Previous studies found substantial variability in adult outcome for people with autism whose cognitive functioning was within the near-average and average ranges. This study examined adult outcome for 41 such individuals (38 men and 3 women) originally identified through an epidemiological survey of autism in Utah. Mean age at the time of their previous cognitive assessment was 7.2 years (SD=4.1, range=3.1-25.9 years) and at follow-up was 32.5 years (SD=5.7 years, range=22.3-46.4 years). Outcome measures included standardized assessments of diagnostic status, cognitive ability, and adaptive behavior. Additional information collected concerned demographic variables, indicators of independence, social relationships, medical and psychiatric conditions, and social service use. Outcomes for this sample were better than outcomes described in previous work on individuals with similar cognitive functioning. For example, half of the participants were rated as "Very Good" or "Good" on a global outcome measure. As in previous studies, there was considerable variability in measured cognitive ability over time. Over half of the sample had large gains or losses of cognitive ability of greater than 1 standard deviation. Cognitive gain was associated with better outcome, as was better adaptive functioning. While all participants had baseline IQs in the nonimpaired range, there was limited evidence to support the use of other early childhood variables to predict adult outcome.
The purpose of this study was to investigate comorbid psychiatric disorders and psychotropic medication use among adults with autism spectrum disorder (ASD) ascertained as children during a 1980’s statewide Utah autism prevalence study (n = 129). Seventy-three individuals (56.6 %) met criteria for a current psychiatric disorder; 89 participants (69.0 %) met lifetime criteria for a psychiatric disorder. Caregivers reported a psychiatric diagnosis in 44 participants (34.1 %). Anxiety disorder had the highest current and lifetime prevalence (39.5 and 52.7 %, respectively). Participants with intellectual disability (n = 94, 72.8 %) were significantly less likely to have community-based diagnoses of anxiety (χ2 = 5.37, p = 0.02) or depression (χ2 = 13.18, p < 0.001) reported by caregivers. Seventy-six participants (58.9 %) were taking ≥1 psychotropic medication. Comorbid psychiatric disorders occur frequently in adults with ASD, though identifying these disorders poses a challenge in community settings. A greater understanding of the presentation of these conditions within this population will increase assessment validity and the potential for efficacious intervention.
This study’s purpose was to investigate mortality among individuals with autism spectrum disorders (ASD) ascertained during a 1980s statewide autism prevalence study (n = 305) in relation to controls. Twenty-nine of these individuals (9.5 %) died by the time of follow up, representing a hazard rate ratio of 9.9 (95 % CI 5.7–17.2) in relation to population controls. Death certificates identified respiratory, cardiac, and epileptic events as the most common causes of death. The elevated mortality risk associated with ASD in the study cohort appeared related to the presence of comorbid medical conditions and intellectual disability rather than ASD itself suggesting the importance of coordinated medical care for this high risk sub-population of individuals with ASD.
BACKGROUND: Pediatricians, neurologists, and geneticists are important sources for autism surveillance, screening, and referrals, but practical time constraints limit the clinical utility of behavioral observations. We analyzed behaviors under favorable conditions (ie, video of autism evaluations reviewed by experts) to determine what is optimally observable within 10-minute samples, asked for referral impressions, and compared these to formal screening and developmental testing results.METHODS: Participants (n = 42, aged 15 to 33 months) were typically developing controls and children who screened positive during universal autism screening within a large community pediatric practice. Diagnostic evaluations were performed after screening to determine group status (autism, language delay, or typical). Licensed psychologists with toddler and autism expertise, unaware of diagnostic status, analyzed two 10-minute video samples of participants' autism evaluations, measuring 5 behaviors: Responding, Initiating, Vocalizing, Play, and Response to Name. Raters were asked for autism referral impressions based solely on individual 10-minute observations. RESULTS: Children who had autism showed more typical behavior (89% of the time) than atypical behavior (11%) overall. Expert raters missed 39% of cases in the autism group as needing autism referrals based on brief but highly focused observations. Significant differences in cognitive and adaptive development existed among groups, with receptive language skills differentiating the 3 groups.CONCLUSIONS: Brief clinical observations may not provide enough information about atypical behaviors to reliably detect autism risk. High prevalence of typical behaviors in brief samples may distort clinical impressions of atypical behaviors. Formal screening tools and general developmental testing provide critical data for accurate referrals. WHAT'S KNOWN ON THIS SUBJECT:Behavioral observations influence a clinician' s decision to diagnose or refer, and may even override formal screening results. In the case of autism spectrum disorder, an expected rate of atypical behavior during the span of a medical visit is unknown. WHAT THIS STUDY ADDS:We are the first to quantify the high base rates of typical behavior in young children who have autism and language delay. When observation times are brief, the preponderance of typical behaviors may negatively impact referral decision accuracy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.