Causation model of autism: Audiovisual brain specialization in infancy competes with social brain networks

The Independent and Cumulative Effects of Screen Exposure on Suicidal Ideation in Chinese Adolescents with Depressive Symptoms

INTRODUCTION

This study aims to examine the independent and cumulative effects of unhealthy screen exposure on suicidal ideation (SI) in Chinese adolescents with depressive symptoms.

METHOD

A total of 350 adolescents (33.7% males; ages 10-19) completed the Screen Exposure Questionnaire, the Children's Depression Inventory, and the Ottawa Self-Injury Scale. Binary logistic regression analysis models were used to analyze the independent risk effect of screen exposure on SI. A cumulative risk model for screen exposure to SI in adolescents was constructed using restricted cubic splines.

RESULTS

Adolescents who experienced excessive screen time and frequency, mealtime exposure, bedtime exposure, and early screen exposure were significantly associated with the occurrence of SI, and the risk increased nonlinearly with the number of exposures (Pnonlinear = .03).

DISCUSSION

Efforts should be made to reduce adolescents' screen exposure to prevent SI.

Association of Screen Time Exposure With Autism Spectrum Disorder in Four to Six-Year-Old Children in Arar City, Saudi Arabia

Background Autism spectrum disorder (ASD) is a psychopathologic disorder caused by several factors. The early signs include poor interaction and communication, delayed milestones, and repeated behavior patterns. This study aimed to assess the relationship between screen time and ASD severity and investigate the types of electronic devices associated with ASD in children aged four to six years in Arar City, Kingdom of Saudi Arabia (KSA). Methodology A cross-sectional study was conducted in primary healthcare centers (PHCs) in Arar City, KSA. The study enrolled all parents with children aged four to six years attending the PHCs in Arar City, KSA. Results The total sample size was 199 participants. Regarding the relationship between screen time exposure and ASD, there were variable screen time exposure durations, with 22.6% of children exposed for less than an hour, 30.7% for one to two hours, and 46.7% for more than two hours. Moreover, the type of electronic devices to which children were exposed varied, with smartphones being the most prevalent (68.3%). In terms of the age of children since exposure to electronic devices, the data indicated that 30.2% were exposed before the age of two, 35.2% between two and three years, and 34.7% after three years of age. Regarding the relationship with sociodemographic characteristics, there was a statistically significant relationship with the mother's age at birth (p = 0.050), mother's education level (p = 0.009), father's education level (p = 0.049), whether the child was suffering from any chronic or neurological disease (p = 0.008), age since the child was exposed to electronic devices (p = 0.049), and screen time exposure duration (p = 0.040). Conclusions The study highlights the significant association between screen time exposure and the development of ASD in children. Public awareness of this associated risk among caregivers is recommended to follow the protective guidelines. Further research and interventions are needed to better understand and address the impact of screen media use on children's neurodevelopment and overall well-being.

Digital Media and Developing Brains: Concerns and Opportunities

Purpose of Review

The incorporation of digital technologies and their use in youth's everyday lives has been increasing rapidly over the past several decades with possible impacts on youth development and mental health. This narrative review aimed to consider how the use of digital technologies may be influencing brain development underlying adaptive and maladaptive screen-related behaviors.

Recent Findings

To explore and provide direction for further scientific inquiry, an international group of experts considered what is known, important gaps in knowledge, and how a research agenda might be pursued regarding relationships between screen media activity and neurodevelopment from infancy through childhood and adolescence. While an understanding of brain-behavior relationships involving screen media activity has been emerging, significant gaps exist that have important implications for the health of developing youth.

Summary

Specific considerations regarding brain-behavior relationships involving screen media activity exist for infancy, toddlerhood, and early childhood; middle childhood; and adolescence. Transdiagnostic frameworks may provide a foundation for guiding future research efforts. Translating knowledge gained into better interventions and policy to promote healthy development is important in a rapidly changing digital technology environment.

Early-Life Digital Media Experiences and Development of Atypical Sensory Processing

Importance

Atypical sensory processing is challenging for children and families, yet there is limited understanding of its associated risk factors.

