dc.contributor.author | Truong, Quoc Cuong | en_NZ |
dc.contributor.author | Choo, Carol C. | en_NZ |
dc.contributor.author | Numbers, Katya | en_NZ |
dc.contributor.author | Merkin, Alexander G. | en_NZ |
dc.contributor.author | Brodaty, Henry | en_NZ |
dc.contributor.author | Kochan, Nicole A. | en_NZ |
dc.contributor.author | Sachdev, Perminder S. | en_NZ |
dc.contributor.author | Feigin, Valery L. | en_NZ |
dc.contributor.author | Medvedev, Oleg N. | en_NZ |
dc.coverage.spatial | England | en_NZ |
dc.date.accessioned | 2021-05-06T03:07:30Z | |
dc.date.available | 2021-05-06T03:07:30Z | |
dc.date.issued | 2021 | en_NZ |
dc.identifier.citation | Truong, Q. C., Choo, C. C., Numbers, K., Merkin, A. G., Brodaty, H., Kochan, N. A., … Medvedev, O. N. (2021). Applying generalizability theory to examine assessments of subjective cognitive complaints: whose reports should we rely on - participant versus informant? International Psychogeriatrics, 1–11. https://doi.org/10.1017/S1041610221000363 | en |
dc.identifier.uri | https://hdl.handle.net/10289/14289 | |
dc.description.abstract | OBJECTIVES: 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.format.mimetype | application/pdf | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en_NZ |
dc.publisher | Cambridge University Press | |
dc.rights | This article has been published in a revised form in International psychogeriatrics http://doi.org/10.1017/S1041610221000363. This version is published under a Creative Commons CC-BY-NC-ND. No commercial re-distribution or re-use allowed. Derivative works cannot be distributed. © International Psychogeriatric Association. | |
dc.subject | Aging | en_NZ |
dc.subject | Cognitive assessment | en_NZ |
dc.subject | Dementia | en_NZ |
dc.subject | Generalizability theory | en_NZ |
dc.subject | Longitudinal design | en_NZ |
dc.subject | Mental capacity | en_NZ |
dc.title | Applying generalizability theory to examine assessments of subjective cognitive complaints: whose reports should we rely on - participant versus informant? | en_NZ |
dc.type | Journal Article | |
dc.identifier.doi | 10.1017/S1041610221000363 | en_NZ |
dc.relation.isPartOf | International psychogeriatrics | en_NZ |
pubs.begin-page | 1 | |
pubs.elements-id | 260391 | |
pubs.end-page | 11 | |
pubs.publication-status | Published online | en_NZ |
dc.identifier.eissn | 1741-203X | en_NZ |