Evidence map›Paper›PMID 40620917›Full record

ArticleFrontiers in psychology2025

Digital interaction and active aging: the impact of social media use on physical activity behavior mediated by social capital and self-efficacy.

Jian Liu, Chaoxin Wang, Zhanpeng Meng, Chuanwen Yu

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

4 authors.

Jian LiuCollege of Physical Education and Health, Heze University, Heze, China.
Chaoxin WangCollege of Physical Education and Health, Heze University, Heze, China.
Zhanpeng MengCollege of Physical Education, Shandong Normal University, Jinan, China.
Chuanwen YuCollege of Physical Education and Health, Heze University, Heze, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Social media use has been linked to higher physical activity levels in older adults, but the mechanisms underlying this connection are not yet well understood. Emerging evidence suggests that social capital may act as a mediator, though little research has explored whether specific dimensions of social capital and self-efficacy mediate this relationship. Objective: This study investigates how social media usage influences older adults' physical activity behavior, focusing on the mediating roles of social capital-structural, bonding, and bridging-and self-efficacy. The goal is to provide a foundation for strategies to promote physical activity in this population. Methods: A cross-sectional survey was conducted between December 2023 and April 2024 involving 519 social media users (275 male and 244 female). Data were gathered using validated scales for social media usage intensity, physical activity levels (PARS-3), social capital, and self-efficacy. Structural equation modeling (SEM) was applied to examine the relationships between these variables and the mediating effects at play. Results: Older adults who engaged more actively with social media exhibited higher physical activity behavior ( Conclusion: Social media use fosters physical activity in older adults by building social capital, mainly structural, bonding, and bridging types, and boosting self-efficacy. Enhancing the social media environment, developing social capital, and supporting self-efficacy are vital strategies for promoting physical activity in this group. The cross-sectional design of this study is a limitation, and future longitudinal research is needed to understand the causal relationships better.

Indexed as

older adultsphysical activity behaviorself-efficacysocial capitalsocial media

Identifiers

PMID40620917
PMCPMC12226501

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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.