Modified Checklist For Autism In Toddlers Research Articles

Comparison between the Clancy Behavior Scale and the Modified Checklist for Autism in Toddlers in Taiwan

(1) Background: Precise diagnosis and early intervention are crucial for toddlers with autism spectrum disorder (ASD) to achieve a better prognosis. This study investigated the efficacy of the Clancy Behavior Scale (CBS) and Modified Checklist for Autism in Toddlers (M-CHAT) in detecting ASD among toddlers under 30 months of age. (2) Methods: A total of 215 toddlers (117 with ASD and 98 with development delays) aged between 18 and 29 months participated in this study. All the primary caregivers of these toddlers were recruited to complete the CBS and M-CHAT. (3) Results: The findings indicated that the accuracy of the CBS and M-CHAT was promising, and the short forms of these two instruments performed better than their full versions. The CBS:9 critical items presented a sensitivity of 0.75 and a specificity of 0.74, while the M-CHAT:14 brief items showed a sensitivity of 0.72 and a specificity of 0.85. (4) Conclusions: The diagnostic accuracy of high-risk ASD toddlers improved via the combination of CBS and M-CHAT, particularly when the information gathered from these two instruments were consistent. The findings may provide implications for enhancing the early detection of ASD.

Developmental characteristics and accuracy of autism screening among two-year-old toddlers in the ECHO program.

The Modified Checklist for Autism in Toddlers (M-CHAT) is a common pediatric screening tool with mixed accuracy findings. Prior evidence supports M-CHAT screening for developmental concerns, especially in toddlers born preterm. This study examined M-CHAT accuracy in a large, nationwide sample. 3393 participants from the Environmental influences on Child Health Outcomes (ECHO) program were included. Harmonized M-CHAT (M-CHAT-H) results were compared with parent-reported autism diagnosis and autism-related characteristics to assess accuracy for term and preterm children, together and separately. Generalized estimating equations, clustering for ECHO cohort and controlling for demographic covariates, were used to examine associations between developmental and behavioral characteristics with M-CHAT-H accuracy. Sensitivity of the M-CHAT-H ranged from 36 to 60%; specificity ranged from 88 to 99%. Positive M-CHAT-H was associated with more developmental delays and behavior problems. Children with severe motor delays and more autism-related problems were more likely to have a false-negative M-CHAT-H. Children with fewer behavior problems and fewer autism-related concerns were more likely to have a false-positive screen. The M-CHAT-H accurately detects children at low risk for autism and children at increased risk with moderate accuracy. These findings support use of the M-CHAT-H in assessing autism risk and developmental and behavioral concerns in children. Previous literature regarding accuracy of the Modified Checklist for Autism in Toddlers (M-CHAT) is mixed but this study provides evidence that the M-CHAT performs well in detecting children at low risk for autism and consistently detects children with developmental delays and behavioral problems. The M-CHAT moderately detects children at increased risk for autism and remains a useful screening tool. This study examines M-CHAT accuracy in a large-scale, nationwide sample, examining associations between screening accuracy and developmental outcomes. These findings impact pediatric screening for autism, supporting continued use of the M-CHAT while further elucidating the factors associated with inaccurate screens.

IJCM_333A: Household Air Pollution Exposure and Autism Spectrum Disorder Outcomes in Children: Insights from the HAPIN India Study

Background: The global public health challenge of household air pollution, stemming from conventional cooking practices and the widespread use of solid fuels, is a critical concern. Exposure to indoor air pollutants has been associated with adverse health outcomes, particularly affecting vulnerable populations like pregnant women and young children. The Household Air Pollution and Neurodevelopment (HAPIN) study addresses this issue through a multicentric randomized controlled trial spanning four diverse countries: Guatemala, India, Peru, and Rwanda. Objectives: The study aims to evaluate the prevalence of autistic spectrum disorder among children residing in HAPIN study site of India. Methodology: A cross-sectional assessment for autism spectrum disorders within the HAPIN cohort was done.365 children aged 2 to 3 years were studied to explore the potential link between household air pollution and autism spectrum disorder (ASD). Household air quality, measuring PM2.5, CO, and black carbon, was assessed using established protocols. Neurodevelopmental outcomes, particularly ASD, was screened using the Modified Checklist for Autism in Toddlers (M-CHAT) in children aged 2 to 3 years, and screened positive children were evaluated by a psychiatrist to diagnose autism spectrum disorder using DSM-5 criteria. Results: There is significant association between exposure to air pollutants (PM2.5, CO, and black carbon) and the diagnosis of autism spectrum disorder (ASD), with a prevalence rate of 5.48%. Conclusion: ASD prevalence rate of 5.48%, underscore the global relevance of the impact of household air pollution on neurodevelopment. Urgent interventions are warranted to mitigate the risk of ASD, particularly for vulnerable populations like pregnant women and young children, emphasizing the imperative for cleaner cooking practices and improved indoor air quality.

