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Rumination, a form of passive, repetitive negative thinking, predicts the development of depressive disorders in non-autistic individuals, and recent work suggests higher levels of rumination may contribute to elevated rates of depression in the autistic population. Using psychological network analysis, this study sought to investigate the structure of rumination in autistic individuals and the relationships between rumination and individual depressive symptoms. Non-regularized partial correlation networks were estimated using cross-sectional data from 608 autistic adults who completed the Ruminative Responses Scale and Beck Depression Inventory-II. Node centrality indices were calculated to determine which specific symptoms may have a disproportionate influence on the network of repetitive negative thoughts. Nodes were also grouped into communities, and specific "bridge" nodes were identified that most strongly connected these different communities. Results demonstrated strong positive relationships between all facets of ruminative thinking, similar to a prior study in non-autistic adults. Self-directed negative cognitions appeared to be particularly central in this network. The depression symptoms most strongly related to rumination in autistic adults were sadness and guilt. Although these findings are preliminary, they highlight specific facets of rumination that warrant future study as depression risk factors and potential intervention targets in the autistic population.

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.

The Short Sensory Profile (SSP) is one of the most commonly used measures of sensory features in children with autism spectrum disorder (ASD), but psychometric studies in this population are limited. Using confirmatory factor analysis, we evaluated the structural validity of the SSP subscales in ASD children. Confirmatory factor models exhibited poor fit, and a follow-up exploratory factor analysis suggested a 9-factor structure that only replicated three of the seven original subscales. Secondary analyses suggest that while reliable, the SSP total score is substantially biased by individual differences on dimensions other than the general factor. Overall, our findings discourage the use of the SSP total score and most subscale scores in children with ASD. Implications for future research are discussed.

Social difficulties and mental health are primary behavioral health concerns in autistic young adults, perhaps especially during key life transitions such as entering college. This study evaluated how dissatisfaction with social connectedness may predict and/or maintain depression and anxiety symptoms in neurodiverse, first-semester, undergraduate students (N = 263; n = 105 with diagnosed or suspected autism). Participation included a baseline survey battery, a brief survey completed twice per week across 12 weeks, and an endpoint survey battery. Social dissatisfaction at baseline was prospectively associated with biweekly ratings of depression symptoms, when controlling for baseline depressive symptoms. Social dissatisfaction was synchronously related to elevated sadness, anhedonia, and anxiety throughout the semester. These relationships were generally consistent across levels of baseline social motivation; however, there was one significant moderation effect—the negative relationship between baseline social satisfaction and anxiety was strongest for more socially motivated participants. More autistic traits were related to lower social satisfaction at baseline and greater mood concerns across timepoints. In contrast, greater autistic traits at baseline were related to greater satisfaction with social connectedness throughout the semester. Results support ongoing efforts to address mental health in autistic college students by highlighting the importance of social satisfaction. 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. [ABSTRACT FROM AUTHOR]

Proposed DSM-5 revisions to the diagnosis of autism spectrum disorder (ASD) include a "severity" marker based on degree of impairment. Although qualitative differences between support levels are described, quantitative methods or practice recommendations for differentiating between levels remain undetermined. This leaves the field vulnerable to potential discrepancies between severity categorizations that may have inadvertent service implications. We examined overlap between mild, moderate, and severe impairment classifications based on autism symptoms, cognitive skills, and adaptive functioning in 726 participants (15 months-17 years) with ASD. Participants with mild, moderate, and severe autism symptoms demonstrated varying levels of adaptive and cognitive impairment. These discrepancies highlight the need for a clearly elucidated method of classifying level of support in ASD diagnosis.

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. [ABSTRACT FROM AUTHOR]

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., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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/).