Evidence map›Paper›PMID 40003368›Full record

ArticleInternational journal of environmental research and public health2025

A Cross-Sectional Study on the Relationship Between Social Media Use and Frailty Among the Older People in Japan.

Yuki Nakada, Yuna Seo

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 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

2 authors.

Yuki NakadaDepartment of Industrial and Engineering Systems, Graduate School of Science and Technology, Tokyo University of Science, Noda 278-8510, Chiba, Japan.
Yuna SeoDepartment of Industrial and Engineering Systems, Graduate School of Science and Technology, Tokyo University of Science, Noda 278-8510, Chiba, Japan.ORCID 0000-0002-7756-4846

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the relationship between social media use and frailty in older adults, focusing on the influence of social media engagement and various frailty-related factors. A survey was conducted with 103 participants aged 65 and above, who completed a questionnaire on their social media usage, psychological well-being, dietary habits, physical activity, sleep patterns, and social interactions. Frailty was assessed using the Kihon Checklist, categorizing participants into non-frailty, pre-frailty, and frailty groups. The analysis was conducted using ordinal logistic regression to examine the relationship between social media usage and other frailty-related factors (e.g., psychological factors, sociality, diet, and exercise) with frailty status. The findings revealed that social media engagement was significantly associated with frailty status, with higher levels of engagement linked to reduced frailty. Specifically, participants who reported higher levels of social media interaction also reported better psychological well-being, increased social interaction, and greater engagement in physical and leisure activities. These results suggest that social media use may have a positive impact on frailty, potentially by enhancing social connectivity and promoting healthier lifestyle choices in older adults. Further research is needed to explore the mechanisms through which social media can mitigate frailty and promote healthy aging.

Indexed as

Frail ElderlyFrailtySocial MediaAgedAged, 80 and overCross-Sectional StudiesExerciseFemaleHumansJapanMaleSurveys and Questionnairesfrailtyolder adultssocial connectivitysocial media use

Identifiers

PMID40003368
PMCPMC11855460

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.