Evidence map›Paper›PMID 33106342›Full record

ArticlePediatrics2020

Child Social Media Influencers and Unhealthy Food Product Placement.

Amaal Alruwaily, Chelsea Mangold, Tenay Greene, Josh Arshonsky, Omni Cassidy, Jennifer L Pomeranz, Marie Bragg

Open access · greenAbstract read
In one paragraph

Article in Pediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
28.2field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 108 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Social Media Influences on Dietary Awareness in Children.Healthcare (Basel, Switzerland) · 2024
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Amaal AlruwailyDepartment of Population Health, School of Medicine and.
Chelsea MangoldDepartment of Population Health, School of Medicine and.
Tenay GreeneDepartment of Population Health, School of Medicine and.
Josh ArshonskyDepartment of Population Health, School of Medicine and.
Omni CassidyDepartment of Population Health, School of Medicine and.
Jennifer L PomeranzSchool of Global Public Health, New York University, New York, New York.
Marie BraggDepartment of Population Health, School of Medicine and marie.bragg@nyulangone.org.
New York University · US

Funding

Promoting Academic Workforce Development in Behavioral Medicine and Sleep Disorders ResearchR25HL105444 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Girardin Jean-Louis, Tatjana Rundek · 2010 to 2026
$5.8M
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 HS026120NHLBI NIH HHS R25 HL105444NIH HHS DP5 OD021373
6 · The paper itself

Abstract

objectivesWe aimed to determine the frequency with which kid influencers promote branded and unbranded food and drinks during their YouTube videos and assess the nutritional quality of food and drinks shown.

methodsResearchers used Socialbakers data to identify the 5 most-watched kid influencers (ages 3 to 14 years) on YouTube in 2019. We searched for 50 of their most-watched videos and 50 of their videos that featured food and/or drinks on the thumbnail image of the video. We coded whether kid influencers consumed or played with food or toys, quantified the number of minutes food and/or drinks appeared, and recorded names of branded food and/or drinks. We assessed the nutritional quality of foods using the Nutrient Profile Model and identified the number of drinks with added sugar.

resultsA sample of 418 YouTube videos met the search criteria, and 179 of those videos featured food and/or drinks. Food and/or drinks were featured in those videos 291 times. Kid influencers' YouTube videos were collectively viewed >48 billion times, and videos featuring food and/or drinks were viewed 1 billion times. Most food and/or drinks were unhealthy branded items (

conclusionsKid influencers generate millions of impressions for unhealthy food and drink brands through product placement. The Federal Trade Commission should strengthen regulations regarding product placement on YouTube videos featuring young children.

Indexed as

Nutritive ValuePeer InfluenceAdolescentBeveragesChildChild, PreschoolDiet, HealthyDirect-to-Consumer AdvertisingFast FoodsFood QualityHumansSocial MediaTime Factors

Identifiers

PMID33106342
PMCPMC7786816
OpenAlexW3093986108

What OpenQuestion holds

Textmetadata
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.