Clinical characteristics of children with ASD and comorbid ADHD: Association with social impairment and externalizing and internalizing behaviours

Contributions of the ELENA Cohort to Study Autism Spectrum Disorder in Children and Adolescents from a Biopsychosocial Framework

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition influenced by a myriad of developmental, biological, psychological, and socio-demographic factors. The ELENA cohort seeks to delineate the intricate interplay of these factors, facilitating the identification of risk factors and the development of targeted interventions. This paper emphasizes the clinical profiles of children and outlines key findings from a biopsychosocial perspective. The ELENA cohort, a multicenter initiative across French regional centers, conducted a systematic prospective analysis on children newly diagnosed with DSM-5 ASD between 2012 and 2019. This encompassed direct assessments and parent-reported questionnaires covering a broad spectrum of developmental, biological, psychological and socio-demographic measures. Embedded case-control studies further examined risk and protective factors, alongside specific environmental and psychosocial influences during pregnancy and early childhood. A subset of participants also contributed biospecimens, with data enhancement via linkage to French National Administrative Healthcare Databases. The study unveils baseline clinical characteristics for 876 children, average age 6 (SD ± 3.3) previously unreported in protocol descriptions. It highlights the study's developmental biopsychosocial approach and its novel findings on children's socio-adaptive functioning, ASD severity, comorbidities, quality of life and interventions. Employing developmental biopsychosocial insights offers a promising pathway to integrating health, social care, and experiential insights, ultimately aiming to enhance the future well-being and outcomes for children with ASD. This approach underscores the need of a holistic, interdisciplinary strategy in encouraging and supporting the ASD community.

Associations of meeting 24-hour movement behavior guidelines with social and emotional function in youth with ASD/ADHD

BACKGROUND

The 24-hour movement behavior (24-HMB) guidelines recommend that children and adolescents (youth) should limit screen time (ST), get an adequate amount of sleep (SL), and engage in sufficient physical activity (PA) to ensure health and healthy development. Meeting 24-HMB guidelines is associated with positive mental health outcomes (e.g., social and emotional function) in the general population. However, it is unclear whether such findings extend to youth with Autism Spectrum Disorder (ASD) and Attention-Deficit/Hyperactivity Disorder (ADHD). Thus, we examined associations of meeting 24-HMB guidelines with social and emotional function in youth with comorbid ASD/ADHD.

METHODS

Data from the 2020-2021 National Survey of Children's Health - a U.S. national, population-based, cross-sectional study - were used. We extracted and analyzed data on youth (aged between 6 and 17 years) diagnosed with comorbidity of ASD/ADHD. Data on movement behaviors (PA, ST, and SL) and specific outcome variables (social function and emotional function) were collected through caregiver-proxy reports. Logistic regressions were performed to examine the associations between meeting 24-HMB guidelines and social and emotional outcomes adjusting for covariates (e.g., age, sex, ethnicity, weight status, birth status, socio-economic status, and receiving medication/behavioral treatment).

RESULTS

Among 979 children and adolescents with comorbid ASD/ADHD, only 3.8 % met all three 24-HMB guidelines. In total, 45.0 % of participants met at least one guideline, and 25.5 % of those met at least two guidelines. Compared to those who did not meet any 24-HMB guidelines, meeting SL + ST guidelines was significantly associated with lower odds of poorer social function (being bullied: OR = 0.3, 95%CI [0.1-0.7]; arguing: OR = 0.2, 95%CI[0.1-0.4]). Furthermore, meeting PA + ST + SL guidelines was associated with lower odds of poorer emotional function (depression: OR = 0.5, 95%CI[0.3-0.7]).

CONCLUSION

Meeting 24-HMB guidelines was associated with better social and emotional function in U.S. youth with comorbid ASD/ADHD; however, currently very few with comorbid ASD/ADHD meet all 24-HMB guidelines. These results emphasize the importance of promoting adherence to the 24-HMB guidelines among youth facing the challenges of comorbid ASD/ADHD. These cross-sectional findings point to the need for further empirical evidence from longitudinal studies to support our conclusions.

The Impact of Co-occurring ADHD on Social Competence Intervention Outcomes in Youth with Autism Spectrum Disorder

PURPOSE

The co-occurrence of autism spectrum disorder (ASD) and attention- deficit/hyperactivity disorder (ADHD) is significant and associated with a host of negative outcomes. Studies investigating social functioning in the presence of the ASD/ADHD co-occurrence have produced mixed findings. The present study further evaluated the impact of co-occurring ADHD on social functioning among youth with ASD and compared treatment response to a social competence intervention between youth with ASD and ASD + ADHD.

