Background: Recent concerns about "virtual autism" necessitate investigation of relationships between screen exposure, parent-child interaction, and autism-like symptoms in young children. Methods: Case-control study of 240 children aged 1-4 years (120 cases with autism-like symptoms, 120 controls) examining screen time patterns, parent-child interaction, and developmental outcomes. Results: Case group showed significantly higher daily screen time (148.5 ± 67.3 vs. 92.4 ± 45.6 minutes, p<0.001) and lower parent-child interaction time (74.6 ± 38.2 vs. 128.4 ± 51.7 minutes, p<0.001). Logistic regression revealed increased risk with higher screen time (OR=1.02, 95% CI: 1.01-1.03) and lower parent-child interaction quality (OR=0.41, 95% CI: 0.29-0.57). Parent-child interaction quality significantly moderated screen time effects (interaction term OR=0.99, p=0.022). Conclusions: Findings support association between excessive screen exposure and autism-like symptoms, highlighting parent-child interaction's protective role. Results inform evidence-based guidelines for screen use in early childhood.
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by persistent deficits in social communication and interaction, as well as restricted, repetitive patterns of behavior, interests, or activities.[1] Globally, the prevalence of ASD was estimated at 61.9 per 10,000 in 2012.[2] In India, more than 2 million people may have ASD.[2] Recent years have seen growing concern among parents and healthcare professionals about the phenomenon of "virtual autism" - the development of autism-like symptoms in children due to excessive exposure to digital devices and screen time.[3]
The term "virtual autism" was coined by Romanian psychologist Marius Zamfir in 2018 to describe behavioral abnormalities observed in children aged 0-3 years resulting from more than 4 hours per day of exposure to virtual environments. Zamfir noted that the functional and developmental symptoms in these children resembled those of childhood autistic disorder as defined by DSM-4 and ICD-10.[4]
Subsequent studies have confirmed the presence of "autism-like symptoms" in toddlers with excessive screen exposure, even if the evidence is still too preliminary for virtual autism to be recognized as a formal diagnostic entity.[5] Documented symptoms include social withdrawal, communication issues, physical inactivity, attention problems, and developmental delays.[6] A case-control study in Bangkok found an association between early exposure, high frequency of TV viewing, and language delay in children aged 15-48 months.[7] Another study in Indonesia showed children spending over 3 hours per day viewing screens exhibited greater language delays, shorter attention spans, and hyperactivity compared to those with less than 3 hours of daily screen time.[8]
While the association between screen exposure and ASD symptoms is not yet conclusively established, there are plausible mechanisms by which excessive virtual environment consumption could impair young children's development. Extended screen time reduces opportunities for face-to-face interaction crucial for developing social skills.[6] Certain screen content may negatively impact children's emotional and behavioral regulation.[9] Studies also suggest screen use before bedtime disrupts sleep patterns[6], and that excessive screen time may contribute to a sedentary lifestyle, attention difficulties, and language delays.[6][8]
At the same time, the use of terms like "virtual autism" remains controversial. Critics argue that applying the label of autism to developmental issues stemming from screen overuse is misleading and may promote misconceptions about ASD.[5] There are also open questions around the ability of technologies like virtual reality to help transfer skills to real-world scenarios for children on the autism spectrum.[10] More research is needed to characterize developmental abnormalities related to screen overuse and to determine how they may compare to or differ from ASD.
Preventing "virtual autism" requires a multifaceted approach involving parents, educators, healthcare providers, and policymakers. Recommended strategies include:
This clinical study aims to advance the understanding of "virtual autism" by examining patterns and factors associated with screen-related developmental issues in children. Through systematic analysis, we hope to characterize this phenomenon, explore mechanisms, identify risk and protective factors, and inform evidence-based guidelines for prevention and management.
Aims and Objectives
The primary aim of this study was to investigate the relationship between screen time, parent-child interaction, and the development of "virtual autism" symptoms in children aged 1-4 years. The specific objectives were:
Study Design and Setting
This case-control study investigated the relationship between screen time, parent-child interaction, and autism-like symptoms in children aged 1-4 years. The study was conducted at pediatric clinics and early intervention centers in urban and suburban areas of a large metropolitan region.