Objective

To determine the association between early-life digital media exposure and sensory processing outcomes among toddlers.

Design, Setting, and Participants

This multicenter US study used data that were analyzed from the National Children's Study (NCS), a cohort study of environmental influences on child health and development, with enrollment from 2011 to 2014. Data analysis was performed in 2023. The study included children enrolled in the NCS at birth whose caregivers completed reports of digital media exposure and sensory processing.

Exposures

Children's viewing of television or video at 12 months (yes or no), 18 months, and 24 months of age (hours per day).

Main Outcomes and measures

Sensory processing was reported at approximately 33 months of age on the Infant/Toddler Sensory Profile. Quadrant scores (low registration, sensation seeking, sensory sensitivity, and sensation avoiding) were categorized into groups representing typical, high, and low sensory-related behaviors, and multinomial regression analyses were performed.

Results

A total of 1471 children (50% male) were included. Screen exposure at 12 months of age was associated with a 2-fold increased odds of being in the high category of low registration (odds ratio [OR], 2.05; 95% CI, 1.31-3.20), while the odds of being in the low category instead of the typical category decreased for sensation seeking (OR, 0.55; 95% CI, 0.35-0.87), sensation avoiding (OR, 0.69; 95% CI, 0.50-0.94), and low registration (OR, 0.64; 95% CI, 0.44-0.92). At 18 months of age, greater screen exposure was associated with increased risk of high sensation avoiding (OR, 1.23; 95% CI, 1.03-1.46) and low registration (OR, 1.23; 95% CI, 1.04-1.44). At 24 months of age, greater screen exposure was associated with increased risk of high sensation seeking (OR, 1.20; 95% CI, 1.02-1.42), sensory sensitivity (OR, 1.25; 95% CI, 1.05-1.49), and sensation avoiding (OR, 1.21; 95% CI, 1.03-1.42).

Conclusions and Relevance

In this cohort study, early-life digital media exposure was associated with atypical sensory processing outcomes in multiple domains. These findings suggest that digital media exposure might be a potential risk factor for the development of atypical sensory profiles. Further research is needed to understand the relationship between screen time and specific sensory-related developmental and behavioral outcomes, and whether minimizing early-life exposure can improve subsequent sensory-related outcomes.

Infant screen media and child development: A prospective community study

The current study examined longitudinal associations between early screen media exposure (assessed at 6, 12, and 24 months) and the child's motor and language/communication development at the ages of 24 and 36 months. We also aimed to study whether these associations varied by socioeconomic status (SES). Participants were 179 parent-infant dyads, recruited from well-baby clinic services during routine visits. Child development measures included standardized measures of developmental milestones as assessed by professionals and referral data to child developmental centers. Both measures were retrieved from the official health maintenance organization records by an expert in child development. Results indicated that screen exposure at 6 and 12 months was associated with a higher risk for language/communication deficits at 36 months in children with moderate or high SES but not in children with low SES. Our findings are consistent with existing literature demonstrating cross-sectional and longitudinal associations between early screen exposure and language development deficits. Given that media use practices and motivations vary among families from different backgrounds, further investigation of the interaction between SES and screen exposure is needed.

Machine Learning Algorithms Applied to Predict Autism Spectrum Disorder Based on Gut Microbiome Composition

