Evidence map›Paper›PMID 41964825›Full record

ReviewAging clinical and experimental research2026

Exploratory research on cognitive fluency design for the older adults through Nostalgia-based empowerment.

Yingjia Zhou, Xianhua Sun

Abstract readReview
In one paragraph

Review in Aging clinical and experimental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

2 authors.

Yingjia ZhouCollege of Art and Design, Nanjing Forestry University, Nanjing, 210037, China. 1143603684@qq.com.
Xianhua SunCollege of Art and Design, Nanjing Forestry University, Nanjing, 210037, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs global aging intensifies, issues in age-friendly cultural consumption design have become increasingly apparent. Existing age-friendly designs primarily focus on simplifying functions while neglecting cognitive fluency, resulting in the current dilemma of “high demand-low adoption.” PURPOSE: To systematically validate the impact of cognitive fluency design, empowered by nostalgia, on age-friendly cultural consumption through a three-dimensional cognitive-physiological-psychological framework.

methodsExtensive literature searches and data collection were conducted across electronic databases including Web of Science, PubMed, and CNKI. This was followed by field research and interviews using questionnaire surveys. Findings were further refined through data analysis to advance research on cognitive fluency design for aging-friendly.This study is exploratory in nature, with a relatively small sample size, and the conclusions primarily provide preliminary reference and ideas for subsequent related research.

resultsFindings demonstrate that in terms of emotional activation, nostalgic design effectively triggers pleasant feelings and enhances cognitive fluency among older adults. This approach yields multifaceted benefits for their physical and mental well-being, with particularly significant effects on orientation, memory, and fluency. This intervention pathway is crucial in research on cognitive fluency in aging.

conclusionCognitive fluency design is the key variable in overcoming the ‘last mile’ of age-friendly adaptation, and it needs to be supported by nostalgia-empowerment strategies to aid contemporary age-friendly design.

Indexed as

AgingCognitionEmpowermentAgedEmotionsHumansSurveys and QuestionnairesAging-friendly designCognitive fluencyNostalgia empowerment

Identifiers

PMID41964825
PMCPMC13194278

What OpenQuestion holds

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LicenceCC BY
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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.