Participants and Sampling
A convenience sampling method was used to recruit participants from three age groups: infants (1-12 months), toddlers (1-3 years), and preschoolers (3-4 years). The inclusion criteria for the case group were: (1) age between 1 and 4 years; (2) presence of autism-like symptoms as identified by a validated screening tool (e.g., Modified Checklist for Autism in Toddlers, Revised with Follow-Up [M-CHAT-R/F]); and (3) parental consent to participate. The control group included children within the same age range who did not exhibit autism-like symptoms according to the screening tool. Children with a confirmed diagnosis of autism spectrum disorder were excluded from both groups.
A total of 240 children (120 in each group) were recruited for the study, with equal representation from each age group (40 infants, 40 toddlers, and 40 preschoolers in each group).
Data Collection
Data were collected through parental interviews, questionnaires, and observational assessments. The interviews gathered information on the child's screen time habits (types of devices used, content consumed, duration of exposure), parent-child interaction patterns (frequency, duration, quality of interactions), and sociodemographic characteristics (age, sex, family structure, parental education and occupation, family history of autism spectrum disorder).
Questionnaires were administered to assess the children's social communication skills (Social Communication Questionnaire [SCQ]), emotional and behavioral functioning (Child Behavior Checklist [CBCL]), and sensory processing abilities (Short Sensory Profile [SSP]).
Observational assessments were conducted by trained research assistants during structured play sessions between the child and their parent(s). The assistants used a standardized coding scheme to evaluate the quality of parent-child interactions, including responsiveness, reciprocity, and emotional attunement.
Data Analysis
Descriptive statistics (means, standard deviations, frequencies) were used to summarize the participants' characteristics and the levels of screen time exposure and parent-child interaction in each group. Independent samples t-tests and chi-square tests were employed to compare these variables between the case and control groups.
Logistic regression analyses were conducted to examine the association between screen time, parent-child interaction, and the presence of autism-like symptoms, adjusting for potential confounders such as age, sex, and family history of autism spectrum disorder. Moderation analyses were performed to explore the potential moderating role of parent-child interaction in the relationship between screen time and autism-like symptoms.
All statistical analyses were carried out using SPSS version 26.0, with a significance level set at p < 0.05.
Ethical Considerations
The study protocol was approved by the Institutional Review Board of the affiliated university. Written informed consent was obtained from the parents of all participants. The children's identities were kept confidential, and their data were anonymized for analysis and reporting purposes. The study adhered to the principles of the Declaration of Helsinki and the ethical guidelines for human subjects research
The study included a total of 240 children aged 1-4 years, with 120 children in the case group (those exhibiting autism-like symptoms) and 120 children in the control group (those without autism-like symptoms). The sociodemographic characteristics of the participants are presented in Table 1. The age group distribution was equal in both the case and control groups, with 40 (33.3%) infants, 40 (33.3%) toddlers, and 40 (33.3%) preschoolers in each group (p = 0.999). There was no significant difference in the sex distribution between the two groups (p = 0.749). The majority of the children in both groups belonged to nuclear families (68.3% in the case group and 72.5% in the control group), and there was no significant difference in the family structure between the groups (p = 0.611). However, there was a significant difference in parental education levels, with a higher proportion of parents in the control group having tertiary education (46.7%) compared to the case group (30.8%) (p = 0.013). There was no significant difference in parental occupation between the groups (p = 0.379). Notably, a significantly higher proportion of children in the case group had a family history of autism spectrum disorder (15.8%) compared to the control group (1.7%) (p < 0.001).
Table 2 presents the screen time exposure and parent-child interaction levels in the case and control groups. Children in the case group had a significantly higher daily screen time duration (148.5 ± 67.3 minutes) compared to the control group (92.4 ± 45.6 minutes) (p < 0.001). The use of smartphones (67.5% vs. 50.8%, p = 0.009) and tablets (54.2% vs. 35.8%, p = 0.004) was significantly higher in the case group compared to the control group. The content consumed also differed significantly between the groups, with a higher proportion of children in the case group consuming entertainment content (55.8% vs. 40.8%, p = 0.020) and a lower proportion consuming educational content (28.3% vs. 43.3%, p = 0.015). The frequency and duration of parent-child interactions were significantly lower in the case group compared to the control group (p < 0.001 for all comparisons). The quality of parent-child interactions, as measured by responsiveness, reciprocity, and emotional attunement scores, was also significantly lower in the case group (p < 0.001 for all scores).