Screening preterm-born infants for autistic traits may help to identify social communication difficulties at five years of age.

This study compared neurodevelopmental screening questionnaires completed when preterm-born children reached 2 years of corrected age with social communication skills at 5.5 years of age. Eligible subjects were born in 2011 at 24-34 weeks of gestation, participated in a French population-based epidemiological study and were free of motor and sensory impairment at 2 years of corrected age. The Ages and Stages Questionnaire (ASQ) and the Modified Checklist for Autism in Toddlers (M-CHAT) were used at 2 years and the Social Communication Questionnaire (SCQ) at 5.5 years of age. We focused on 2119 children. At 2 years of corrected age, the M-CHAT showed autistic traits in 20.7%, 18.5% and 18.2% of the children born at 24-26, 27-31 and 32-34 weeks of gestation, respectively (p = 0.7). At 5.5 years of age, 12.6%, 12.7% and 9.6% risked social communication difficulties, with an SCQ score ≥90th percentile (p = 0.2). A positive M-CHAT score at 2 years was associated with higher risks of social communication difficulties at 5.5 years of age (odds ratio 3.46, 95% confidence interval 2.04-5.86, p < 0.001). Stratifying ASQ scores produced similar results. Using parental neurodevelopmental screening questionnaires for preterm-born children helped to identify the risk of later social communication difficulties.

The Early Social Cognition Inventory - Autism Version: psychometric properties for young children with autism spectrum disorder

In this study, we examined the psychometric properties of the Early Social Cognition Inventory (ESCI) in children with autism spectrum disorder (ASD). The study included 76 typically developing children (TDC) (mean age= 39.28 months) and 81 participants (mean age= 36.07 months) with clinical diagnoses of ASD. The parents completed both the ESCI and Modified checklist for Autism in Toddlers (M-CHAT) checklists. Our exploratory factor analysis of the ESCI in children with autism revealed two factors (joint attention and understanding beliefs and emotions) with 17 items. We named this 17-item scale the Early Social Cognition Inventory - Autism Version (ESCI-AV). Regarding convergent validity, we found a strong correlation between the ESCI-AV and the M-CHAT (rho = 0.786, p < .001. The discriminant validity of the ESCI-AV was determined by comparing ESCI-AV scores of children with ASD and children with TDC using an independent t-test. The results revealed that TDC scored significantly higher than children with ASD on the ESCI-AV (t = −11.61, df= 155, p < 0.001), thus indicating good discriminant validity of the ESCI-AV. In addition, reliability was assessed using Kuder-Richardson 20 (KR20) and Guttman spilt-half coefficients. Both KR20 (0.85) and Guttman’s split-half (0.88) were high, indicating good reliability and internal consistency of the ESCI-AV. This study indicates that the ESCI-AV measures social cognition in children with ASD under the age of 5 years in a reliable and valid way.

Referral patterns and outcomes of children who failed Modified Checklist for Autism in Toddlers screening during routine health screening at maternal and child health clinics in the northeast district of Penang: A retrospective cohort study.

