Evidence map›Paper›PMID 32609841›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2020

Demographic Effects on Longitudinal Semantic Processing, Working Memory, and Cognitive Speed.

Jet M J Vonk, Eve Higby, Alexandre Nikolaev, Dalia Cahana-Amitay, Avron Spiro, Martin L Albert, Loraine K Obler

Abstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Investigating cognition in midlife.Alzheimer's & dementia (New York, N. Y.) · 2021
    Article
  7. Article
  8. 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

7 authors.

Jet M J VonkTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University Irving Medical Center, New York, New York.
Eve HigbyDepartment of Speech, Language, and Hearing Sciences, California State University, East Bay, Hayward.
Alexandre NikolaevHelsinki Collegium for Advanced Studies, University of Helsinki, Finland.
Dalia Cahana-AmitayDepartment of Neurology, Boston University School of Medicine, Massachusetts.
Avron SpiroVeterans Affairs Boston Healthcare System, Massachusetts.
Martin L AlbertDepartment of Neurology, Boston University School of Medicine, Massachusetts.
Loraine K OblerThe Graduate Center of the City University of New York.

Funding

LANGUAGE IN THE AGING BRAINR01AG014345 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI ALBERT, MARTIN L, OBLER, LORAINE K. · 1997 to 2015
$5.4M
NIA NIH HHS R01 AG014345
6 · The paper itself

Abstract

objectivesTo better understand and compare effects of aging and education across domains of language and cognition, we investigated whether (a) these domains show different associations with age and education, (b) these domains show similar patterns of age-related change over time, and (c) education moderates the rate of decline in these domains.

methodWe analyzed data from 306 older adults aged 55-85 at baseline of whom 116 returned for follow-up 4-8 years later. An exploratory factor analysis identified domains of language and cognition across a range of tasks. A confirmatory factor analysis analyzed cross-sectional associations of age and education with these domains. Subsequently, mixed linear models analyzed longitudinal change as a function of age and moderation by education.

resultsWe identified 2 language domains, that is, semantic control and semantic memory efficiency, and 2 cognitive domains, that is, working memory and cognitive speed. Older age negatively affected all domains except semantic memory efficiency, and higher education positively affected all domains except cognitive speed at baseline. In language domains, a steeper age-related decline was observed after age 73-74 compared to younger ages, while cognition declined linearly with age. Greater educational attainment did not protect the rate of decline over time in any domain. DISCUSSION: Separate domains show varying effects of age and education at baseline, language versus cognitive domains show dissimilar patterns of age-related change over time, and education does not moderate the rate of decline in these domains. These findings broaden our understanding of age effects on cognitive and language abilities by placing observed age differences in context.

Indexed as

AgingCognitionCognitive AgingEducational StatusExecutive FunctionMemory, Short-TermSemanticsAgedDemographyFactor Analysis, StatisticalFemaleHumansMaleMental ProcessesMiddle AgedSpeech Production MeasurementAgingCognitionFactor analysisLanguageTrajectory

Identifiers

PMID32609841
PMCPMC7759739

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LicenceCC BY
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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.