The application of machine learning (ML) techniques stands as a reliable method for aiding in the diagnosis of complex diseases. Recent studies have related the composition of the gut microbiota to the presence of autism spectrum disorder (ASD), but until now, the results have been mostly contradictory. This work proposes using machine learning to study the gut microbiome composition and its role in the early diagnosis of ASD. We applied support vector machines (SVMs), artificial neural networks (ANNs), and random forest (RF) algorithms to classify subjects as neurotypical (NT) or having ASD, using published data on gut microbiome composition. Naive Bayes, k-nearest neighbors, ensemble learning, logistic regression, linear regression, and decision trees were also trained and validated; however, the ones presented showed the best performance and interpretability. All the ML methods were developed using the SAS Viya software platform. The microbiome's composition was determined using 16S rRNA sequencing technology. The application of ML yielded a classification accuracy as high as 90%, with a sensitivity of 96.97% and specificity reaching 85.29%. In the case of the ANN model, no errors occurred when classifying NT subjects from the first dataset, indicating a significant classification outcome compared to traditional tests and data-based approaches. This approach was repeated with two datasets, one from the USA and the other from China, resulting in similar findings. The main predictors in the obtained models differ between the analyzed datasets. The most important predictors identified from the analyzed datasets are Bacteroides, Lachnospira, Anaerobutyricum, and Ruminococcus torques. Notably, among the predictors in each model, there is the presence of bacteria that are usually considered insignificant in the microbiome's composition due to their low relative abundance. This outcome reinforces the conventional understanding of the microbiome's influence on ASD development, where an imbalance in the composition of the microbiota can lead to disrupted host-microbiota homeostasis. Considering that several previous studies focused on the most abundant genera and neglected smaller (and frequently not statistically significant) microbial communities, the impact of such communities has been poorly analyzed. The ML-based models suggest that more research should focus on these less abundant microbes. A novel hypothesis explains the contradictory results in this field and advocates for more in-depth research to be conducted on variables that may not exhibit statistical significance. The obtained results seem to contribute to an explanation of the contradictory findings regarding ASD and its relation with gut microbiota composition. While some research correlates higher ratios of Bacillota/Bacteroidota, others find the opposite. These discrepancies are closely linked to the minority organisms in the microbiome's composition, which may differ between populations but share similar metabolic functions. Therefore, the ratios of Bacillota/Bacteroidota regarding ASD may not be determinants in the manifestation of ASD.

Critical window for the association between early electronic screen exposure and hyperactive behaviors in preschool children

Electronic screens have become an integral part of modern life, accompanied with growing concerns for children's neuropsychological development. This study aimed to evaluate the associations between measures of early life screen exposure and hyperactive behaviors among preschool children. The study also aimed to investigate their cumulative effects and the critical window for these associations. A cross-sectional survey was conducted among 52 625 mother-child dyads at preschools in LongHua District of Shenzhen, China. A self-administered structured questionnaire was used to assess socio-demographic characteristics, duration of children's electronic screen exposure in each of the first 3 years following birth and the presence of current hyperactive behaviors. A series of logistic regression models were used to examine the relationship between previous screen time and current hyperactive behaviors. A crossover analysis was used to explore the critical window for a significant relationship between screen time and hyperactive behaviors. We found that exposure to electronic screens in the first 3 years of life was associated with hyperactive behaviors in preschool children. A cumulative effect was shown in children with an average daily screen time less than 60 min, with adjusted ORs increasing from 1.262 to 1.989 as screen exposure years increased from 1 to 3 years. A critical window was identified in that children in the first 2 years after birth were vulnerable to electronic screen exposure. Exposure to televisions, mobile phones, and computers were all related to elevated risks for hyperactive behaviors. In conclusion, early screen exposure appears to increase the risk for hyperactive behaviors in preschool children with the presence of a cumulative effect, a critical window and different electronic screens having similar effects.

Early Screen-Time Exposure and Its Association With Risk of Developing Autism Spectrum Disorder: A Systematic Review

Autism spectrum disorder (ASD) is a neurological deficit in brain functions that prevents a child from having a normal social life like his peers. It results in the inability to interact and communicate with others. Unsurprisingly, the alarming increase in screen-time exposure in children has become even more of a concern. Electronic devices are a double-edged sword. Despite their benefits, they have many potential hazards to children's neurological development. Previous studies have investigated the effects of unsupervised screen time and its impact on white matter development during the early years of life of children. The white matter has an important role in the development of neurological functions. This systematic review aims to qualitatively analyze the literature available on early screen time exposure and its association with the risk of developing ASD. This systematic review implemented the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) 2020 guidelines. PubMed, PubMed Central (PMC), Google Scholar, and Cochrane Library databases were searched for data in the recent six years. A total of 27,200 articles were identified using the MeSH and keywords through four selected databases. Search results revealed 70 from PubMed, 17,700 from Google Scholar, zero from Cochrane Library, and 9,430 from PubMed Central. After applying filters and screening the results by title and abstract and then by full text, 11 studies fulfilled the criteria to be included in the review. We found that the longer the period of screen exposure, the higher the risk that the child may develop ASD. Further, the earlier the child is exposed to screens, the higher the risk of developing ASD in children compared to children exposed later.

