Prevalence Of Autism Spectrum Disorder Research Articles

AOP-based framework for predicting the joint action mode of di-(2-ethylhexyl) phthalate and bisphenol A co-exposure on autism spectrum disorder

Autism spectrum disorder (ASD), also known as autism, is a common, highly hereditary and heterogeneous neurodevelopmental disorder. The global prevalence of ASD among children continues to rise significantly, which is partially attributed to environmental pollution. It has been reported that pre- or post-natal exposure to di-(2-ethylhexyl) phthalate (DEHP) or bisphenol A (BPA), two prevalent environmental endocrine disruptors, increases the risk of ASD in offspring. Yet, the joint action mode linking DEHP and BPA with ASD is incompletely understood. This study aims to unravel the joint action mode of DEHP and BPA co-exposure on the development of ASD. An adverse outcome pathway (AOP) framework was employed to integrate data from multiple public database and construct chemical-gene-phenotype-disease networks (CGPDN) for DEHP- and BPA-related ASD. Topological analysis and comprehensive literature exploration of the CGPDN were performed to build the AOP. By analysis of shared key events (KEs) or phenotypes within the AOP or the CGPDN, we uncovered two AOPs, decreased N-methyl-D-aspartate receptor (NMDAR) and estrogen antagonism that were likely linked to ASD, both with moderate confidence. Our analysis further predicted that the joint action mode of DEHP and BPA related ASD was possibly an additive or synergistic action. Thus, we propose that the co-exposure to BPA and DEHP perhaps additively or synergistically increases the risk of ASD.

An ecological study shows increased prevalence of autism spectrum disorder in children living in a heavily polluted area

The burden of autism spectrum disorder (ASD) is increasing worldwide with genetic, epigenetic, and environmental factors being possibly responsible for the observed epidemiological figures. In the setting of environmental exposure, the city of Taranto, in Southern Italy, represents an interesting case study as it hosts well inside the city one of the biggest steel plants in Europe. This is a cross-sectional ecological study carried out in the year 2020 in the province of Taranto designed to estimate the burden of ASD in the municipalities of Taranto and Statte, classified as high environmental risk areas (Contaminated Site of National Interest—SIN), compared to the other 27 municipalities of the same province. Differences have been evaluated using the Chi Square Test. Children aged 6–11 years identified in SIN municipalities had a statistically significant higher prevalence of ASD than children of other municipalities (9.58 vs. 6.66/1000 respectively, p = 0.002). No statistically significant difference was observed for the 12–18 years group (3.41 vs. 2.54/1000, p = 0.12). The findings observed in this study are suggestive of the association between urban residential proximity to industrial facilities emitting air pollutants and higher ASD prevalence.

Social adaptation assistance for children with autism spectrum disorders in Kazakhstan

This study investigates the provision and effectiveness of social adaptation assistance for children with Autism Spectrum Disorder (ASD) in Almaty, Kazakhstan, with the aim of mapping available services, assessing their accessibility and impact, and identifying cultural and societal factors influencing ASD support. Employing a mixed-methods approach, the research combines a systematic literature review and a survey of 20 families with ASD-affected children aged between 4 and 16 years. The literature review focused on articles published from 2010 to 2022, exploring the prevalence of ASD and the extent of support services in Kazakhstan. Results indicate that while state-run educational programs are the most accessed form of assistance, challenges persist in terms of individualized attention and resource sufficiency. Independent and international initiatives are valued for their personalized approach but face limitations in capacity and reach. The study concludes that despite the growing awareness of ASD in Almaty, there is a critical need for comprehensive, culturally sensitive strategies that enhance the social adaptation and integration of children with ASD into society.

DNA Methylation in Autism Spectrum Disorders: Biomarker or Pharmacological Target?

Autism spectrum disorder (ASD) is a group of heterogeneous neurodevelopmental disabilities with persistent impairments in cognition, communication, and social behavior. Although environmental factors play a role in ASD etiopathogenesis, a growing body of evidence indicates that ASD is highly inherited. In the last two decades, the dramatic rise in the prevalence of ASD has interested researchers to explore the etiologic role of epigenetic marking and incredibly abnormal DNA methylation. This review aimed to explain the current understanding of the association between changes in DNA methylation signatures and ASD in patients or animal models. We reviewed studies reporting alterations in DNA methylation at specific genes as well as epigenome-wide association studies (EWASs). Finally, we hypothesized that specific changes in DNA methylation patterns could be considered a potential biomarker for ASD diagnosis and prognosis and even a target for pharmacological intervention.

