Dimensionality and internal consistency of the Jebsen-Taylor Hand Function Test (JTHFT) across affected and non-affected hands: an exploratory cross-sectional study
Abstract
Abstract Background The Jebsen-Taylor Hand Function Test (JTHFT) is a widely used performance-based measure of manual function, but its internal consistency varies considerably across studies, populations, and hands, and its dimensionality remains insufficiently characterized. This exploratory, cross-sectional study aimed to explore and compare the internal structure and internal consistency of the JTHFT between the affected and non-affected hands in adults with upper limb musculoskeletal impairment. Methodology: Sixty adults with upper limb impairment, recruited from a hand therapy outpatient clinic, completed the JTHFT with affected and non-affected hand. Given non-normal item distributions, Spearman correlation matrices were used for all analyses. Separate exploratory factor analyses, using principal axis factoring, were conducted for each hand, with sampling adequacy assessed via the Kaiser-Meyer-Olkin measure and Bartlett's test of sphericity, and the number of factors to retain determined by parallel analysis. Internal consistency was assessed using Cronbach's alpha, with 95% confidence intervals, and McDonald's omega. Results Parallel analysis indicated a single retained factor in both hands. The affected hand showed a unidimensional structure explaining 69.0% of variance and good internal consistency (alpha = 0.864 [0.803, 0.910]; omega = 0.939 [0.907, 0.957]). The non-affected hand also showed a unidimensional structure, explaining 61.9% of variance, but…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.
Read the paper
Related studies
- eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses
- Online Survival Analysis Software to Assess the Prognostic Value of Biomarkers Using Transcriptomic Data in Non-Small-Cell Lung Cancer
- OptiType: precision HLA typing from next-generation sequencing data
- Nicotinic Cholinergic System and COVID-19: In Silico Identification of an Interaction between SARS-CoV-2 and Nicotinic Receptors with Potential Therapeutic Targeting Implications
- Saccharomyces cerevisiae cells have three Omega class glutathione S-transferases acting as 1-Cys thiol transferases
- Hemolysis at low blood flow rates: in-vitro and in-silico evaluation of a centrifugal blood pump
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.