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Facilitating clinical use of the Amsterdam Instrumental Activities of Daily Living Questionnaire: Normative data and a diagnostic cutoff value.
Postema, Merel C; Dubbelman, Mark A; Claesen, Jürgen; Ritchie, Craig; Verrijp, Merike; Visser, Leonie; Visser, Pieter-Jelle; Zwan, Marissa D; van der Flier, Wiesje M; Sikkes, Sietske A M.
Afiliación
  • Postema MC; Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, Amsterdam, The Netherlands.
  • Dubbelman MA; Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands.
  • Claesen J; Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, Amsterdam, The Netherlands.
  • Ritchie C; Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands.
  • Verrijp M; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Visser L; Department of Neurology, Brigham and Women's Hospital, Center for Alzheimer Research and Treatment, Harvard Medical School, Boston, MA, USA.
  • Visser PJ; Department of Epidemiology and Data Science, Amsterdam University Medical Centers, Amsterdam, Netherlands.
  • Zwan MD; Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.
  • van der Flier WM; Brain Research Center, Amsterdam, The Netherlands.
  • Sikkes SAM; Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, Amsterdam, The Netherlands.
J Int Neuropsychol Soc ; : 1-6, 2024 Mar 08.
Article en En | MEDLINE | ID: mdl-38456286
ABSTRACT

OBJECTIVE:

The Amsterdam Instrumental Activities of Daily Living Questionnaire (A-IADL-Q) is well validated and commonly used to assess difficulties in everyday functioning regarding dementia. To facilitate interpretation and clinical implementation across different European countries, we aim to provide normative data and a diagnostic cutoff for dementia.

METHODS:

Cross-sectional data from Dutch Brain Research Registry (N = 1,064; mean (M) age = 62 ± 11 year; 69.5% female), European Medial Information Framework-Alzheimer's Disease 90 + (N = 63; Mage = 92 ± 2 year; 52.4% female), and European Prevention of Alzheimer's Dementia Longitudinal Cohort Study (N = 247; Mage = 63 ± 7 year; 72.1% female) were used. The generalized additive models for location, scale, and shape framework were used to obtain normative values (Z-scores). The beta distribution was applied, and combinations of age, sex, and educational attainment were modeled. The optimal cutoff for dementia was calculated using area under receiver operating curves (AUC-ROC) and Youden Index, using data from Amsterdam Dementia Cohort (N = 2,511, Mage = 64 ± 8 year, 44.4% female).

RESULTS:

The best normative model accounted for a cubic-like decrease of IADL performance with age that was more pronounced in low compared to medium/high educational attainment. The cutoff for dementia was 1.85 standard deviation below the population mean (AUC = 0.97; 95% CI [0.97-0.98]).

CONCLUSION:

We provide regression-based norms for A-IADL-Q and a diagnostic cutoff for dementia, which help improve clinical assessment of IADL performance across European countries.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Int Neuropsychol Soc Asunto de la revista: NEUROLOGIA / PSICOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Int Neuropsychol Soc Asunto de la revista: NEUROLOGIA / PSICOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos