Factor Structure and Internal Consistency of the National Alzheimer Coordinating Center's Uniform Data Set Version 3 Neuropsychological Test Battery (UDSNB 3.0)

被引:0
|
作者
Ucheagwu, Valentine [1 ]
Odilora, Chiamaka [2 ]
Ugokwe-Joseph, Rita [1 ]
Giordani, Bruno [3 ]
机构
[1] Nnamdi Azikiwe Univ, Awka, Nigeria
[2] Chukwuemeka Odumegwu Ojukwu Univ, Igbariam, Nigeria
[3] Univ Michigan, Ann Arbor, MI USA
关键词
CFA; EFA; validation; UDSv3; DISEASE; DEMENTIA;
D O I
10.1097/WAD.0000000000000630
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: Construct validation of cognitive batteries across Africa is imperative to understanding dementia in the region. We examined construct validity and internal consistency of the neuropsychological battery of Uniform Data Set version 3 (UDSNB 3.0) of the Alzheimer Coordinating Center in Nigeria older adults. Method: Three hundred forty-nine (220 females; age: 65 to 85) community dwellers were recruited. UDSNB 3.0 with 12 subscales were used to measure cognition. Two sets of data were collected. First was for exploratory factor analysis (EFA) and second was confirmatory factor analysis (CFA). Four models were specified for CFA. Result: EFA principal axis factor with varimax rotation yielded 4 factors: Executive function, memory, visual-spatial ability, and processing speed. Four CFA were performed based on 4 specified models, with only model 3 showing good model fit: CMIN/DF=2.13; confirmatory fit index=0.94; root mean square error of approximation=0.07. Model 3 had 5 latent variables: working memory, language, verbal memory, visual-spatial ability, and processing speed. UDSNB 3.0 had an overall Cronbach alpha of 0.73, suggesting strong internal reliability with ANOVA model F-134,F-1619=183.65 significant at P<0.001 level of testing. Conclusions: Our study showed that UDSNB 3.0 has construct validity and good internal consistency in our older adult population.
引用
收藏
页码:265 / 270
页数:6
相关论文
共 26 条
  • [21] Agitation in Cognitive Disorders: Use of the National Alzheimer's Coordinating Center Uniform Data Set (NACC-UDS) to Evaluate International Psychogeriatric Association Definition
    Sano, Mary
    Zhu, Carolyn W.
    Neugroschl, Judith
    Grossman, Hillel T.
    Schimming, Corbett
    Aloysi, Amy
    AMERICAN JOURNAL OF GERIATRIC PSYCHIATRY, 2022, 30 (11) : 1198 - 1208
  • [22] The Longitudinal Assessment of Neuropsychiatric Symptoms in Mild Cognitive Impairment and Alzheimer's Disease and Their Association With White Matter Hyperintensities in the National Alzheimer's Coordinating Center's Uniform Data Set
    Anor, Cassandra J.
    Dadar, Mahsa
    Collins, D. Louis
    Tartaglia, M. Carmela
    BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING, 2021, 6 (01) : 70 - 78
  • [23] Predicting Progression from Normal to MCI and from MCI to AD Using Clinical Variables in the National Alzheimer’s Coordinating Center Uniform Data Set Version 3: Application of Machine Learning Models and a Probability Calculator
    Y. Pang
    W. Kukull
    M. Sano
    R. L. Albin
    C. Shen
    J. Zhou
    Hiroko H. Dodge
    The Journal of Prevention of Alzheimer's Disease, 2023, 10 : 301 - 313
  • [24] Independent effects of white matter hyperintensities on cognitive, neuropsychiatric, and functional decline: a longitudinal investigation using the National Alzheimer's Coordinating Center Uniform Data Set
    Puzo, Christian
    Labriola, Caroline
    Sugarman, Michael A.
    Tripodis, Yorghos
    Martin, Brett
    Palmisano, Joseph N.
    Steinberg, Eric G.
    Stein, Thor D.
    Kowall, Neil W.
    McKee, Ann C.
    Mez, Jesse
    Killiany, Ronald J.
    Stern, Robert A.
    Alosco, Michael L.
    ALZHEIMERS RESEARCH & THERAPY, 2019, 11 (1)
  • [25] Commentary on Agitation in Cognitive Disorders: Use of the National Alzheimer's Coordinating Center Uniform Data Set (NACC-UDS) to Evaluate International Psychogeriatric Association Definition
    Fischer, Corinne E.
    AMERICAN JOURNAL OF GERIATRIC PSYCHIATRY, 2022, 30 (11) : 1209 - 1211
  • [26] Feasibility of Remote Administration of the Uniform Data Set-Version 3 for Assessment of Older Adults With Mild Cognitive Impairment and Alzheimer's Disease
    Sachs, Bonnie C.
    Latham, Lauren A.
    Bateman, James R.
    Cleveland, Mary Jo
    Espeland, Mark A.
    Fischer, Eric
    Gaussoin, Sarah A.
    Leng, Iris
    Rapp, Stephen R.
    Rogers, Samantha
    Shappell, Heather M.
    Williams, Benjamin J.
    Yang, Mia
    Craft, Suzanne
    ARCHIVES OF CLINICAL NEUROPSYCHOLOGY, 2024, 39 (05) : 635 - 643