Camouflaging includes strategies used by individuals to mask or hide autistic traits. Research has shown that both autistic and neurotypical individuals engage in camouflaging and that there may be sex differences in the reasons for camouflaging in autistic adults. A qualitative study recently published in the Journal of Autism and Developmental Disorders extends previous research on the lived experience of camouflaging through exploring camouflaging motivations and consequences in autistic and neurotypical adolescents through both questionnaires (n = 132) and semi-structured interviews (n = 19). Results revealed trends in camouflaging motivations and consequences by diagnosis and sex, as well as by sex within the autistic group. These findings further inform our understanding of camouflaging and why it may be reported as particularly detrimental for autistic females. (PsycInfo Database Record (c) 2021 APA, all rights reserved)
Identifying individuals with subtle cognitive decline
August 18, 2022
Dementia is a devastating neurological disease that may be better managed if diagnosed earlier when subclinical neurodegenerative changes are already present, including subtle cognitive decline and mild cognitive impairment. In a new study published in the journal Neuropsychology, researchers used item-level performance on the Montreal Cognitive Assessment (MoCA) to identify individuals with subtle cognitive decline. Method: Individual MoCA item data from the Alzheimer’s Disease Neuroimaging Initiative was grouped using k-modes cluster analysis. These clusters were validated and examined for association with convergent neuropsychological tests. The clusters were then compared and characterized using multinomial logistic regression. Results: A three-cluster solution had 77.3% precision, with Cluster 1 (high performing) displaying no deficits in performance, Cluster 2 (memory deficits) displaying lower memory performance, and Cluster 3 (compound deficits) displaying lower performance on memory and executive function. Age at MoCA (older in compound deficits), gender (more females in memory deficits), and marital status (fewer married in compound deficits) were significantly different among clusters. Age was not associated with increased odds of membership in the high-performing cluster compared to the others. Conclusions: We identified three clusters of individuals classified as cognitively unimpaired using cluster analysis. Individuals in the compound deficits cluster performed lower on the MoCA and were older and less often married than individuals in other clusters. Demographic analyses suggest that cluster identity was due to a combination of both cognitive and clinical factors. Identifying individuals at risk for future cognitive decline using the MoCA could help them receive earlier evidence-based interventions to slow further cognitive decline. (PsycInfo Database Record (c) 2022 APA, all rights reserved)