Table 3 compares the screen time exposure and parent-child interaction levels across different age groups. The daily screen time duration increased significantly with age, with preschoolers having the highest duration (141.2 ± 70.5 minutes) compared to toddlers (127.6 ± 64.2 minutes) and infants (92.5 ± 51.3 minutes) (p < 0.001). The frequency of parent-child interactions decreased significantly with age, with infants having the highest proportion of daily interactions (72.5%) compared to toddlers (51.3%) and preschoolers (27.5%) (p < 0.001). The duration and quality of parent-child interactions also decreased significantly with age (p < 0.001 for all comparisons).
Table 4 presents the questionnaire scores for the case and control groups. The case group had significantly higher scores on the Social Communication Questionnaire (SCQ) (14.2 ± 4.7 vs. 6.1 ± 2.9, p < 0.001) and the Child Behavior Checklist (CBCL) (61.5 ± 11.3 vs. 48.9 ± 10.2, p < 0.001), indicating greater social communication difficulties and behavioral problems. The case group also had significantly lower scores on the Short Sensory Profile (SSP) (142.6 ± 24.1 vs. 176.4 ± 19.6, p < 0.001), suggesting more sensory processing issues.
The logistic regression analysis of factors associated with autism-like symptoms (Table 5) revealed that higher screen time duration (OR = 1.02, 95% CI: 1.01-1.03, p < 0.001), lower parent-child interaction quality scores (OR = 0.41, 95% CI: 0.29-0.57, p < 0.001), being a preschooler compared to an infant (OR = 1.96, 95% CI: 1.05-3.67, p = 0.035), and having a family history of autism spectrum disorder (OR = 11.04, 95% CI: 2.50-48.79, p = 0.002) were significantly associated with an increased risk of autism-like symptoms.
The moderation analysis (Table 6) showed a significant interaction effect between screen time duration and parent-child interaction quality scores (OR = 0.99, 95% CI: 0.98-1.00, p = 0.022). This indicates that the relationship between screen time and autism-like symptoms is moderated by parent-child interaction quality, with higher interaction quality attenuating the adverse effects of screen time.
Table 1: Sociodemographic characteristics of the participants
Characteristic |
Case (n=120) |
Control (n=120) |
p-value |
Age group |
0.999 |
||
Infants (1-12 months) |
40 (33.3%) |
40 (33.3%) |
|
Toddlers (1-3 years) |
40 (33.3%) |
40 (33.3%) |
|
Preschoolers (3-4 years) |
40 (33.3%) |
40 (33.3%) |
|
Sex |
0.749 |
||
Male |
64 (53.3%) |
61 (50.8%) |
|
Female |
56 (46.7%) |
59 (49.2%) |
|
Family structure |
0.611 |
||
Nuclear |
82 (68.3%) |
87 (72.5%) |
|
Extended |
28 (23.3%) |
23 (19.2%) |
|
Single-parent |
10 (8.3%) |
10 (8.3%) |
|
Parental education |
0.013* |
||
Primary |
22 (18.3%) |
9 (7.5%) |
|
Secondary |
61 (50.8%) |
55 (45.8%) |
|
Tertiary |
37 (30.8%) |
56 (46.7%) |
|
Parental occupation |
0.379 |
||
Employed |
91 (75.8%) |
98 (81.7%) |
|
Unemployed |
14 (11.7%) |
8 (6.7%) |
|
Homemaker |
15 (12.5%) |
14 (11.7%) |
|
Family history of autism spectrum disorder |
<0.001* |
||
Yes |
19 (15.8%) |
2 (1.7%) |
|
No |
101 (84.2%) |
118 (98.3%) |
Table 2: Screen time exposure and parent-child interaction levels by group
Variable |
Case (n=120) |
Control (n=120) |
p-value |
Daily screen time duration (minutes) |
148.5 ± 67.3 |
92.4 ± 45.6 |
<0.001* |
Types of devices used |
|||
Television |
92 (76.7%) |
84 (70.0%) |
0.245 |
Smartphone |
81 (67.5%) |
61 (50.8%) |
0.009* |
Tablet |
65 (54.2%) |
43 (35.8%) |
0.004* |
Computer |
22 (18.3%) |
17 (14.2%) |
0.382 |
Content consumed |
|||
Educational |
34 (28.3%) |
52 (43.3%) |
0.015* |
Entertainment |
67 (55.8%) |
49 (40.8%) |
0.020* |
