Screening for autism identifies behavioral disorders in children functional defecation disorders

Frontiers Events is a rapidly growing calendar management system dedicated to the scheduling of academic events. This includes announcements and invitations, participant listings and search functionality, abstract handling and publication, related events and post-event exchanges. Whether an organizer or participant, make your event a Frontiers Event!

This chapter explains the goals and techniques used in floor-time play therapy and how such goals and techniques serve to help the holistic development of Autism Spectrum Disorder (ASD) children. ASD children are often fixated on sensorial and repetitive play. Children diagnosed with ASD show specific traits in their play. Based on clinical observation, the most noticeable quality seen in ASD children's play is its lack of imagination and creativity and its repetitive nature. ASD children also have less variety in functional play, showing more repetition. ASD children play with their toys in a very rigid manner. They lack pretend and imaginative play. Sensory motor play will dominate the ASD child's play, and hinder him or her from engaging in symbolic play. Children with ASD show abnormalities in the first stage of play, which often produce developmental delays in the other phases. The adult interacting with the ASD child can be a therapist, a caregiver, or another significant adult.

Parents with autism spectrum disorder (ASD) children generally suffer from poor coping and an impaired quality of life (QoL). This systematic review investigates parenting stress, positive reappraisal coping, and QoL in parents with ASD children. A literature search was carried out for publications written in English on the selected investigation topics using five databases, namely, Scopus, PubMed, Wiley, ScienceDirect Online, and EBSCO. Only studies investigating or measuring parenting stress, positive reappraisal coping, and QoL in ASD were included. Our results indicate that parents with ASD children have high stress levels. This is associated with the ineffective use of coping strategies and a low QoL. Adaptive coping strategies are related to a higher QoL, whereas maladaptive coping techniques are related to a worse QoL. Positive reappraisal coping is negatively correlated to meaningfulness, and it is used by parents to change their daily routines in order to motivate themselves towards new and evolving goals in life. Finally, we found a significant negative correlation between parenting stress, positive reappraisal coping, and the QoL of parents with ASD children. Positive reappraisal coping as a strategy helps parents adapt to stress and was found to be a potential mediatory function between parental stress and QoL.

Advanced parental age has been associated with autism spectrum disorders (ASDs) in children. However, little is known about the association between grandparental age at the time of birth of the parent and the risk of ASD in the grandchildren. To estimate the associations between parental and grandparental age and ASD risk in children. This population-based, multigenerational cohort study used data from Danish national health registries. A parental age cohort was constructed to evaluate the association between parental age and ASD in 1 476 783 singleton children born from 1990 to 2013, and a multigenerational cohort was also constructed including 362 438 fathers and 458 234 mothers born from 1973 to 1990 for whom information on grandparental age was available. Data analyses were conducted from November 1, 2018, through February 7, 2020. Parental age at childbirth and grandparental age at the time of the birth of the parent. Diagnoses of ASD in children were obtained from the Danish Psychiatric Central Register (1994-2017). Logistic regression analysis was used to estimate the associations between parental or grandparental age and ASD in children. Of the 1 476 783 children born from 1990 to 2013, 758 066 (51.3%) were male, and 27 616 (1.9%) had ASD (20 467 [74.1%] were male). Advanced paternal or maternal age over 30 years was monotonically associated with increased ASD risk, with odds ratios (ORs) of 1.56 (95% CI, 1.45-1.68) for maternal age 40 years and older and 1.57 (95% CI, 1.39-1.78) for paternal age 50 years and older, compared with parents aged 25 to 29 years. In the multigenerational cohort, 9364 grandchildren (1.7%) had ASD. This study found U-shaped associations, in that ASD risk was higher among grandchildren of younger (≤19 years) maternal grandmothers (OR, 1.68; 95% CI, 1.52-1.85), younger maternal grandfathers (OR, 1.50; 95% CI, 1.26-1.78), and younger paternal grandmothers (OR, 1.18; 95% CI, 1.04-1.34), and older (≥40 years) paternal grandmothers (OR, 1.40; 95% CI, 1.03-1.90) compared with the grandchildren of grandparents who were aged 25 to 29 years at the time of giving birth to the parents. These findings corroborate previous studies suggesting that advanced parental age is independently associated with increased ASD risk in children. This study also found that children with young maternal grandparents and children with young and old paternal grandparents had elevated ASD risk. Possible transmission of ASD risk across generations should be considered in etiological research on ASD.

