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Food Processing & Technology

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Abstract

Autism is a developmental disorder that affects communication, behavior, and social interaction. Autism symptoms may include delayed language development, difficulty making eye contact, repetitive movements or behaviors, and sensitivity to certain sensory stimuli. Therefore, the objective of this study was to evaluate the dietary and behavioral profile of children with Autism Spectrum Disorder (ASD) in city of Ouro Preto/MG. For this, the medical records of 11 children/young people assisted by the Association of Parents and Friends of the Exceptional (APAE) and the Psychosocial Care Center (CAPSij) in Ouro Preto/MG were evaluated. In addition, the responses obtained by parents and/or guardians about the dietary and behavioral profile of these individuals assisted by the institutions were evaluated using a questionnaire. The results were analyzed using word clouds and frequency analysis. In view of this, it is concluded that the dietary profile of children/young people with ASD is marked by food selectivity and that the main sensory aspect related to selectivity is texture, and that the foods most consumed by this group are industrialized foods, sugary foods and foods with low nutritional value. The least consumed are vegetables and fruits. In addition, the overload of mothers of children/young people with ASD was evident, being related to the great dependence of individuals on the mother.

Keywords: autism, food selectivity, word cloud

Introduction

According to the American Psychiatric Association, Autism Spectrum Disorder (ASD) is a developmental disorder that can be recognized by clinically significant deficits. Autism is persistent in communication, social interactions, and there are expressive deficits in verbal communication. It is a non-verbal, restricted pattern presence. It is repetitive in behavior, interests, and activities.1 According to the 5th edition of the Diagnostic and Statistical Manual of Disorders mental disorders, Autism Spectrum Disorder is a disorder that encompasses the disorder autism, Asperger's disorder, childhood disintegrative disorder, and Rett syndrome. It is a global development disorder without other specification.1The etiology of the Autism Spectrum Disorder remains unknown. However, currently it is considered a syndrome of multicausal origin that involves genetic, neurological, and social factors in the child.2,3 Today, it is estimated that there are 70 cases of ASD for every 10,000 inhabitants in the world,4 being four times more common in boys.5 In Brazil, despite the scarcity of epidemiological studies that can provide a national estimate, recent studies have found that there are 27.2 cases of autism for every 10,000 inhabitants.6,7 The World Health Organization (WHO) states that autism affects one in every 100 children in the world and that the number of people diagnosed with autism exceeds 70 million.8

According to Lederman et al.9 environmental factors such as exposure to chemical agents, vitamin D and folic acid deficiency, use of substances such as antidepressants during pregnancy, prematurity, and low birth weight, multiple pregnancies, maternal infection during pregnancy, advanced parental age, smoking, and air pollution can increase the risk of ASD. In addition to suffering from significant deficits, a large part of this group has behavioral changes such as anxiety problems, obsessive-compulsive reactions, hyperactivity, attention deficit, sleep disturbances, difficulties in developing. Difficulty in understanding a relationship and difficulties in sensory changes. Which creates eating problems.10 Individuals with ASD often suffer sensory alterations that influence their bodily and environmental experiences and may affect adaptive behavior, leading to problems in daily activities, with a negative impact on routines, including sleeping, participating in social events, and eating.11 For children with this disorder they are much more selective. They are resistant to the introduction of new foods. They create barriers to new food experiences and are more likely to have feeding difficulties than children with typical development (TD).12 The conduct of refusing some foods leads to the formation of eating habits, favoring the reinforcement of the foods that are consumed.10 Food selectivity (FS) is characterized by the triad, which is composed of rejection of food, decreased appetite, and lack of interest in food. The combination of these factors can promote a restriction of the varieties of foods consumed and extreme resistance to tasting new foods.13,14 This is related to behavioral changes existing in Autism Spectrum Disorder, associated with a sensory disorder and tactile defensiveness, which can directly compromise the acceptance and textures of food and affect about 40% to 80% of children with this disorder.12

Among these factors, food selectivity based on texture, type, color, and flavor of food, in addition to refusal and food indiscipline during the act of eating stand out15 Crasta et al.16 described that this public has preferences and practices food idiosyncrasy (unusual form of behavior in society). This creates fewer choices in food because of texture and selectivity in food category. There is dysphagia, which results in refusal to eat. Exclusionary behavior can often be transient or persist to the distant development of the child with autism, because they are very selective. They have resistance to new things.13,14 The primary goal of food learning is to expand the diversity of foods that a child accepts to at least cover their needs.17 Achieving this single goal is especially complex for children with ASD, as selectivity is by far the most common problem encountered in this public.18 Therefore, the objective of this study was to evaluate the dietary and behavioral profile of children with Autism Spectrum Disorder (ASD) in city of Ouro Preto/MG.