Incidence of Nonsynostotic Plagiocephaly and Developmental Disorders.

This is the first population-based study quantifying the incidence of nonsynostotic positional plagiocephaly and/or brachycephaly (PPB) in infancy and its association with developmental disorders. To report the incidence of PPB before age 1 year, the incidence of craniosynostosis, and the percentage of children with PPB diagnosed with a developmental disorder by age 7 years. This was a retrospective, population-based cohort study of children in the Rochester Epidemiology Project (REP) born in Olmsted County, Minnesota, from January 1, 2008, through December 31, 2012, with follow-up through age 7 years. Data were analyzed from March 2021 to April 2024. Physical examination detecting cranial deformity. The primary outcome was the incidence of PPB. Secondary outcomes were the incidence of craniosynostosis and the percentage of children with PPB diagnosed with a developmental disorder by age 7 years. Of 9909 infants (5084 [51.3%] male; 9205 [92.9%] born at term and 704 [7.1%] born preterm) included in the study, 575 had PPB, for a PPB incidence of 5.8% (95% CI, 5.3%-6.3%). The incidence of PPB was 5.3% (95% CI, 4.8%-5.8%) in term infants vs 11.8% (95% CI, 9.4%-14.6%) in preterm infants. The incidence of craniosynostosis was 0.16% (95% CI, 0.09%-0.26%). A developmental disorder was known or suspected in 4.2% (95% CI, 2.7%-6.2%) of infants at the time of PPB diagnosis; among 402 infants with PPB and follow-up through age 7 years, 30 (7.5%; 95% CI, 5.0%-10.7%) had a confirmed developmental disorder by 7 years of age. The prevalence of autism spectrum disorder (ASD) in children with a history of PPB who were followed up to age 7 years was 2.2% (9 of 402 children). This study found that only a small percentage of the infants had positional head deformity significant enough to be documented and/or referred for subspecialty evaluation, and only a small subset of these children went on to have a developmental disorder in childhood. This information is helpful for counseling families about their child's developmental risk at time of PPB diagnosis.

A DNN-based diagnosis on autism spectrum disorder in children

The prevalence of autism spectrum disorder (ASD) witnesses a sharp increasing in recent years, and early diagnosis and intervention of ASD are critically needed. This study explored the efficacy of Deep Neural Networks (DNN) in diagnosing ASD among children aged 0 to 10. Utilizing the latest dataset derived from the ASDTests mobile application, which encompasses behavioral characteristics of over 2,000 children, we implemented a DNN model to capture complex non-linear patterns indicative of ASD. The results of comparative analysis with traditional machine learning models revealed DNN's superior accuracy in predicting ASD, indicating that the DNN achieved a significant improvement in identifying minority classes post-imbalance learning treatment. The promising results, including the 99.55% accuracy rate, paved the way for future investigations into integrating DNN with multimodal data analysis and other advanced algorithms to enhance early diagnostic processes and intervention strategies for ASD.

Mate selection and current trends in the prevalence of autism

BackgroundAccording to the most recent U.S. CDC surveillance data, the rise in prevalence of childhood autism spectrum disorder among minority children has begun to outpace that of non-Hispanic white children. Since prior research has identified possible differences in the extent of mate selection for autistic traits across families of different ethnicity, this study examined variation in autism related traits in contemporaneous, epidemiologically ascertained samples of spousal pairs representing Hispanic and non-Hispanic white populations. The purpose was to determine whether discrepancies by ethnicity could contribute to differential increases in prevalence in the current generation of young children.MethodsBirth records were used to identify all twin pairs born between 2011 and 2013 in California and Missouri. Families were selected at random from pools of English-speaking Hispanic families in California and Non-Hispanic White families in Missouri. Autistic trait data of parents was obtained using the Adult Report Form of the Social Responsiveness Scale (SRS-2).ResultsWe did not identify a statistically significant difference in the degree of mate selection for autism related traits between Hispanic and non-Hispanic white spousal pairs. However, the degree of spousal correlation observed in this recent cohort was pronounced (on the order of ICC 0.45) and exceeded that typically reported in prior research (on the order of 0.30), surpassing also widely reported estimates for sibling correlation (also on the order of 0.30).LimitationsThe sample did not allow for a direct appraisal of change in the magnitude of spousal correlation over time and the ascertainments of trait burden were derived from spouse report.ConclusionAcross two epidemiologically ascertained samples of spousal pairs representing Hispanic and non-Hispanic white families across two U.S. states (respectively, California and Missouri), the extent of autism-related trait co-variation for parents of the current generation of young children is substantial and exceeds correlations typically observed for siblings. Given the heritability of these traits and their relation to autism risk, societal trends in the degree of mate selection for these traits should be considered as possible contributors to subtle increases in the incidence of autism over time and across generations.

