Evidence map›Paper›PMID 40552846›Full record

ArticleGerontology2025

Younger and Older Adults' Aging Well Construals: A Quantitative Word Use and Topics Comparison.

Valeria A Pfeifer, Kayden Jordan, Trish Davis, Matthew D Grilli, Matthias R Mehl

Abstract readComparative Study
In one paragraph

Article in Gerontology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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.

Valeria A PfeiferDepartment of Psychology, University of Arizona, Tucson, Arizona, USA.
Kayden JordanDepartment of Data Science, Harrisburg University of Science and Technology, Harrisburg, Pennsylvania, USA.
Trish DavisDepartment of Psychology, University of Arizona, Tucson, Arizona, USA.
Matthew D GrilliDepartment of Psychology, University of Arizona, Tucson, Arizona, USA.
Matthias R MehlDepartment of Psychology, University of Arizona, Tucson, Arizona, USA.

Funding

Regulatory and Human Study Operations (RHSO) Core CU19AG065169 · NIA · UNIVERSITY OF ARIZONA · PI HUENTELMAN, MATT · 2021 to 2025
$59.8M
NIA NIH HHS U19 AG065169
6 · The paper itself

Abstract

introductionIndividuals' construals of aging capture how they think of aging, and what aging well means to them. Assessing such construals is important for understanding attitudes toward aging and, ultimately, how to tailor personalized aging well interventions to an individual.

methodsWe analyzed 100 younger adults (YAs)' and 92 older adults (OAs)' spoken narratives of what aging well means to them using two language analysis approaches, closed-vocabulary, word count analysis via Linguistic Inquiry and Word Count (LIWC) and open-vocabulary, word co-occurrence analysis via topic modeling.

resultsYAs' and OAs' spoken narratives differed in both word and topic use. YAs used more words related to physical aspects, more tentative language, and expressed themselves via higher status language (clout), while OAs used authentic language, i-talk, and words related to work, home, family, and religion. Topic modeling complemented the LIWC analyses and showed that YAs primarily discussed topics of bodily and cognitive decline and strategies of preventing aging, conveying concerns about, and negative stereotypes of aging. OAs topicalized family reflections, openness to new experiences, and their social engagement, signaling a more positive outlook on (continued) aging.

conclusionOur complimentary word count and word co-occurrence language analyses of aging well construals revealed stark differences between YAs' and OAs' perceptions of aging well, which raise important questions about intergenerational exchanges and communications about aging more broadly. Further, we found that aging construals of OAs are useful for estimating their future outlook, an important aspect of resilience against cognitive decline and possible entry point for targeted precision aging interventions.

Indexed as

AgingAdultAgedAged, 80 and overFemaleHumansLanguageMaleMiddle AgedNarrationVocabularyYoung AdultAgingLanguageLinguistic Inquiry and Word CountSuccessful agingTopic modeling

Identifiers

PMID40552846
PMCPMC12191769

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.