Psychosocial Treatments Targeting Anxiety and Depression in Adolescents and Adults on the Autism Spectrum: Review of the Latest Research and Recommended Future Directions.

PURPOSE OF REVIEW: This synthesis of treatment research related to anxiety and depression in adolescents and adults with autism spectrum disorder (ASD) focuses on the scientific support for various forms of psychosocial interventions, useful adaptations to standard interventions, and engagement of candidate therapeutic mechanisms. RECENT FINDINGS: There is considerable evidence for the efficacy of cognitive-behavioral therapy (CBT) to treat co-occurring problems with anxiety, but there has been relatively little research on treatment of co-occurring depression. Multiple mechanisms of treatment effect have been proposed, but there has been little demonstration of target engagement via experimental therapeutics. Comorbidity between ASD and anxiety and/or mood problems is common. Although there is evidence for the use of CBT for anxiety, little work has addressed how to effectively treat depression. There is emerging support for alternative treatment approaches, such as mindfulness-based interventions. We encourage rigorous, collaborative approaches to identify and manipulate putative mechanisms of change.

"I Don't Care if it Would Kill the Mood. I'm Going to Use My Words": Perceptions and Use of Explicit Verbal Sexual Consent in Neurodiverse Undergraduate Students.

Adults entering college, especially autistic individuals, may have a higher likelihood of unwanted or distressing sexual experiences. Additionally, autistic adults appear to endorse dissatisfying sexual education experiences and difficulties with consent cues. The current mixed-methods study examined the types of consent cues college students rely on and potential barriers to seeking sexual consent. We combined data from two studies of undergraduate students: 1) an in-person cross-sectional study exploring conceptualizations and interpretations of consent in autistic and non-autistic young adults (n = 30), and 2) an online, short-term longitudinal study examining predictors of mood concerns in neurodiverse students transitioning into their first semester at 4 northeastern United States university systems in Fall 2022 and 2023 (n = 230). In-person participants completed a semi-structured interview asking about consent expression and interpretation. Participants from both studies completed self-report surveys measuring autistic traits, attitudes and perceptions toward sexual consent, and sexual education history. Qualitative analysis suggested students preferred to rely on explicit verbal consent, but felt they were unusual for doing so. In contrast, quantitatively, students across both studies expressed comfort with explicit verbal consent, to a high and similar degree. Further research may benefit from investigating differences between young adults' perceived and actual sexual consent preferences of peers, with attention to neurodivergent individuals.

Satisfaction with social connectedness is associated with depression and anxiety symptoms in neurodiverse first-semester college students.

LAY ABSTRACT: How satisfied people feel with their social connections and support is related to mental health outcomes for many different types of people. People may feel less socially connected at some times in their life-like when they start college. Feeling disconnected from others could lead to depression or anxiety. The transition to college may be especially difficult for autistic students as they are more likely to have difficulties adjusting socially. In our study, we asked 263 college students to answer questions about their emotions and social satisfaction twice per week during their first semester of college. We found that students who reported being less satisfied with their social connectedness (either at the beginning or throughout the semester) tended to express more symptoms of depression and anxiety. This relationship between social satisfaction and anxiety was even stronger for people who had a strong desire for social interaction (i.e. were more socially motivated). Students with more autistic traits tended to report more mood concerns, and they also reported being less satisfied with friendships at the beginning of the semester. This information may help to support ongoing efforts to better address mental health in autistic college students by encouraging efforts to improve social satisfaction.

Factors influencing scores on the social responsiveness scale.

