Literature DB >> 23398381

Confirmatory factor analysis of the Neuropsychological Assessment Battery of the LADIS study: a longitudinal analysis.

Carla Moleiro1, Sofia Madureira, Ana Verdelho, José M Ferro, Anna Poggesi, Hugues Chabriat, Timo Erkinjuntti, Franz Fazekas, Michael Hennerici, John O'Brien, Leonardo Pantoni, Emilia Salvadori, Philip Scheltens, Marieke C Visser, Lars-Olof Wahlund, Gunhild Waldemar, Anders Wallin, Domenico Inzitari.   

Abstract

Age-related white matter changes have been associated with cognitive functioning, even though their role is not fully understood. This work aimed to test a 3-factor model of the neuropsychological assessment battery and evaluate how the model fit the data longitudinally. Confirmatory factor analysis (CFA) was used to investigate the dimensions of a structured set of neuropsychological tests administered to a multicenter, international sample of independent older adults (LADIS study). Six hundred and thirty-eight older adults completed baseline neuropsychological, clinical, functional and motor assessments, which were repeated each year for a 3-year follow-up. CFA provided support for a 3-factor model. These factors involve the dimensions of executive functions, memory functions, and speed and motor control abilities. Performance decreased in most neuropsychological measures. Results showed that executive functioning, memory and speed of motor abilities are valid latent variables of neuropsychological performance among older adults, and that this structure is relatively consistent longitudinally, even though performance decreases with time.

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Year:  2013        PMID: 23398381     DOI: 10.1080/13803395.2013.770822

Source DB:  PubMed          Journal:  J Clin Exp Neuropsychol        ISSN: 1380-3395            Impact factor:   2.475


  3 in total

1.  Latent structure of cognitive performance in the adult children study.

Authors:  Denise Head; Samantha Allison; Nathaniel Lucena; Jason Hassenstab; John C Morris
Journal:  J Clin Exp Neuropsychol       Date:  2016-11-20       Impact factor: 2.475

2.  Early-Stage White Matter Lesions Detected by Multispectral MRI Segmentation Predict Progressive Cognitive Decline.

Authors:  Hanna Jokinen; Nicolau Gonçalves; Ricardo Vigário; Jari Lipsanen; Franz Fazekas; Reinhold Schmidt; Frederik Barkhof; Sofia Madureira; Ana Verdelho; Domenico Inzitari; Leonardo Pantoni; Timo Erkinjuntti
Journal:  Front Neurosci       Date:  2015-12-02       Impact factor: 4.677

3.  Increase of blood-brain barrier leakage is related to cognitive decline in vascular mild cognitive impairment.

Authors:  Man Li; Yue Li; Long Zuo; Wenli Hu; Tao Jiang
Journal:  BMC Neurol       Date:  2021-04-15       Impact factor: 2.474

  3 in total

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