With estimates of prevalence between 1 in 68 and 1 in 88 children [11], accurate and early identification of autism spectrum disorders (ASDs) in young children remains a pressing public health issue. In the absence of a single biomarker for ASD, however, a diagnosis is currently reached on the basis of a portfolio of evidence assembled by various health care professionals, parents and educational specialists. Studies have shown that early diagnosis and subsequent intervention are key to a favourable prognosis for children with autism. Many families, however, experience long periods of time between appointments with health care professionals, thus delaying the diagnosis and subsequent access to support and interventions. In this paper, we consider the potential role of m-health software solutions in supporting the diagnosis and ongoing monitoring of ASDs in young children. We consider their application particularly within the context of the UK’s National Health Service. This paper also presents a review of some of the current literature on user-behaviour analysis software on mobile computing devices such as tablet computers and smartphones, along with some of the emerging m-health solutions for supporting the diagnosis of ASD in children.

Early diagnosis and intervention in children with autism spectrum disorder (ASD) is crucial. At present, diagnosis of ASD is primarily based on subjective tools. Identifying metabolic biomarkers will aid in early diagnosis of ASD complementing the assessment tools. The study aimed to conduct targeted metabolomic analysis and determine the plasma metabolites that can discriminate children with ASD from typically developing children (TD), and to determine the utility of machine learning in classifying ASD children based on the metabotypes. This was a multi-centric, analytical, case-control study conducted between April 2021-April 2023. Fasting plasma samples were obtained from seventy ASD and fifty-eight TD children, aged 2 to 12 years. Samples were quantitively analysed for 52 targeted metabolites (13 amino acids, 37 acylcarnitines, adenosine and 2-deoxyadenosine levels) using tandem mass spectrometry. An in-depth statistical analysis was performed. A total of 26 metabolites (11 amino acids, 14 acyl carnitines and adenosine) were found to be significantly (p < 0.005) different between ASD and TD children. Adenosine and amino acid levels were significantly decreased in ASD children. Among acyl carnitines, short- and long-chain acyl carnitine levels were significantly decreased, while medium-chain acyl carnitine levels were significantly increased in ASD children. Octenoylcarnitine-C8:1 (Cut-off value- 0.025 mmol/L, AUC- 0.683) and adenosine (Cut-off value- 0.025 mmol/L, AUC- 0.673) were found to predict children with ASD at a sensitivity of 55.7% and 57.1%, specificity of 79.3% and 72.4% respectively. Based on the metabolites, machine learning models like Support Vector Machine (SVM) and Random Forest (RF) were able to discriminate ASD from TD children with the classification accuracy score being highest in RF (79.487%, AUC- 0.800). Significant abnormalities in plasma metabolites were observed leading to disturbances in the Krebs cycle, urea cycle and fatty acid oxidation, suggesting mitochondrial dysfunction that may possibly contribute in the pathobiology of ASD. Octenoylcarnitine-C8:1 and Adenosine may serve as potential metabolic biomarkers for ASD.

Previous studies have found that Autism Spectrum Disorder (ASD) children scored lower during a Go/No-Go task and faced difficulty focusing their gaze on the speaker’s face during a conversation. To date, however, there has not been an adequate study examining children’s response and gaze during the Go/No-Go task to distinguish ASD from typical children. We investigated typical and ASD children’s gaze modulation when they played a version of the Go/No-Go game. The proposed system represents the Go and the No-Go stimuli as chicken and cat characters, respectively. It tracks children’s gaze using an eye tracker mounted on the monitor. Statistically significant between-group differences in spatial and auto-regressive temporal gaze-related features for 21 ASD and 31 typical children suggest that ASD children had more unstable gaze modulation during the test. Using the features that differ significantly as inputs, the AdaBoost meta-learning algorithm attained an accuracy rate of 88.6% in differentiating the ASD subjects from the typical ones.

