Evidence map›Paper›PMID 30931593›Full record

ArticleJournal of diabetes science and technology2019

Social Media Content Analysis of Public Diabetes Facebook Groups.

Michael Stellefson, Samantha Paige, Avery Apperson, Susannah Spratt

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  15. Making Diabetes Care Fit-Are We Making Progress?Frontiers in clinical diabetes and healthcare · 2021
    Article
  16. Observational
  17. Moving Beyond the Gym: A Content Analysis of YouTube as an Information Resource for Physical Literacy.International journal of environmental research and public health · 2019
    Article
  18. Article
  19. Review
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.

Michael Stellefson1 East Carolina University, Greenville, NC, USA.
Samantha Paige2 University of Florida, Gainesville, FL, USA.
Avery Apperson1 East Carolina University, Greenville, NC, USA.
Susannah Spratt1 East Carolina University, Greenville, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRelatively little is known about how Facebook groups are used to facilitate diabetes self-management support. This study provides a critical analysis of public diabetes Facebook groups and their content.

methodsTwo trained researchers independently identified 34 public Facebook diabetes groups. A coding and classification scheme was applied to the 20 most recent "wall posts" within 15 of the 34 (44.1%) largest groups (n = 300 posts). Nonparametric Mann-Whiney U tests examined differences in group characteristics between groups with more (active) and less (inactive) than 50 posts in the past month. Multivariable logistic regressions evaluated associations between group purpose, post types, membership (engagement leader vs regular user), and modality.

resultsWe identified 193 458 members of the 34 largest diabetes Facebook groups (Mdn size = 3124 members, IQR = 1298-8523 members). Many groups (20/34, 58.8%) were created to provide instrumental support, while fewer (12/34, 35.8%) aimed to provide emotional support. Nutrition was the only diabetes self-management topic addressed in more than 30% of posts (n = 107). Posts made by engagement leaders were almost five times more likely to appear within inactive compared to active groups. DISCUSSION: Diabetes Facebook groups are used to share both information and emotional support, with greater emphasis placed on sharing information about nutrition. While engagement leaders should theoretically increase the credibility of online forums, frequent posts by group engagement leaders may actually lead to group decay. Health and diabetes educators should consider how to more effectively leverage social media engagement leaders to disseminate valid health information on diabetes self-management.

Indexed as

Diabetes MellitusSocial MediaSocial SupportBlood Glucose Self-MonitoringData AccuracyFemaleGeographyHumansInformation DisseminationMalePeer GroupPsychosocial Support SystemsReproducibility of ResultsSocial Networkingdiabetesself-managementsocial mediasupport group

Identifiers

PMID30931593
PMCPMC6501525

What OpenQuestion holds

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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.