Evidence map›Paper›PMID 36040957›Full record

ArticleJMIR formative research2022

COVID-Washing in US Food and Beverage Marketing on Twitter: Content Analysis.

Krystle A Tsai, Omni Cassidy, Josh Arshonsky, Sara Bond, Inés M Del Giudice, Marie A Bragg

Abstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Social Media Influences on Dietary Awareness in Children.Healthcare (Basel, Switzerland) · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. The Founder: Dispositional Greed, Showbiz, and the Commercial Determinants of Health.International journal of environmental research and public health · 2023
    Article
  8. 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.

Krystle A TsaiDepartment of Population Health, New York University Grossman School of Medicine, New York City, NY, United States.ORCID https://orcid.org/0000-0001-5962-4430
Omni CassidyDepartment of Population Health, New York University Grossman School of Medicine, New York City, NY, United States.ORCID https://orcid.org/0000-0002-1718-2387
Josh ArshonskyDepartment of Population Health, New York University Grossman School of Medicine, New York City, NY, United States.ORCID https://orcid.org/0000-0002-4696-2913
Sara BondDepartment of Population Health, New York University Grossman School of Medicine, New York City, NY, United States.ORCID https://orcid.org/0000-0002-0081-8916
Inés M Del GiudiceDepartment of Population Health, New York University Grossman School of Medicine, New York City, NY, United States.ORCID https://orcid.org/0000-0001-5417-9446
Marie A BraggDepartment of Population Health, New York University Grossman School of Medicine, New York City, NY, United States.ORCID https://orcid.org/0000-0002-6858-7173

Funding

NYU Training Program in Healthcare Delivery Science and Population Health ResearchT32HS026120 · AHRQ · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HORWITZ, LEORA, SCHWARTZ, MARK D · 2018 to 2023
$3.4M
Impact of Racially Targeted Food and Beverage Ads on Adolescent BehaviorDP5OD021373 · OD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BRAGG, MARIE · 2015 to 2019
$2.1M
AHRQ HHS T32 HS026120NIH HHS DP5 OD021373
6 · The paper itself

Abstract

backgroundFood companies have increased digital and social media ad expenditures during the COVID-19 pandemic, capitalizing on the coinciding increase in social media use during the pandemic. The extent of pandemic-related social media advertising and marketing tactics have been previously reported. No studies, however, have evaluated how food and beverage companies used COVID-washing on social media posts in the United States or analyzed the nutritional content of advertised food and beverage products. This study was designed to address these gaps by evaluating how food and beverage companies capitalize on the COVID-19 pandemic to promote unhealthy foods and sugary beverages.

objectiveWe aimed to document the types and frequencies of COVID-19-related themes in US food and beverage companies' Twitter posts during the first wave of the pandemic in the United States, and assess the nutritional quality of food and beverage products featured in these tweets.

methodsResearch assistants visited the Twitter accounts of the most-marketed food and beverage brands, and screen-captured all tweets posted between March 1 and May 31, 2020. Researchers documented the date of the tweet; the number of likes, views, comments, and "retweets"; and the type of food and beverage products. We coded tweets for the following 10 COVID-19 themes: (1) social distancing, staying home, or working remotely; (2) contactless delivery or pick-up; (3) handwashing or sanitizing; (4) masks; (5) safety or protection; (6) staying connected with others; (7) staying active; (8) frontline or essential workers; (9) monetary relief, donations, or unemployment; and (10) pandemic, unprecedented, or difficult times. Researchers calculated the nutrient profile index scores for featured foods and sorted beverages into categories based on sugar content.

resultsOur final sample included 874 COVID-19-themed tweets from 52 food and beverage brands. Social distancing themes appeared most frequently (n=367, 42%), followed by pandemic, unprecedented, or difficult times (n=246, 28.2%), and contactless delivery (n=237, 27.1%). The majority of tweets (n=682, 78%) promoted foods and beverages. Among those tweets featuring foods and beverages, 89.6% (n=611) promoted unhealthy products, whereas 17.2% (n=117) promoted healthy products.

conclusionsOur findings point to a concerning marketing tactic in which major food and beverage companies promote unhealthy foods and sugary beverages during the COVID-19 pandemic. Given that nutrition-related diseases such as obesity and diabetes are risk factors for COVID-19 morbidity and mortality, food and beverage companies should reduce the promotion of unhealthy products to help decrease the prevalence of health conditions that place people at higher risk for severe illness and death due to COVID-19.

Indexed as

COVID-19food and beverage marketinghealth advertisingmarketingnutritionobesityrisk factorsocial mediaTwitter

Identifiers

PMID36040957
PMCPMC9578516

What OpenQuestion holds

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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.