METHODS

Two-way repeated measures analyses of variance (ANOVAs) were computed with diagnostic group and time as the independent variables and measures of social functioning as dependent variables. Group and Time effects and Group by Time interactions were examined.

RESULTS

Youth with co-occurring ADHD displayed more impairments related to social awareness, but not in other social areas. Participants in both the ASD and ASD + ADHD groups demonstrated significant improvement following a social competence intervention.

CONCLUSION

Co-occurring ADHD did not negatively affect treatment response. Youth with ASD + ADHD may benefit highly structured interventions with a scaffolded teaching design.

Predictors of health-related quality of life for children with neurodevelopmental conditions

Neurodevelopmental conditions can be associated with decreased health-related quality of life; however, the predictors of these outcomes remain largely unknown. We characterized the predictors of health-related quality of life (HRQoL) in a sample of neurodiverse children and youth. We used a cross-sectional subsample from the Province of Ontario Neurodevelopmental Disorders Network (POND) consisting of those children and young people in the POND dataset with complete study data (total n = 615; 31% female; age: 11.28 years ± 2.84 years). Using a structural equation model, we investigated the effects of demographics (age, sex, socioeconomic status), core features (Social Communication Questionnaire, Toronto Obsessive Compulsive Scale, Strengths and Weaknesses of attention deficit/hyperactivity disorder (ADHD)-symptoms and Normal Behavior), co-occurring symptoms (Child Behaviour Checklist), and adaptive functioning (Adaptive Behaviour Assessment System) on HRQoL (KINDL). A total of 615 participants had complete data for this study (autism = 135, ADHD = 273, subthreshold ADHD = 7, obsessive-compulsive disorder (OCD) = 38, sub-threshold OCD = 1, neurotypical = 161). Of these participants, 190 (31%) identified as female, and 425 (69%) identified as male. The mean age was 11.28 years ± 2.84 years. Health-related quality of life was negatively associated with co-occurring symptoms (B = - 0.6, SE = 0.20, CI (- 0.95, - 0.19), p = 0.004)) and age (B = - 0.1, SE = 0.04, CI (- 0.19, - 0.01), p = 0.037). Fewer co-occurring symptoms were associated with higher socioeconomic status (B = - 0.5, SE = - 0.05, CI (- 0.58, - 0.37), p < 0.001). This study used a cross-sectional design. Given that one's experiences, needs, supports, and environment and thus HrQoL may change significantly over the lifespan and a longitudinal analysis of predictors is needed to capture these changes. Future studies with more diverse participant groups are needed. These results demonstrate the importance of behavioural and sociodemographic characteristics on health-related quality of life across neurodevelopmental conditions.

Exploring telediagnostic procedures in child neuropsychiatry: addressing ADHD diagnosis and autism symptoms through supervised machine learning

Recently, there has been an increase in telemedicine applied to child neuropsychiatry, such as the use of online platforms to collect remotely case histories and demographic and behavioral information. In the present proof-of-concept study, we aimed to understand to what extent information parents and teachers provide through online questionnaires overlaps with clinicians' diagnostic conclusions on attention-deficit/hyperactivity disorder (ADHD). Moreover, we intended to explore a possible role that autism spectrum disorders (ASD) symptoms played in this process. We examined parent- and teacher-rated questionnaires collected remotely and an on-site evaluation of intelligence quotients from 342 subjects (18% females), aged 3-16 years, and referred for suspected ADHD. An easily interpretable machine learning model-decision tree (DT)-was built to simulate the clinical process of classifying ADHD/non-ADHD based on collected data. Then, we tested the DT model's predictive accuracy through a cross-validation approach. The DT classifier's performance was compared with those that other machine learning models achieved, such as random forest and support vector machines. Differences in ASD symptoms in the DT-identified classes were tested to address their role in performing a diagnostic error using the DT model. The DT identified the decision rules clinicians adopt to classify an ADHD diagnosis with an 82% accuracy rate. Regarding the cross-validation experiment, our DT model reached a predictive accuracy of 74% that was similar to those of other classification algorithms. The caregiver-reported ADHD core symptom severity proved the most discriminative information for clinicians during the diagnostic decision process. However, ASD symptoms were a confounding factor when ADHD severity had to be established. Telehealth procedures proved effective in obtaining an automated output regarding a diagnostic risk, reducing the time delay between symptom detection and diagnosis. However, this should not be considered an alternative to on-site procedures but rather as automated support for clinical practice, enabling clinicians to allocate further resources to the most complex cases.