Vitamin D is endowed with a number of biological properties, including down-regulation of inflammation, and might contribute to the pathogenesis of autism spectrum disorders (ASD). Vitamin D binds to the vitamin D Receptor (VDR); the biological activity of the ensuing complex depends on VDR FokI, BsmI, ApaI, and TaqI gene polymorphisms. We evaluated such Single Nucletoide Polymorphismsm (SNPs) in a cohort of 100 Italian families with ASD children. FokI genotype distribution was skewed in ASD children compared with their healthy sibs (Pc = 0.03 2 df) and to a group of 170 Italian healthy women (HC) (Pc = 0.04 2 df). FokI genotype and allelic distribution skewing were also observed in mothers of ASD children compared to HC (Pc = 0.04 2 df). Both Transmission Disequilibrium Test for single loci and haplotype analysis distribution revealed a major FokI (C) allele-mediated protective effect, which was more frequently transmitted (73%) than not transmitted to healthy sibs (P = 0.02). A protective FokI-, BsmI-, ApaI-, and TaqI (CCAG) haplotype was more frequently carried by healthy sibs than by ASD children (P = 1 × 10-4 ; OR: 0.1, 95% CI: 0.03-0.4) too. Finally, a strong gene-dose association of FokI (T) allele with both higher Childhood Autism Rating Scale score (Pc = 0.01) and, particularly, with hyperactivity behavior (Pc = 0.006) emerged in ASD children. Because the protein produced by the FokI (T) allele is transcriptionally less active than that produced by the FokI (C) allele, the reduced biological activity of the vitamin D/VDR complex prevalent in ASD could favor ASD- and maternal immune activation- associated inflammation. Vitamin D supplementation might be useful in preventative and rehabilitation protocols for ASD. Autism Res 2020, 13: 680-690. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Vitamin D deficiency and Vitamin D receptor (VDR) polymorphisms are associated with structural and functional brain abnormalities and behavioral disorders. We analyzed the association of VDR gene polymorphisms in a cohort of 100 Italian families with ASD children. A strong correlation between one of the VDR polymorphisms and hyperactivity behavior was evidenced in ASD children. In healthy mothers, the same VDR polymorphism was also correlated with an increased risk of giving birth to children with ASD.

Introduction: Children and adolescents with autism spectrum disorder (ASD) appear to be at greater risk of excess weight gain. The aim of this systematic review and meta-analysis was to examine whether children with ASD have a greater prevalence of obesity and whether the prevalence of ASD is higher in children with obesity. Methods: We conducted a systematic search on PubMed, Scopus, and PsychINFO until May 21, 2021. We used the meta package in the R in order to calculate the pooled prevalence and relative risk of obesity in children with ASD. Results: We found 20 eligible studies investigating the prevalence of obesity in children with ASD, with the prevalence ranging from 7.9 to 31.8% and from 1.4 to 23.6% among controls. All but three studies originated from the USA. The proportion of children with obesity in ASD populations was 17% (95% confidence interval [CI]: 13–22). The relative risk of obesity in children with ASD compared with control children was 1.58 (95% CI: 1.34–1.86). There were no controlled studies reporting on the prevalence of ASD in children with obesity. Conclusion: Children and adolescents with ASD have a higher prevalence of obesity than healthy controls. There is a need for further prevalence studies of obesity in children with ASD, especially outside the USA, since the few European studies carried out have failed to show a significant difference between obesity prevalence in children with and without ASD. There is no knowledge at all regarding the prevalence of ASD among children with obesity.

Background: Narrative ability is a critical component of social communication essential for participating in everyday activities. Children with autism spectrum disorder (ASD) demonstrate problems in the narrative discourse, but little is known about the features of their fictional stories. Objectives: This study compared fictional narratives between ASD children and they’re typically developing (TD) peers. Methods: Fictional stories produced by 6- to-7-year-old males with high functioning autism (n = 14) were compared with language, sex, and age-matched TD children (n = 15). The stories were analyzed using the monitoring indicators of scholarly language. The macrostructure and microstructure elements, narrative complexity index, story knowledge index, and perspective-taking index were compared between the two groups by one-way analysis of variance (ANOVA) at the significance level of 0.05. Results: The scores of macrostructure and microstructure elements were lower in children with ASD. The ANOVA showed significant differences between ASD and TD children in three indices (P &lt; 0.05). Moreover, the Pearson correlation coefficients between the total macrostructure and microstructure scores were close to one in both ASD (r = 0.89) and TD children (r = 0.93). Conclusions: Despite obtaining scores in the average range in a standard language test, Farsi-speaking children with ASD experience limitations in fictional narratives.

