Presence Of Autistic Traits Among Individuals With Social Anxiety Disorder

Autism spectrum disorder (ASD) and social anxiety disorder (SAD) share several overlapping traits, particularly in the realm of social interaction and communication.

Both conditions can manifest as difficulties in social situations, avoidance of eye contact, and challenges in interpreting social cues.

This overlap may stem from shared neurobiological underpinnings or similar cognitive processes. For instance, individuals with ASD often struggle with social communication, which can lead to anxiety in social situations.

Conversely, the intense fear of judgment in SAD can result in behaviors that resemble autistic traits.

Understanding this overlap is crucial for accurate diagnosis and effective treatment, as the presence of one condition may mask or exacerbate the other.

A socially anxious woman looking out of the blinds in her house with concern.
Carpita, B., Nardi, B., Bonelli, C., Massimetti, E., Amatori, G., Cremone, I. M., Pini, S., & Dell’Osso, L. (2024). Presence and correlates of autistic traits among patients with social anxiety disorder. Frontiers in Psychiatry14, 1320558. https://doi.org/10.3389/fpsyt.2023.1320558

Key Points

  • Social Anxiety Disorder (SAD) and Autism Spectrum Disorder (ASD) share similar behavioral presentations, making differentiation challenging.
  • A significant proportion of individuals with ASD meet criteria for SAD, and vice versa.
  • The study found higher levels of autistic traits in adults with SAD compared to healthy controls.
  • Strong positive correlations were observed between social anxiety symptoms and autistic traits.
  • Certain autism spectrum dimensions, such as childhood/adolescence experiences, non-verbal communication, empathy, and restricted interests/rumination, were significant predictors of higher social anxiety symptoms.
  • The research supports the concept of a neurodevelopmental basis for various psychiatric conditions, including SAD.
  • While informative, the study has limitations such as its cross-sectional design and relatively small sample size.
  • The findings have implications for understanding the relationship between SAD and ASD, potentially leading to improved diagnostic and treatment approaches.

Rationale

Social Anxiety Disorder (SAD) and Autism Spectrum Disorder (ASD) have been recognized as distinct conditions with overlapping behavioral presentations, particularly in social interaction and communication domains (Spain et al., 2018).

Recent research has highlighted a significant co-occurrence of these disorders, with individuals diagnosed with ASD often meeting criteria for SAD and vice versa (White et al., 2009; Simonoff et al., 2008).

This overlap has led to a growing interest in understanding the relationship between these conditions, particularly in adult populations where ASD may be underrecognized (Dell’Osso et al., 2016).

The concept of a neurodevelopmental continuum has been proposed, suggesting that various psychiatric illnesses, including SAD, might arise from neurodevelopmental alterations similar to those associated with ASD (Dell’Osso et al., 2019).

This perspective aligns with the dimensional approach to psychopathology, which considers subclinical manifestations and traits alongside full-blown disorders (Frank et al., 1998).

Given the potential impact of unrecognized autistic traits on the course and treatment of SAD, there is a need to investigate the prevalence and correlates of these traits in adults diagnosed with SAD.

This study aims to fill this gap by examining autistic traits in an adult SAD population using dimensional assessment tools, potentially informing more tailored diagnostic and therapeutic approaches.

Method

The study employed a cross-sectional design, comparing a group of adults diagnosed with SAD to healthy controls (HC).

Participants were assessed using structured clinical interviews and self-report questionnaires designed to measure both typical symptoms and broader spectrum manifestations of SAD and ASD.

Procedure

Participants were recruited from the Psychiatric Clinic of the University of Pisa. The SAD group consisted of outpatients, while the HC group was composed of healthcare and paramedical personnel.

All participants underwent a clinical evaluation using the Structured Clinical Interview for DSM-5, Research Version (SCID-5-RV) to confirm diagnoses or lack thereof.

They then completed two self-report questionnaires: the Social Anxiety Spectrum – Short Version (SHY-SV) and the Adult Autism Subthreshold Spectrum (AdAS Spectrum).

Sample

The total sample consisted of 112 subjects, evenly divided between the SAD group (n=56) and the HC group (n=56).

The SAD group had a mean age of 39.57 years (±12.56) and included 29 males (51.8%) and 27 females (48.2%).

The HC group had a mean age of 38.52 years (±13.05) and included 25 males (44.6%) and 31 females (55.4%).

Participants were between 18 and 70 years old.