Autism spectrum disorder (ASD) is a developmental disability that causes significant social, communication and behavioural challenges. The Modified Checklist for Autism in Toddlers (M-CHAT) is a parent-administered screening questionnaire for ASD used at 18 and 36 months of age. This study aimed to determine the outcomes of children who failed M-CHAT screening during routine health screening at maternal and child health clinics in northeast district, Penang and the prevalence of ASD among those with a final diagnosis. This retrospective cohort study was conducted at 12 maternal and child health clinics. All children who failed M-CHAT screening at 18 and 36 months from January 2017 to December 2021 and received a final diagnosis before 31 March 2022 were recruited. All information required was recorded in a data collection form and analysed using SPSS. Multiple logistic regression was performed to assess the association between the factors and ASD status. Eighty-two children failed M-CHAT screening. Fifty children did not receive a final diagnosis. Among 32 children who received a final diagnosis, 25 were diagnosed with ASD (78.1%). Among the children who underwent M-CHAT screening, the odds of having ASD increased by a factor of 1.2 for every 1-unit increase in age at final diagnosis. In northeast district, Penang, more than half of children who fail M-CHAT screening have no final diagnosis. The specificity of the M-CHAT is 78.1% among children with a final diagnosis of ASD. The age at final diagnosis is positively associated with the diagnosis of ASD.

Screening of children attending well baby clinic for risk of autism using modified checklist for autism in toddlers in a pediatric tertiary care Centre in Chennai

Background: Autism spectrum disorder is a common neurodevelopmental disorder with core deficits in social communication, interaction, and restrictive/repetitive behavior. Early intervention provides opportunity for good functional outcome. The study aimed to screen children attending well baby clinic for risk of autism using modified checklist for autism in toddlers (MCHAT) questionnaire. Methods: This descriptive cross-sectional study was conducted on 302 children attending the pediatric well baby clinic. The children aged 16-30 months who met the inclusion criteria were screened for risk of autism using MCHAT. Results: 20 out of 302 children failed the MCHAT screening, 6.6% of the children were found to be at risk of autism. Boys: girls’ ratio was 2:1. Advanced parental age and higher socioeconomic status were found to have significant association with the risk of autism. 70% of children in the at-risk group were first born, 70% of children who failed the MCHAT screen were from a nuclear family. Conclusions: All toddlers attending the well-baby clinic should be screened for autism by pediatricians. MCHAT is a simple easy to use validated tool to screen for autism in a busy pediatric OPD. Timely referral for comprehensive assessment and intervention can help to improve the outcome in children with autism.

Early Prediction of Autistic Spectrum Disorder Using Developmental Surveillance Data

With the continuous increase in the prevalence of autistic spectrum disorder (ASD), effective early screening is crucial for initiating timely interventions and improving outcomes. To develop predictive models for ASD using routinely collected developmental surveillance data and to assess their performance in predicting ASD at different ages and in different clinical scenarios. This retrospective cohort study used nationwide data of developmental assessments conducted between January 1, 2014, and January 17, 2023, with minimal follow-up of 4 years and outcome collection in March 2023. Data were from a national program of approximately 1000 maternal child health clinics that perform routine developmental surveillance of children from birth to 6 years of age, serving 70% of children in Israel. The study included all children who were assessed at the maternal child health clinics (N = 1 187 397). Children were excluded if they were born at a gestational age of 33 weeks or earlier, had no record of gestational age, or were followed up for less than 4 years without an ASD outcome. The data set was partitioned at random into a development set (80% of the children) and a holdout evaluation set (20% of the children), both with the same prevalence of ASD outcome. For each child, demographic and birth-related covariates were extracted, as were per-visit growth measurements, quantified developmental milestone assessments, and referral summary covariates. Only information that was available before the prediction age was used for training and evaluating the models. The main outcome was eligibility for a governmental disabled child allowance due to ASD, according to administrative data of the National Insurance Institute of Israel. The performance of the models that predict the outcome was evaluated and compared with previous work on the Modified Checklist for Autism in Toddlers (M-CHAT). The study included 1 187 397 children (610 588 [51.4%] male). The performance of the ASD prediction models improved with prediction age, with fair accuracy already at 12 months of age. A model that combined longitudinal measures of developmental milestone assessments with a minimal set of demographic variables, which was applied at 18 to 24 months of age, achieved an area under the receiver operating characteristic curve of 0.83, with a sensitivity of 45.1% at a specificity of 95.0%. A model using single-visit assessments achieved an area under the receiver operating characteristic curve of 0.81 and a sensitivity of 41.2% at a specificity of 95.0%. The best performing prediction models surpassed the pooled performance of M-CHAT (sensitivity, 40%; specificity, 95%) reported in studies with a similar design. This cohort study found that ASD can be predicted from routine developmental surveillance data at an accuracy surpassing M-CHAT screening. This tool may be seamlessly integrated in the clinical workflow to improve early identification of children who may benefit from timely interventions.