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.

Effect of Media Exposure on Social Development in Children

Purpose

The prevalence of autism spectrum disorder in children, who show problems in social development, is increasing rapidly. If children watch media at an early age, they lose the time to interact with their parents and will not be able to play creatively, which can have a negative impact on social development. This study was performed to evaluate the association of media exposure with social developmental delay.

Methods

The sample consisted of 96 patients with social developmental delay who visited the developmental disorder clinic from July 2013 to April 2019. The control group included 101 children who visited our developmental clinic with normal developmental screening test results during the same period. The data were collected using self-reported questionnaires with questions regarding media exposure time, content, background media or foreground media, the age of first exposure, and media exposure with or without parents.

Results

In regard to media exposure time, 63.5% of the social developmental delay patients were exposed to media for more than 2 hours a day compared to 18.8% of the control group (P < .001, [OR] = 8.12). In the risk factor analysis of media exposure on social development, male gender, media exposure before 2 years of age, exposure for more than 2 hours, and exposure alone without parents were statistically significant.

Conclusion

Media exposure was a significant risk factor for social developmental delay.

Excessive audio-visual stimulation leads to impaired social behaviour with an effect on amygdala: Early life excessive exposure to digital devices in male rats

Today, the effect of extreme early-life exposure to digital devices is suggested as a risk factor for neurodevelopmental disorders. However, the multitude of factors that influence brain development with subsequent behavioural abnormalities have not been fully elucidated. Herein, we simulated extreme early-life exposure to digital devices in rats by audio and visual stimulation and investigated its effects on autism-related behaviours and brain structural alteration. Male rat pups were exposed to excessive audio-visual stimulation (EAVS) from PND (post-natal day) 12 to PND 35, with and without maternal separation (MS). Autism-related behaviours including abnormal sociability, stereotype behaviours, anxiety and locomotor dysfunction were tested at PND 42. Brain structural alternation was examined by considering the amygdala, mPFC (medial prefrontal cortex) and hippocampal regions while performing 3D quantitative stereological analysis. We found that EAVS led to social behaviour deficit and higher locomotion in rats, which were associated with increases in the number of neurons and volume of the amygdala. We also showed that MS did not exaggerate the effect of extreme sensory stimulation on behaviour and the structure of the brain. This study proposed EAVS in rats as an animal model of early exposure to digital devices for investigating possible neurobiological alternations underlying autistic-like behaviours with an emphasis on the amygdala area.

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.

Differential diagnosis between autism spectrum disorder and other developmental disorders with emphasis on the preschool period

BACKGROUND

Neurodevelopmental disorders are a heterogeneous group of conditions that manifest as delays or deviations in the acquisition of expected developmental milestones and behavioral changes. Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in communication and social interaction and by repetitive and restricted patterns of behavior, interests and activities. The aim of this review is to discuss the clinical features of the differential diagnoses of ASD that are prevalent among preschoolers, focusing on their similarities and disparities.

DATA SOURCES

The international medical literature search was conducted using PubMed and was revised regarding the subject using single and/or combined keywords as follows: differential diagnosis, preschoolers, diagnostic challenge, attention deficit hyperactivity disorder, intellectual disability, high abilities/giftedness, childhood apraxia of speech, social communication disorder, Landau-Kleffner syndrome, stereotyped movement disorder and excessive screen time.

