Evidence map›Paper›PMID 29051137›Full record

ArticleInteractive journal of medical research2017

Alzheimer's Disease in Social Media: Content Analysis of YouTube Videos.

Weizhou Tang, Kate Olscamp, Seul Ki Choi, Daniela B Friedman

Open access · goldAbstract read
In one paragraph

Article in Interactive journal of medical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Video clips of the Mediterranean Diet on YouTubeAmerican journal of health promotion : AJHP · 2023
    Article
  6. Barriers to Online Dementia Information and Mitigation.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2022
    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

4 authors at 1 institution in 1 country.

Weizhou TangCollege of Social Work, University of South Carolina, Columbia, SC, United States.ORCID http://orcid.org/0000-0001-7533-7503
Kate OlscampArnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, SC, United States.ORCID http://orcid.org/0000-0003-2931-9915
Seul Ki ChoiArnold School of Public Health, Department of Health Promotion, Education, and Behavior, University of South Carolina, Columbia, SC, United States.ORCID http://orcid.org/0000-0002-3330-3652
Daniela B FriedmanArnold School of Public Health, Department of Health Promotion, Education, and Behavior, University of South Carolina, Columbia, SC, United States.ORCID http://orcid.org/0000-0002-9359-093X
University of South Carolina · US

Funding

ACL HHS U48DP005000
6 · The paper itself

Abstract

backgroundApproximately 5.5 million Americans are living with Alzheimer's disease (AD) in 2017. YouTube is a popular platform for disseminating health information; however, little is known about messages specifically regarding AD that are being communicated through YouTube.

objectiveThis study aims to examine video characteristics, content, speaker characteristics, and mobilizing information (cues to action) of YouTube videos focused on AD.

methodsVideos uploaded to YouTube from 2013 to 2015 were searched with the term "Alzheimer's disease" on April 30th, 2016. Two coders viewed the videos and coded video characteristics (the date when a video was posted, Uniform Resource Locator, video length, audience engagement, format, author), content, speaker characteristics (sex, race, age), and mobilizing information. Descriptive statistics were used to examine video characteristics, content, audience engagement (number of views), speaker appearances in the video, and mobilizing information. Associations between variables were examined using Chi-square and Fisher's exact tests.

resultsAmong the 271 videos retrieved, 25.5% (69/271) were posted by nonprofit organizations or universities. Informal presentations comprised 25.8% (70/271) of all videos. Although AD symptoms (83/271, 30.6%), causes of AD (80/271, 29.5%), and treatment (76/271, 28.0%) were commonly addressed, quality of life of people with AD (34/271, 12.5%) had more views than those more commonly-covered content areas. Most videos featured white speakers (168/187, 89.8%) who were adults aged 20 years to their early 60s (164/187, 87.7%). Only 36.9% (100/271) of videos included mobilizing information. Videos about AD symptoms were significantly less likely to include mobilizing information compared to videos without AD symptoms (23/83, 27.7% vs 77/188, 41.0% respectively; P=.03).

conclusionsThis study contributes new knowledge regarding AD messages delivered through YouTube. Findings of the current study highlight a potential gap between available information and viewers' interests. YouTube videos on AD could be beneficial if the messages delivered meet users' needs and provide mobilizing information for further resources. Study findings will be useful to government agencies, researchers, nonprofit organizations that promote information about AD, and those responsible for social media to provide useful and accurate health information for the public.

Indexed as

Alzheimer’s diseasecontent analysisvideosYouTube

Identifiers

PMID29051137
PMCPMC5668636
OpenAlexW2766075374

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.