Neurodevelopmental Outcomes of Children Born to Women Who Traveled to a Zika Virus-Endemic Region During Pregnancy

Abstract Background Zika virus (ZIKV) exposure during pregnancy causes a wide range of congenital malformations and developmental deficits, but we do not know whether potential ZIKV exposure during pregnancy without a formal ZIKV diagnosis results in worse developmental outcomes. Pregnant women without symptoms are not recommended to be tested for ZIKV infection per CDC guidelines. However, ZIKV infections can be asymptomatic, which means that pregnant women may have unknowingly been infected with ZIKV during travel to an endemic region. Our study aims to determine whether neurodevelopmental outcomes of children born to women with a travel history to a ZIKV-endemic region at the height of the pandemic are worse than children without a maternal travel history. Methods We identified women who presented to a maternal-fetal medicine clinic within the University of Wisconsin Hospitals and Clinics system in Madison, WI, between 2015-2018 and recently traveled to a ZIKV-endemic region (n=175) and conducted a retrospective chart review. Children with no maternal travel history to a ZIKV-endemic region were identified by state registry data and matched based on month of birth and gestational age (n=189). Developmental outcomes were defined from regular screening tools obtained during well child visits, the Ages and Stages Questionnaire (ASQ-3), and the Modified Checklist for Autism in Toddlers (MCHAT). We compared the number of “No Concern”, “Borderline” and “Concern” ASQ scores between groups using a generalized linear mixed effects model with a logit link function. The number of Low, Medium or High MCHAT risk scores at 18 and 24 months were compared between groups using Fisher’s exact test. Birth weight, maternal age and maternal race were included as covariates. All reported p-values are two-sided and P&amp;lt;0.05 was used to define statistical significance. Results Cases had a significantly higher rate (13.9%) of borderline/concern scores in the ASQ screening tool compared to controls (7.7%) at 16-22 months (p=0.0288), which appeared to be driven by differences in the personal-social domain where more cases (16.1%) had borderline/concern scores than the controls (5.5%, p=0.0348). There were no differences seen at 9-15 months or at 23-36 months. We also found that cases had higher rates of moderate-high risk scores (10.3%) on the MCHAT compared to controls (2.2%) at 18 months (p=0.0240), but this difference wasn’t statistically significant at 24 months. There were no differences in birth weight, maternal age and gestational age between groups. Very few of the mothers (18.3%) reported 1 or more signs or symptoms consistent with a ZIKV infection, and of the 105 women with ZIKV testing, 103 were negative. Conclusions Our findings indicate that children born to mothers who traveled to a ZIKV-endemic region during pregnancy, regardless of the maternal ZIKV testing result, had worse developmental screening scores around 18 months of age. This suggests that children with maternal travel history to a ZIKA-endemic region should be regularly monitored and receive early formal developmental testing as needed.

Autism Spectrum Disorder detection framework for children based on federated learning integrated CNN-LSTM

The incidence of Autism Spectrum Disorder (ASD) among children, attributed to genetics and environmental factors, has been increasing daily. ASD is a non-curable neurodevelopmental disorder that affects children’s communication, behavior, social interaction, and learning skills. While machine learning has been employed for ASD detection in children, existing ASD frameworks offer limited services to monitor and improve the health of ASD patients. This paper presents a complex and efficient ASD framework with comprehensive services to enhance the results of existing ASD frameworks. Our proposed approach is the Federated Learning-enabled CNN-LSTM (FCNN-LSTM) scheme, designed for ASD detection in children using multimodal datasets. The ASD framework is built in a distributed computing environment where different ASD laboratories are connected to the central hospital. The FCNN-LSTM scheme enables local laboratories to train and validate different datasets, including Ages and Stages Questionnaires (ASQ), Facial Communication and Symbolic Behavior Scales (CSBS) Dataset, Parents Evaluate Developmental Status (PEDS), Modified Checklist for Autism in Toddlers (M-CHAT), and Screening Tool for Autism in Toddlers and Children (STAT) datasets, on different computing laboratories. To ensure the security of patient data, we have implemented a security mechanism based on advanced standard encryption (AES) within the federated learning environment. This mechanism allows all laboratories to offload and download data securely. We integrate all trained datasets into the aggregated nodes and make the final decision for ASD patients based on the decision process tree. Additionally, we have designed various Internet of Things (IoT) applications to improve the efficiency of ASD patients and achieve more optimal learning results. Simulation results demonstrate that our proposed framework achieves an ASD detection accuracy of approximately 99% compared to all existing ASD frameworks.