BACKGROUND: The Social Responsiveness Scale (SRS) is a parent-completed screening questionnaire often used to measure autism spectrum disorders (ASD) severity. Although child characteristics are known to influence scores from other ASD-symptom measures, as well as parent-questionnaires more broadly, there has been limited consideration of how non-ASD-specific factors may affect interpretation of SRS scores. Previous studies have explored effects of behavior problems on SRS specificity, but have not addressed influences on the use of the SRS as a quantitative measure of ASD-symptoms. METHOD: Raw scores (SRS-Raw) from parent-completed SRS were analyzed for 2,368 probands with ASD and 1,913 unaffected siblings. Regression analyses were used to assess associations between SRS scores and demographic, language, cognitive, and behavior measures. RESULTS: For probands, higher SRS-Raw were associated with greater non-ASD behavior problems, higher age, and more impaired language and cognitive skills, as well as scores from other parent report measures of social development and ASD-symptoms. For unaffected siblings, having more behavior problems predicted higher SRS-Raw; male gender, younger age, and poorer adaptive social and expressive communication skills also showed small, but significant effects. CONCLUSIONS: When using the SRS as a quantitative phenotype measure, the influence of behavior problems, age, and expressive language or cognitive level on scores must be considered. If effects of non-ASD-specific factors are not addressed, SRS scores are more appropriately interpreted as indicating general levels of impairment, than as severity of ASD-specific symptoms or social impairment. Additional research is needed to consider how these factors influence the SRS' sensitivity and specificity in large, clinical samples including individuals with disorders other than ASD.

Measurement Issues: Screening and diagnostic instruments for autism spectrum disorders - lessons from research and practise.

BACKGROUND AND SCOPE: Significant progress has been made over the past two decades in the development of screening and diagnostic instruments for autism spectrum disorders (ASDs). This article reviews this progress, including recent innovations, focussing on those instruments for which the strongest research data on validity exists, and then addresses issues arising from their use in clinical settings. FINDINGS: Research studies have evaluated the ability of screens to prospectively identify cases of ASD in population-based and clinically referred samples, as well as the accuracy of diagnostic instruments to map onto 'gold standard' clinical best estimate diagnosis. However, extension of the findings to clinical services must be done with caution, with a full understanding that instrument properties are sample-specific. Furthermore, we are limited by the lack of a true test for ASD which remains a behaviourally defined disorder. In addition, screening and diagnostic instruments help clinicians least in the cases where they are most in want of direction, as their accuracy will always be lower for marginal cases. CONCLUSION: Instruments help clinicians to collect detailed, structured information and increase accuracy and reliability of referral for in-depth assessment and recommendations for support, but further research is needed to refine their effective use in clinical settings.

Transitioning to college during COVID-19: A brief report on incoming students' self-reports of mental health from 2020 to 2022.

Objective: Depression and anxiety have been identified as growing concerns for many populations in the United States, including young adults. We investigated how internalizing symptoms may have changed throughout the COVID-19 pandemic among students transitioning to college.Participants: Participants were incoming undergraduates in Fall 2020, 2021, and 2022 at Northeastern Universities (N = 263).Methods: Participants completed self-reports of mood, repetitive thinking, and social satisfaction within two weeks of beginning their first college semester.Results: Depression and anxiety symptoms appear to differ by year, such that both have increased over time. These results seem to be co-occurring with an increase in repetitive negative thinking - a known predictor of depression and anxiety.Conclusions: These preliminary results suggest that mental health concerns in young adults may be worsening despite the resumption of in-person activities post-initial pandemic onset. This highlights the need to monitor and intervene on mental health in students transitioning to college.

Repetitive Negative Thinking As a Transdiagnostic Prospective Predictor of Depression and Anxiety Symptoms in Neurodiverse First-Semester College Students.

Background: Improving the understanding and treatment of mental health concerns, including depression and anxiety, are significant priorities for autistic adults. While several theories have been proposed to explain the high prevalence of internalizing symptoms in autistic populations, little longitudinal research has been done to investigate potential causal mechanisms. Additional research is needed to explore how proposed contributors to depression from general population research predict and/or moderate the development of internalizing symptoms in autistic individuals. In this study, we investigated the relation of one established risk factor, repetitive negative thinking (RNT), to internalizing symptoms over the course of college students' first semester, additionally examining whether this association is moderated by a measure of autistic traits. Methods: Students were recruited from 4 northeastern U.S. universities: 144 participating students included 97 nonautistic students and 47 participants who either reported a formal autism diagnosis (n = 15) or endorsed a history of self and/or others thinking that they may be autistic (n = 32). Participants completed a baseline survey battery within their first 2 weeks of starting college, a brief biweekly survey throughout their first semester (up to 24 times across 12 weeks), and an endpoint packet. Results: Elevated trait-like RNT at baseline was prospectively associated with biweekly ratings of depression and anxiety symptoms across the semester. In addition, greater RNT was synchronously related to elevated sadness, anhedonia, and anxiety throughout the semester. Contrary to hypotheses, a shorter term predictive relationship between RNT at one timepoint and mood symptoms at the next was largely unsupported. While these patterns were observed across neurotypes, students with higher self-reported autistic traits were more likely to experience RNT, as well as depressive and anxiety symptoms. Conclusions: These preliminary findings highlight RNT as a specific mechanism that may be a useful prevention and/or intervention target toward reducing the elevated depression and anxiety rates in the autistic community.