Material and methods

Materials

This is a research with document analysis and with a quantitative and qualitative approach to the data, developed from the analysis of medical records of 11 children and young people who attend the Association of Parents and Friends of the Exceptional (APAE) and the Psychosocial Care Center (CAPSij), both in Ouro Preto, Minas Gerais, and the responses obtained through a questionnaire presented to parents and/or guardians. The participants of this study were 11 children and young people between 2 and 24 years old, whose inclusion criteria were having a diagnosis of ASD and being authorized by their parents to participate in the research. The study was carried out after obtaining consent and approval from the Ethics Committee for Research with Human Beings of the Federal University of Ouro Preto, under the number (CAEE 59327422.3.0000.5150).

Data collection from medical records

The data obtained for the research came from the attendance records of the participating children, such as reports of evaluations and reassessments that occurred throughout the monitoring of the child or young person, taking into account the attendance records of each session of occupational therapy, speech therapy, psychology, psychiatry, physiotherapy, and multidisciplinary interventions. The medical records were studied for 3 (three) months (November 2022 to January 2023).

Development of the questionnaire

Based on the analyzes carried out in the medical records, a questionnaire was created to assess the dietary and behavioral profile of children with Autism Spectrum Disorder (ASD). Respondents were informed about the study and agreed to participate through the Free and Informed Consent Form (TCLE). The evaluation was carried out through an online questionnaire (Google Forms), according to Shan et al.19 with modifications. The questionnaire included questions about gender and age of the children, pregnancy, childbirth and postpartum, tastes of the children/youth with ASD, nutrition of the children/youth with ASD, relationships between the child/youth and family and friends, learning, physical and psychological characteristics, illnesses and health and/or physical development problems, behaviors, and family financial issues totaling 115 questions. The sample consisted of parents and/or guardians of 11 children and young people assisted by CAPSij and APAE in Ouro Preto/MG.

Evaluation of results

The medical records and some open questions from the questionnaire data were analysed through an online word cloud generator (www.wordclouds.com by Zigomatic, Vianen The Netherlands) accessed in February 2023. The word cloud is a relevant technique for mining unstructured texts. In a word cloud, each word has its size and color intensity governed by relevance in a given text, that is, the higher the frequency of a given term, the greater its representation in the generated cloud. According to Kim et al.20 word clouds are useful for demonstrating prominent terms and for understanding associations and hierarchical relationships. Words like “that” and “she/he” were excluded because they did not represent relevant information or were linguistic crutches in writing, which would pollute the graphic representation. The data obtained simplified data were analysed using MS office Excel and the closed questions of the questionnaire were tabulated in Excel spreadsheets and discussed in percentage numbers for each question questioned.

Results and discussion

Eleven (11) medical records of patients from the Association of Parents and Friends of the Exceptional (APAE) and the Center for Psychosocial Care for Children (CAPSij), both in Ouro Preto, Minas Gerais, were examined, focusing on the considerations, behaviors, preferences and interactions of children and young people diagnosed with ASD. Table 1 shows the frequency of responses regarding gender and age of individuals assessed in this study. According to Table 1 it was observed that 81.8% of the children and young people assisted by the aforementioned institutions are male and none are aged between 0 and 2 years (baby). According to Maenner et al.21 Autism Spectrum Disorder is 4 times more common among boys than among girls, corroborating the data obtained by the present study. In Figure 1 after processing the 2,056 words analyzed, the word cloud was obtained as an output, in which the most used keywords in the medical records are presented. It can be seen, in the word cloud (Figure 1), that the most evident words are: “speech”, “feeding”, “child”, “birth”, “mother”, “overburdened”, “pregnancy”, “planned”, “likes”, “irritation”, “presents”, “play”, “difficulty”, “contact”, “objects”.

