Evidence map›Paper›PMID 40360686›Full record

ArticleScientific reports2025

Descriptive norms nudge meaningful engagement for the third age: two experimental studies.

Lixia Zhao, Jingwen Yin, Weixi Zeng

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

3 authors.

Lixia ZhaoSchool of Public Administration, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Jingwen YinSchool of Public Administration, University of Electronic Science and Technology of China, Chengdu, 611731, China. jwyin@uestc.edu.cn.
Weixi ZengSchool of Public Administration, University of Electronic Science and Technology of China, Chengdu, 611731, China. Zeng1982@uestc.edu.cn.

Funding

the National Social Science Funds Project of China 23BSH157the Philosophy and Social Science Funds Project of Sichuan Province SCJJ23ND218
6 · The paper itself

Abstract

Meaningful engagement of older adults in social activities is seen as a key area for active aging and a core element of healthy aging. This study aims to refine the understanding of how social norms can nudge social participation of older adults and explore the mechanisms and applicable boundaries of descriptive norms on Third Age social participation. Through an online platform survey, Study 1 (N = 175) found that descriptive norms have a positive impact on older individuals' participation in volunteer activities, with self-efficacy playing an important mediating role between descriptive norms and the willingness to participate. Study 2 (N = 526), implemented via a 2 × 2 between-subjects experimental design, indicated an interaction between descriptive norms and perceived subjective age. Individuals with a higher perceived subjective age are more influenced by descriptive norms, which boosts self-efficacy and, consequently, their willingness to participate. In conclusion, this study discusses the connections between descriptive norms, self-efficacy, subjective age, and volunteer participation, while providing empirical insights into the psychological mechanisms that nudge active aging. These findings are valuable for policy design and communication focused on fostering age-friendly societies.

Indexed as

AgingHealthy AgingSocial NormsSocial ParticipationAgedAged, 80 and overFemaleHumansMaleMiddle AgedSelf EfficacySurveys and QuestionnairesVolunteersHealthy agingSelf-efficacySocial normsSocial participation of older adultsSubjective age

Identifiers

PMID40360686
PMCPMC12075833

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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.