Autism spectrum disorder in young patients with congenital central hypoventilation syndrome: role of the autonomic nervous system dysfunction

BackgroundCongenital central hypoventilation syndrome (CCHS) is a rare condition characterized by alveolar hypoventilation and autonomic nervous system (ANS) dysfunction requiring long-term ventilation. CCHS could constitute a risk factor of autism spectrum disorder (ASD) due to birth injury related to respiratory failure, which remains to be determined. ANS dysfunction has also been described in ASD and there are indications for altered contribution of ANS-central nervous system interaction in processing of social information; thus, CCHS could be a risk factor for ASD based on pathophysiological background also. Our study aimed to determine the prevalence of ASD among CCHS patients, identify risk factors, and explore the relationship between the ANS, evaluated by heart rate variability indices, and adaptative functioning.ResultsOur retrospective study, based on the analysis of records of a French national center of patients with CCHS under 20 years of age, determined that the prevalence of ASD (diagnosed by a psychiatrist, following the criteria of DSM-4 or DSM-5) was 6/69 patients, 8.7% (95% confidence interval: 3.3–18.0%). In a case (CCHS with ASD, n = 6) – control (CCHS without ASD, n = 12) study with matching on sex, longer neonatal hospitalization stay and glycemic dysfunction were associated with ASD. Adaptative functioning was assessed using Vineland Adaptative behavioral scales (VABS) and heart rate variability indices (including daytime RMSSD as an index of parasympathetic modulation) were obtained from ECG Holter performed the same day. In 19 young subjects with CCHS who had both ECG Holter and VABS, significant positive correlations were observed between RMSSD and three of four sub-domains of the VABS (communication: R = 0.50, p = 0.028; daily living skills: R = 0.60, p = 0.006; socialization: R = 0.52, p = 0.021).ConclusionOur study suggests a high prevalence of ASD in patients with CCHS. Glycemic dysfunction and longer initial hospitalization stays were associated with ASD development. A defect in parasympathetic modulation was associated with worse adaptative functioning.

Emerging Treatments and Therapies for Autism Spectrum Disorder: A Narrative Review.

The prevalence of autism spectrum disorder (ASD) has increased over the last decade. In this regard, many emerging therapies have been described as ASD therapies. Although ASD does not have a cure, there are several management options available that can help reduce symptom severity. ASD is highly variable and, therefore, standard treatment protocols and studies are challenging to perform. Many of these therapies also address comorbidities for which patients with ASD have an increased risk. These concurrent diagnoses can include psychiatric and neurological disorders, including attention deficit and hyperactivity disorder, anxiety disorders, and epilepsy, as well as gastrointestinal symptoms such as chronic constipation and diarrhea. Both the extensive list of ASD-associated disorders and adverse effects from commonly prescribed medications for patients with ASD can impact presenting symptomatology. It is important to keep these potential interactions in mind when considering additional drug treatments or complementary therapies. This review addresses current literature involving novel pharmacological treatments such as oxytocin, bumetanide, acetylcholinesterase inhibitors, and memantine. It also discusses additional therapies such as diet intervention, acupuncture, music therapy, melatonin, and the use of technology to aid education. Notably, several of these therapies require more long-term research to determine efficacy in specific ASD groups within this patient population.