Why was this study done?: Many autistic people have depression and anxiety. However, we know very little about why autistic people are more likely to have these mental health concerns than people who are not autistic. We also do not know what leads to these symptoms over time. One theory is that repetitive negative thinking (RNT; or thinking repeatedly about problems and worries) might cause depression and anxiety. Autistic people might do more RNT than nonautistic people. What was the purpose of this study?: In this study, we wanted to see how RNT might relate to depression and anxiety over the first semester of college. We looked at how this might be related to autistic traits. What did the researchers do?: The researchers gave surveys to 144 students about their experiences with depression, anxiety, and RNT. The participants answered these surveys at the beginning and end of their first semester at their university. They also completed a brief survey 24 times (twice per week for 12 weeks) during the semester. What were the results of the study?: We found that overall RNT levels at the beginning of the semester were related to sadness, anhedonia (lack of pleasure), and anxiety later. In-the-moment RNT reported on the twice-weekly survey was also related to sadness, anhedonia, and anxiety. However, RNT on biweekly surveys did not seem to predict mood symptoms a few days later. Students with higher levels of autistic traits tended to report more depression and anxiety, as well as more RNT. What do these findings add to what was already known?: This study helps us to understand that RNT might be related to depression and anxiety, regardless of whether or not someone is autistic. This might mean that reducing RNT could help prevent or treat depression and anxiety, especially in autistic adults. What are potential weaknesses in the study?: Our study had a low number of participants with formal autism diagnoses (15 people), so it might not represent the broader population of autistic adults with formal diagnoses as well as we would like. Nevertheless, we had a larger group with self-reported or suspected autism (32 people). How will these findings help autistic adults now or in the future?: These findings help us to better understand risk factors for depression and anxiety in autistic adults. Since RNT was related to depression and anxiety in the same way regardless of levels of autistic traits in our study, we hope that clinicians will feel more comfortable providing therapy to people with mood disorders, regardless of whether they are autistic and/or have high autistic traits. This could be a small step toward increasing equity and accessibility of mental health services for autistic adults.

Current and lifetime somatic symptom burden among transition-aged autistic young adults.

Somatic symptoms are the most common cause of outpatient medical visits in the general population, yet their presence and severity in individuals on the autism spectrum has rarely been studied. We sought to assess the prevalence, impact, and clinical correlates of 14 commonly reported somatic symptoms in a sample of 290 transition-aged autistic young adults (mean [SD] age: 23.10 [2.38] years, range 18-26; 76.7% diagnosed with autism before age 18) recruited from the Simons Foundation SPARK participant pool. A modified version of the Patient Health Questionnaire-15 was used to assess somatic symptom prevalence/impact, along with measures of depression, anxiety, autistic traits, and quality of life. Somatic symptom burden was much higher in autistic young adults than previously reported in the general population. The most commonly reported current symptoms were fatigue (72.8%), sleep problems (69.0%), and menstrual problems (61.4% of females). Moderate or severe symptom levels were reported by 53.9% of females and 18.75% of males in our cohort, with the odds of females endorsing any given symptom being 2-4 times greater than males. Both individual symptoms and total symptom burden were related to higher levels of depression, anxiety, and autistic traits, along with lower quality of life. Despite little research on this topic previously, somatic symptoms are highly prevalent in autistic young adults, particularly women. Future research is needed to investigate links between somatic symptoms, medical and psychiatric morbidity, and health care utilization in the autistic population. LAY SUMMARY: Somatic symptoms (i.e., physical symptoms such as such as pain, weakness, stomachache, or shortness of breath) are highly prevalent in the general population and account for a large proportion of health care costs. However, few studies have investigated how often these symptoms are reported by autistic adults or their associations with other clinical and demographic variables. Based on self-report data from 290 young autistic adults, we found very high rates of bothersome somatic symptoms in this population, with females endorsing all symptoms at substantially higher rates than males. Somatic symptoms were also associated with worse mental health and quality of life, suggesting that they represent an overlooked contributor to poor health outcomes in the autistic adult population.