Comorbidity and Characteristics of Autism Spectrum Disorders and ADHD in Children: A Clinically-Based Study

OBJECTIVE

We examined the characteristics and heritability of Autism Spectrum Disorder (ASD) and ADHD through a twin study.

METHOD

Our sample included 44 twins, with at least one twin diagnosed with ASD. Among the participants, 30 had ASD, and 18 of them also had coexisting ADHD.

RESULTS

We observed higher concordance rates for ASD in monozygotic twins compared to dizygotic twins (67% vs. 25%), indicating a genetic influence on ASD. Inattentive symptoms of ADHD were more prevalent in monozygotic twins. The ASD + ADHD group exhibited significantly higher Social Responsiveness Scale scores, indicating greater social difficulties compared to the ASD and typical development groups. Twin analyses revealed that shared genetic factors accounted for 72.25% of the variance in both ASD and ADHD symptoms.

CONCLUSIONS

Our findings suggest that the comorbidity of ASD and ADHD may indicate increased severity and can be explained by shared genetic factors underlying both conditions.

Developmental pathways from preschool temper tantrums to later psychopathology

Temper tantrums are sudden, overt negative emotional displays that are disproportionate to the eliciting event. Research supports that severe temper tantrums during the preschool period are associated with preschool psychopathology, but few studies have identified which characteristics of preschool tantrums are predictive of distal psychopathological outcomes in later childhood and adolescence. To examine this question, we used a prospective, longitudinal dataset enriched for early psychopathology. Participants (N = 299) included 3-to 6-year-old children (47.8% female) assessed for tantrums and early childhood psychopathology using diagnostic interviews and then continually assessed using diagnostic interviews over 10 subsequent time points throughout childhood and adolescence. We identified two unique groupings of tantrum behaviors: aggression towards others/objects (e.g., hitting others) and aggression towards self (e.g., hitting self). While both types of tantrum behaviors were associated with early childhood psychopathology severity, tantrum behaviors characterized by aggression towards self were more predictive of later psychopathology. Children displaying high levels of both types of tantrum behaviors had more severe externalizing problems during early childhood and more severe depression and oppositional defiant disorder across childhood and adolescence. Findings suggest that tantrum behaviors characterized by aggression towards self are particularly predictive of later psychopathology.

Hybrid Techniques of Facial Feature Image Analysis for Early Detection of Autism Spectrum Disorder Based on Combined CNN Features

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder characterized by difficulties in social communication and repetitive behaviors. The exact causes of ASD remain elusive and likely involve a combination of genetic, environmental, and neurobiological factors. Doctors often face challenges in accurately identifying ASD early due to its complex and diverse presentation. Early detection and intervention are crucial for improving outcomes for individuals with ASD. Early diagnosis allows for timely access to appropriate interventions, leading to better social and communication skills development. Artificial intelligence techniques, particularly facial feature extraction using machine learning algorithms, display promise in aiding the early detection of ASD. By analyzing facial expressions and subtle cues, AI models identify patterns associated with ASD features. This study developed various hybrid systems to diagnose facial feature images for an ASD dataset by combining convolutional neural network (CNN) features. The first approach utilized pre-trained VGG16, ResNet101, and MobileNet models. The second approach employed a hybrid technique that combined CNN models (VGG16, ResNet101, and MobileNet) with XGBoost and RF algorithms. The third strategy involved diagnosing ASD using XGBoost and an RF based on features of VGG-16-ResNet101, ResNet101-MobileNet, and VGG16-MobileNet models. Notably, the hybrid RF algorithm that utilized features from the VGG16-MobileNet models demonstrated superior performance, reached an AUC of 99.25%, an accuracy of 98.8%, a precision of 98.9%, a sensitivity of 99%, and a specificity of 99.1%.

