Aim: Deterioration in premorbid adjustment is related to ultra-high risk (UHR) individuals developing psychosis, but it has not been examined how UHR individuals' development differs compared to healthy controls. This study investigates differences in premorbid adjustment between UHR individuals and a healthy control group.
Method: A total of 48 UHR individuals and 50 healthy controls matched on group level for age, gender and parents' socio-economic status were included in the study. Both groups were assessed with the Premorbid Adjustment Scale (PAS). Based on the PAS scores, composite social and academic scales were computed.
Results: Compared to the healthy controls the UHR individuals' social and academic premorbid adjustment declined across age periods. Social premorbid adjustment declined particularly between late adolescence and adulthood. Academic premorbid adjustment declined particularly between childhood and early adolescence. The UHR individuals had more premorbid adjustment difficulties on both the social and academic scale, and on the individual PAS scales.
Conclusion: From childhood UHR individuals have lower levels of social and academic premorbid adjustment compared to healthy controls, and the difficulties increase with age. As such, social and academic premorbid adjustment could be an important focus for early intervention.
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http://dx.doi.org/10.1111/eip.12375 | DOI Listing |
Int J Stroke
January 2025
School of Health Sciences, The University of Melbourne, Parkville VIC Australia.
Background: Falls are common after stroke and can have serious consequences such as hip fracture. Prior research shows around half of individuals will fall within the 12 months post stroke and these falls are more likely to cause serious injury compared to people without stroke. However, there is limited research on risk factors collected in the immediate post-stroke period that may relate to falls risk.
View Article and Find Full Text PDFEur Neuropsychopharmacol
December 2024
Barcelona Clinic Schizophrenia Unit, Institute of Neurosciences, Hospital Clinic, Barcelona, Spain; Institut d'Investigacions Mèdiques August Pi i Sunyer (IDIBAPS), Fundació Clínic, Barcelona, Spain; Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain. Electronic address:
Emerging evidence suggests that retinal structural alterations are present in schizophrenia spectrum disorders (SSD), potentially reflecting broader neurodevelopmental and neurodegenerative processes. This cross-sectional study investigates retinal thickness and its clinical correlations in a sample of early-course SSD patients compared to healthy controls (HCs). One hundred-two eyes from 26 SSD cases and 25 age- and sex-matched HCs were included.
View Article and Find Full Text PDFInt J Soc Psychiatry
December 2024
Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands.
Background: Due to prior emphasis on clinical recovery in Schizophrenia Spectrum Disorder (SSD), improving social functioning (SF) was oftentimes neglected, with ⩽15% of patients achieving social recovery. Priorly, we and others have shown that life-course factors, including childhood adversities, play a role in the occurrence and severity of postmorbid SF impairments, highlighting the need to understand these factors for effective interventions.
Aim: This study investigates the mechanisms influencing SF in SSD and examines the causal roles of childhood trauma, premorbid adjustment, perceived stigma, self-esteem, and quality of life.
Arch Clin Neuropsychol
December 2024
Traumatic Brain Injury Center of Excellence, Silver Spring, MD, USA.
Objective: To examine correlates of the discrepancy between subjective cognitive complaints and processing speed performance in a sample of military personnel with and without traumatic brain injury (TBI).
Method: About 235 U.S.
J Int Neuropsychol Soc
November 2024
Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA.
Objective: To establish quick-reference criteria regarding the frequency of statistically rare changes in seven neuropsychological measures administered to older adults.
Method: Data from 935 older adults examined over a two-year interval were obtained from the Alzheimer's Disease Neuroimaging Initiative. The sample included 401 cognitively normal older adults whose scores were used to determine the natural distribution of change scores for seven cognitive measures and to set change score thresholds corresponding to the 5 percentile.
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