Evidence map›Paper›PMID 42656527›Full record

ArticleFrontiers in digital health2026

Political ideology, sociodemographic factors, and social media health information engagement among U.S. adults: evidence from HINTS 2024.

Jingjing Gao, Jason H Windett

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. 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.

Jingjing GaoDepartment of Management, Policy, and Community Health, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, United States.
Jason H WindettPublic Policy Ph.D. Program, Department of Political Science and Public Administration, School of Data Science, University of North Carolina at Charlotte, Charlotte, NC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Social media platforms have become increasingly important sources of health-related information for the U.S. public. At the same time, political polarization and sociodemographic inequalities may be associated with how individuals engage with health information on digital platforms. Understanding the relationship between political ideology, socioeconomic factors, and social media health information engagement has important implications for digital public health communication and health equity. Objective: This study examined associations between political ideology, sociodemographic characteristics, and multiple dimensions of social media health information engagement among U.S. adults using nationally representative Health Information National Trends Survey (HINTS) 2024 data. Methods: Cross-sectional nationally representative data from HINTS 2024 were analyzed. Five dimensions of social media engagement were examined, including social media visitation, sharing personal content, sharing general content, interacting with others online, and watching videos on social media platforms. An overall social media engagement index was constructed using the row mean of these measures. Multivariable linear regression analyses were conducted to evaluate associations between political ideology, demographic and socioeconomic characteristics, and social media engagement behaviors. Results: Age was consistently and negatively associated with all dimensions of social media engagement, including social media visitation ( Conclusion: Sociodemographic factors, particularly age, education, and race and ethnicity, were strongly associated with social media health information engagement among U.S. adults. Political ideology demonstrated smaller but meaningful associations with selected digital engagement behaviors. These findings highlight important digital public health disparities in how individuals engage with health-related content on social media platforms.

Indexed as

digital dividedigital healthdigital public healthhealth communicationhealth informationHINTSpolitical ideologypublic health

Identifiers

PMID42656527
PMCPMC13506685

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.