RESULTS

We describe conditions commonly found in clinical practice, taking ASD as a reference. We addressed converging and divergent aspects of behavior, cognition, communication, language, speech, socialization, and stereotypes for the diagnosis of ASD and other disorders identified as potential differential or comorbid diagnoses.

CONCLUSIONS

The ranking and characterization of symptoms appear to be essential for better understanding the underlying common ground between children with developmental disorders and children with ASD, thus properly diagnosing and directing social, professional, or medication interventions. This detailed discussion adds to the literature since, although ASD differential diagnoses are frequently mentioned and discussed in textbooks and journal articles, they rarely occupy a prominent place as we aimed herein.

Screen time reduction and focus on social engagement in autism spectrum disorder: A pilot study

BACKGROUND

There is growing concern regarding early screen media exposure and its potential effects on developmental delays including autism spectrum disorder (ASD). However, there is little research examining whether interventions can decrease screen media exposure and ASD behaviors among children with ASD.

METHODS

Participants were nine children, 18 to 40 months old, with an ASD diagnosis who watched screens at least 2 h per day. Screen viewing history and weekly screen viewing and social interaction were assessed. The intervention involved a parent education program followed by weekly 1 h in-home support visits aimed at replacing screen time with social engagement time over a 6 month period. Child autism symptoms (Brief Observation of Social Communication Change), functional behavior (Vineland Adaptive Behavior Scales), and development (Mullen Scales of Early Learning) were assessed before and after intervention; parents completed questionnaires on parental stress (Autism Parenting Stress Index) and their perceptions of the intervention.

RESULTS

Children's screen viewing decreased from an average of 5.6 h/day prior to intervention to 5 min/day during the study. Significant improvements were observed in core autism symptoms and parental stress from pre- to post-intervention.

CONCLUSIONS

Parent education and training/support to minimize screen time and increase social interaction for young children with ASD was tolerated well by parents and children. These promising preliminary results suggest that further research on early screen media viewing, ASD, and screen reduction intervention is warranted.

Video game treatment of amblyopia

Amblyopia is visual impairment characterized by a structurally normal eye showing significantly lower visual acuity than the fellow eye. Traditional treatment of amblyopia includes patching the good eye to force the amblyopic eye to work during normal daily activities; however, this approach is are limited by low compliance. Recently, researchers proposed a new treatment for amblyopia: video game playing. In the current review, we discuss whether video game playing can treat amblyopia, whether video game playing could better treat amblyopia than traditional treatments, and how the video game treats amblyopia and its possible mechanism. Based on results from our literature review and meta-analysis, we suggest there is strong evidence for the effectiveness of video game treatments. Moreover, multiple factors within and outside of video games could influence the treatment effect.

Internet-based versus face-to-face intervention training for parents of young children with excessive screen-time and autism spectrum disorder-like symptoms: a comparative study

Internet-based intervention approach is one novel strategy to train. However, only a few clinical trials have compared internet-based parent training intervention with an equal face-to-face intervention for children with autism spectrum disorder (ASD)-like symptoms. The primary aim of this study was to compare treatment outcomes of an internet-based intervention with a face-to-face intervention for young children with excessive screen-time and ASD-like symptoms. A total of 40 mother-young children with excessive screen-time and ASD-like symptoms dyads were assigned to the Internet-based (n = 20) and to the face-to-face intervention (n = 20). Parents in both groups received intervention that involves 7 sessions (one session per week). Primary outcome measures were the Gilliam autism rating scale - second edition (GARS-2), repetitive behavior scale- revised (RBS-R) and parenting stress index (PSI). The analysis yielded no significant between-group difference for any of the pre- to post-intervention measurements. At post-intervention both intervention conditions revealed significant symptoms changes compared to before the intervention. Also, the parental stress was significant related to the child's autism symptoms and repetitive behaviors severity. Internet-based parent training intervention for young children with excessive screen-time and ASD-like symptoms and their parents is equally beneficial to regular face-to-face parent training intervention. These findings support the potential for using telehealth to provide research-based parent training interventions to any family that has access to the Internet.