Neuroticism Drives Associations Between Repetitive Behaviors and Depression in Autistic Adults.

Depression is more prevalent among autistic adults than neurotypical adults, yet risk factors are incompletely understood in this population. Some research groups have focused on relationships between negative repetitive thinking and depression in the autistic population, which may explain elevated prevalence rates in line with general population findings on rumination and internalizing disorders. Little is known about associations between depression and more prototypical repetitive cognitions and/or behaviors characteristic of autism (i.e., insistence on sameness [IS] and repetitive sensorimotor [RSM] behaviors). Therefore, the present study aimed to examine associations between IS, RSM behaviors, and depressive symptoms in 762 autistic adults, and whether observed effects are confounded by additional factors (e.g., demographic factors, trait neuroticism). To test if greater IS scores were associated with greater depressive symptoms on the BDI-II, a Bayesian linear regression was conducted with BDI-II scores (dependent variable) regressed on age, gender, educational level, RSM scores, and IS scores (independent variables). To test the effects of neuroticism on observed relationships, a second regression was conducted that included all predictors from the baseline model and neuroticism. Standardized regression coefficients were tested against an interval null hypothesis of [-0.1, 0.1] to assess for practical significance. Results indicated that IS exhibited a moderate positive relationship with depressive symptoms, while RSM behaviors provided only a slight increase in predictive ability. However in the second model, neuroticism exhibited a strong positive relationship with depressive symptoms, completely attenuating the effect of IS. Associations between RSM behaviors and depressive symptoms did not meet our criteria for practical significance, particularly when neuroticism was added to the model. Neither RSM nor IS moderated the effect of neuroticism on depression. The findings from this study add to the literature on risk factors in the pathway to depression in autism, and suggest opportunities for clinical translation to screening and intervention efforts. Screening for IS in autistic individuals is a common diagnostic practice in clinical and research settings that may be leveraged to also identify those at higher risk for depression, and increasing flexibility in daily life may promote emotional regulation and distress tolerance.

Measuring Depression in Autistic Adults: Psychometric Validation of the Beck Depression Inventory-II.

Depressive disorders are common in autistic adults, but few studies have examined the extent to which common depression questionnaires are psychometrically appropriate for use in this population. Using item response theory, this study examined the psychometric properties of the Beck Depression Inventory-II (BDI-II) in a sample of 947 autistic adults. BDI-II latent trait scores exhibited strong reliability, construct validity, and moderate ability to discriminate between depressed and nondepressed adults on the autism spectrum (area under the receiver operating characteristic curve = 0.796 [0.763, 0.826], sensitivity = 0.820 [0.785, 0.852], specificity = 0.653 [0.601, 0.699]). These results collectively indicate that the BDI-II is a valid measure of depressive symptoms in autistic adults, appropriate for quantifying depression severity in research studies or screening for depressive disorders in clinical settings. A free online score calculator has been created to facilitate the use of BDI-II latent trait scores for clinical and research applications (available at https://asdmeasures.shinyapps.io/bdi_score/).

Improving the measurement of alexithymia in autistic adults: a psychometric investigation of the 20-item Toronto Alexithymia Scale and generation of a general alexithymia factor score using item response theory.