Ante-, Peri-, and Neonatal Factors Associated with Autism Spectrum Disorders in Vietnam: A Population-Based Cross-Sectional Survey.

Autism Spectrum Disorders (ASDs) are common behavioral syndromes but limited critical evidence in Vietnam. This study aimed to identify ante-, peri- and neonatal factors for ASDs amongst children in Vietnam. This population-based study applied the cross-sectional design with a multistage sampling in 21 urban and rural districts in seven cities/provinces in Vietnam during 2017-2018. Overall, 42,551 children age 18 to 30 months were enrolled in the study. Two phases of assessment using Modified Checklist for Autism in Toddlers (M-CHAT) for screening and diagnostic assessment using Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria for confirmation. We employed univariate and binary logistic regression to identify. Our study showed a fast-growing trend of ASDs amongst children age 18 and 30 months (75.8 per 10,000 individuals). Nine ante-, peri-, and neonatal factors were associated with ASDs: five factors of antenatal period (history of miscarriage/abortion or stillbirth, children conceived by assisted reproduction technologies, having cold, flu or acquiring virus during pregnancy, having gestational diabetes, toxemia, high blood pressure or pre-eclampsia during pregnancy, and having stress or mental disorders during pregnancy); one factors of perinatal period (mode of delivery); and three factors of neonatal period (jaundice, respiratory distress, and newborn seizures). This first large-scale survey in Vietnam confirms some prenatal, perinatal, and postnatal factors with ASDs amongst children age 18 and 30 months. Future interventions should focus on these factors to early diagnosis and intervention to improve functional outcomes for risky children.

Positive screen on Modified Checklist for Autism in Toddlers (M-CHAT) born with very low birth weight and intrauterine growth restriction: a cross-sectional study

BACKGROUND: The aim of this study was to verify the Modified Checklist for Autism in Toddlers (M-CHAT) responses among children born with very low birth weight (VLBW) with and without (IUGR).METHODS: A cross-sectional study was carried out with toddlers born with VLBW, with and without IUGR. IUGR was based both on fetal ultrasound and birth weight for gestational age. M-CHAT was completed by the parents.RESULTS: Sixty-nine children completed the study and 30 (43.4%) screened positive for ASD. Analysis of children with positive and negative M-CHAT screens found no significant differences, except IUGR; 13 (43.3%) vs. 6 (15.3%), P=0.021. Multivariate analysis showed that IUGR remained significant; OR=5.3 (1.3-21.8), P=0.019.CONCLUSIONS: Toddlers born with very low birth weight associated with IUGR have a high risk for autism, according to the M-CHAT. Further studies are needed to confirm these results.

0791 The Association of Sleep with Developmental and Behavioral Factors in Premature Infants

Abstract Introduction Children with neurodevelopmental conditions often experience sleep problems. Whereas sleep is a predictor of behavioral outcomes in children, there is limited evidence regarding sleep as an indicator of neurodevelopmental concerns. This study examined the prevalence of sleep issues and neurodevelopmental conditions in children with a history of prematurity, as well as the role of sleep as a potential indicator for future developmental and behavioral concerns. Methods Electronic health records of 57 young children (M = 31.9 gestational weeks, range = 23 to 40 weeks; 35.1% girls) presenting to a neonatal follow-up clinic were reviewed. Caregivers completed the Brief Infant Sleep Questionnaire (BISQ-R) between 6-16 corrected months (Mage = 11.6 mos) and then completed the Modified Checklist for Autism in Toddlers (M-CHAT) between 16-26 corrected months (Mage = 20.9 mos). Caregivers also completed the Survey of Wellbeing of Young Children (SWYC; n = 56; Mage = 20.9 mos) and the Brief Infant-Toddler Social and Emotional Assessment (BITSEA; n = 32; Mage = 17.4 mos). Results Approximately one-quarter (26.3%) of subjects had a caregiver-perceived child sleep problem at ages 6-16 corrected months. A total of 40.4% of children had clinically significant autism concerns on the M-CHAT and 67.9% had clinically significant concerns on the SWYC. Subsequent caregiver ratings showed that 25.0% of children exhibited challenging behaviors and 34.4% lower social-emotional competency on the BITSEA. Children who demonstrated clinically significant autism risk on the M-CHAT were more likely to have a prior caregiver-identified child sleep problem. Those who later failed the M-CHAT also had increased night waking frequency (2.43 vs 1.82 wakings) earlier in development. Logistic regression indicated that caregiver-identified sleep problems significantly predicted subsequent challenging behaviors on the BITSEA but not later neurodevelopmental concerns on the SWYC or social-emotional competencies on the BITSEA. Conclusion These pilot data suggest that a caregiver-identified child sleep problem at age 6-16 months corrected is linked to more frequent challenging child behaviors in toddlerhood (16-26 corrected months). Caregiver-identified child sleep problems and more night wakings also predicted later neurodevelopmental concerns. Sleep problems in premature infants may thus be an early indication of later behavioral and neurodevelopmental issues. Support (if any)  