Variables

 

Frequency (%)

Sex

Feminine

18.2

Masculine

81.8

Age

Baby

0

Child

90.9

Young

9.1

Table 1 Demographic differences by gender and age of individuals assisted by APAE and CAPSij

Figure 1 Word cloud produced from the medical records of children and young people with ASD.

These words portray the records of the analyzed medical records, and may highlight some words such as “mother”, “difficulty”, “burdened”. As primary caregivers of children with ASD, mothers often face a variety of problems, such as a heavy financial burden, discrimination, stigma and ineffective therapy.22 It was reported by Estes et al.23 an increased risk of anxiety and depressive symptoms in mothers of children with ASD compared to the risk in mothers of children without ASD. According to Heim et al.24 mothers of individuals with ASD have considerable alterations in the hypothalamic-pituitary-adrenal (HPA) axis, the axis responsible for responses to internal and external stimuli, in comparison with mothers of the same age of typical children, and, according to Yehuda et al.25,26 Heim et al.24 and Miller et al.27 these alterations found in this axis of autistic mothers are similar to those found in other groups that experienced chronic stress, including parents of children with cancer, combat soldiers, Holocaust survivors and individuals suffering from PTSD (Post-traumatic Stress Disorder). Table 2 shows the frequency distribution of responses on the relationship of patients assisted in the institutions of this study with family and friends. It was observed that 90.9% of the analyzed autistic individuals have their mother as a reference and 63.6% are totally dependent on their mother, which can generate these changes leading to their overload. “Irritation” was also an evident word in the word cloud (Figure 1).

Questions

 

Frequency (%)

Do you relate better with adults than with children?

Yes

72.7

No

27.3

Do you have the mother as a reference?

Yes

90.9

No

9.1

Is it totally dependent on the mother?

Yes

63.6

No

36.4

Do you have a good relationship with your father or father figure?

Yes

81.8

No

18.2

Table 2 Frequency distribution of response about the relationship with family and friends

Table 3 presents the results obtained on irritability of children/young people evaluated in the present study. It is noted that 45.5% of the evaluated individuals present aggressive behavior, with 63.6% presenting irritability when missing a game or dynamic and 100% presenting irritability when being contradicted. According to studies by Mayes et al.28 Simonoff et al.29 and Mandy et al.30 autistic young people have high rates of irritability, and, according to Gadow et al.31 and Maskey et al.32 in autistic populations, high levels of irritability often manifest as behavioral problems such as oppositional behavior, aggression, tantrums, and severe noncompliance. Aspects related to pregnancy and childbirth were also highlighted in the word cloud (Figure 1). Table 4 shows the frequency distributions of answers about pregnancy, childbirth, post childbirth and breast-feeding of children/young people assisted. It was observed that about 70% of the analyzed pregnancies were unplanned, but 100% of them were well accepted. In addition, all mothers received prenatal care and only 18.2% had complications during pregnancy, among these complications, the most cited was arterial hypertension. More than 90% of mothers did not use alcoholic beverages, narcotic substances and/or cigarettes during pregnancy and most deliveries (63.6%) were natural. Birth was premature in 18.2% of cases and post-term in 27.3% of cases, with 9.1% of deliveries using forceps. Regarding breastfeeding, 90.9% of the mothers breastfed, with more than 60% breastfeeding for more than 6 months. A study carried out by Hadjkacem et al.33 found that the risk factors retained for autism were male gender, prenatal urinary tract infection, acute fetal distress, difficult labor and respiratory infection. Hypertension in pregnancy largely affects maternal and child health and is also gaining attention as a possible risk factor for mental and neurodevelopmental disorders in offspring.34 Furthermore, evidence suggests that the nutritional status of the newborn, particularly the duration of breastfeeding, plays a key role in the pathogenesis of autism spectrum disorder.35,36

Questions

 

Frequency (%)

Do you show aggressive behavior?

Yes

45.5

No

54.5

Are you irritable when missing a game/dynamic?

Yes

63.6

No

36.4

Are you irritable when you are contradicted?