BACKGROUND: Alexithymia, a personality trait characterized by difficulties interpreting emotional states, is commonly elevated in autistic adults, and a growing body of literature suggests that this trait underlies several cognitive and emotional differences previously attributed to autism. Although questionnaires such as the 20-item Toronto Alexithymia Scale (TAS-20) are frequently used to measure alexithymia in the autistic population, few studies have investigated the psychometric properties of these questionnaires in autistic adults, including whether differential item functioning (I-DIF) exists between autistic and general population adults. METHODS: This study is a revised version of a previous article that was retracted due to copyright concerns (Williams and Gotham in Mol Autism 12:1-40). We conducted an in-depth psychometric analysis of the TAS-20 in a large sample of 743 cognitively able autistic adults recruited from the Simons Foundation SPARK participant pool and 721 general population controls enrolled in a large international psychological study. The factor structure of the TAS-20 was examined using confirmatory factor analysis, and item response theory was used to generate a subset of the items that were strong indicators of a "general alexithymia" factor. Correlations between alexithymia and other clinical outcomes were used to assess the nomological validity of the new alexithymia score in the SPARK sample. RESULTS: The TAS-20 did not exhibit adequate model fit in either the autistic or general population samples. Empirically driven item reduction was undertaken, resulting in an 8-item general alexithymia factor score (GAFS-8, with "TAS" no longer referenced due to copyright) with sound psychometric properties and practically ignorable I-DIF between diagnostic groups. Correlational analyses indicated that GAFS-8 scores, as derived from the TAS-20, meaningfully predict autistic trait levels, repetitive behaviors, and depression symptoms, even after controlling for trait neuroticism. The GAFS-8 also presented no meaningful decrement in nomological validity over the full TAS-20 in autistic participants. LIMITATIONS: Limitations of the current study include a sample of autistic adults that was majority female, later diagnosed, and well educated; clinical and control groups drawn from different studies with variable measures; only 16 of the TAS-20 items being administered to the non-autistic sample; and an inability to test several other important psychometric characteristics of the GAFS-8, including sensitivity to change and I-DIF across multiple administrations. CONCLUSIONS: These results indicate the potential of the GAFS-8 to robustly measure alexithymia in both autistic and non-autistic adults. A free online score calculator has been created to facilitate the use of norm-referenced GAFS-8 latent trait scores in research applications (available at https://asdmeasures.shinyapps.io/alexithymia ).

Assessing general and autism-relevant quality of life in autistic adults: A psychometric investigation using item response theory.

Although many interventions and services for autistic people have the ultimate goal of improving quality of life (QoL), there is relatively little research on how best to assess this construct in the autistic population, and existing scales designed for non-autistic individuals may not assess all meaningful facets of QoL in the autistic population. To address this need, the autism spectrum QoL form (ASQoL) was recently developed as a measure of the autism-relevant quality of life. However, the psychometrics of the ASQoL have not been examined beyond the authors' initial validation study, and important properties such as measurement invariance/differential item functioning (DIF) have not yet been tested. Using data from 700 autistic adults recruited from the Simons Foundation's SPARK cohort, the current study sought to perform a comprehensive independent psychometric evaluation of the ASQoL using item response theory, comparing its performance to a newly-proposed brief measure of general QoL (the WHOQOL-4). Our models revealed substantial DIF by sex and gender in the ASQoL, which caused ASQoL scores to grossly underestimate the self-reported QoL of autistic women. Based on a comparison of latent variable means, we demonstrated that observed sex/gender differences in manifest ASQoL scores were the result of statistical artifacts, a claim that was further supported by the lack of significant group differences on the sex/gender-invariant WHOQOL-4. Our findings indicate that the ASQoL composite score is psychometrically problematic in its current form, and substantial revisions may be necessary before valid and meaningful inferences can be made regarding autism-relevant aspects of QoL. LAY SUMMARY: Quality of life (QoL) is an extremely important outcome for autistic people, but many of the tools that are used to measure it does not take into account how QoL may be different for autistic people. Using data from 700 autistic adults, we examined the measurement properties of the autism spectrum quality of life form (ASQoL), a new measure of QoL designed specifically for autistic people. Our results indicate that the ASQoL shows a pronounced sex/gender bias, which causes it to underestimate QoL in autistic women. This bias needs to be eliminated before the ASQoL can be successfully used to measure QoL in the autistic population.

Improving the measurement of alexithymia in autistic adults: a psychometric investigation and refinement of the twenty-item Toronto Alexithymia Scale.

