The abbreviated version of Penn State Worry Questionnaire (PSWQ-A) has been widely used to assess worry. However, its measurement invariance has been not yet warranted. With a cross-sectional and a longitudinal sample of Chinese adolescents (N1 = 1,329, N2 = 408), this study examined age, gender, and longitudinal invariance of PSWQ-A. Results supported strict invariance, including configural, metric, scalar, and error level, across gender and age in the cross-sectional sample; strict longitudinal measurement invariance was also supported in the longitudinal sample. This study suggests the application of the PSWQ-A in measuring adolescent worry and a basis for comparisons of different populations and occasions for worry.
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http://dx.doi.org/10.3389/fpsyt.2023.1086592 | DOI Listing |
Ann Acad Med Singap
December 2024
Department of Geriatric Medicine, Tan Tock Seng Hospital, Singapore.
Introduction: Timely detection of dementia enables early access to dementia-specific care services and interventions. Various stakeholders brought together to refine Singapore's dementia care strategy identified a lack of a standardised cognitive screening tool and the absence of a comparative review of existing tools. We hence conducted a rapid review to evaluate the diagnostic performance of brief cognitive screening tools in identifying possible dementia among community-dwelling older adults in Singapore.
View Article and Find Full Text PDFBMJ Open
December 2024
Unité de recherche Clinique, Hôpital Bichat-Claude-Bernard, Paris, Île-de-France, France.
Introduction: Traumatic brain injury (TBI) is one of the leading causes of death and disability worldwide. Treatments for TBI patients are limited and none has been shown to provide prolonged and long-term neuroprotective or neurorestorative effects. A growing body of evidence suggests a link between TBI-induced neuro-inflammation and neurodegenerative post-traumatic disorders.
View Article and Find Full Text PDFIntroduction: Although maintenance treatment is recommended for the prevention of relapse, in real-world settings, a subset of patients discontinue antipsychotics while having a good prognosis. The prediction of functional remission in patients with schizophrenia after antipsychotic discontinuation (FURSAD) study aims to obtain real-world knowledge regarding the characteristics of schizophrenia (SCZ) patients who achieve functional remission after antipsychotic discontinuation for 1 year or more. This study also aims to establish a prediction model to identify patients likely to benefit from antipsychotic discontinuation.
View Article and Find Full Text PDFJ Affect Disord
December 2024
Department of Health Promotion, Norwegian Institute of Public Health, Zander Kaaes gate 7, 5015 Bergen, Norway.
Background: The Improving Access to Psychological Therapies (IAPT) program uses the Patient Health Questionnaire (PHQ-9), the Generalized Anxiety Disorder Scale (GAD-7), and the Work and Social Adjustment Scale (WSAS) as part of their unique outcome monitoring system. To reduce patient burden, this study explored whether abbreviated versions of these questionnaires can be used to derive relevant outcome statistics with minimal loss of information.
Methods: Using two samples (training; n = 1530, validation; n = 766), we examined whether existing short-forms, PHQ-4 and GAD-R3, would provide enough information to calculate relevant outcomes with near perfect agreement with the outcomes based on the original scales.
JMIR Ment Health
December 2024
Otsuka Pharmaceutical Development & Commercialization, Inc, 508 Carnegie Center Drive, Princeton, NJ, 08540, United States, 1 609 535 9035.
Background: Sleep-wake patterns are important behavioral biomarkers for patients with serious mental illness (SMI), providing insight into their well-being. The gold standard for monitoring sleep is polysomnography (PSG), which requires a sleep lab facility; however, advances in wearable sensor technology allow for real-world sleep-wake monitoring.
Objective: The goal of this study was to develop a PSG-validated sleep algorithm using accelerometer (ACC) and electrocardiogram (ECG) data from a wearable patch to accurately quantify sleep in a real-world setting.
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