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Purpose: To assesses the reliability and validity of the Bengali version of the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0, 36-item) for individuals with spinal cord injury (SCI).
Methods: A total of 144 participants (81% men) completed the WHODAS 2.0, the Spinal Cord Independence Measure (SCIM), and the SF-36 Health Survey, alongside socio-demographic and injury-related data. A sub-sample of 62 was reassessed after 8-10 days. Reliability was evaluated using Cronbach's alpha and intra-class correlation coefficients (ICC). Validity was examined through internal structure, convergent validity ( correlations with SCIM and SF-36), discriminant validity (by comparing groups with tetraplegia and paraplegia), and Rasch analysis.
Results: Internal consistency ranged from questionable (α = 0.69 for getting around) to excellent (α = 0.92 for life activities). Test-retest reliability ranged from moderate (ICC = 0.58 for cognition) to excellent (ICC = 0.92 for self-care). Significant correlations with SCIM and SF-36 supported convergent validity, while group differences based on neurological level supported discriminant validity. All items in the Cognition domain failed to fit the Rasch model.
Conclusion: The Bengali WHODAS 2.0 demonstrates acceptable reliability and validity for individuals with SCI, supporting its clinical use in resource-limited settings. Further validation in larger samples is recommended, particularly for the Cognition domain.
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http://dx.doi.org/10.1080/09638288.2025.2547401 | DOI Listing |
Disabil Rehabil
September 2025
Department of Rehabilitation Sciences and Physiotherapy, University of Leuven, Leuven, Belgium.
Purpose: This study aims to cross-culturally validate the Dutch version of the Lymphedema Symptom Intensity and Distress Survey-Head and Neck version 2.0 (LSIDS-H&N v2.0).
View Article and Find Full Text PDFJ Affect Disord
September 2025
Department of Psychology, College of Social Sciences and Humanities, Koç University, Istanbul, Türkiye.
Background: Refugees face psychosocial challenges after resettling in host nations, including experienced stigma and microaggressions. Microaggressions are subtle/ambiguous discriminatory remarks or behaviors. There is a dearth of research and instruments examining microaggressions refugees face.
View Article and Find Full Text PDFNeurosci Biobehav Rev
September 2025
Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy.
Machine learning (ML) could be useful in identifying reliable predictors of treatment response in affective and not affective psychoses, potentially helping to propose personalized interventions. In this systematic review and meta-analysis, we evaluated studies exploiting ML algorithms to predict the improvement of psychotic symptoms, cognition and quality of life in psychoses related to different treatments. We searched MEDLINE (PubMed), Web of Science, and PsycINFO databases updated until February 2024, identifying 64 articles published in English in peer-reviewed journals.
View Article and Find Full Text PDFPhotodiagnosis Photodyn Ther
September 2025
Department of Ophthalmology, People's Hospital of Feng Jie, Chongqing, 404600, China. Electronic address:
Objective: This study aims to develop a robust, multi-task deep learning framework that integrates vessel segmentation and radiomic analysis for the automated classification of four retinal conditions- diabetic retinopathy (DR), hypertensive retinopathy (HR), papilledema, and normal fundus-using fundus images.
Materials: AND.
Methods: A total of 2,165 patients from eight medical centers were enrolled.
Biosens Bioelectron
September 2025
Cancer Research Institute, The First Affiliated Hospital, University of South China, Hengyang, 421001, PR China; State Key Laboratory of Chemo/Biosensing and Chemometrics, School of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, PR China. Electronic address:
A highly sensitive, selective, and simple method for detecting uranyl ions (UO) is crucial for human health and environmental safety. Amidoxime-based nanomaterials have been widely employed for UO detection, but their higher affinity for vanadium than UO limits their practical applications. Herein, a novel covalent organic polymer fluorescent probe (TT-COP) for UO detection was innovatively developed by a one-step Schiff-base condensation reaction between 3,3',5,5'-tetramethylbenzidine (TMB) and 2,4,6-triformylphloroglucinol (Tp).
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