Prevalence and nature of prior developmental and medical concerns in toddlers who screen positive for autism in primary care.

The American Academy of Pediatrics recommends that all children be screened for autism at their 18- and 24-month well-child visit. For children who screen positive for autism, it is unknown whether this usually represents the first time a developmental concern has been raised or if other developmental concerns typically precede a positive autism screen. Such knowledge could help guide providers in how to appropriately convey feedback regarding autism screening. This study found that, for close to 80% of children with a positive autism screen, caregivers or providers had a prior autism, language, motor, or other developmental concern documented in the electronic health record. Many also had other prior concerns frequently linked to autism, such as sleep and gastrointestinal problems, and received physical or speech therapy. On average, prior to screening children who received a positive Modified-Checklist for Autism in Toddlers had two documented concerns by at 1 year of age and three concerns by 2 years of age. These findings imply that screening for autism as a part of routine pediatric care likely takes place in the context of larger conversations regarding existing developmental concerns, allowing for a less stigmatizing discussion of autism. Framing the presence of prior concerns in the setting of a positive screen in this context may create a reaffirming space for existing caregiver concerns and a lessened emotional burden on caregivers.

Distinct childhood neurodevelopmental trajectories following very preterm birth

IntroductionVery preterm birth (VPT; &lt;32 weeks’ gestation) constitutes itself an environmental risk factor for a wide range of severe mental disorders. Particularly, 25% of VPT screen positively for autism spectrum disorder (ASD) and often present with co-occurring developmental difficulties, making it challenging to identify those likely to develop ASD traits. Therefore, neurodevelopmental trajectories associated with ASD outcomes need to be identified.ObjectivesHere, we investigated infant-to-childhood ASD traits trajectories, and their association with neurodevelopmental comorbidities, in a sample of VPT children screening positively and negatively on the Modified Checklist for Autism in Toddlers (M-CHAT).MethodsVPT individuals from the Evaluation of Preterm Imaging study (ePrime) underwent behavioural assessments at 2 (M-CHAT and Bayley Scales of Infant Development; N=451) and 4-7 years (Social Responsiveness Scale (SRS-2); N=251). To furtherly assess the presence of comorbid neurodevelopmental disorders at children aged 4-7 years, further assessments of cognitive (WPPSI), ADHD (ADHD-RS-IV scale), and emotional and behavioural problems (SDQ and ECBQ) were conducted.ResultsFindings of the ePRIME 4–7-year follow-up substudy will be presented. VPT children will be grouped using M-CHAT scores, as they reportedly show distinct neurodevelopmental characteristics. Preliminary results showed that ASD traits in infancy are associated with increased neurodevelopmental impairment.ConclusionsVPT infants may be an undescribed “at risk of ASD” or ASD cluster, with clinical features and comorbid neurodevelopmental disorders that differentiate them from other “at-risk” populations. Our findings support the need for routine ASD and ADHD assessments in VPT infants at preschool but also at school ages; and highlight the importance of interpreting ASD screenings in combination with other developmental measures when assessing VPT children. Our results could guide clinicians and researchers to offer personalised interventions aimed at supporting children’s development based on their distinct phenotypic presentations. Further research is needed to develop more accurate screening tools.Disclosure of InterestNone Declared

Associations between Symptom Severity of Autism Spectrum Disorder and Screen Time among Toddlers Aged 16 to 36 Months.