Yes

100

No

0

Table 3 Frequency distribution of response about irritability of assisted children/young people

Questions

 

Frequency (%)

Pregnancy

   

Was the pregnancy planned?

Yes

27.3

No

72.7

Was the pregnancy well accepted?

Yes

100

No

0

Did you have prenatal care?

Yes

100

No

0

Were there complications during the pregnancy?

Yes

18.2

No

81.8

Did you use alcoholic beverages, narcotic substances and/or cigarettes during pregnancy?

Yes

9.1

No

90.9

childbirth and post childbirth

   

What is the mode of childbirth?

normal/natural

63.6

cesarean section

36.4

Were there any complications at childbirth?

Yes

18.2

No

81.8

Was the childbirth premature?

Yes

18.2

No

81.8

Was the childbirth post-term?

Yes

27.3

No

72.7

Childbirth with forceps?

Yes

9.1

No

90.9

Breast-feeding

   

Were you breast-feeding?

Yes

90.9

No

9.1

 

Less than 6 months

0

Breast-feeding was exclusive for how long?

6 months

27.3

More than 6 months

63.6

was not breastfed

9.1

Table 4 Frequency distribution of response about pregnancy, childbirth, post childbirth and breast-feeding of assisted children/young people

Another highlighted word in the cloud was “food” (Figure 1), being one of the reported characteristics most present in the behavior of patients/students assisted in the institutions of the present study. Also, in Figure 1, the word "selectivity" was observed, which in the case of the medical records evaluated is directly related to the word "food" and is a term used to designate the behavior of rejection of food, and decreased appetite. It is the absence of interest in food.13,14 According to Apa1 and Tanner et al.37 food selectivity is twice as common in children with Autism Spectrum Disorder than in typical children. According to the answers given by parents or guardians in the questionnaire, all children and young people with ASD in the present study show food selectivity, with 36.4% showing intense selectivity (food refusal and/or rejection of most foods and/or food groups), 27.3% with moderate selectivity (rejection of several foods in one or more food groups) and 36.4% with mild selectivity (rejection of specific foods, but consuming items from all food groups) (Figure 2). Figure 3 shows the sensory aspects related to food refusal reported by parents and/or guardians. It was observed that texture is the sensory aspect of most food refusal (81.8%) (Figure 3) followed by flavor (63.6%), odor (36.4%) and presentation form (36.4%). Figure 4 shows the word cloud of responses from parents and/or guardians about which foods are refused in terms of texture.

Figure 2 Intensity of food selectivity of children/youths.

Figure 3 Sensory aspects linked to food refusal of assisted children/young people.

It was observed that beans, pumpkin, rice, soup, pasta, yams, tomatoes, melons, watermelons, bananas, and apples are the foods most rejected (Figure 4), with attributes related to oily texture, soft, wet, granular, pasty, porous and velvety are the most repudiated. Still, it was observed that, in relation to the method of preparation, those foods prepared with peel, beaten, mixed or whole are the most refused. According to Page et al.38 the foods least consumed by children with ASD are generally fruits, greens, vegetables, meats, and some soft cereals. Still, Chistol et al.39 reports that these foods are usually prepared in complex consistencies, which are generally rejected by children with ASD who have oral sensory hyperresponsiveness. Therefore, children with ASD who exhibit this atypical sensory response generally prefer crunchy, uniform and semi-dry textures.40 On the other hand, the foods most consumed by the parents and/or guardians of the analyzed children and young people with ASD were, for the most part, foods without great nutritional value, such as sweets, pasta and sugary drinks (Figure 5).

Figure 4 Word cloud with foods and their characteristics most rejected by the children/young people assisted.

Figure 5 Word cloud of foods most consumed by assisted children and young people.

Studies on the trend of changes in the dietary pattern of the Brazilian population in recent decades highlight the increased consumption of meat and industrialized foods (soda, biscuits, and ready-to-eat meals) and the reduction in the consumption of legumes, roots and tubers, fruits and vegetables.41,42 These products, which contain sugar and fat, are the cheapest, which consequently induces their consumption by the low-income layer; therefore, this part of the population ends up suffering from obesity and diseases resulting from a poor diet.43 Based on the questionnaire presented, more than half of the evaluated public (54.5%) receive a family allowance or other government aid and 9.1% have health consequences due to food selectivity, including high cholesterol and anemia. The preference of individuals with ASD for processed foods that are generally high in energy and poor in nutrients was reported by Cermak et al.17 Suarez et al.44 Hubbard et al.45 and Johnson et al.40 In Table 5 are the frequency data related to tastes, reading, speaking and writing of the assisted children/young people.

