Evidence map›Paper›PMID 40950505›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Digital Divide or Educational Divide? The Impact of Social Media on COVID-19 Vaccination in Middle-Aged and Older Adults.

Mason Dupre, Truls Østbye, Teah M Bayless, Hanzhang Xu

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

4 authors.

Mason DupreCary Academy, Cary, NC.
Truls ØstbyeDepartment of Family Medicine and Community Health, Duke University, Durham, NC.ORCID 0000-0002-0662-7440
Teah M BaylessDepartment of Family Medicine and Community Health, Duke University, Durham, NC.
Hanzhang XuDuke University School of Nursing, Duke University, Durham, NC.ORCID 0000-0001-9617-247X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spread of disinformation and harmful content on social media is well-known. However, most research focuses on the negative influence of social media on the well-being of adolescents and teenagers. We used data from the 2022 Health and Retirement Study (n=4,038) to examine how the use of social media (i.e., Facebook, Twitter [X], and Instagram) was associated with vaccination uptake for Covid-19 among U.S. middle-aged and older adults. Frequency of social media use was measured on a scale ranging from 0=never to 5=daily. In our study (mean (SD) age: 69.4 (9.7) years), approximately 35.9% of participants used social media daily while 34.3% never did. Multivariable logistic regression models showed that social media use was not directly associated with Covid-19 vaccination. However, there was a significant interaction between social media use and educational attainment. Among adults who frequently used social media, those with low education were significantly less likely to be vaccinated for Covid-19 compared to their more educated counterparts (

Identifiers

PMID40950505
PMCPMC12424893

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.