Breaking Barriers: Enhancing Support for Autistic Students Through Individual Education Programs

The prevalence of Autism Spectrum Disorders (ASD) underscored the importance of tailoring educational interventions to accommodate the diverse needs of autistic students in Nigeria. This study investigated the effectiveness of individual educational programs in meeting the needs of autistic students in Nigeria. The study surveyed autistic children, teachers, and parents in special schools in Ikeja, Apapa, and Kosofe Local Government Areas of Lagos State. It used a mixed-methods approach to evaluate the effectiveness of Individual Education Programs (IEPs) in addressing the unique needs of autistic students in mainstream educational settings. The study analyzed academic performance metrics and social skills proficiency in autistic students. It also explored the experiences of teachers, parents, and autistic students through interviews and focus groups. Despite challenges like lack of resources and collaboration issues, teachers shared success stories and strategies. Parents praised positive efforts between home and school, while autistic students expressed improved learning experiences. The synthesis of quantitative and qualitative data provided a holistic evaluation of IEPs' effectiveness in promoting positive outcomes for autistic students. The findings contribute to the discourse on inclusive education, informing practices to refine IEP design and implementation. The study emphasizes providing meaningful educational support tailored to the diverse needs of autistic students in mainstream settings.

Racial Differences in the Prevalence of Autism Spectrum Disorder: A Systematic Review

Racial Differences in the Prevalence of Autism Spectrum Disorder: A Systematic Review

A Case of Autism Spectrum Disorder Treated with Theridion currasavicum Prescribed on the Basis of Group Approach

Abstract Background Autism spectrum disorder (ASD) is a pervasive developmental disorder of unknown aetiology. There is a growing prevalence of ASD globally. Currently, there are no specific treatments that can address the core impairments of ASD. Case Summary A 5-year male child was brought to outpatient department with complaints of irritability, restlessness, howling, repeating words spoken to him, repeating phrases, hand flapping, self-hurting and hurting others, climbing stairs repeatedly, repeated drawing of squares everywhere, poor social interaction, poor peer-play and inappropriate playing with toys. The case was diagnosed as ASD and was assessed with the autism treatment evaluation checklist (ATEC) at baseline and follow-up visits. The case was treated with Theridion currasavicum in centesimal scale. ATEC score at baseline of 118 turned to 69 at the 12th month and 42 after 24 months of treatment. The remedy was repeated during monthly visits in ascending potencies. The child improved in the domains of social interaction, communication, repetitive stereotype movements, restricted interests and general health. The likelihood of causal relationship between intervention and outcome has been discussed as per modified Naranjo criteria for homoeopathy. This case report highlights the usefulness of the group approach and aetiological prescription as one way of arriving at the similimum in children with autism.

A Review on Autism Spectrum Disorder Screening by Artificial Intelligence Methods.

With the increasing prevalence of autism spectrum disorders (ASD), the importance of early screening and diagnosis has been subject to considerable discussion. Given the subtle differences between ASD children and typically developing children during the early stages of development, it is imperative to investigate the utilization of automatic recognition methods powered by artificial intelligence. We aim to summarize the research work on this topic and sort out the markers that can be used for identification. We searched the papers published in the Web of Science, PubMed, Scopus, Medline, SpringerLink, Wiley Online Library, and EBSCO databases from 1st January 2013 to 13th November 2023, and 43 articles were included. These articles mainly divided recognition markers into five categories: gaze behaviors, facial expressions, motor movements, voice features, and task performance. Based on the above markers, the accuracy of artificial intelligence screening ranged from 62.13 to 100%, the sensitivity ranged from 69.67 to 100%, the specificity ranged from 54 to 100%. Therefore, artificial intelligence recognition holds promise as a tool for identifying children with ASD. However, it still needs to continually enhance the screening model and improve accuracy through multimodal screening, thereby facilitating timely intervention and treatment.

Autism Spectrum Disorders: Etiology, Epidemiology, and Challenges for Public Health.

Autism spectrum disorder (ASD) is a growing public health problem. American psychiatrist Leo Kanner is considered the "father of autism." ASD encompasses a range of neurodevelopmental disorders that last throughout life. Symptoms of ASD include impairments in social skills, including specific repetitive behaviors, as well as abnormal sensory responses. The clinical symptoms of ASD vary among patients. Their severity also differs, both in the area of social communication and cognitive functioning. The etiology of ASD is still unclear, although a role is attributed to both genetic and environmental factors. According to the World Health Organization, 1/100 children have ASD, but these estimates vary depending on the methodology used. Nevertheless, early detection of ASD and initiation of appropriate therapy may be essential in the continued functioning of patients and their families. The purpose of this article is to provide an overview of current knowledge about autism spectrum disorders. We discuss factors associated with autism and the prevalence of ASD in various parts of the world, and identify the most common diseases comorbid with ASD, pointing to limitations in the quality of life of patients with ASD and their families.

