Evidence map›Paper›PMID 41021479›Full record

ArticlePsychology and aging2026

Preserved context sensitivity in language production: Lexical differentiation in older adults.

Si On Yoon, Abigayle Shekleton, Daphna Heller

Abstract read
In one paragraph

Article in Psychology and aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Si On YoonDepartment of Communicative Sciences and Disorders, New York University.ORCID 0000-0001-6715-4598
Abigayle ShekletonDepartment of Communication Sciences and Disorders, University of Iowa.
Daphna HellerDepartment of Linguistics, University of Toronto.

Funding

University of Iowa Institute for Clinical and Translational ScienceUM1TR004403 · NCATS · UNIVERSITY OF IOWA · PI Marlan R Hansen, Patricia Winokur · 2023 to 2026
$16.1M
Understanding Social Communication Abilities in Individuals with Alzheimer's DiseaseR03AG072236 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI HARKRIDER, ASHLEY W · 2021 to 2022
$319k
National Institutes of Health; National Center for Advancing Translational SciencesNational Institutes of Health; National Institute on AgingNCATS NIH HHS UM1 TR004403NIA NIH HHS R03 AG072236
6 · The paper itself

Abstract

Aging is often associated with cognitive decline, particularly in memory, which can impact language production. However, older adults (OA) do not exhibit a decline in crystallized intelligence, which reflects accumulated knowledge and expertise. The present study focuses on the referential phenomenon of lexical differentiation: When speakers refer to an object after earlier referring to a different exemplar from the same category, younger speakers sometimes use modified expressions (e.g., "the open umbrella") even though the earlier referent is no longer visible. We examine two hypotheses regarding lexical differentiation in older adults: the memory-based view that predicts less lexical differentiation in older adults due to memory decline, and the communication-based view that predicts equal or more lexical differentiation in older adults due to communicative and linguistic expertise. Results show that older adults produced similar levels of lexical differentiation (when considering all modifiers) and more lexical differentiation than younger adults (when focusing on prenominal modification), supporting the communication-based view. In addition, older adults produced more postnominal modifiers, which do not require early planning. These results highlight the adaptability of older adults in language production and provide new insights into how aging influences context-sensitive language use. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Indexed as

AgingLanguagePsycholinguisticsSpeechAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedYoung Adult

Identifiers

PMID41021479
PMCPMC12494165

What OpenQuestion holds

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Registered trials

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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.