Evidence map›Paper›PMID 36046636›Full record

ArticleDigital health

Use of YouTube to watch health-related videos and participation in online support groups among US adults with heart disease, diabetes, and hypertension.

Aisha T Langford, Kerli T Orellana, Nancy Buderer

Open access · goldAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Hypertensive patient's journey in Poland.BMC health services research · 2025
    Article
  6. Temporal Trends in Public Stroke Awareness in Korea, 2009 to 2023.Journal of the American Heart Association · 2025
    Article
  7. Article
  8. Article
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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

3 authors at 2 institutions in 1 country.

Aisha T LangfordDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Kerli T OrellanaDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.ORCID https://orcid.org/0000-0001-5878-6411
Nancy BudererNancy Buderer Consulting, LLC, Oak Harbor, OH, USA.ORCID https://orcid.org/0000-0002-8187-2710
New York University · USHarbage Consulting · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Social media use has grown over time. However, it is unclear how people with a self-reported history of cardiovascular disease or cardiovascular disease-related risk factors such as diabetes and hypertension use social media. Methods: Data from the 2020 Health Information National Trends Survey (HINTS 5, Cycle 4) were analyzed (N = 3865). Only respondents with complete data for all variables of interest were included in the analyses, resulting in 306 respondents with a heart condition, 1291 with hypertension, and 608 with diabetes. We explored associations between two dependent variables: (1) participated in an online forum or support group and (2) watched a health-related video on YouTube, and sociodemographic factors and patient-provider communication. Analyses were conducted separately by medical condition. Odds ratios, 95% confidence intervals, and Results: In respondents with a heart condition, hypertension, or diabetes, 5.4%, 8.4%, and 10.3% had participated in an online support group and 29.6%, 40.4%, and 36.6% had watched health-related videos on YouTube, respectively. Univariately, the odds of using online support groups was associated with younger age (vs. > = 65) in people with a heart condition and hypertension, but not diabetes. Regarding YouTube, younger age was associated with watching health-related videos across all three medical conditions, with additional gender and education associations observed in those with hypertension. There were no associations between social media use and patient-provider communication. Conclusions: These findings may inform the selection of social media platforms for behavioral interventions depending on the intended patient population and goals (e.g. social support vs. video-based health education).

Indexed as

cardiovascular diseasescommunicationdiabeteshypertensionself-reportSocial media

Identifiers

PMID36046636
PMCPMC9421017
OpenAlexW4293221223

What OpenQuestion 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 OpenQuestion graph.