Questions

 

Frequency (%)

Like to read?

Yes

9.1

No

90.9

Do you like to play with other children?

Yes

18.2

No

81.8

Do you like to draw?

Yes

63.6

No

36.4

Do you like to write?

Yes

27.3

No

72.7

Do you have speech delay?

Yes

72.7

No

27.3

Do you have delay in reading?

Yes

90.9

No

9.1

Are you interested in the area of languages (Portuguese)?

Yes

9.1

No

90.9

Are you interested in English or another foreign language?

Yes

63.6

No

36.4

Presents stereotyped speech

Yes

72.7

No

27.3

Does it present infantile speech?

Yes

45.5

No

54.5

Do you maintain eye contact?

Yes

63.6

No

36.4

Has elective mutism

Yes

36.4

No

63.6

Table 5 Frequency distribution of answers about tastes, reading, speech and writing of assisted children/young people

It is noted that only 9.1% of individuals with ASD at present like to read (Table 5). In addition, 90.9% of these have a delay in reading and 90.9% are not interested in the language area when focused on the Portuguese language. However, in relation to the foreign language (English) 63.6% are interested. Regarding the tastes and learning of children and young people with ASD, Boyer & Mailloux46 reported that individuals with ASD have specific difficulties in the cognitive mechanism necessary to represent mental states and, according to Davidson & Weismer47 the factors that most contribute to learning disorders are interpersonal relationship difficulties and sociocognitive disorders. According to Nation et al.48 Huemer & Mann49 and Lucas & Norbury50 the majority of the population with ASD has difficulty in the area of understanding. Westerveld et al.51 argued that learning to read is just another challenge for children with autism, since their study found that approximately 30% to 60% of these children struggle with literacy skills.

The writing of individuals with ASD is marked by delay and difficulty.52 It was observed that 72.7% of the evaluated children/young people do not like to write (Table 5). Studies show that handwriting quality in children with autism, as well as reduced handwriting speed, are worse when compared to typical children.53–60 It was observed that 72.7% of the evaluated individuals presented speech delay and stereotyped speech (automatic repetition of a word, syllable or sound, which is interspersed between sentences, without any purpose). Still, about 45% have infantile speech and 63.6% have elective mutism (only talk or answer a restricted number of people). Some children with ASD may not be able to communicate using speech or language, or have very limited speaking skills, while others may have a rich vocabulary and be able to talk about specific subjects in detail. Thus, it can be inferred that great difficulty in speech can bring harm to the child or young person with ASD. In addition, the absence of developed speech or language affects the ability of children with ASD to interact with other people, especially with people their age.61 This fact can be verified in the present study, in which 81.8% of the evaluated individuals do not like to play with other children of their age and 72.7% relate better with adults (Tables 2 and 5). Still, it was observed that 36.4% of the evaluated children/young people do not maintain eye contact. According to Quill62 individuals on the autism spectrum have difficulty initiating interactions, and combining eye contact and gestures, and these deficiencies hinder their participation in social interaction.

Conclusion

The study showed that there is an indication of a relationship between food selectivity and sensory refusal of certain foods due to their texture, raising the hypothesis that this sensory aspect may be responsible for the low consumption of vegetables, fruits, and greens in this group and the high search for processed foods, sugary foods and nutrient-poor foods. In addition, it was found that the overload of mothers of children with ASD is a point of attention and that this overload is related to the great dependence of these individuals on their mothers. This may be in part due to the delay in learning and the difficulties in learning and social interactions noted in the study, requiring the mother to perform simple tasks and more complex tasks. In view of this, further studies are suggested with larger samples in order to understand the entire dietary and behavioral profile of individuals with ASD in different age groups and also practical studies aimed at the elaboration of healthy foods with textures with greater acceptance by children with ASD and elaboration of practical courses or mini-courses aimed at this public, aiming at their greater autonomy.

