Journal
AGING CLINICAL AND EXPERIMENTAL RESEARCH
Volume -, Issue -, Pages -Publisher
SPRINGER
DOI: 10.1007/s40520-023-02612-7
Keywords
Aging; Cognition; Physical fitness; Assessments; Validity
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This study describes the factor structure and provides validity evidence of a neuropsychological and a physical testing batteries using factor analysis. The neuropsychological model revealed a four-factor structure, while the physical model had a two-factor structure.
BackgroundValid and reliable measurements are necessary to understand and monitor age-related changes.AimsTo describe the factor structure and provide validity evidence of a neuropsychological and a physical testing batteries using factor analysis.MethodsWe performed a secondary analysis of data from the Epidemiology and Development of Alzheimer's Disease (EDAD) project. Community-dwelling adults aged 55 to 85 years underwent comprehensive physical and neuropsychological assessments. An exploratory factor analysis was performed on both assessment batteries. The models were later confirmed with a random subsample using confirmatory factor analysis.ResultsData from 238 adults (163 females and 75 males) was included. The neuropsychological model revealed a four-factor structure formed by Executive Functioning, Verbal Memory, Logical Memory, and Labeling And Reading (Extraction Sums of Squared Loadings [ESSL] = 56.41% explained variance; Standardized Root Mean Square Residual [SRMSR] = 0.06; Comparative Fit Index [CFI] = 0.98). The physical model was formed by a two-factor structure including Health-related Fitness and Functional Fitness (ESSL = 50.54% explained variance; SRMSR = 0.07; CFI = 0.93).DiscussionTo our knowledge, this is the first study to analyze the structure of comprehensive testing batteries for the Latin-American older adults. Our analysis contributes to the understanding of theoretical constructs that are evaluated in the EDAD project.ConclusionOur findings provide validity evidence for simplified and reduced testing batteries, which imply shorter testing times and fewer resources.
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