Differences in caregiver and child factors within families of autistic youth across birth order groups

BackgroundResearch has highlighted the ways that birth order relates to autism spectrum disorder (ASD) prevalence rates. However, little research has focused on how birth order relates to the wellbeing of the family once a child is diagnosed with ASD. Additionally, many family factors (such as measures of parental wellbeing) and elements of child emotional/behavioral symptoms have not yet been investigated when evaluating the potential effects of birth order. The current study aimed to investigate how family birth order may impact caregiver reporting of parental wellbeing/competency and child symptoms. MethodThree groups were created based on caregivers (N = 155) who have (1) a first-born child with ASD and then child(ren) without ASD, (2) child(ren) without ASD and then a child with ASD, and (3) an only child with ASD. Caregivers completed questionnaires measuring family resources, child symptoms, and parental factors. ResultsDespite comparable ratings on family resources and ASD severity, significant differences based on birth order emerged. Having one or multiple children without ASD before having a child with ASD may enhance feelings of satisfaction and competency as a parent. Parents with an only child with ASD also reported higher ratings of competency, had significantly less ASD knowledge, and demonstrated a significant negative correlation between efficacy and knowledge. ConclusionFamilies with an only child with ASD may require further support to augment their knowledge of ASD. Caregivers who have a first-born child with ASD may benefit from interventions focusing on their feelings of parental competency.

Barking Up the Wrong Tree-Motor-Sensory Elements as Prodrome in Autism.

Autism spectrum disorder (ASD) has been intensely investigated since the term was first used over 80 years ago. The prevalence of ASD is constantly rising, and, currently, 1:36 children are diagnosed with this disorder. Despite the intense interest in ASD, the origins of this disorder remain obscure. This article explores motor issues and proprioceptive interoception difficulties as the prodrome of ASD. The importance of early intervention in the prognosis of ASD is common knowledge. Yet, since the communicational and social behaviors typical of ASD are observable only after the age of 18 months, diagnosis and early intervention are delayed. Therefore, the quest into the involvement of sensory-motor difficulties as a source of ASD traits, or at least as a potential early indicator, is warranted, with the intention of enabling early diagnosis and early intervention. This article examines the justification for this new avenue of early diagnosis and intervention and may open up a completely different way of viewing ASD. This new point of view may suggest an original path of assessment and intervention in infancy with this group of clients, possibly leading to improved prognosis for children and their families.

Prevalence of Autism risk among children undergoing regular Psychophysical Development Screening in Kazakhstan

BackgroundInformation about the situation with autism in Kazakhstan is extremely limited due to the lack of research on autism in both Kazakhstan and Central Asia. The prevalence of autism spectrum disorder risk among young children during routine screening was assessed using the M-CHAT-R/F tool. MethodsThis study took place in the offices of pediatric neurologists and family doctors in three primary healthcare organizations in the Karaganda, Kazakhstan. The researchers offered participation in the study and M-CHAT-R checklist completion during visits by parents and children to pediatric neurologists and family doctors for the purpose of screening for psychophysical development. Linear regression analysis was used to determine risk factors for the development of autism spectrum disorder. ResultsThe results of an analysis of 526 study participants showed the prevalence of high-risk autism spectrum disorders to be 27.4%. Factors associated with a high risk of autism spectrum disorder in this study were child age, gender, parental age, and a diagnosis of developmental disorder. ConclusionsThe use of specific tools to screen for developmental disorders by primary care organizations is recommended. Primary care providers have regular contact with children before they reach school age and can provide family-centered, comprehensive, and coordinated care, including more comprehensive medical assessments.

Validation and determining an optimal cut-off score of the Infant Behavior Checklist for autism spectrum disorder.