Acknowledgments

This research study was supported by Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES - Finance Code 001) and Federal University of Ouro Preto (UFOP). The authors thank the Associação de Pais e Amigos dos Excepcionais Ouro Preto (APAE OP), the Centro de Atenção Psicossocial Infantil (CAPSij) from Ouro Preto, and Núcleo de Estudos em Ciências Sensoriais (NECISEN/UFOP) for their partnership in the study.

Conflicts of interest

The authors declare that they don’t have any conflicts of interest.

References

  1. Diagnostic and statistical manual of mental disorders. American Psychiatric Association. 2013.
  2. Lopez PJ, Garcia JMC, Monge GL, et al. Our experience with the etiological diagnosis of global developmental delay and intellectual disability 2006-2010. Neurologia. 2014;29(7):402–407.
  3. Wang T, Zhao T, Liu L, et al. Integrative analysis prioritized oxytocin-related biomarkers associated with the aetiology of autism spectrum disorder. Ebio Medicine. 2022;18:104091.
  4. Sun Y, Wang Y, Fang J, et al. Exposure to metal mixtures may decrease children's cognitive flexibility via gut microbiota. Environmental Technology & Innovation. 2023;29:103012.
  5. Volkmar FR, McPartland JC. From Kanner to DSM-5: autism as an evolving diagnostic concept. Annu Rev Clin Psychol. 2014;10:193–212.
  6. Levenson D. Autism in siblings often caused by different faulty genes, study says. Am J Med Genet A. 2015;167(5):5–14.
  7. Ribeiro MF, Barreto JBM, Sousa GV. Early intervention in autism spectrum disorder: an integrative literature review. European Psychologist. 2022;27(4):338–351.
  8.  Autism. World Health Organization. WHO. 2022.
  9. Lederman VRG, Goulart AL, Santos AMN, et al. Screening for signs suggestive of autism spectrum disorder in very low birth weight preterm infants. Psychol Theor Practice. 2018;20(3):72–85.
  10. Lázaro CP, Caron J, Pondé MP. Assessment scales of eating behavior of individuals with autism spectrum disorder. Psychol Theor Practice. 2018;20(3):23–41.
  11. Kirby AV, White TJE, Baranek GT. Caregiver Strain and Sensory Features in Children with Autism Spectrum Disorder and other developmental Disabilities. Am J Intellect Dev Disabil. 2015;120(1):32–45.
  12. Carvalho JA, Santos CSS, Carvalho MP, et al. Nutrition and autism: considerations on autistic nutrition. Sci J ITPAC. 2012;5(1):1–6.
  13. Gomes VTS, Gomes RNS, Gomes MS, et al. Nutrition and autism: reflections on autistic eating. Journal Univap. 2016;22(40):656.
  14. Rocha GSS, Medeiros Júnior FC, Lima NDP, et al. Analysis of the food selectivity of children with Autistic spectrum disorder. Electronic Journal Collection Health. 2019;(24):1–8.
  15. Johnson SA, Filler JH, Murphy RR. Discrepancies between self- and parent-perceptions of autistic traits and empathy in high functioning children and teenagers on the autism spectrum. J Autism Dev Disord. 2009;39(12):1706–1714.
  16. Crasta JE, Benjamin TE, Suresh APC, et al. Feeding problems among children with autism in a clinical population in India. Indian J Pediatr. 2014;81(2):169–172.
  17. Cermak SA, Curtin C, Bandini LG. Food selectivity and sensory sensitivity in children with autism spectrum disorders. J Am Diet Assoc. 2010;110(2):238–246.
  18. Karlsson L, Rastam M, Wentz E. The Swedish eating assessment for autism spectrum disorders (SWEAA)- Validation of a self- report questionnaire targeting eating disturbances within the autism spectrum. Res Dev Disabil. 2013;34(7):2224–2233.
  19. Shan LC, Brun A, Henchion M, et al. Consumer evaluations of processed meat products reformulated I'm be healthier – a conjoint analysis study. Meat Sci. 2017;131:82–89.
  20. Kim R, Hickman N, Gali K, et al. Maximizing retention with high risk participants in a clinical. Am J Health Promot. 2014;28(4):268–274.