Screen time and autistic-like behaviors among preschool children in China

Screen time is becoming increasingly common in daily life. Early and excessive screen use has raised growing concerns for children's neuropsychological development. The purpose of this study was to evaluate the association between exposure to screen time in early life and the presence of autistic-like behaviors among preschool children. 29,461 child-caregiver dyads at kindergartens in Longhua New District of Shenzhen, China, were enrolled in this cross-sectional study. Information concerning socio-demographic characteristics, frequency and duration of children's electronic screen exposure for each year since birth, and autistic-like behaviors (measured by the Autism Behavior Checklist) were collected using a self-administered structured questionnaire completed by the primary caregivers. A series of logistic regression models assessed the association between screen time and autistic-like behaviors. Results indicated that younger initial age, longer daily screen time and longer cumulative years of screen exposure since birth were associated with the presence of autistic-like behaviors at preschool age. The risk was enhanced with the increase of both daily screen time and cumulative years of screen exposure during preschool period. Moreover, the cross-over analysis indicated that the first three years following birth might be a sensitive period for children when screen exposure increases the risk of experiencing autistic-like behaviors. In conclusion, our study implied that screen exposure in early life might increase the occurrence of autistic-like behaviors among preschoolers. These findings support the need for early interventions into preschoolers' screen use, however longitudinal studies are necessary to further confirm the causal relationship between early screen time and the incidence of later autistic-like behaviors among preschool children.

Early Electronic Screen Exposure and Autistic-Like Behaviors among Preschoolers: The Mediating Role of Caregiver-Child Interaction, Sleep Duration and Outdoor Activities

Research into early screen exposure has raised growing concerns about its impact upon children’s neuropsychological well-being. However, possible pathways remain unclear. This study therefore aimed not only to evaluate the association between screen exposure during the ages of 0–3 years and preschoolers’ autistic-like behaviors, but also the mediating roles of the frequency of caregiver-child interaction, sleep duration and level of participation in outdoor activities. Based on the 2017 survey of the Longhua Child Cohort Study, data of 29,595 child-caregiver dyads were obtained via a caregiver-reported questionnaire, with the data from 29,461 dyads included in the data analysis. Multiple linear and logistic regression models were employed to estimate the associations between screen exposure, caregiver-child interaction, sleep duration, outdoor activities, and children’s autistic-like behaviors. The results indicated that screen exposure during 0–3 years of age was associated with the presence of autistic-like behaviors at preschool age, and the strength of the association was enhanced with the increase of average daily screen time (Odds Ratios (ORs) ranging from 1.358 to 4.026). The frequency of caregiver-child interaction and sleep duration mediated 5.32% and 1.19% of the variance of the association respectively, but outdoor activities did not mediate the association. Our findings indicate that preschoolers who are exposed to screens at aged 0–3 years might have an increased risk of autistic-like behaviors, and that, the frequency of caregiver-child interaction and sleep duration might function as potential mediators of this association.

Age-Specific Time Trends in Incidence Rates of Autism Spectrum Disorder Following Adaptation of DSM-5 and Other ASD-Related Regulatory Changes in Israel

We analyzed data on 879,029 children born in 1999-2017 from a large Israeli health fund to evaluate time-trends in incidence of autism spectrum disorder (ASD). This included examining possible effects associated with the adaptation of the DSM-5 criteria for ASD, and the implementation of regulatory changes affecting eligibility for ASD-related stipends and services. ASD cases were ascertained based on electronic medical records review, with complete verification of ASD case status. Results indicated a substantial increase in ASD incidence rate (IR) over time that was overall not appreciably affected by the above changes. Cumulative incidence through age 8 rose from 0.46% (boys: 0.73; girls: 0.18) in 2007 to 1.30% (boys: 2.12; girls: 0.45) in 2018. Age-specific analyzes indicated that the largest increase in IR occurred in toddlers and preschool children, with a more modest increase at older age groups. Results suggest that the rise in early diagnosed ASD does not stem from a downward shift in the distribution of ages at first diagnosis, but rather from early detection of cases not previously diagnosed. Findings highlight the need to expand research aimed at identifying exogenous factors that may underlie the rise in incidence, and to evaluate factors that may contribute to late diagnosis of some cases. Autism Res 2020, 13: 1893-1901. © 2020 International Society for Autism Research and Wiley Periodicals LLC LAY SUMMARY: In an analysis of nearly 900,000 Israeli children born in 1999-2017, we found that the incidence of autism spectrum disorder (ASD) increased significantly over time, especially among toddlers and preschool children but also at older age groups. We additionally observed that changes affecting diagnostic criteria for ASD and eligibility for ASD-related services did not appreciably affect these trends. Results highlight the need to continue research aimed at identifying factors causing this increase and reasons contributing to late diagnosis of some cases.