Mixed |
19 (15.8%) |
19 (15.8%) |
0.999 |
Frequency of parent-child interactions |
|||
Daily |
42 (35.0%) |
79 (65.8%) |
<0.001* |
Weekly |
56 (46.7%) |
32 (26.7%) |
0.001* |
Monthly |
22 (18.3%) |
9 (7.5%) |
0.013* |
Duration of parent-child interactions (minutes per day) |
74.6 ± 38.2 |
128.4 ± 51.7 |
<0.001* |
Quality of parent-child interactions |
|||
Responsiveness score |
2.8 ± 1.1 |
4.2 ± 0.9 |
<0.001* |
Reciprocity score |
2.5 ± 1.0 |
3.9 ± 1.0 |
<0.001* |
Emotional attunement score |
2.6 ± 1.2 |
4.1 ± 1.1 |
<0.001* |
Table 3: Comparison of screen time exposure and parent-child interaction levels between age groups
Variable |
Infants (n=80) |
Toddlers (n=80) |
Preschoolers (n=80) |
p-value |
Daily screen time duration (minutes) |
92.5 ± 51.3 |
127.6 ± 64.2 |
141.2 ± 70.5 |
<0.001* |
Frequency of parent-child interactions |
||||
Daily |
58 (72.5%) |
41 (51.3%) |
22 (27.5%) |
<0.001* |
Weekly |
18 (22.5%) |
32 (40.0%) |
38 (47.5%) |
0.002* |
Monthly |
4 (5.0%) |
7 (8.8%) |
20 (25.0%) |
<0.001* |
Duration of parent-child interactions (minutes per day) |
118.7 ± 50.4 |
99.6 ± 48.9 |
86.3 ± 52.1 |
<0.001* |
Quality of parent-child interactions |
||||
Responsiveness score |
4.0 ± 1.1 |
3.4 ± 1.2 |
3.0 ± 1.2 |
<0.001* |
Reciprocity score |
3.8 ± 1.1 |
3.1 ± 1.2 |
2.8 ± 1.2 |
<0.001* |
Emotional attunement score |
3.9 ± 1.2 |
3.3 ± 1.3 |
2.9 ± 1.3 |
<0.001* |
Table 4: Questionnaire scores by group
Questionnaire |
Case (n=120) |
Control (n=120) |
p-value |
Social Communication Questionnaire (SCQ) score |
14.2 ± 4.7 |
6.1 ± 2.9 |
<0.001* |
Child Behavior Checklist (CBCL) score |
61.5 ± 11.3 |
48.9 ± 10.2 |
<0.001* |
Short Sensory Profile (SSP) score |
142.6 ± 24.1 |
176.4 ± 19.6 |
<0.001* |
Table 5: Logistic regression analysis of factors associated with autism-like symptoms
Variable |
Odds Ratio (95% CI) |
p-value |
Screen time duration (minutes per day) |
1.02 (1.01-1.03) |
<0.001* |
Parent-child interaction quality scores |
0.41 (0.29-0.57) |
<0.001* |
Age group |
||
Infants (reference) |
1 |
|
Toddlers |
1.42 (0.75-2.69) |
0.282 |
Preschoolers |
1.96 (1.05-3.67) |
0.035* |
Sex (male vs. female) |
1.11 (0.68-1.82) |
0.678 |
Family history of autism spectrum disorder (yes vs. no) |
11.04 (2.50-48.79) |
0.002* |
Table 6: Moderation analysis of parent-child interaction on the relationship between screen time and autism-like symptoms
Variable |
Odds Ratio (95% CI) |
p-value |
Screen time duration (minutes per day) |
1.03 (1.02-1.04) |
<0.001* |
Parent-child interaction quality scores |
0.33 (0.22-0.49) |
<0.001* |
Interaction term (screen time × parent-child interaction quality) |
0.99 (0.98-1.00) |
0.022* |
Age group |
||
Infants (reference) |
1 |
|
Toddlers |
1.39 (0.73-2.66) |
0.315 |
Preschoolers |
1.88 (0.99-3.55) |
0.052 |
Sex (male vs. female) |
1.13 (0.69-1.87) |
0.624 |
Family history of autism spectrum disorder (yes vs. no) |
10.57 (2.36-47.34) |
0.002* |
Note: Data are presented as mean ± standard deviation or n (%), unless otherwise specified. CI: Confidence interval. *p < 0.05.
This study provides comprehensive evidence for the relationship between screen time exposure, parent-child interaction, and autism-like symptoms in young children. Our findings revealed significantly higher daily screen time in children with autism-like symptoms (148.5 ± 67.3 minutes) compared to controls (92.4 ± 45.6 minutes, p<0.001). This aligns with Heffler et al.'s observational study of 2,152 toddlers that demonstrated excessive screen time (>4 hours/day) was associated with a 2.7-fold increased risk of autism-like behaviors in children aged 12-36 months (95% CI: 1.9-3.8, p<0.001) [11].
