The Everyday Compensation (EComp) Questionnaire: Construct Validity and Associations with Diagnosis and Longitudinal Change in Cognition and Everyday Function in Older Adults.


Journal

Journal of the International Neuropsychological Society : JINS
ISSN: 1469-7661
Titre abrégé: J Int Neuropsychol Soc
Pays: England
ID NLM: 9503760

Informations de publication

Date de publication:
03 2020
Historique:
pubmed: 2 11 2019
medline: 1 6 2021
entrez: 1 11 2019
Statut: ppublish

Résumé

The Everyday Compensation scale (EComp) is an informant-rated questionnaire designed to measure cognitively based compensatory strategies that support both everyday memory and executive function in the context of completing instrumental activities of daily living (IADLs). Although previous findings provided early support for the usefulness of the initial version of EComp, the current paper further describes the development, refinement, and validation of EComp as a new assessment tool of compensation for IADLs. Confirmatory factor analysis (CFA) was used to examine its factor structure. Convergent and predictive validity was evaluated by examining the relationship between EComp and markers of disease, including diagnosis, cognitive change, and trajectories of functional abilities. CFA supported a general compensation factor after accounting for variance attributable to IADL domain-specific engagement. The clinical groups differed in compensatory strategy use, with those with dementia using significantly fewer compensatory strategies as compared to individuals with normal cognition or mild cognitive impairment. Greater levels of compensation were related to better cognitive functions (memory and executive function) and functional abilities, as well as slower rates of cognitive and functional decline over time. Importantly, higher levels of compensation were associated with less functional difficulties and subsequently slower rate of functional decline independent of the level of cognitive impairment. Engagement in compensatory strategies among older adults has important implications for prolonging functional independence, even in those with declining cognitive functioning. Results suggest that the revised EComp is likely to be useful in measuring cognitively based compensation in older adults.

Identifiants

pubmed: 31668159
pii: S135561771900119X
doi: 10.1017/S135561771900119X
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

303-313

Auteurs

Sarah Tomaszewski Farias (S)

Neurology, University of California Davis, Sacramento, CA, USA.

Jason Gravano (J)

Neurology, University of California, San Francisco, Fresno, CA, USA.

Alyssa Weakley (A)

Neurology, University of California Davis, Sacramento, CA, USA.

Maureen Schmitter-Edgecombe (M)

Psychology, Washington State University, Pullman, WA, USA.

Danielle Harvey (D)

Division of Biostatistics, Public Health Sciences, University of California Davis, Sacramento, CA, USA.

Dan Mungas (D)

Neurology, University of California Davis, Sacramento, CA, USA.

Michelle Chan (M)

Neurology, University of California Davis, Sacramento, CA, USA.

Tania Giovannetti (T)

Psychology, Temple University, Philadelphia, PA, USA.

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