Background: Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder. Folate has been demonstrated to be associated with ASD. However, current studies on the correlation between folate and symptoms of children with ASD have inconsistent conclusions, use mainly small samples, and lack age-stratified analysis. This study aimed to explore the association between serum folate and symptoms of autistic children at different age groups from a multi-center perspective.Methods: We enrolled 1,300 children with ASD and 1,246 typically developing (TD) children under 7 years old from 13 cities in China. The Autism Behavior Checklist (ABC), Social Responsiveness Scale (SRS), and Childhood autism rating scale (CARS) were used to evaluate the symptoms of children with ASD. China neuropsychological and Behavior Scale-Revision 2016 (CNBS-R2016) scale was used to evaluate the neurodevelopment of children with ASD. Serum folate was measured by chemiluminescence assay in the two groups.Results: The serum folate levels of children with ASD were lower than that of TD children. In terms of core symptoms of ASD, we found that the serum folate levels were not associated with ABC, SRS, and CARS scores in ASD children of all ages but negatively associated with communication warning behavior scores of CNBS-R2016 in ASD children aged three and under. Concerning development quotients, it was at the age of three and under that serum folate levels were positively associated with gross motor, fine motor, language, and general quotient of ASD children. These ASD children aged three and under were further divided into two groups according to the median of serum folate (14.33 ng/mL); we found that compared to ASD children with folate ≤ 14.33 ng/mL, those with folate >14.33 ng/mL had lower communication warning behavior score and higher gross motor, fine motor, adaptive behavior, language, person-social, and general development quotients.Conclusion: We found that serum folate status was primarily associated with the neurodevelopment of children with ASD aged three and under. Furthermore, relatively higher serum folate levels may be more beneficial for children with ASD. Our results suggest that folate level should be paid more attention in ASD children, especially in early life, to better promote the intervention of ASD children.

Fecal incontinence (FI) in children is frequently encountered in pediatric practice and represents a difficult and distressing problem. Usually, this is a functional defecation disorder. In approximately 80 % of cases FI is related to constipation, being the result of overflow incontinence, whereas in the remaining 20 % no constipation or other underlying cause can be found; these children suffer from functional nonretentive fecal incontinence (FNRFI). A thorough medical history and physical examination are typically sufficient for an adequate assessment of the underlying cause of functional FI. The non-pharmacological treatment of functional FI consists of education, demystification, a daily bowel diary, and a toilet program with a reward system. The pharmacological treatment of functional FI depends on the underlying cause. Treatment of constipation starts with oral laxatives, preferably polyethylene glycol. In addition, there is anecdotal evidence that loperamide or imipramine could be beneficial in children with FNRFI.

Does IVF increase the risk of autism spectrum disorders (ASDs)? No association between IVF and ASDs or any of its subtypes was found in this sample. Certain prenatal factors may increase the risk of ASDs. Studies on the association between IVF and ASDs have shown inconsistent results. IVF is known to increase the risk of perinatal problems but many of them are related to multiple pregnancies. This case-control study included 4164 autistic cases and 16 582 matched controls born in Finland in 1991-2005. The cases were diagnosed with ASDs by the year 2007. The maximum age at diagnosis was 16 years. Four controls were matched to each case. For singletons the matching criteria were date of birth, place of birth, sex and residency in Finland. For twins the birth order within a twin pair was included as well. In the whole sample, there were 63 cases (1.51%) and 229 controls (1.38%) born after IVF. No significant association was found between IVF and ASDs (adjusted odds ratio (OR): 0.9, 95% confidence interval (CI): 0.7-1.3) or its subtypes childhood autism (OR: 0.8, 95% CI: 0.4-1.5), Asperger's syndrome (OR: 0.9, 95% CI: 0.5-1.6) or other pervasive developmental disorder (OR: 1.0,95% CI: 0.6-1.6). When only singletons were included, there was an association between IVF and Asperger's syndrome in an unadjusted analysis (OR: 2.0, 95% CI: 1.1-3.5) but this was not significant when adjusted for mother's socioeconomic status or parity. When the analyses were conducted separately for boys and girls, there was a significant association between IVF and Asperger's syndrome for boys in an unadjusted analysis (OR: 2.1, 95% CI: 1.2-3.7) but this was not significant in the final adjusted model. Information both on IVF and on ASDs was based on registers and it is possible that there is some misclassification. No information on different subtypes of IVF or other assisted reproduction techniques was available. Statistical power may have been insufficient. This study showed no increased risk of ASDs in children born after IVF but studies with larger sample sizes and information on different subtypes of IVF are needed to confirm the finding. The study was supported by Autism Speaks, NIMH 1K02-MH65422 and NIEHS 1R01ES019004. There are no competing interests.