Screen Time and Developmental Impact
The observed association between increased screen time and autism-like symptoms supports previous research by Jones et al., who conducted a prospective cohort study of 3,421 children aged 2-5 years. They found that children with >2 hours daily screen exposure showed 2.3 times higher risk of communication delays (95% CI: 1.8-2.9, p<0.001) [12]. Our age-stratified analysis revealed increasing screen time with age (preschoolers: 141.2 ± 70.5 minutes vs. infants: 92.5 ± 51.3 minutes, p<0.001), consistent with Marsh et al.'s longitudinal study of 1,842 children showing a 23% annual increase in screen time during early childhood [13]. This progressive increase in screen exposure parallels decreased parent-child interaction time, potentially creating a compounded risk for developmental delays.
Device Types and Content Considerations
Our observation of higher smartphone (67.5% vs. 50.8%, p=0.009) and tablet (54.2% vs. 35.8%, p=0.004) use in the case group corroborates findings from Chen et al.'s multicenter study of 4,256 toddlers, which reported that mobile device use before age 3 was associated with a 1.8-fold increase in language delays compared to traditional television viewing (adjusted OR=1.82, 95% CI: 1.48-2.24, p<0.001) [15]. The significantly lower proportion of educational content consumption in the case group (28.3% vs. 43.3%, p=0.015) suggests that content type may play a crucial role in developmental outcomes.
Parent-Child Interaction as a Moderating Factor
A crucial finding was the moderating effect of parent-child interaction quality on screen time's impact (interaction term OR=0.99, 95% CI: 0.98-1.00, p=0.022). This aligns with Thompson et al.'s prospective study of 2,986 parent-child dyads, demonstrating that high-quality parent-child interaction (>2 hours/day) reduced the risk of developmental delays associated with screen exposure by 45% (adjusted OR=0.55, 95% CI: 0.42-0.72) [14]. The significantly lower interaction quality scores in our case group across all dimensions (responsiveness, reciprocity, and emotional attunement, all p<0.001) suggest that the quality of interaction may be as important as quantity in mediating screen time effects.
Sociodemographic Considerations
The significant association between parental education levels and autism-like symptoms (p=0.013) reflects findings from Rodriguez et al.'s large-scale study of 5,724 families, which found that children of parents with primary education had 2.1 times higher risk of developmental delays compared to those with tertiary education (95% CI: 1.6-2.7) [16]. This highlights the potential role of socioeconomic factors in mediating the relationship between screen exposure and developmental outcomes.
Clinical Implications
Our findings of increased SCQ scores (14.2 ± 4.7 vs. 6.1 ± 2.9, p<0.001) and CBCL scores (61.5 ± 11.3 vs. 48.9 ± 10.2, p<0.001) in the case group suggest that screen-related developmental issues may manifest across multiple domains of functioning. Williams et al.'s intervention study demonstrated that structured screen time with parental co-viewing reduced behavioral problems by 35% compared to unstructured viewing (p<0.001) [17], suggesting potential strategies for harm reduction.
Study Limitations and Future Directions
Our study's cross-sectional design limits causal inference. Longitudinal studies are needed to establish temporal relationships between screen exposure and developmental outcomes. Additionally, future research should investigate the potential protective effects of structured screen time with parental co-viewing and explore the role of content type in developmental outcomes.
This comprehensive investigation demonstrates a significant and complex relationship between screen time exposure and autism-like symptoms in young children, with parent-child interaction quality serving as a crucial moderating factor. The study reveals that increased screen time exposure, particularly in the absence of quality parent-child interactions, is associated with higher risk of developmental concerns. The findings emphasize the critical importance of maintaining appropriate screen time limits while fostering meaningful parent-child interactions during early developmental periods. The observed age-dependent increases in screen time, coupled with corresponding decreases in parent-child interaction, suggest a need for age-specific interventions and guidelines. The protective effect of higher parental education levels and structured educational content indicates potential pathways for intervention and risk modification. These results provide a strong foundation for developing evidence-based guidelines for screen use in early childhood and highlight the necessity of considering both quantitative and qualitative aspects of media exposure and parent-child interaction in developmental assessment and intervention strategies. Future longitudinal research should focus on establishing causal relationships and evaluating the effectiveness of targeted interventions in mitigating screen-related developmental risks.