Evidence map›Paper›PMID 40966679›Full record

ArticleJMIR aging2025

The Dual Impact of Time and Content Exposure of Social Media on Diabetes Self-Management in Older Adults: Cross-Sectional Study.

Qingyuan Ye, Ruiyang Xu, Li Li, Meng Zhao, Shan Wang, Sijing Peng, Si Chen, Fatema Ahmed, Chen Wu, Kefang Wang

Abstract read
In one paragraph

Article in JMIR aging, 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

10 authors.

Qingyuan YeSchool of Nursing and Rehabilitation, Shandong University, Jinan, China.ORCID https://orcid.org/0009-0006-9396-5363
Ruiyang XuSchool of Nursing and Rehabilitation, Shandong University, Jinan, China.ORCID https://orcid.org/0000-0002-0269-4603
Li LiSchool of Nursing and Rehabilitation, Shandong University, Jinan, China.ORCID https://orcid.org/0009-0009-9137-9127
Meng ZhaoSchool of Nursing and Rehabilitation, Shandong University, Jinan, China.ORCID https://orcid.org/0000-0002-2813-1112
Shan WangSchool of Nursing and Rehabilitation, Shandong University, Jinan, China.ORCID https://orcid.org/0000-0002-1673-248X
Sijing PengSchool of Nursing, Anhui University of Chinese Medicine, Hefei, China.ORCID https://orcid.org/0000-0002-5069-5029
Si ChenSchool of Nursing and Rehabilitation, Shandong University, Jinan, China.ORCID https://orcid.org/0000-0002-6041-1528
Fatema AhmedSchool of Nursing and Rehabilitation, Shandong University, Jinan, China.ORCID https://orcid.org/0000-0003-4144-812X
Chen Wu *School of Nursing and Rehabilitation, Shandong University, Jinan, China.ORCID https://orcid.org/0000-0003-2721-2487
Kefang Wang *School of Nursing and Rehabilitation, Shandong University, Jinan, China.ORCID https://orcid.org/0000-0003-2985-6593

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-management is critical for older adults with type 2 diabetes mellitus (T2DM); however, its practice remains suboptimal. Social media has become an accessible and effective stimulus source for the public, which has the potential to promote health behaviors, but its effect on the self-management of older adults with T2DM remains unknown.

objectiveWe aimed to investigate the relationship between social media exposure, specifically time exposure and content exposure, and the self-management of older adults with T2DM.

methodsIn this cross-sectional study, we enrolled 257 older adults with T2DM who used short-form video apps from community health care centers. We assessed subjective and objective time and content exposure. We transformed text-based content exposure into diabetes-related content exposure encompassing irrelevant, harmful, hypobeneficial, and hyperbeneficial categories using Q-methodology. Self-management was assessed through a validated questionnaire. We used restricted cubic splines and linear regression models to model the relationships between time exposure and content exposure and self-management, respectively.

resultsOf 257 older adults with T2DM, the median age was 69 (IQR 65-72) years, 53.3% (n=137) were women, the mean sum score of self-management was 35.7 (SD 10.4), the median subjective time exposure was 120 (IQR 60-120) minutes, and 61.1% (n=157) of them were exposed to hyperbeneficial content. There was an approximate L-shaped dextrorotatory relationship between time exposure and self-management, with a decline in self-management when time exposure surpassed 139.8 minutes daily. Exposure to hyperbeneficial content was positively associated with the overall self-management (B=3.46, 95% CI 0.71-6.21). For participants exposed for more than 139.8 minutes daily, this positive association remained robust (B=7.27, 95% CI 1.54-13.00). In subdimensional analyses, hyperbeneficial content exposure was positively associated with general diet (B=1.51, 95% CI 0.54-2.49) and blood glucose testing (B=1.31, 95% CI 0.25-2.38).

conclusionsSocial media exposure presented a double-edged sword for self-management of older adults with T2DM. Self-management declined when the daily time spent on social media exceeded 139.8 minutes. However, exposure to hyperbeneficial content was associated with better self-management of individuals, regardless of excessive time spent on social media. Future longitudinal and experimental studies that validate the multifaceted association between social media exposure and health behaviors are needed. If confirmed, these findings would support the implementation of media prescription programs by health care providers in communities.

Indexed as

Diabetes Mellitus, Type 2Self-ManagementSocial MediaAgedCross-Sectional StudiesFemaleHumansMaleSurveys and QuestionnairesTime Factorsmedia exposureolder adultsself-managementsocial mediatype 2 diabetes mellitus

Identifiers

PMID40966679
PMCPMC12491892

What Socratic holds

Textmetadata
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 Socratic graph.