Evidence map›Paper›PMID 37191990›Full record

ArticleJMIR infodemiology2023

Obesity-Related Discourse on Facebook and Instagram Throughout the COVID-19 Pandemic: Comparative Longitudinal Evaluation.

Catherine Pollack, Diane Gilbert-Diamond, Tracy Onega, Soroush Vosoughi, A James O'Malley, Jennifer A Emond

Abstract read
In one paragraph

Article in JMIR infodemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Catherine PollackDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, United States.ORCID https://orcid.org/0000-0002-7434-5306
Diane Gilbert-DiamondDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States.ORCID https://orcid.org/0000-0003-3560-7171
Tracy OnegaDepartment of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-1633-3040
Soroush VosoughiDepartment of Computer Science, Dartmouth College, Hanover, NH, United States.ORCID https://orcid.org/0000-0002-2564-8909
A James O'MalleyDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, United States.ORCID https://orcid.org/0000-0001-8389-6217
Jennifer A EmondDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, United States.ORCID https://orcid.org/0000-0001-8684-7330

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
NCI NIH HHS P30 CA023108
6 · The paper itself

Abstract

backgroundCOVID-19 severity is amplified among individuals with obesity, which may have influenced mainstream media coverage of the disease by both improving understanding of the condition and increasing weight-related stigma.

objectiveWe aimed to measure obesity-related conversations on Facebook and Instagram around key dates during the first year of the COVID-19 pandemic.

methodsPublic Facebook and Instagram posts were extracted for 29-day windows in 2020 around January 28 (the first US COVID-19 case), March 11 (when COVID-19 was declared a global pandemic), May 19 (when obesity and COVID-19 were linked in mainstream media), and October 2 (when former US president Trump contracted COVID-19 and obesity was mentioned most frequently in the mainstream media). Trends in daily posts and corresponding interactions were evaluated using interrupted time series. The 10 most frequent obesity-related topics on each platform were also examined.

resultsOn Facebook, there was a temporary increase in 2020 in obesity-related posts and interactions on May 19 (posts +405, 95% CI 166 to 645; interactions +294,930, 95% CI 125,986 to 463,874) and October 2 (posts +639, 95% CI 359 to 883; interactions +182,814, 95% CI 160,524 to 205,105). On Instagram, there were temporary increases in 2020 only in interactions on May 19 (+226,017, 95% CI 107,323 to 344,708) and October 2 (+156,974, 95% CI 89,757 to 224,192). Similar trends were not observed in controls. Five of the most frequent topics overlapped (COVID-19, bariatric surgery, weight loss stories, pediatric obesity, and sleep); additional topics specific to each platform included diet fads, food groups, and clickbait.

conclusionsSocial media conversations surged in response to obesity-related public health news. Conversations contained both clinical and commercial content of possibly dubious accuracy. Our findings support the idea that major public health announcements may coincide with the spread of health-related content (truthful or otherwise) on social media.

Indexed as

COVID-19FacebookinfodemiologyInstagramnewsobesityonline health informationpublic healthsocial media

Identifiers

PMID37191990
PMCPMC10203886

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