Objective: The study aimed to compare the nutritional status and symptoms of preschool children with autism spectrum disorder (ASD) from two regions of China, and to analyze the association between nutritional status and symptoms of ASD.Methods: In this cross-sectional study, 738 ASD children and 302 typically developing children (TD) were recruited from Chongqing and Hainan of China. Symptoms of ASD children were evaluated with the Autism Behavior Checklist (ABC), Social Responsiveness Scale (SRS), and Childhood Autism Rating Scale (CARS). Neurodevelopment of ASD children was assessed with the Gesell Developmental Scale (GDS). Nutritional status was evaluated by anthropometric measures, biochemical detection of micronutrients, and providing questionnaire and food frequency questionnaire (FFQ) to caregivers.Results: Comparing ASD children with local TD children, ASD children consumed fewer whole grains, milk and dairy products, beans and soy products, vegetables, and fruits than local TD children in both regions. The serum concentrations of folate, vitamin B12 (VB12), and vitamin D (VD) were consistently lower in ASD children in both regions. Comparing the ASD children between the two regions, the ASD children in Chongqing had significantly higher mean scores of CARS, SRS, and ABC than those in Hainan. The ASD children in Chongqing consumed fewer whole grains, seafood, and fruits than those in Hainan. The serum concentrations of ferritin, vitamin A (VA), VB12, and VD were reduced in the ASD children of Chongqing than those in Hainan, and the ASD children in Chongqing had higher deficiency rates of zinc, ferritin, VA, and VD than those in Hainan. The serum levels of VA, VD, and folate showed a negative association with symptom scores of ASD children. VD and zinc levels had a positive association with the GDS scores of ASD children.Conclusions: ASD children exhibit a higher risk of nutrient deficiencies than neurotypical children, and there are regional differences in the nutritional status of ASD children. Micronutrients VA, VD, folate, and zinc levels were correlated with symptoms and development of ASD children. Therefore, it is essential to provide detailed nutrition evaluation and individualized nutrition interventions for ASD children from different backgrounds.

Objective: To investigate the relationship between gastrointestinal disorders (GID) and core symptoms or behavioral problems among the children with autism spectrum disorder (ASD) . Method: Totally 328 children with ASD and 202 normal controls were enrolled in this cross-sectional study from August 2013 to October 2016. The information about the gastrointestinal disorders, behavioral and emotional problems was collected by using questionnaires. Childhood Autism Rating Scale (CARS), Autism Behavior Checklist (ABC) were used to assess the core symptoms of the children with ASD. Neurodevelopmental status was evaluated with Gesell Developmental Scale (GDS). These variables were analyzed by using student's t-test and chi-square test. Result: The prevalence of GID was significantly higher in the children with ASD than in the normally developing children (49.4% (162/328) vs.25.7% (52/202), χ(2)=29.039, P=0.000), especially the symptoms of constipation (33.2% (109/328) vs. 13.9% (28/202)), diarrhea (9.5%(31/328) vs. 1.5% (3/202)), nausea and vomiting (9.5% (31/328) vs. 3.5% (7/202)), and foul defecation (16.5% (54/328) vs. 5.0% (10/202)) (all P<0.05). Among the ASD children, the prevalence of GID was similar between male and female (46.7% (133/285) vs. 46.5%(20/43), χ(2)=0.006, P=0.938), as well as among all age groups (χ(2)=1.907, P=0.862). There was no significant difference in scores of GDS in the ASD children with or without GID (all P>0.05). Compared with ASD children without GID (n=166), the ASD children with GID (n=162) got higher scores in the "Body and Object Use" of ABC scale ( (16.4±9.3) vs. (12.3±6.7) scores, t=2.258, P=0.028), and had more emotional problems (63.6% (103/162) vs. 49.4% (82/166), χ(2)=6.707, P=0.010). Moreover, the score of behavior problems questionnaire was higher in the ASD children with GID ( (35.3±16.8) vs. (16.1±13.6) scores, t=5.748, P=0.000). Conclusion: Children with ASD have higher risk of GID than the normal developing children. While the stereotyped behaviors, problem behaviors and emotional problems are severer in the ASD children with GID. Hence, it is important to provide comprehensive treatment and management for these groups of children.