BACKGROUND: Alexithymia, a personality trait characterized by difficulties interpreting one's own emotional states, is commonly elevated in autistic adults, and a growing body of literature suggests that this trait underlies a number of cognitive and emotional differences previously attributed to autism, such as difficulties in facial emotion recognition and reduced empathy. Although questionnaires such as the twenty-item Toronto Alexithymia Scale (TAS-20) are frequently used to measure alexithymia in the autistic population, few studies have attempted to determine the psychometric properties of these questionnaires in autistic adults, including whether differential item functioning (I-DIF) exists between autistic and general population adults. METHODS: We conducted an in-depth psychometric analysis of the TAS-20 in a large sample of 743 verbal autistic adults recruited from the Simons Foundation SPARK participant pool and 721 general population controls enrolled in a large international psychological study (the Human Penguin Project). The factor structure of the TAS-20 was examined using confirmatory factor analysis, and item response theory was used to further refine the scale based on local model misfit and I-DIF between the groups. Correlations between alexithymia and other clinical outcomes such as autistic traits, anxiety, and quality-of-life were used to assess the nomological validity of the revised alexithymia scale in the SPARK sample. RESULTS: The TAS-20 did not exhibit adequate global model fit in either the autistic or general population samples. Empirically driven item reduction was undertaken, resulting in an eight-item unidimensional scale (TAS-8) with sound psychometric properties and practically ignorable I-DIF between diagnostic groups. Correlational analyses indicated that TAS-8 scores meaningfully predict autistic trait levels, anxiety and depression symptoms, and quality of life, even after controlling for trait neuroticism. LIMITATIONS: Limitations of the current study include a sample of autistic adults that was overwhelmingly female, later-diagnosed, and well-educated; clinical and control groups drawn from different studies with variable measures; and an inability to test several other important psychometric characteristics of the TAS-8, including sensitivity to change and I-DIF across multiple administrations. CONCLUSIONS: These results indicate the potential of the TAS-8 as a psychometrically robust tool to measure alexithymia in both autistic and non-autistic adults. A free online score calculator has been created to facilitate the use of norm-referenced TAS-8 latent trait scores in research applications (available at http://asdmeasures.shinyapps.io/TAS8_Score ).

Investigating the structure of trait rumination in autistic adults: A network analysis.

LAY ABSTRACT: Autistic adults are substantially more likely to develop depression than individuals in the general population, and recent research has indicated that certain differences in thinking styles associated with autism may play a role in this association. Rumination, the act of thinking about the same thing over and over without a functional outcome, is a significant risk factor for depression in both autistic and non-autistic adults. However, little is known about how different kinds of rumination relate to each other and to depressive symptoms in the autistic population specifically. To fill this gap in knowledge, we recruited a large online sample of autistic adults, who completed questionnaire measures of both the tendency to ruminate and symptoms of depression. By examining the interacting network of rumination and depression symptoms, this study was able to identify particular aspects of rumination-such as thinking repetitively about one's guilty feelings or criticizing oneself-that may be particularly important in maintaining these harmful thought patterns in autistic adults. Although further study is needed, it is possible that the symptoms identified as most "influential" in the network may be particularly good targets for future interventions for mood and anxiety disorders in the autistic population.

Adults with Autism and Adults with Depression Show Similar Attentional Biases to Social-Affective Images.

Individuals with ASD have increased rates of depression compared to the general population. Repetitive cognition is a core feature of ASD; in typically developing adults, repetitive cognition has been associated with attentional biases to negative emotional material and increased prospective depression risk. We compared adults with ASD to typically developing adults with depression and never-depressed controls, using a paired preference paradigm sensitive to affective biases in the context of repetitive cognition. Both clinical cohorts oriented faster to negative social-emotional material and spent less time overall on positive material, compared to healthy controls. Exploratory analyses within ASD revealed specific influences of repetitive behavior on patterns of affective bias. Findings help pinpoint susceptibilities in ASD that may confer increased risk for depression.

Measurement of subcategories of repetitive behaviors in autistic adolescents and adults.