There is growing evidence that prevalence rates of autism spectrum disorder (ASD) are increasing. A number of factors appear to contribute to this increase, including excessive screen time. Screen time seems to be linked to the severity of the symptoms of ASD. Given this, the aim of the present cross-sectional study was to investigate the association between early screen time and ASD symptoms severity in the first 36 months of life. To this end, sixty-eight Iranian toddlers (mean age: 27.09 months; 22.1% females) with ASD were recruited. Parents completed the modified checklist for autism in toddlers (M-CHAT), the Repetitive Behavior Scale-Revised (RBS-R), and a lifestyle checklist. Next, parents rated children's daily exposure to content specifically designed (foreground media) and not specifically designed (background media) for children, along with their daily exposure to social interaction. Per day, toddlers spent 5.12 h (±3.77) with foreground media, 3.72 h (±3.57) with background media, and 2.89 h (±2.74) in interaction with other people (parents). To test the hypotheses, we performed a series of Pearson's correlations and multiple regression analyses. Toddlers' higher severity scores for ASD symptoms were associated with longer foreground (r = 0.234, p = 0.001) and longer background (r = 0.180, p = 0.012) media duration, and with shorter duration of interaction with others (r = 0.192, p = 0.009). Toddlers spending 1 h more in foreground screen time and background screen time have 0.38 and 0.29 more units in the ASD symptom severity scale, respectively, while toddlers spending 1 h more in social interactions have 0.42 fewer units in the ASD symptom severity scale. The screen time and interaction duration are related to ASD symptoms severity of toddlers. The cross-sectional study design precludes causal associations, although bi-directional relationships appear plausible.

Sensitivity and Specificity of the Modified Checklist for Autism in Toddlers (Original and Revised)

The Modified Checklist for Autism in Toddlers (M-CHAT) and the M-CHAT, Revised With Follow-up (M-CHAT-R/F)-henceforth referred to as M-CHAT(-R/F)-are the most commonly used toddler screeners for autism spectrum disorder (ASD). Their use often differs from that in the original validation studies, resulting in a range of estimates of sensitivity and specificity. Also, given the variability in reports of the clinical utility of the M-CHAT(-R/F), researchers and practitioners lack guidance to inform autism screening protocols. To synthesize variability in sensitivity and specificity of M-CHAT(-R/F) across multiple factors, including procedures for identifying missed cases, likelihood level, screening age, and single compared with repeated screenings. A literature search was conducted with PubMed, Web of Science, and Scopus to identify studies published between January 1, 2001, and August 31, 2022. Articles were included if the studies used the M-CHAT(-R/F) (ie, original or revised version) to identify new ASD cases, were published in English-language peer-reviewed journals, included at least 10 ASD cases, reported procedures for false-negative case identification, screened children by 48 months, and included information (or had information provided by authors when contacted) needed to conduct the meta-analysis. The systematic review and meta-analysis was conducted within the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. The Quality Assessment of Diagnostic Accuracy Studies-2 tool evaluated bias in sample selection. Data extraction and quality assessment were performed by 2 authors independently. The overall diagnostic accuracy of the M-CHAT(-R/F) was assessed with the hierarchic summary receiver operating characteristic (HSROC) model. Sensitivity, specificity, diagnostic odds ratios, and HSROC curves of M-CHAT(-R/F). The review included 50 studies with 51 samples. The pooled sensitivity of M-CHAT(-R/F) was 0.83 (95% CI, 0.77-0.88), and the pooled specificity was 0.94 (95% CI, 0.89-0.97). Heterogeneity analyses revealed greater diagnostic accuracy for low- vs high-likelihood samples, a concurrent vs prospective case confirmation strategy, a large vs small sample size, use of M-CHAT(-R/F) Follow-up, and non-English vs English only. Overall, results of this study suggest the utility of the M-CHAT(-R/F) as an ASD screener. The wide variability in psychometric properties of M-CHAT(-R/F) highlights differences in screener use that should be considered in research and practice.

Antepartum periodontitis treatment and risk of offspring screening positive for autism spectrum disorder.

