Evidence map›Paper›PMID 34886509›Full record

ArticleInternational journal of environmental research and public health2021

Associations between State-Level Obesity Rates, Engagement with Food Brands on Social Media, and Hashtag Usage.

Yuanqi Gu, Jaime Coffino, Rebecca Boswell, Zora Hall, Marie A Bragg

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Social Media Influences on Dietary Awareness in Children.Healthcare (Basel, Switzerland) · 2024
    Review
  5. 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

5 authors.

Yuanqi GuDepartment of Population Health, New York University Grossman School of Medicine, New York, NY 10016, USA.ORCID 0000-0002-1830-7663
Jaime CoffinoDepartment of Population Health, New York University Grossman School of Medicine, New York, NY 10016, USA.
Rebecca BoswellDepartment of Population Health, New York University Grossman School of Medicine, New York, NY 10016, USA.
Zora HallDepartment of Population Health, New York University Grossman School of Medicine, New York, NY 10016, USA.
Marie A BraggDepartment of Population Health, New York University Grossman School of Medicine, New York, NY 10016, USA.

Funding

HRSA HHS T32 HP22238
6 · The paper itself

Abstract

Food advertisement exposure is associated with increased caloric intake, but little is known about food/beverage placements in the digital media environment. We aimed to examine the correlation between the number of people who follow food and beverage brand social media accounts (i.e., user engagement) and state-level obesity rates; quantify social media followers' use of "healthy" vs. "unhealthy" hashtags; and analyze the relationship between user engagement and hashtag usage. We identified the 26 fast-food and beverage brands with the highest advertising expenditures and used Demographics Pro to determine the characteristics of social media users amongst the 26 brands. A series of regression analyses were conducted that related the mean percentage of brand followers and state-level obesity rates. We then identified 733 hashtags on Instagram and 703 hashtags on Twitter, coding them as "healthy", "unhealthy", "neutral", or "unrelated to health". Intercoder reliability was established using ReCal2, which indicated a 90% agreement between coders. Finally, we conducted ANCOVA to examine the relationship between the mean percentage of brand followers and their hashtag usage. There was a significant, positive correlation between the state-level obesity rate and the mean percentage of followers of sugary drink or fast-food brands on Instagram and Twitter, but such a correlation between obesity and low-calorie drink brand followers was only found on Twitter. Our findings illustrate the relationship between the social media food environment and obesity rates in the United States. Given the high rates of engagement with food brands on social media, policies should limit digital advertisements featuring fast-food, sugary drink, and low-calorie drink brands.

Indexed as

Social MediaFast FoodsHumansInternetObesityReproducibility of ResultsUnited Statesobesitysocial media

Identifiers

PMID34886509
PMCPMC8657578

What OpenQuestion holds

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Registered trials

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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.