Evidence map›Paper›PMID 23039909›Full record

ArticleJournal of the International Neuropsychological Society : JINS2012

Neuropsychological test performance and cognitive reserve in healthy aging and the Alzheimer's disease spectrum: a theoretically driven factor analysis.

Meghan B Mitchell, Lynn W Shaughnessy, Steven D Shirk, Frances M Yang, Alireza Atri

Abstract read
In one paragraph

Article in Journal of the International Neuropsychological Society : JINS, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Subjective age, depressive symptoms, and cognitive functioning across five domains.Journal of clinical and experimental neuropsychology · 2021
    Article
  6. The Cognitive Connectome in Healthy Aging.Frontiers in aging neuroscience · 2021
    Article
  7. Electrophysiological Proxy of Cognitive Reserve Index.Frontiers in human neuroscience · 2021
    Article
  8. Article
  9. Article
  10. Olfactory Dysfunction Predicts Subsequent Dementia in Older U.S. Adults.Journal of the American Geriatrics Society · 2018
    Article
  11. Latent structure of cognitive performance in the adult children study.Journal of clinical and experimental neuropsychology · 2017
    Article
  12. Article
  13. Article
  14. Article
  15. The interactive effects of age, education, and BMI on cognitive functioning.Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition · 2016
    Article
  16. Impact of Education on Memory Deficits in Subclinical Depression.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2015
    Article
  17. Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Meghan B MitchellGeriatric Research Education and Clinical Center, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, Massachusetts 01730, USA. Meghan.Mitchell2@va.gov
Lynn W Shaughnessy
Steven D Shirk
Frances M Yang
Alireza Atri

Funding

THE ROLE OF ADVANCED CAA IN ALZHEIMER'S DEMENTIAP50AG005134 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI HYMAN, BRADLEY T. · 1985 to 2018
$42.1M
Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI STEVEN E ARNOLD · 2019 to 2026
$36.5M
Modeling cholinergic modulation of fMRI memory networks in aging & MCIK23AG027171 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI ATRI, ALIREZA · 2006 to 2010
$805k
Conference on Advanced Psychometric Methods in Cognitive Aging ResearchR13AG030995 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MUNGAS, DAN M. · 2008 to 2022
$620k
NIA NIH HHS K23 AG027171NIA NIH HHS NIA 5 P50AG05134NIA NIH HHS NIA K23AG027171NIA NIH HHS P30 AG062421NIA NIH HHS P50 AG005134NIA NIH HHS R13 AG030995NIA NIH HHS R13AG030995
6 · The paper itself

Abstract

Accurate measurement of cognitive function is critical for understanding the disease course of Alzheimer's disease (AD). Detecting cognitive change over time can be confounded by level of premorbid intellectual function or cognitive reserve and lead to under- or over-diagnosis of cognitive impairment and AD. Statistical models of cognitive performance that include cognitive reserve can improve sensitivity to change and clinical efficacy. We used confirmatory factor analysis to test a four-factor model composed of memory/language, processing speed/executive function, attention, and cognitive reserve factors in a group of cognitively healthy older adults and a group of participants along the spectrum of amnestic mild cognitive impairment to AD (aMCI-AD). The model showed excellent fit for the control group (χ(2) = 100; df = 78; CFI = .962; RMSEA = .049) and adequate fit for the aMCI-AD group (χ(2) = 1750; df = 78; CFI = .932; RMSEA = .085). Although strict invariance criteria were not met, invariance testing to determine if factor structures are similar across groups yielded acceptable absolute model fits and provide evidence in support of configural, metric, and scalar invariance. These results provide further support for the construct validity of cognitive reserve in healthy and memory impaired older adults.

Indexed as

AgingFactor Analysis, StatisticalNeuropsychological TestsAgedAged, 80 and overAlzheimer DiseaseCognition DisordersFemaleHumansMaleMiddle AgedPsychiatric Status Rating Scales

Identifiers

PMID23039909
PMCPMC3600814

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.