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Applying Generalizability Theory to Examine Assessments of Subjective Cognitive Complaints: Whose Reports Should We Rely on – Participant Versus Informant?

aut.pubs.statewith-academic
aut.relation.endpage11
aut.relation.journalInternational Psychogeriatricsen_NZ
aut.relation.startpage1
dark.contributor.authorTruong, QCen_NZ
dark.contributor.authorChoo, Cen_NZ
dark.contributor.authorNumbers, Ken_NZ
dark.contributor.authorMerkin, AGen_NZ
dark.contributor.authorBrodaty, Hen_NZ
dark.contributor.authorKochan, NAen_NZ
dark.contributor.authorSachdev, PSen_NZ
dark.contributor.authorFeigin, VLen_NZ
dark.contributor.authorMedvedev, ONen_NZ
dc.contributor.authorMedvedev, ON
dc.contributor.authorFeigin, VL
dc.contributor.authorSachdev, PS
dc.contributor.authorKochan, NA
dc.contributor.authorBrodaty, H
dc.contributor.authorMerkin, AG
dc.contributor.authorNumbers, K
dc.contributor.authorChoo, C
dc.contributor.authorTruong, QC
dc.date.accessioned2025-03-18T21:19:47Z
dc.date.available2025-03-18T21:19:47Z
dc.date.copyright2021en_NZ
dc.date.issued2021en_NZ
dc.description.abstractObjectives: 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. Design: G-theory was applied to assessment scales using longitudinal measurement design with five assessments spanning 10 years of follow-up. Setting: Community-dwelling older adults aged 70–90 years and their informants, living in Sydney, Australia, participated in the longitudinal Sydney Memory and Ageing Study. Participants: 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). Measurements: The Memory Complaint Questionnaire (MAC-Q) and the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). Results: 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. Conclusions: 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.en_NZ
dc.identifier.citationInternational Psychogeriatrics 34(12)1023-1033, December 2022. https://doi.org/10.1017/S1041610221000363
dc.identifier.doi10.1017/s1041610221000363en_NZ
dc.identifier.issn1041-6102en_NZ
dc.identifier.issn1741-203Xen_NZ
dc.identifier.urihttp://hdl.handle.net/10292/18882
dc.languageenen_NZ
dc.publisherCambridge University Press (CUP)en_NZ
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S104161022403134X?via%3Dihub
dc.rightsThis article is available under the Creative Commons CC-BY-NC-ND license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed. https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrightsOpenAccessen_NZ
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectlongitudinal design
dc.subjectgeneralizability theory
dc.subjectmental capacity
dc.subjectdementia
dc.subjectcognitive assessment
dc.subjectaging
dc.titleApplying Generalizability Theory to Examine Assessments of Subjective Cognitive Complaints: Whose Reports Should We Rely on – Participant Versus Informant?en_NZ
dc.typeJournal Article
pubs.elements-id400159
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Faculty of Health & Environmental Science
pubs.organisational-data/AUT/Faculty of Health & Environmental Science/School of Clinical Sciences
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences/HY Public Health & Psychosocial Studies 2018 PBRF

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