Measures

  • Structured Clinical Interview for DSM-5, Research Version (SCID-5-RV): Used to confirm diagnoses and exclude certain conditions.
  • Social Anxiety Spectrum – Short Version (SHY-SV): A 139-item questionnaire assessing various domains of social anxiety symptoms.
  • Adult Autism Subthreshold Spectrum (AdAS Spectrum): A 160-item questionnaire measuring a range of autism spectrum manifestations in adults.

Statistical measures

The study used students’ t-tests and chi-square tests to compare socio-demographic variables and questionnaire scores between groups.

Pearson’s correlation coefficient was used to evaluate relationships between SHY-SV and AdAS Spectrum scores.

Linear regression analyses were performed to identify which AdAS Spectrum domains predicted SHY-SV scores.

Results

Hypothesis 1: Adults with SAD will show higher levels of autistic traits compared to healthy controls.

Result: Confirmed. The SAD group scored significantly higher on all AdAS Spectrum domains and total score compared to the HC group.


Hypothesis 2: There will be significant correlations between social anxiety symptoms and autistic traits.

Result: Confirmed. Strong positive correlations were found between SHY-SV and AdAS Spectrum scores across all domains.


Hypothesis 3: Certain autism spectrum dimensions will predict higher social anxiety symptoms.

Result: Confirmed. AdAS Spectrum total score and specific domains (Childhood/Adolescence, Non-Verbal Communication, Empathy, and Restricted Interests and Rumination) were significant predictors of higher SHY-SV scores.

Additional finding: No significant gender differences were found in AdAS Spectrum scores within the SAD group.

Insight

This study provides compelling evidence for the significant presence of autistic traits in adults with SAD, extending previous research that primarily focused on children and adolescents.

The strong correlations between social anxiety symptoms and autistic traits across various domains suggest a deeper interconnection between these conditions than previously recognized.

The finding that specific autism spectrum dimensions predict higher social anxiety symptoms is particularly informative.

It highlights the potential role of early developmental experiences, non-verbal communication difficulties, empathy challenges, and tendencies towards restricted interests and rumination in the manifestation of social anxiety.

This insight could lead to more nuanced approaches in both diagnosis and treatment of SAD, considering the potential influence of underlying autistic traits.

The lack of gender differences in autistic traits within the SAD group is noteworthy, as it suggests that the relationship between SAD and autistic traits may be consistent across genders in adulthood.

This finding could have implications for how we understand and approach gender differences in both SAD and ASD.

These results extend previous research by providing a more comprehensive picture of the SAD-ASD relationship in adults, using dimensional measures that capture a broader range of symptoms and traits.

The study supports the concept of a neurodevelopmental continuum, suggesting that SAD might be better understood as part of a broader spectrum that includes autistic traits.

Future research could explore the causal relationships between autistic traits and social anxiety symptoms, perhaps through longitudinal studies.

Additionally, investigating how these findings might inform treatment approaches for SAD, potentially incorporating strategies that address autistic traits, could be a valuable next step in the field.

Strengths:

The study had several methodological strengths, including:

  • Use of validated, dimensional measures (SHY-SV and AdAS Spectrum) that capture a broad range of symptoms and traits beyond diagnostic criteria.
  • Inclusion of a matched healthy control group for comparison.
  • Confirmation of diagnoses using structured clinical interviews (SCID-5-RV).
  • Consideration of gender differences within the SAD group.
  • Comprehensive statistical analysis, including correlational and predictive analyses.

Limitations

The study has several limitations:

  • Cross-sectional design: This prevents drawing conclusions about causal relationships or temporal dynamics between SAD and autistic traits.
  • Relatively small sample size: This may limit the generalizability of the findings and the power to detect smaller effects.
  • Geographical restriction: Participants were recruited from a single clinic in Italy, which may limit the applicability of findings to other cultural contexts.
  • Reliance on self-report measures: While validated, these may be subject to reporting biases.
  • Lack of assessment of other comorbidities: The study focused specifically on SAD and autistic traits, potentially overlooking the influence of other psychiatric conditions.

These limitations suggest that while the findings are valuable, they should be interpreted with caution and further replicated in larger, more diverse samples using multiple assessment methods.

Implications

The results of this study have significant implications for both clinical practice and our understanding of the relationship between SAD and ASD:

Diagnostic considerations: The high prevalence of autistic traits in adults with SAD suggests that clinicians should consider screening for these traits when assessing patients with social anxiety. This could lead to more accurate diagnoses and potentially uncover previously unrecognized autistic spectrum conditions in adults.

Treatment approaches: The strong relationship between autistic traits and social anxiety symptoms implies that treatment for SAD might benefit from incorporating strategies that address autistic-like features, such as difficulties with non-verbal communication or tendencies towards restricted interests and rumination.