Association of Early-Life Social and Digital Media Experiences With Development of Autism Spectrum Disorder-Like Symptoms

IMPORTANCE

Despite growing evidence that parent-child interactions and time viewing digital media affect child development, these factors have rarely been studied in association with autism spectrum disorder (ASD) symptoms.

OBJECTIVE

To determine the association of experiential factors, including social activities and screen viewing in the first 18 months of life, perinatal factors, and demographic factors, with ASD-like symptoms and risk on the Modified Checklist for Autism in Toddlers (M-CHAT) at 2 years.

DESIGN, SETTING, AND PARTICIPANTS

Data for this cohort study were derived from the National Children's Study, a US multicenter epidemiological study of environmental influences on child health and development. A total of 2152 children were enrolled at birth from October 1, 2010, to October 31, 2012. Data were analyzed from December 1, 2017, to December 3, 2019.

EXPOSURES

Caregivers reported whether the child viewed television and/or videos (yes or no) at 12 months of age, hours of viewing at 18 months of age, time spent by the caregiver reading to the child (number of days per week compared with daily) at 12 months of age, and frequency of playing with the child (daily or less than daily) at 12 months of age. Prematurity, maternal age at birth, child sex, household income, race/ethnicity, and caregiver English-language status were included in analysis.

MAIN OUTCOMES AND MEASURES

Significant association of exposures with ASD risk by M-CHAT and/or ASD-like symptoms assessed by revised M-CHAT (M-CHAT-R) total score in multiple regression models.

RESULTS

Among the 2152 children included in the analysis (1099 boys [51.1%]), television and/or video viewing (yes or no) at 12 months of age was significantly associated with greater ASD-like symptoms at 2 years of age (change, 4.2%; 95% CI, 0.1%-8.3%) but not with ASD risk (risk prevalence rates, 8.3% vs 4.4%; adjusted odds ratio [AOR], 1.40; 95% CI, 0.86-2.29). Similarly, parent-child play daily compared with less than daily was significantly associated with fewer ASD-like symptoms at 2 years of age (change, -8.9%; 95% CI, -16.5% to -0.9%) but not with ASD risk (risk prevalence rates, 6.4% vs 14.0%; AOR, 0.58; 95% CI, 0.31-1.08). However, high screen viewing at 18 months of age was not significantly associated with ASD-like symptoms (change, 10.7%; 95% CI, -2.0% to 23.0%) or ASD risk by M-CHAT (AOR, 1.18; 95% CI, 0.56-2.49) at 2 years of age.

CONCLUSIONS AND RELEVANCE

This cohort study found greater screen exposure and less caregiver-child play early in life to be associated with later ASD-like symptoms. Further research is needed to evaluate experiential factors for potential risk or protective effects in ASD.

Screen Time and Children with Autism Spectrum Disorder

BACKGROUND

Research is increasingly raising concerns regarding the negative consequences of children's use of screens.

SUMMARY

This article reviews the literature on the benefits and risks of screen time with attention to explaining possible reasons that children with autism are more at risk for the negative effects of screen time. Based on the science of learning literature, a framework for choosing appropriate digital media for children with autism is described. The 3-component framework considers the characteristics of the child, the context in which digital media are used, and the content of the media. Key Message: Using the framework, the speech-language pathologist will be better able to select appropriate digital media content for children with autism that is engaging (while not being distracting), encourages the child to be actively involved with the media, is meaningful in the child's life, and incorporates social interactions with others.

