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Clinical Manifestations.

Zara A Page1, Karen Croot1, Ben C P Lam2,3

  • 1Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, NSW, Australia.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
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PubMed
Summary
This summary is machine-generated.

A new questionnaire, the Characterising Language Experience and Acculturation Questionnaire (CLEAr-Q), was developed to assess linguistic and acculturation variables in older adults from culturally and linguistically diverse (CALD) backgrounds. Its four-factor structure provides a comprehensive tool for improving cognitive assessments in this population.

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Area of Science:

  • Neuropsychology
  • Psychometrics
  • Sociolinguistics

Background:

  • Cognitive performance is influenced by linguistic and acculturation variables.
  • Accurate cognitive assessment of older adults from culturally and linguistically diverse (CALD) backgrounds requires tailored measures.
  • Existing measures may not adequately capture these variables in an Australian context.

Purpose of the Study:

  • To develop and validate a new measure, the Characterising Language Experience and Acculturation Questionnaire (CLEAr-Q).
  • To determine the underlying factor structure of linguistic and acculturation variables in an Australian CALD sample.
  • To inform the development of improved cognitive assessment tools for CALD populations.

Main Methods:

  • Development of the CLEAr-Q using an adapted participatory research framework with CALD community consultation.
  • Administration of an online, anonymous survey comprising 31 items.
  • Exploratory Factor Analysis (EFA) with oblique rotation (geomin) to identify the factor structure.

Main Results:

  • The validation sample comprised 256 participants (aged 60-93) born outside Australia with a Language Other Than English (LOTE).
  • EFA revealed a robust four-factor solution: Educational Exposure to English, English Proficiency and Identification with Majority Culture, Dominance of English Language and Culture, and Language Switching.
  • This four-factor model explained 58.9% of the variance and demonstrated good fit to the data (CFI=0.98, SRMR=0.07).

Conclusions:

  • The CLEAr-Q effectively characterizes linguistic and acculturation diversity within an Australian CALD sample.
  • The identified factor structure highlights the interconnectedness of linguistic and acculturation variables.
  • This comprehensive tool is essential for understanding the impact of cultural and linguistic diversity on cognitive assessment, potentially improving diagnostic accuracy for dementia and cognitive impairment in older CALD adults.