Fostering Computational Thinking and Social-emotional Skills in Children with ADHD and/or ASD: a Scoping Review

Although Computational Thinking (CT) is considered an essential 21st century skill, little is known about teaching CT to students with autism spectrum disorder (ASD) and/or attention deficit/hyperactivity disorder (ADHD). To address this gap in the research, we conducted a scoping review to identify those approaches promoting programming skills and/or CT in children aged 6–15 with ASD and/or ADHD. We also investigated which other skills were simultaneously fostered and examined the challenges and benefits reported in the interventions undertaken. Results indicate that fostering programming and/or CT in students with ASD and/or ADHD has a beneficial effect. CT-related skills acquired by such students were found to persist beyond the intervention period and were often associated with an improvement in student social-emotional competences.

Emotional problems in preschool and school-aged children with neurodevelopmental disorders in Spain: EPINED epidemiological project

BACKGROUND

Children with neurodevelopmental disorders (NDD) are often at risk of developing emotional problems.

AIMS AND METHODS

The co-occurrence of anxiety and depression with ASD and/or ADHD was determined by exploring the association with children's clinical and neuropsychological functioning and their parent's mental health. To this end, we assessed 295 preschoolers (PRE; 4-5 years old) and 486 school-aged children (SCH; 10-11 years old) in Tarragona, Spain. NDD diagnoses were based on DSM-5. Emotional problems were assessed using Achenbach's scales.

RESULTS

Emotional problems (PRE: 36%-78%; SCH: 32%-81%) were more common and more severe in participants with NDD than in controls and children in the ASD + ADHD school-aged group were the most affected. In ADHD, emotional problems were associated with more severe symptoms of attention deficit (PRE) and hyperactivity/impulsivity (SCH). In ASD + ADHD, emotional problems showed a trend of association with more severe ASD repetitive behaviours and impaired working memory, whereas in ASD were associated with greater overall ASD severity.

CONCLUSIONS AND IMPLICATIONS

Children with NDD are vulnerable to emotional problems, which become more prevalent and interfering with age. Early detection and intervention aimed at tackling emotional problems can improve NDD prognosis.

Prevalence and treatment of mental, behavioral, and developmental disorders in children with co-occurring autism spectrum disorder and attention-deficit/hyperactivity disorder: A population-based study

There is a lack of nationally representative studies examining the co-occurrence of autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) in children. This study examines comorbid mental, behavioral, and developmental disorders (MBDDs) and associated treatment modalities for children with co-occurring ASD and ADHD. Cross-sectional analyses were conducted using data from the pooled 2016-2018 National Survey of Children's Health (sample n = 102,341). Nationally representative prevalences were estimated for sociodemographic variables, comorbidities, psychotropic medication, and behavioral treatment. We assessed multivariable associations between co-occurring ASD + ADHD and MBDDs, use of psychotropic medication, and receipt of behavioral treatment after adjustment for sociodemographic confounders. Compared to children with ASD without co-occurring ADHD, children with ASD + ADHD had higher prevalence of most MBDDs, including anxiety (AOR 4.03 [95% CI 2.77, 4.87]), depression (AOR 3.08 [95% CI 1.77, 5.36]), behavior or conduct problems (AOR 4.06 [95% CI 2.72, 6.06]), and other mental health conditions. Similarly, compared to children with ADHD without ASD, children with ASD + ADHD had higher odds of anxiety (AOR 3.49 [95% CI 2.65, 4.61]), depression (AOR 1.67 [95% CI 1.21, 2.29]), behavior or conduct problems (AOR 2.31 [95% CI 1.68, 3.17]), and other mental health conditions. Children with ASD + ADHD were significantly more likely to take psychotropic medication than children with ASD without ADHD. Among children with ASD + ADHD, males had higher odds of receiving behavioral treatment, whereas older children and adolescents were more likely to take psychotropic medication. A multidisciplinary approach is necessary to support the complex needs of these children.

Bibliometric Analysis of Research Themes and Trends of the Co-Occurrence of Autism and ADHD

Background

In recent years, there has been a growing body of research suggesting that ASD and ADHD are two disorders that often co-exist. Despite the rapid development of research, little is known about their etiology, diagnostic markers, and interventions, which has led us to review and summarise the development of the field in the hope that this will provide an opportunity to look for future directions.

Methods

A bibliometric approach was used to analyse papers in the field of ASD co-morbidities in ADHD on Web of Science from 1991-2022, using CiteSpace and VOSview to map the country/institution, journal, author, co-citation, and keyword networks in the field and to visualise the results.

Results

A total of 3284 papers were included, showing an increasing trend in terms of posting trends. Research on co-morbidities of ASD has proven to be mainly focused on universities. The USA (1662) published the most relevant literature in this area, followed by the UK (651) and Sweden (388). Lichtenstein P is the most published author (84), and research into the pathogenesis of ASD co-occurring ADHD and related clinical diagnostics is currently at the forefront of the field.

Conclusion

This analysis identifies the most influential institutions and countries, cited journals, and authors in the field of ASD co-morbid ADHD research. The future direction of ASD co-occurring ADHD should be based on improving case identification, discovering the etiological and diagnostic markers of ASD and ADHD, and finding more effective clinical interventions.

Maternal Western-style diet reduces social engagement and increases idiosyncratic behavior in Japanese macaque offspring

Recent evidence in humans and animals indicates an association between maternal obesity and offspring behavioral outcomes. In humans, increased maternal body mass index has been linked to an increased risk of children receiving a diagnosis of early-emerging neurodevelopmental disorders such as Attention Deficit/Hyperactivity Disorder (ADHD) and/or Autism Spectrum Disorder (ASD). However, a limited number of preclinical studies have examined associations between maternal Western-Style Diet (mWSD) exposure and offspring social behavior. To our knowledge, this is the first study to investigate relationships between mWSD exposure and social behavior in non-human primates. Since aberrant social behavior is a diagnostic criterion for several neurodevelopmental disorders, the current study focuses on examining the influence of maternal nutrition and metabolic state on offspring social behavior in Japanese macaques (Macaca fuscata). We found that mWSD offspring initiated less affiliative social behaviors as well as proximity to a peer. Using path analysis, we found that the association between mWSD consumption and reduced offspring social engagement was statistically mediated by increased maternal interleukin (IL)-12 during the third trimester of pregnancy. Additionally, mWSD offspring displayed increased idiosyncratic behavior, which was related to alterations in maternal adiposity and leptin in the third trimester. Together, these results suggest that NHP offspring exposed to mWSD exhibit behavioral phenotypes similar to what is described in some early-emerging neurodevelopmental disorders. These results provide evidence that mWSD exposure during gestation may be linked to increased risk of neurodevelopmental disorders and provides targets for prevention and intervention efforts.

Attention-Deficit/Hyperactivity Disorder Symptoms, Gastrointestinal Symptoms, Sleep Problems, Challenging Behavior, Adaptive Behavior, and Quality of Life in Children and Adolescents with Autism Spectrum Disorder

This study investigated the relationship between sleep, gastrointestinal symptoms, challenging behavior, adaptive behavior, and quality of life between children and adolescents with autism spectrum disorder (ASD), with and without attention-deficit/hyperactivity disorder (AD/HD) symptoms. Parents of 118 children and adolescents with ASD completed the Conners Early Childhood Rating Scale-Parent Short Form or the Conners 3-Parent Short Form, Children's Sleep Habits Questionnaire, Gastrointestinal Symptom Inventory, Behavior Problems Inventory-Short Form, Pediatric Quality of Life Inventory and the Vineland Adaptive Behavior Scales, Second Edition. The ASD group and the ASD with AD/HD groups differed significantly in sleep problems, gastrointestinal symptoms, and quality of life. Regressions indicated that AD/HD symptoms accounted for a small proportion of the variance for the differences in sleep problems and quality of life. AD/HD symptoms contribute to the complex needs of individuals with ASD. Research is necessary to investigate how these symptoms exacerbate comorbidities.

Prevalence of co-occurring autism spectrum disorder and attention deficit/hyperactivity disorder among children in the United States