Intensive early screen exposure as a causal factor for symptoms of autistic spectrum disorder: The case for «Virtual autism»

Intensive Early Screen Exposure (IESE) has been associated with detrimental outcomes on different variables including attention, language, emotion regulation and socialisation, some of which are central to the diagnosis of neurodevelopmental disorders, such as ADHD and learning disorders. Following Bradford-Hill's recommendations, we argue that there is growing clinical and empirical evidence supporting a causal relationship between intensive early screen exposure (more than 4 h a day) and subsequent symptoms of Autism Spectrum Disorders in some possibly vulnerable younger children (less than 6 years old). Clinicians should also be aware of the existence of cases of recovery or dramatic improvement after parents accept to stop screen exposure for a few months, associated with daily moments of dyadic interaction, since this intervention has repeatedly been found to be effective with no known side-effects.

Behavioral and electrophysiological evidence for parent training in young children with autism symptoms and excessive screen-time

Recent studies have shown the relationship between excessive screen time and autism symptoms. Unfortunately, there are no studies that evaluated the interventions for children with autism symptoms and excessive screen-time. This paper is a preliminary attempt to examine the effects of parent training on the duration of screen-time, repetitive behaviors and brain electrophysiological characteristics in young children with subthreshold autism symptoms and excessive screen time. Results showed that after the 2 months' parent-child interaction, children's screen-time and repetitive behaviors decreased and EEG ratio power in some channels changed. Our findings suggest that parent training have positive effects on young children with excessive screen-time and autism symptoms.

Screen Media and Autism Spectrum Disorder: A Systematic Literature Review

OBJECTIVE

Previous studies suggest that psychiatric disorders are associated with problematic use of screen media. This article systematically reviews the literature on the associations between screen media and autism spectrum disorder (ASD). The review uses the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

METHOD

Electronic databases were searched from inception to April 2018, using the term "ASD/autism" along with one of the following terms: "screen time"/"media"/"computer"/"phone"/"television"/"video game."

RESULTS

A total of 16 studies met the inclusion criteria. The studies support the view that children and adolescents with ASD are exposed to more screen time than their typically developing peers or other clinical groups and that the exposure starts at a younger age. The content and context of screen use (e.g., with parents vs alone) may affect the behaviors associated with media exposure. Correlates and long-term consequences of early screen exposure (before the age of 3 years) remain largely unexamined.

CONCLUSION

The current review provides important information about how ASD is associated with screen use and exposure. Future longitudinal research should examine the impact of early screen exposure on child development while accounting for potential moderating environmental factors (e.g., socioeconomic status, parent-child relationship). This will help determine whether-and if so, how much-exposure is detrimental and allow appropriate recommendations and interventions related to screen time among children with ASD.

Electronic Screen Media Use in Youth With Autism Spectrum Disorder

Electronic and social media play a prominent role in the lives of children and teenagers. Evidence suggests youth with autism spectrum disorder (ASD) use media differently than typically developing peers, and some of these differences place them at greater risk for negative health outcomes related to unhealthy and improper use of media. Such outcomes include physiologic, cognitive, social, emotional, and legal/safety problems. However, several technology-aided interventions have emerged to help youth with ASD across multiple domains. Parents of youth with ASD may benefit from several recommendations and resources from the American Academy of Pediatrics and the American Academy of Child and Adolescent Psychiatry.

Social experiential deprivation in autism spectrum disorders: A possible prognostic factor?

Autism spectrum disorders (ASD) are well known to be influenced by various environmental factors. Among these influencers, social experiential deprivation (SED) in infancy is one of them which is not well reported. We explored factors contributing to SED in 11 young children diagnosed to have ASD and compared them to 24 children without SED also having ASD. Intervention mainly addressing factors causing SED for 6 months demonstrated that children with SED had a better outcome at follow up. Could SED be a possible prognostic factor in children with ASD?