Given the escalating prevalence of autism spectrum disorder (ASD), the persistent paucity of child psychiatrists in Japan, and the need to prepare for unforeseen situations, such as the COVID-19 pandemic, it is essential to establish a reliable screening tool. This study aims to validate the Infant Behavior Checklist (IBC) developed by Japanese experts and determine its appropriate cut-off score. A total of 354 clinic-referred children, along with their caregivers, participated in this research. Clinical records, including diagnoses established through the sub-structured diagnostic interviews, and the IBC assessments, were subjected to rigorous statistical analysis. Among the 24 items, six failed to reach significance to differentiate ASD from non-ASD cases. The Cronbach's alpha coefficient for the IBC was calculated at 0.77. The IBC total score for ASD cases was significantly higher than that of non-ASD cases. With the chosen cut-off score, the IBC demonstrated an area under the ROC curve of 0.803, along with sensitivity, specificity, positive predictive value, and negative predictive value of 8.03, 0.79, 0.69, 0.34, and 0.94, respectively. The IBC exhibits satisfactory internal consistency and content and discriminant validity. The high sensitivity and other associated indices for the optimal cut-off score of the IBC affirm its validity as a screening instrument for ASD. Nevertheless, further investigations are warranted to ascertain the clinical utility of the IBC.

Trends in behavioral management techniques for dental treatment of patients with autism spectrum disorder: a 10-year retrospective analysis.

Patients with autism spectrum disorder (ASD) present challenges in dental treatment cooperation owing to deficits in communication skills and social interaction. Behavioral guidance, sedation, and general anesthesia may be employed to ensure the quality of dental care for individuals with ASD. This study aimed to examine the trends in dental treatment for patients with ASD who visited the Department of Pediatric Dentistry at Dankook University Jukjeon Dental Hospital, an oral health center for the disabled in the Gyeonggi region, over the past 10 years. This study utilized the order communication system to gather data on sex, age, cooperation level, number of quadrants treated, and administration of sedation or general anesthesia for patients with ASD who visited the Department of Pediatric Dentistry at Dankook University Jukjeon Dental Hospital between January 2013 and December 2022. The total number of patients with ASD increased annually, possibly due to an increase in ASD prevalence and the hospital's designation as a center for disabled oral health. General anesthesia was predominant before 2017, with a shift towards N2O-O2 sedation. The most common age group for sedation or general anesthesia was 6-9 years, with a higher prevalence in males than in females. Notably, N2O-O2 and midazolam sedation resulted in better cooperation and fewer treated teeth than general anesthesia. This study highlights the evolving trends in dental treatment for individuals with ASD, indicating a shift towards outpatient methods, particularly N2O-O2 sedation. The sex distribution aligns with national statistics, emphasizing a higher prevalence of ASD in males than in females. These findings underscore the need for further research to establish evidence-based guidelines for optimal dental care strategies tailored to the unique needs of individuals with ASD.

Unraveling the Spectrum: A Comprehensive Review of Autism Spectrum Disorder in India.

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by deficits in social interaction, communication difficulties, and repetitive behaviors that profoundly impact the lives of affected individuals and their families. This article provides a comprehensive overview of ASD, focusing on screening, diagnosis, and intervention strategies. Early signs of ASD can manifest in infancy, but parents may not recognize them until their child falls behind in meeting social milestones. This delay in recognition is often due to a lack of awareness, societal stigma, and limited knowledge about developmental and behavioral disorders. Globally, ASD prevalence is increasingpotentially due to broader diagnostic criteria, increased awareness, and improved screening practices. Screening for ASD is crucial for early identification and intervention. Various tools are available such as the Modified Checklist for Autism in Toddlers (M-CHATs), Trivandrum Autism Behavioral Checklist (TABC), and the Social Communication Questionnaire (SCQ). Diagnosing ASD involves using established criteria such as the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), and specific diagnostic tools like the Autism Diagnostic Observation Schedule (ADOS) and the Indian Scale for the Assessment of Autism (ISAA). Interventions for ASD should be multidisciplinary, involving professionals such as developmental pediatricians, psychologists, psychiatrists, special educators, occupational therapists, physiotherapists, speech therapists, and social workers. Applied behavior analysis (ABA), naturalistic developmental behavioral interventions (NDBIs), and parent-mediated treatment are among the evidence-based approaches. Additionally, speech-language therapy, motor therapy, and sensory integration therapy play vital roles in addressing the diverse needs of individuals with ASD. Medical interventions should be used alongside behavioral and environmental strategies. Early screening, accurate diagnosis, and tailored interventions are essential for improving the lives of individuals with ASD. A multidisciplinary approach and increased awareness are crucial in addressing the growing prevalence of ASD worldwide.