Applying generalizability theory to examine assessments of subjective cognitive complaints: whose reports should we rely on - participant versus informant?

aging cognitive assessment dementia generalizability theory longitudinal design mental capacity

Journal

International psychogeriatrics
ISSN: 1741-203X
Titre abrégé: Int Psychogeriatr
Pays: England
ID NLM: 9007918

Informations de publication

Date de publication:
12 2022
Historique:
pubmed: 14 4 2021
medline: 15 12 2022
entrez: 13 4 2021
Statut: ppublish

Résumé

This study aimed to apply the generalizability theory (G-theory) to investigate dynamic and enduring patterns of subjective cognitive complaints (SCC), and reliability of two widely used SCC assessment tools. G-theory was applied to assessment scales using longitudinal measurement design with five assessments spanning 10 years of follow-up. Community-dwelling older adults aged 70-90 years and their informants, living in Sydney, Australia, participated in the longitudinal Sydney Memory and Ageing Study. The sample included 232 participants aged 70 years and older, and 232 associated informants. Participants were predominantly White Europeans (97.8%). The sample of informants included 76 males (32.8%), 153 females (65.9%), and their age ranged from 27 to 86 years, with a mean age of 61.3 years (SD = 14.38). The Memory Complaint Questionnaire (MAC-Q) and the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). The IQCODE demonstrated strong reliability in measuring enduring patterns of SCC with G = 0.86. Marginally acceptable reliability of the 6-item MAC-Q (G = 0.77-0.80) was optimized by removing one item resulting in G = 0.80-0.81. Most items of both assessments were measuring enduring SCC with exception of one dynamic MAC-Q item. The IQCODE significantly predicted global cognition scores and risk of dementia incident across all occasions, while MAC-Q scores were only significant predictors on some occasions. While both informants' (IQCODE) and self-reported (MAC-Q) SCC scores were generalizable across sample population and occasions, self-reported (MAC-Q) scores may be less accurate in predicting cognitive ability and diagnosis of each individual.

Identifiants

pubmed: 33847260
pii: S1041610221000363
doi: 10.1017/S1041610221000363
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1023-1033

Commentaires et corrections

Type : CommentIn

Auteurs

Q C Truong (QC)

School of Psychology, University of Waikato, Hamilton, New Zealand.

C Choo (C)

School of Psychology, University of Waikato, Hamilton, New Zealand.

K Numbers (K)

Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia.

A G Merkin (AG)

Auckland University of Technology, Auckland, New Zealand.
Centre for Precise Psychiatry and Neurosciences, Germany/Switzerland.

H Brodaty (H)

Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia.

N A Kochan (NA)

Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia.

P S Sachdev (PS)

Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia.

V L Feigin (VL)

Auckland University of Technology, Auckland, New Zealand.

O N Medvedev (ON)

School of Psychology, University of Waikato, Hamilton, New Zealand.

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Classifications MeSH