  21. Maenner MJ, Shaw KA, Bakian AV, et al. Prevalence and characteristics of Autism Spectrum Disorder among children aged 8 years — autism and developmental disabilities monitoring network, 11 Sites, United States, 2018. MMWR Surveill Summ. 2021;70(11):1–16.
  22. Yaacob WNW, Yaacob LH, Muhamad R, et al. Behind the scenes of parents nurturing a child with autism: a qualitative study in Malaysia. Int J Environ Res Public Health. 2021;18(16):8532.
  23. Estes A, Munson J, Dawson G, et al. Parenting stress and psychological functioning among mothers of preschool children with autism and developmental delay. Autism. 2009;13(4):375–387.
  24. Heim C, Ehlert U, Hellhammer DH. The potential role of hypocortisolism in the pathophysiology of stress- related bodily disorders. Psychoneuroendocrinology. 2000;25(1):1–35.
  25. Yehuda R, Boisoneau D, Lowy MT, et al. Dose-response changes in plasma cortisol and lymphocyte glucocorticoid receivers following dexamethasone administration in combat veterans with and without posttraumatic stress disorder. Arch Gen Psychiatry. 1995;52(7):583–593.
  26. Yehuda R, Kahana B, Binder-Brynes K, et al. Low urinary cortisol excretion in Holocaust survivors with posttraumatic stress disorder. Am J Psychiatry. 1995;152(7):982–986.
  27. Miller GE, Cohen S, Ritchey AK. Chronic psychological stress and the regulation of pro- inflammatory cytokines: a glucocorticoid-resistance model. Health Psychol. 2002;21(6):531–541.
  28. Mayes SD, Calhoun SL, Murray MJ, et al. Anxiety, depression, and irritability in children with autism relative with other neuropsychiatric disorders and typical development. Research in Autism Spectrum Disorders. 2010;5(1):474–485.
  29. Simonoff E, Jones CRG, Pickles A, et al. Severe mood problems in teenagers with autism spectrum disorder. J Child Psychol Psychiatry. 2012;53(11):1157–1166.
  30. Mandy W, Roughan L, Skuse D. Three dimensions of oppositionality in autism spectrum disorder. J Abnorm Child Psychol. 2014;42(2):291–300.
  31. Gadow KD, Devincent CJ, Pomeroy J, et al. Comparison of DSM-IV symptoms in elementary school- age children with PDD versus clinic and community samples. Autism. 2005;9(4):392–415.
  32. Maskey M, Warnell F, Parr JR, et al. Emotional and behavioral problems in children with autism spectrum disorder. J Autism Dev Disord. 2013;43(4):851–859.
  33. Hadjkacem I, Ayadi H, Turki M, et al. Prenatal, perinatal and postnatal factors associated with autism spectrum disorder. J Pediatr. 2016;92(6):595–601.
  34. Dachew BA, Mamun A, Maravilla JC, et al. Pre-eclampsia and the risk of autism spectrum disorder in offspring: meta-analysis. Br J Psychiatry. 2018;212(3):142-147.
  35. Soke GN, Maenner M, Windham G, et al. Association between breastfeeding initiation and duration and autism spectrum disorder in preschool children enrolled in the study to explore early development. Autism Res. 2019;12(5):816–829.
  36. Shamsedine L, Mailhac A, Badaoui A, et al. Breastfeeding association with autism spectrum disorders: a case-control study from Lebanon. Research in Autism Spectrum Disorders. 2020;78(1):101651.
  37. Tanner K, Case-Smith J, Nahikian NM, et al. Behavioral and physiological factors associated with selective eating in children with autism spectrum disorder. Am J Occup Ther. 2015;69(6):1–8.
  38. Page SD, Souders MC, Kral TVE, et al. Correlates of feeding difficulties among children with autism spectrum disorder: a systematic review. J Autism Dev Disord. 2022;52(4):1–20.
  39. Chistol LT, Bandini LG, Must A, et al. Sensory sensitivity and food selectivity in children with autism spectrum disorder. J Autism Dev Disord. 2018;48(2):583–591.
  40. Johnson CR, Turner K, Stewart PA, et al. Relationships between feeding problems, behavior characteristics and nutritional quality in children with ASD. J Autism Dev Disord. 2014;44(9):2175–2184.
  41. Levy-Costa RB, Sichieri R, Pontes NS, et al. Household food availability in Brazil: distribution and evolution (1974-2003). Rev Saúde Pública. 2005;39(4):530–540.
  42. Levy RB, Claro RM, Mondini L, et al. Regional and socioeconomic distribution of food availability in Brazil, 2008-2009. Revi Saúde Pública. 2012;46(1):6–15.
  43. Drenowski, A. Fat and sugar: an economical analysis. Journal Nutr. 2003;133(3):838–840.
  44. Suarez MA, Nelson NW, Curtis AB. Associations of psysiological factors, age, sensory over- responsiveness with food selectivity in children with autism spectrum disorders. Open J Occup Ther. 2012;1(1):1–22.
  45. Hubbard KL, Anderson SE, Curtin C, et al. Comparison of food refusal related with characteristics of food in children with autism spectrum disorder and typically developing children. J Acad Nutr Diet. 2014;114(12):1981–1987.
  46. Boyer JC, Mailloux N. Student teachers' self- perception of their mathematical skills and their conceptions about teaching mathematics in primary schools. Procedia - Social and Behavioral Science. 2015;174(12):1434-1442.
  47. Davidson MM, Weismer SE. Characterization and prediction of early reading abilities in children on the autism spectrum. J Autism Dev Disord. 2014;44(4):828–845.
  48. Nation K, Clarke P, Wright B, et al. Patterns of reading ability in children with autism spectrum disorder. J Autism Dev Disord. 2006;36:911–919.
  49. Huemer S, Mann V. A comprehensive profile of decoding and comprehension in autism spectrum disorders. J Autism Dev Disord. 2009;40(4):485–493.
  50. Lucas R, Norbury C. Levels of text comprehension in children with autism spectrum disorders (ASD): The influence of language phenotype. J Autism Dev Disord. 2014;44(11):2756–2768.
  51. Westerveld MF, Trembath D, Shellshear L, et al. A systematic review of the literature on emerging literacy skills of preschool children with austim spectrum disorder. Journal of Special Education. 2015;50(1):37–48.
  52. Lord C, Elsabbagh M, Baird G, et al. Autism spectrum disorder. Lancet. 2018;392(10146):508–520.
  53. Myles BS, Huggins A, Rome-Lake M, et al. Written language profile of children and youth with Asperger syndrome: from research to practice. Education and Training in Developmental Disabilities. 2003;38(4):362–369.
  54. Racine MB, Majnemer A, Shevell M, et al. Handwriting performance in children with attention deficit hyperactivity disorder (ADHD). J Child Neurol. 2008;23(4):399–406.
  55. Cartmill L, Rodger S, Ziviani J. Handwriting of eight-year-old children with autistic spectrum disorder: an exploration. Journal of Occupational Therapy. 2009;2(2):103–118.
  56. Fuentes CT, Mostofsky SH, Bastian AJ. Children with autism show specific handwriting. Neurology. 2009;73(19):1532–1537.
  57. Fuentes CT, Mostofsky SH, Bastian AJ. Perceptual reasoning predicts handwriting impairments in teenagers with autism. Neurology. 2010;75(20):1825–1829.
  58. Brossard-Racine M, Majnemer A, Shevell M, et al. Handwriting capacity in children newly diagnosed with attention deficit hyperactivity disorder. Res Dev Disabil. 2011;32(6):2927–2934.
  59. Johnson BP, Papadopoulos N, Fielding J, et al. A quantitative comparison of handwriting in children with high- functioning autism and attention deficit hyperactivity disorder. Research in Autism Spectrum Disorders. 2013;7(12):1638–1646.
  60. Graham S, Fisman EJ, Reid R, et al. Writing characteristics of students with attention deficit hyperactivity disorder: a meta-analysis. Learning Disabilities Research & Practice. 2016;31(2):75–89.
  61. Troike M. The Ethnography of communication: an introduction. 3th edn. Blackwell Publishing Ltd. 2003.
  62. Quill KA. Do-watch-listen-say: Social and communication intervention for children with autism. Paul H Brookes Publishing Co. 2000.
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