Literature DB >> 33393797

Functional reserve: The residual variance in instrumental activities of daily living not explained by brain structure, cognition, and demographics.

A Zarina Kraal1, Lauren Massimo2, Evan Fletcher3, Carmen I Carrión4, Luis D Medina5, Dan Mungas3, Brandon E Gavett6, Sarah Tomazewski Farias3.   

Abstract

OBJECTIVE: Cognitive reserve is a concept that explains individual differences in resilience to brain pathology and susceptibility to poor late-life cognitive outcomes. We evaluate the analogous concept of "Functional Reserve," defined as the difference between observed functional abilities and those predicted by brain structure, cognitive performance, and demographics. This study aims to validate the construct of functional reserve by testing its utility in predicting clinical outcomes and exploring its predictors.
METHOD: Longitudinal data collected annually for up to 7 years from 1,084 older adults (ndementia = 163; nMCI = 333; nCN = 523) were analyzed. Functional reserve was operationalized as the residual variance in the Lawton-Brody Instrumental Activities of Daily Living (IADL) Scale after accounting for demographics (sex/gender, race, ethnicity, education), neuropathology (gray matter, hippocampal, and white matter hyperintensity volumes), and cognition (executive function, verbal episodic memory, semantic memory, and spatial function). Structural equation models estimated (a) functional reserve's associations with 7-year changes in clinical diagnosis and disease severity and (b) predictors of functional reserve.
RESULTS: Functional reserve was lower in dementia versus cognitively normal individuals. Higher baseline functional reserve was associated with lower concurrent dementia severity and slower clinical progression and attenuated the association of cognition with concurrent dementia severity. Physical function and apathy were the strongest predictors of functional reserve.
CONCLUSIONS: Results provide preliminary validation of functional reserve for explaining individual differences in susceptibility to IADL dysfunction independent of neuropathology, cognition, and demographics. Physical functioning and apathy are promising modifiable intervention targets to enhance functional reserve in the context of brain atrophy and cognitive decline. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Entities:  

Mesh:

Year:  2021        PMID: 33393797      PMCID: PMC8753970          DOI: 10.1037/neu0000705

Source DB:  PubMed          Journal:  Neuropsychology        ISSN: 0894-4105            Impact factor:   3.295


  76 in total

1.  Spanish and English Neuropsychological Assessment Scales (SENAS): further development and psychometric characteristics.

Authors:  Dan Mungas; Bruce R Reed; Paul K Crane; Mary N Haan; Hector González
Journal:  Psychol Assess       Date:  2004-12

2.  Cognitive reserve predicts future executive function decline in older adults with Alzheimer's disease pathology but not age-associated pathology.

Authors:  Cathryn McKenzie; Romola S Bucks; Michael Weinborn; Pierrick Bourgeat; Olivier Salvado; Brandon E Gavett
Journal:  Neurobiol Aging       Date:  2020-01-03       Impact factor: 4.673

3.  Cognitive correlates of functional performance in older adults: comparison of self-report, direct observation, and performance-based measures.

Authors:  Maureen Schmitter-Edgecombe; Carolyn Parsey; Diane J Cook
Journal:  J Int Neuropsychol Soc       Date:  2011-06-27       Impact factor: 2.892

4.  Brain volume change and cognitive trajectories in aging.

Authors:  Evan Fletcher; Brandon Gavett; Danielle Harvey; Sarah Tomaszewski Farias; John Olichney; Laurel Beckett; Charles DeCarli; Dan Mungas
Journal:  Neuropsychology       Date:  2018-03-01       Impact factor: 3.295

5.  Impact of loss of independence in basic activities of daily living on caregiver burden in patients with Alzheimer's disease: A retrospective cohort study.

Authors:  Rika Kawaharada; Taiki Sugimoto; Naoka Matsuda; Yamato Tsuboi; Takashi Sakurai; Rei Ono
Journal:  Geriatr Gerontol Int       Date:  2019-10-22       Impact factor: 2.730

6.  Independence of changes in behavior from cognition and function in community-dwelling persons with Alzheimer's disease: a factor analytic approach.

Authors:  Rochelle E Tractenberg; Myron F Weiner; Jeffrey L Cummings; Marian B Patterson; Leon J Thal
Journal:  J Neuropsychiatry Clin Neurosci       Date:  2005       Impact factor: 2.198

7.  Brain behavior relationships among African Americans, whites, and Hispanics.

Authors:  Charles DeCarli; Bruce R Reed; William Jagust; Oliver Martinez; Mario Ortega; Dan Mungas
Journal:  Alzheimer Dis Assoc Disord       Date:  2008 Oct-Dec       Impact factor: 2.703

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

Authors:  Sarah Tomaszewski Farias; Jason Gravano; Alyssa Weakley; Maureen Schmitter-Edgecombe; Danielle Harvey; Dan Mungas; Michelle Chan; Tania Giovannetti
Journal:  J Int Neuropsychol Soc       Date:  2019-10-31       Impact factor: 2.892

9.  Personality and longevity: knowns, unknowns, and implications for public health and personalized medicine.

Authors:  Benjamin P Chapman; Brent Roberts; Paul Duberstein
Journal:  J Aging Res       Date:  2011-07-10

Review 10.  How does it STAC up? Revisiting the scaffolding theory of aging and cognition.

Authors:  Patricia A Reuter-Lorenz; Denise C Park
Journal:  Neuropsychol Rev       Date:  2014-08-21       Impact factor: 7.444

View more
  2 in total

1.  Evidence for neuropsychological health disparities in Black Americans with HIV disease.

Authors:  Jennifer L Thompson; Ilex Beltran-Najera; Briana Johnson; Yenifer Morales; Steven Paul Woods
Journal:  Clin Neuropsychol       Date:  2021-07-10       Impact factor: 3.535

2.  Combined effects of older age and HIV disease on changes in everyday functioning over one year.

Authors:  Jennifer L Thompson; Steven Paul Woods; Luis D Medina; Troy A Webber
Journal:  J Neurovirol       Date:  2022-01-03       Impact factor: 2.643

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.