BACKGROUND: Restricted and repetitive behaviors (RRBs) are core features of autism. Factor-analytic studies comprised primarily of children have provided evidence for two domains of RRBs: Repetitive Sensory Motor (RSM) and Insistence on Sameness (IS) behaviors. The present study explores the validity of the Autism Diagnostic Interview-Revised (ADI-R) and the Repetitive Behavior Scale-Revised (RBS-R) for assessing these RRB subtypes in autistic adolescents and adults. METHODS: The sample included 293 participants (Mage=19.89, SD=4.88 years) whose RRBs were assessed via ADI-R or RBS-R Caregiver-report or RBS-R Self-Report. Confirmatory factor analysis (CFA) was conducted to assess the validity of the two-factor structure for each instrument. Cronbach's alpha was computed to assess subscale reliability. Correlations were examined between instrument subscales, NVIQ and age. RESULTS: Exploratory correlations were modest and provided weak evidence in favor of the utility of a CFA for the ADI-R. The RBS-R Caregiver and Self-Report CFA and internal consistencies supported the two-factor RSM and IS model tested. Consistent with previous literature, NVIQ was negatively correlated with the RBS-R Caregiver RSM subscale, but not meaningfully associated with IS. Neither RBS-R Self-Report subscale were meaningfully correlated with NVIQ. Across instruments, RSM subscales were correlated, but associations between IS were minimal. CONCLUSIONS: The present study provides initial support for the use of the RBS-R Caregiver and Self-Report to measure dimensions of RSM and IS behaviors in autistic adolescents and adults. The present data did not support the use of the ADI-R to assess these RRB subtypes in older individuals. Conclusions must be interpreted cautiously in light of the present study's sample limitations. Additional research is needed to understand differences in caregiver and self-reported RRBs. Further research on RRBs in autistic adolescents and adults, particularly in samples of greater gender and racial/ethnic diversity, is critical to inform community understanding and knowledge of autism in adulthood.

Social and nonsocial reward moderate the relation between autism symptoms and loneliness in adults with ASD, depression, and controls.

Individuals with autism spectrum disorder (ASD) report high levels of co-occurring mood disorders. Previous work suggests that people with ASD also experience aberrant responses to social reward compared to typically developing (TD) peers. In the TD population, aberrant reward processing has been linked to anhedonia (i.e., loss of pleasure), which is a hallmark feature of depression. This study examined the interplay between self-reported pleasure from social and nonsocial rewards, autism symptom severity, loneliness, and depressive symptoms across adults with autism spectrum disorder (ASD; N = 49), TD currently depressed adults (TD-dep; N = 30), and TD never depressed controls (TD-con; N = 28). The ASD cohort reported levels of social and nonsocial anhedonia that were greater than TD-con but not significantly different from TD-dep. Across cohorts, both social and nonsocial hedonic capacity moderated the relationship between autism symptoms and loneliness: individuals with low capacity for pleasure experienced elevated loneliness regardless of autism symptom severity, while those with intact capacity for pleasure (i.e., less anhedonia) experienced greater loneliness as a function of increased autism symptoms. Loneliness was the strongest predictor of depressive symptoms across clinical cohorts. Our findings suggest a putative pathway from trait-like anhedonia in ASD to depression via elevated loneliness and indicate that variability in hedonic capacity within the autism spectrum may differentially confer risk for depression in adults with ASD. Results underscore potential mental health benefits of social skills interventions and community inclusion programs for adults with ASD. Autism Res 2019, 12: 884-896. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: The relationship between autism symptoms and loneliness depended on one's ability to experience both social and nonsocial pleasure. Adults who experienced less pleasure reported high levels of loneliness that did not depend autism severity, while adults with high capacity for pleasure were especially lonely if they also had many autism symptoms. Loneliness was the strongest predictor of depressive symptoms, compared to capacity for social and nonsocial pleasure and autism symptoms.

Depression in Youth with Autism Spectrum Disorder.

Depression is both common and impactful in youth with autism spectrum disorder (ASD) and is swiftly growing in recognition as a major public health concern within the autism community. This article is intended to provide a brief overview of the prevalence, impact, presentation, and risk factors associated with cooccurring depression in children and adolescents with ASD. Clinical guidelines for the assessment and treatment of depression in the ASD population are offered in line with the small existing evidence base.

Hooked on a feeling: Repetitive cognition and internalizing symptomatology in relation to autism spectrum symptomatology.

Repetitive cognition, including rumination such as that seen in depression, has been shown to correlate with depression symptoms in both typically developing individuals and individuals with autism spectrum disorder. Repetitive cognition is more common in autism spectrum disorder than in typically developing peers, as is depression; thus, this study evaluated the role of repetitive cognition in relation between autism spectrum symptomatology and depressive symptomatology. In all, 200 typically developing adults completed self-report questionnaires measuring autism spectrum symptomatology, different forms of repetitive cognition (general perseveration and depressive rumination), depression, and rejection sensitivity. Perseveration was found to mediate the relation between autism spectrum symptoms and depression, and to partially mediate the relation between autism spectrum symptoms and rejection sensitivity. We conclude that it is of vital importance to consider cognition when considering depression in autism spectrum disorder.