Evidence map›Paper›PMID 42687965›Full record

ArticleResearch square2026

Association between Internet Use for Health Information and Self-reported Alzheimer's Disease Diagnosis among Older Adults in the United States: Racial and Gender Disparities.

Henry M Zeidan, Gulzar H Shah, Iman H Zeidan, Hani M Samawi, Jeffery A Jones

Abstract readPreprint
In one paragraph

Article in Research square, 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

5 authors.

Henry M ZeidanJiann-Ping Hsu College of Public Health, Georgia Southern University.
Gulzar H ShahJiann-Ping Hsu College of Public Health, Georgia Southern University.
Iman H ZeidanMcLaren Health Care, Central Michigan University.
Hani M SamawiJiann-Ping Hsu College of Public Health, Georgia Southern University.
Jeffery A JonesJiann-Ping Hsu College of Public Health, Georgia Southern University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Alzheimer's disease (AD) disproportionately affects racial and ethnic minority populations, reflecting broader inequities in access to diagnosis, treatment, and long-term care. As digital health technologies become increasingly widespread, understanding whether internet use for health information is associated with Alzheimer's disease diagnosis may inform strategies to address disparities in aging populations. Aim: This study examined the association between internet use for health or medical information and AD diagnosis among older adults in the United States and assessed whether this association varied by race/ethnicity, gender, and socioeconomic status. Subject and Methods: Data were drawn from Round 13 (2024) of the National Health and Aging Trends Study, a nationally representative survey of adults aged 65 years and older. Internet use for health information was assessed via self-report, binary and multivariable logistic regression models estimated adjusted odds ratios for AD diagnosis, controlling for sociodemographic characteristics. Results: Internet use for health information was significantly associated with Alzheimer's disease diagnosis. Stratified analyses by race/ethnicity and gender showed consistent patterns, although no statistically significant interaction effects were observed. Conclusion: These findings suggest that digital health engagement is associated with Alzheimer's disease diagnosis among older adults and underscore the importance of equitable and culturally responsive access to digital health resources to address persistent disparities in cognitive aging.

Indexed as

agingAlzheimer’s diseasedigital healthhealth equityinternet usepublic healthracial and ethnic disparitiessocioeconomic status

Identifiers

PMID42687965
PMCPMC13532732

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.