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.
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http://dx.doi.org/10.1002/aur.69 | DOI Listing |
JMIR Perioper Med
January 2025
Department of Surgery, Indiana University School of Medicine, Indianapolis, IN, United States.
Background: Postoperative delirium (POD) is a common complication after major surgery and is associated with poor outcomes in older adults. Early identification of patients at high risk of POD can enable targeted prevention efforts. However, existing POD prediction models require inpatient data collected during the hospital stay, which delays predictions and limits scalability.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
School of Health Sciences, Center for Health Technology and Services Research, University of Aveiro, Aveiro, Portugal.
Background: Digital solutions, such as mobile apps or telemonitoring devices, are frequently considered facilitators in the process of empowering older adults, but they can also act as a source of digital exclusion or disempowerment if they are not adequate for older adults' needs and characteristics.
Objective: This study aimed to synthesize and critically evaluate existing evidence on the effectiveness of integrated digital solutions that enable interaction for empowering older adults in aspects related to their health and to explore potential factors (eg, type of technology, participants' characteristics) impacting effectiveness.
Methods: A systematic search was carried out in PubMed, ScienceDirect, SCOPUS, EBSCO, and SciELO using a combination of terms informed by previous reviews on empowerment.
Psychol Addict Behav
January 2025
Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego.
Objective: Alcohol use is common in older adults and linked to poor health and aging outcomes. Studies have demonstrated genetic and environmental contributions to the quantity of alcohol consumption in mid-to-late life, but less is known about whether these influences are moderated by sociodemographic factors such as age, sex, and educational attainment. This study sought to better understand sociodemographic trends in alcohol consumption across the second half of the life course and their underlying genetic and environmental influences.
View Article and Find Full Text PDFPsychol Addict Behav
January 2025
Department of Psychology, University of Michigan.
Objective: Alcohol use offers social benefits for young adults, but also carries risk of significant negative consequences. Better understanding of processes driving alcohol use for those who experience negative consequences can prevent these harms. These at-risk young adults likely have drinking patterns in common and patterns unique to each individual.
View Article and Find Full Text PDFPsychol Addict Behav
January 2025
Department of Psychology and Neuroscience, Dalhousie University.
Objective: We examined whether hangover-related rumination-repeatedly dwelling on negative aspects of yesterday's drinking while hungover the following morning-predicts changes in three dimensions of heavy episodic drinking (HED) over time.
Method: = 334 emerging adults (aged 19-29) from three Eastern Canadian universities who had recently experienced a hangover completed online self-report questionnaires at baseline (Wave 1) and 30 days later (Wave 2; 71.6% retention).
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