.1515/ijamh-2014-0013.CrossRefGoogle ScholarPubMed
Rogoza, R, Brytek-Matera, A & Garner, D (2016) Analysis of the EAT-26 in a non-clinical sample. Arch Psychiatry Psychother 18, 5458. doi:10.12740/app/63647.CrossRefGoogle Scholar
Krabbenborg, MA, Danner, UN, Larsen, JK, et al. (2011) The eating disorder diagnostic scale: psychometric features within a clinical population and a cut-off point to differentiate clinical patients from healthy controls. Eur Eat Disord Rev 20, 315320. doi:10.1002/erv.1144.CrossRefGoogle Scholar
Bohon, C & Stice, E (2015) Eating disorder diagnostic scale. In Encyclopedia of Feeding and Eating Disorders, [Wade, T, editor]. Singapore: Springer. doi:10.1007/978-981-287-087-2_109-1.Google Scholar
World Health Organization (2008) Training Course on Child Growth Assessment: WHO Child Growth Standards. Interpreting growth indicators. https://www.who.int/childgrowth/training/module_c_interpreting_indicators.pdf (accessed 15 June 2021).Google Scholar
Ochola, S & Masibo, PK (2014) Dietary intake of schoolchildren and adolescents in developing countries. Ann Nutr Metab 64, 2440. doi:10.1159/000365125, Epublication 22 October 2014.CrossRefGoogle ScholarPubMed
Hoerr, SL, Bokram, R, Lugo, B, et al. (2002) Risk for disordered eating relates to both gender and ethnicity for college students. J Am Coll Nutr 21, 307314. doi:10.1080/07315724.2002.10719228.CrossRefGoogle ScholarPubMed
Yannakoulia, M, Matalas, AL, Yiannakouris, N, et al. (2004) Disordered eating attitudes: an emerging health problem among Mediterranean adolescents. Eating Weight Disord 9, 126133. doi:10.1007/bf03325056.CrossRefGoogle ScholarPubMed
Štefanová, E, Bakalár, P & Baška, T (2020) Eating-Disordered behavior in adolescents: associations with body image, body composition and physical activity. Int J Environ Res Public Health 17, 6665. doi:10.3390/ijerph17186665.CrossRefGoogle ScholarPubMed
Ho, TF, Tai, BC, Lee, EL, et al. (2006) Prevalence and profile of females at risk of eating disorders in Singapore. Singapore Med J 47, 499503.Google Scholar
Yirga, B, Assefa, GY, Derso, T, et al. (2016) Disordered eating attitude and associated factors among high school adolescents aged 12–19 years in Addis Ababa, Ethiopia: a cross-sectional study. BMC Res Notes 9, 503. doi:10.1186/s13104-016-2318-6.CrossRefGoogle Scholar
Hussein, RA, Hamed, RA, Raya, YM, et al. (2016) Prevalence of and attitudes toward eating disorders among female nurses. Middle East Curr Psychiatry 23, 4449. doi:10.1097/01.XME.0000461679.99712.9c.CrossRefGoogle Scholar
Nasser, M (1988) Eating disorders: the cultural dimension. Soc Psychiatry Psychiatr Epidemiol 23, 184187. doi:10.1007/BF01794786.CrossRefGoogle ScholarPubMed
Rauof, M, Ebrahimi, H, Jafarabadi, M, et al. (2015) Prevalence of eating disorders among adolescents in the Northwest of Iran. Iran Red Crescent Med J 17. doi:10.5812/ircmj.19331.CrossRefGoogle ScholarPubMed
Mousa, TY, Al-Domi, HA, Mashal, RH, et al. (2010) Eating disturbances among adolescent schoolgirls in Jordan. Appetite 54, 196201. doi:10.1016/j.appet.2009.10.008.CrossRefGoogle ScholarPubMed
Fisher, M, Schneider, M, Pegler, C, et al. (1991) Eating attitudes, health risk behaviours, self-esteem, and anxiety among adolescent females in a suburban high school. J Adolesc Health 12, 377384. doi:10.1016/0197-0070(91)90051-m.CrossRefGoogle Scholar
Golden, NH, Schneider, M & Wood, C (2016) Preventing obesity and eating disorders in adolescents. Pediatrics 138, e20161649. doi:10.1542/peds.2016-1649.CrossRefGoogle ScholarPubMed
Pinzon, JL & Beimers, MA (2005) Medical complications in children and adolescents affected by eating disorders. BCMJ 47, 2834.Google Scholar
Lask, B & Bryant-Waugh, R [editors] (2000) Anorexia Nervosa and Related Eating Disorders in Childhood and Adolescence, 2nd ed. Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
Walker, SP, Chang, SM, Powell, CA, et al. (2007) Early childhood stunting is associated with poor psychological functioning in late adolescence and effects are reduced by psychosocial stimulation. J Nutr 137, 24642469. doi:10.1093/jn/137.11.2464.CrossRefGoogle ScholarPubMed
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Table 1. Age, EAT-26a scores and anthropometric measurements among Saudi adolescents (n 381)

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Table 2. BMI-for-age and height-for-age classifications among Saudi adolescents (n 381)

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Table 3. Anthropometric measurements as classified by the type of ED among Saudi adolescents (n 39)

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