To evaluate if treating maternal periodontal disease, a pro-inflammatory condition, during pregnancy (intervention) compared to after pregnancy (control) reduces the likelihood of offspring screening positive for autism spectrum disorder (ASD). In a follow-up study to the MOTOR randomized trial, we compared rates of positive screens on the Modified Checklist for Autism in Toddlers (M-CHAT) among n = 306 two-year-old toddlers and correlated findings to maternal and cord blood pro-inflammatory interleukin-6 (IL-6). Toddlers in the intervention group had decreased risk of a positive M-CHAT screen (adjusted RR = 0.53, 95% CI 0.29-0.99). Toddlers screening positive compared to negative had higher mean IL-6 in cord blood (1.58 ± 1.14 vs. 1.09 ± 0.72 p = 0.001) and maternal IL-6 change from baseline (1.30 ± 0.61 vs 0.96 ± 0.62 p = 0.03). Treating periodontal disease during pregnancy reduced risk of a positive ASD screen. M-CHAT positivity was associated with increased IL-6 in maternal and cord blood. Trial Registration numbers: Clinicaltrials.gov NCT03423836.

Effectiveness of “Oral Health Care for Children with Autism Spectrum Disorder Module” in Improving Tooth-Brushing Practice among Children with Autism Spectrum Disorder in Hospital Universiti Sains Malaysia

Introduction: Autism spectrum disorder (ASD) is associated with behavioural problems which may affect children’s oral health statuses. Caregivers have crucial roles in caring for these children’s oral health. Thus, this study is aimed to evaluate the effectiveness of the Oral Health Care for Children with ASD (OHASD) Module in improving caregivers’ tooth-brushing difficulties in children ASD. Methods: Quasi-experimental study on caregivers of children with ASD aged 7 to 12 years who were registered at the Psychiatry Clinic Hospital Universiti Sains Malaysia (USM), Kelantan. The sociodemographic data obtained, and behavioural problems were assessed. Tooth-brushing difficulties were evaluated at pre- and six months post-intervention using OHASD Module. Data were analysed using IBM SPSS 26.0. Results: A total of 32 Malay children with ASD including their caregivers participated in this study. Caregivers were mostly mothers (78.1%) and children were mostly boys (84.4%), with mean age (SD) of 39.1 (4.19) and 8.8 (1.52) years respectively. Parent-reported questionnaire using the Modified Checklist for Autism in Toddlers (M-CHAT) showed 65.6% of children were highly sensitive to noises, 53.1% sometimes stared at nothing or wandered without purpose and 59.4% were unable to imitate caregivers’ faces. Significant differences between pre- and post-intervention for items; children who liked to close their mouths, turn their heads in different directions, did not understand the purpose of tooth-brushing (P&lt;0.05). Conclusion: OHASD Module is useful in assisting caregivers in practising daily tooth-brushing of children with ASD.

Differentiating Post-Digital Nannying Autism Syndrome from Autism Spectrum Disorders in Young Children: A Comparative Cross-Sectional Study.

Excessive exposure of young children to digital devices has increased in recent years. Much research has shown that early excessive screentime is associated with autistic-like symptoms. This study aimed to differentiate children with Post-Digital Nannying Autism Syndrome (PDNAS) from children with autism spectrum disorders (ASD) and typically developing children (TDC), both behaviorally and cognitively. This study is comparative and cross-sectional and included three groups of children. The first group consisted of 15 young children with subthreshold autism symptoms. They had not received a formal diagnosis of ASD and had been exposed to digital devices for more than half of their waking time. The second group consisted of 15 young children with ASD, and the third group consisted of 15 young TDC. A lifestyle checklist, a modified checklist for autism in toddlers (M-CHAT), a behavioral flexibility rating scale-revised (BFRS-R), the Gilliam autism rating scale (GARS-2), and a behavior rating inventory of executive functioning-preschool version (BRIEF-P) were used to compare the three groups. The results showed that executive functions and behavioral flexibility were more impaired in children with ASD than in children with PDNAS and in TDC. Also, we found that there was no significant difference in the severity of autism symptoms between the children with ASD and the children with PDNAS. Early excessive exposure to digital devices may cause autism-like symptoms in children (PDNAS). Children with PDNAS are different from children with ASD in executive functions and behavioral flexibility. Further research is needed in this area.