LAY ABSTRACT

Autism spectrum disorder and attention deficit/hyperactivity disorder are neurodevelopmental disorders that often co-occur in children. However, there are few large, nationally representative studies examining the prevalence of co-occurring autism spectrum disorder and attention deficit/hyperactivity disorder in children. The aim of this study was to estimate the prevalence of parent-reported co-occurring autism spectrum disorder and attention deficit/hyperactivity disorder in the United States and examine associations between having co-occurring autism spectrum disorder and attention deficit/hyperactivity disorder and sociodemographic and household factors. Data were analyzed from the 2016-2018 National Survey of Children's Health. A total of 88,051 children aged 3-17 years old were included in the analysis. Statistical analyses were conducted to assess the associations between sociodemographic and household characteristics and current co-occurrence of autism spectrum disorder and attention deficit/hyperactivity disorder. Approximately 1.2% of children (740,816) aged 3-17 years had co-occurring autism spectrum disorder and attention deficit/hyperactivity disorder. Children who were male, older, reported poor health, or had public or combined public and private health insurance were more likely to have co-occurring autism spectrum disorder and attention deficit/hyperactivity disorder. Conversely, children who were Black, non-Hispanic or multi-racial/other, non-Hispanic were less likely to report co-occurring autism spectrum disorder and attention deficit/hyperactivity disorder than White non-Hispanics. Findings suggest implementing early developmental screening and surveillance for co-occurring autism spectrum disorder and attention deficit/hyperactivity disorder, and coordinating strategies that optimize early identification and intervention for all children suspected of having co-occurring autism spectrum disorder and attention deficit/hyperactivity disorder, particularly those from underrepresented groups.

Autistic Traits and Empathy in Children With Attention Deficit Hyperactivity Disorder, Autism Spectrum Disorder and Co-occurring Attention Deficit Hyperactivity Disorder/Autism Spectrum Disorder

Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorders (ASD) are two of the most represented neurodevelopmental conditions in childhood. The diagnostic shift introduced by the DSM-5, allowing a combined diagnosis of ADHD and ASD, poses different clinical challenges related to diagnostic overshadowing, accuracy of clinical judgment and potential delay in an ASD diagnosis in children presenting with ADHD. Here we tried to disentangle the clinical phenotype and specificity of the two co-occurring conditions in relation to autism traits and empathy, by comparing children with ASD with and without comorbid ADHD with children presenting ADHD only and children with typical development. The child versions of the Autism Quotient (C-AQ) and Empathy Quotient (C-EQ) were administered to a total sample of 198 male children between 6 and 14 years old with age appropriate language skills and normal intelligence. Univariate analysis demonstrated no significant differences in the C-AQ total and subscale scores as well as the C-EQ between children with ASD and children with ASD + ADHD, while children with ADHD alone presented an intermediate phenotype between ASD and TD. Furthermore, a receiver operating characteristic (ROC) analysis was applied to discriminate among the different phenotypes. We found that the C-AQ and C-EQ were accurate at distinguishing with satisfactory reliability between: (a) ASD vs. non- ASD (N-ASD) groups comprising both ADHD and TD children (Area Under the Curve AUC 88% for C-AQ and 81% for C-EQ); (b) ASD and TD (AUC 92% for C-AQ and 95% for C-EQ); (c) ASD and ADHD (AUC 80% for C-AQ and 68% for C-EQ). Our data confirm the reliability of the C-AQ and C-EQ as behavioral markers to differentiate ASD (regardless of comorbid ADHD) from an ADHD condition and TD. Interestingly, in our sample an ADHD condition does not increase the severity of the clinical phenotype in terms of autism traits distribution and empathy, suggesting that the psychological measures detected by the two quantitative instruments are independent of ADHD traits. This evidence will contribute to the translational efforts in developing better tailored treatments and preventive strategies.

Caregivers' Burden of School-Aged Children with Neurodevelopmental Disorders: Implications for Family-Centred Care

Caregivers of children with neurodevelopmental disorders play a central role during the rehabilitation and education processes, but they have an increasing risk of psychosocial problems even if the literature is not so agreed upon the specific and predisposing factors to that. The aim of this study was to examine possibly differences of burden levels in an Italian sample of principal caregivers of children with different kinds of neurodevelopmental disorders and to investigate the possible links between some clinical and sociodemographic variables and the levels of caregiver's burden. 105 caregivers of school-aged children with neurodevelopmental disorders were included in the study and completed three online questionnaires (General Questionnaire, Caregiver Burden Inventory, Zarit Caregiver Burden Scale). Results highlighted that about the half of caregivers show from moderate to high levels of stress, but parents of children with Autism Spectrum Disorder and Intellectual Disability show greater difficulties than parents of children with Attention-Deficit Hyperactivity Disorder, Language and/or Learning Disorder, and Developmental Coordination Disorder. Moreover, it was evident a negative correlation between the burden levels and the age of children, but also a direct correlation between the burden levels and the weekly hours of rehabilitation. These findings show that severity of caregiver's burden is dependent by the type of neurodevelopmental disorder and suggest that an ecological and family-centred approach is necessary to guarantee the life health developmental course of these children.