Dimensional understanding: The findings support a more dimensional view of both SAD and ASD, suggesting that traits associated with these conditions exist on a continuum in the general population. This perspective could influence how we conceptualize and research these disorders in the future.

Neurodevelopmental basis: The results lend support to the hypothesis that SAD might have a neurodevelopmental component, similar to ASD. This could shift our understanding of the etiology of SAD and potentially influence prevention and early intervention strategies.

Gender considerations: The lack of significant gender differences in autistic traits among SAD patients challenges some traditional views about gender-specific presentations of these conditions and suggests a need for gender-sensitive approaches that nonetheless recognize potential similarities.

Comorbidity awareness: The study highlights the importance of considering the co-occurrence of SAD and autistic traits, which could impact both the presentation and management of these.

Research directions: The findings open up new avenues for research, including investigations into shared neurobiological substrates between SAD and ASD, and studies on how autistic traits might influence the course and treatment outcomes of SAD.

These implications underscore the importance of a more nuanced, spectrum-based approach to understanding and treating SAD, potentially leading to more personalized and effective interventions.

References

Primary reference

Carpita, B., Nardi, B., Bonelli, C., Massimetti, E., Amatori, G., Cremone, I. M., Pini, S., & Dell’Osso, L. (2024). Presence and correlates of autistic traits among patients with social anxiety disorder. Frontiers in Psychiatry14, 1320558. https://doi.org/10.3389/fpsyt.2023.1320558

Other references

Dell’Osso, L., Dalle Luche, R., & Maj, M. (2016). Adult autism spectrum as a transnosographic dimension. CNS spectrums21(2), 131-133.

Dell’Osso, L., Lorenzi, P., & Carpita, B. (2019). The neurodevelopmental continuum towards a neurodevelopmental gradient hypothesis. Journal of Psychopathology25(4), 179-182.

Frank, E., Cassano, G. B., Shear, M. K., Rotondo, A., Dell’Osso, L., Mauri, M., … & Grochocinski, V. (1998). The spectrum model: a more coherent approach to the complexity of psychiatric symptomatology. CNS spectrums3(4), 23-34.

Simonoff, E., Pickles, A., Charman, T., Chandler, S., Loucas, T., & Baird, G. (2008). Psychiatric disorders in children with autism spectrum disorders: prevalence, comorbidity, and associated factors in a population-derived sample. Journal of the American Academy of Child & Adolescent Psychiatry47(8), 921-929. https://doi.org/10.1097/CHI.0b013e318179964f

Spain, D., Sin, J., Linder, K. B., McMahon, J., & Happé, F. (2018). Social anxiety in autism spectrum disorder: A systematic review. Research in autism spectrum disorders52, 51-68. https://doi.org/10.1016/j.rasd.2018.04.007

White, S. W., Oswald, D., Ollendick, T., & Scahill, L. (2009). Anxiety in children and adolescents with autism spectrum disorders. Clinical psychology review29(3), 216-229. https://doi.org/10.1016/j.cpr.2009.01.003

Keep Learning

Socratic questions for a college class to discuss this paper:

  • How might the overlap between SAD and ASD traits influence our understanding of the etiology of these disorders?
  • What are the potential implications of these findings for the current diagnostic criteria of SAD and ASD?
  • How could the presence of autistic traits in individuals with SAD impact treatment approaches? What modifications to existing therapies might be beneficial?
  • Given the dimensional nature of both SAD and ASD traits suggested by this study, how might this change our approach to research and clinical practice in these areas?
  • What ethical considerations arise when considering screening for autistic traits in individuals presenting with social anxiety?
  • How might the lack of gender differences in autistic traits among SAD patients challenge or reinforce current theories about gender differences in ASD?
  • In what ways could early identification of autistic traits in individuals with social anxiety symptoms inform prevention or early intervention strategies?
  • How might the concept of a neurodevelopmental continuum change our understanding of other psychiatric disorders beyond SAD and ASD?
  • What are the potential societal implications of recognizing a broader spectrum of autistic traits in individuals who don’t meet full diagnostic criteria for ASD?
  • How could the findings of this study influence public health policies related to mental health screening and intervention programs?
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Saul McLeod, PhD

BSc (Hons) Psychology, MRes, PhD, University of Manchester

Editor-in-Chief for Simply Psychology

Saul McLeod, PhD., is a qualified psychology teacher with over 18 years of experience in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology.


Olivia Guy-Evans, MSc

Associate Editor for Simply Psychology

BSc (Hons) Psychology, MSc Psychology of Education

Olivia Guy-Evans is a writer and associate editor for Simply Psychology. She has previously worked in healthcare and educational sectors.

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