Evidence map›Paper›PMID 35589343›Full record

ArticleBMJ open2022

Adolescents' media usage and self-reported exposure to advertising across six countries: implications for less healthy food and beverage marketing.

Élisabeth Demers-Potvin, Martin White, Monique Potvin Kent, Claudia Nieto, Christine M White, Xueying Zheng, David Hammond, Lana Vanderlee

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Review
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  6. The association between exposure to food marketing and dietary intake among youth in six countries.The international journal of behavioral nutrition and physical activity · 2025
    Article
  7. A Mixed Method Study Exploring Children and Young People's Perception of Energy Drinks and Analysing Consumption Patterns.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025
    Article
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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

8 authors.

Élisabeth Demers-PotvinÉcole de nutrition, Centre NUTRISS - Nutrition, santé et société, Institut sur la nutrition et les aliments fonctionnels, Université Laval, Quebec City, Quebec, Canada.
Martin WhiteCentre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge, Cambridge, Cambridgeshire, UK.
Monique Potvin KentSchool of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
Claudia NietoCenter for Health and Nutrition Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
Christine M WhiteSchool of Public Health Sciences, Faculty of Health, University of Waterloo, Waterloo, Ontario, Canada.
Xueying ZhengHealth Education East of England, St Helens and Knowsley Teaching Hospitals NHS Trust, Prescot, Merseyside, UK.
David HammondSchool of Public Health Sciences, Faculty of Health, University of Waterloo, Waterloo, Ontario, Canada.
Lana VanderleeÉcole de nutrition, Centre NUTRISS - Nutrition, santé et société, Institut sur la nutrition et les aliments fonctionnels, Université Laval, Quebec City, Quebec, Canada lana.vanderlee@fsaa.ulaval.ca.ORCID 0000-0001-5384-1821

Funding

Medical Research Council MC_UU_00006/7
6 · The paper itself

Abstract

objectivesThe study objectives were to examine: (1) adolescents' media viewing habits, (2) associations with media viewing and self-reported exposure to unhealthy food and beverage advertising and (3) differences in trends among younger and older adolescents in six high and upper middle-income countries.

designRepeat cross-sectional online survey.

settingAustralia, Canada, Chile, Mexico, the United Kingdom (UK) and the United States of America (USA).

participantsRespondents to the International Food Policy Study who provided information on all variables of interest in November-December 2019 aged 10-17 years (n=9171). OUTCOME MEASURES: Self-reported exposure to screen-based media (screen time by media channel), use of social media platforms and self-reported location and frequency of exposure to unhealthy food and beverage advertising.

resultsThe average amount of time spent in front of various screens ranged from 7.6 hours to 10.2 hours across countries per week day, which may include possible viewing of multiple media channels simultaneously. Overall, Instagram was the most popular social media platform (52%-68% by country), followed by Facebook (42%-79%) and Snapchat (28%-52%). The percentage of respondents who self-reported having seen unhealthy food advertisements in the past 30 days was highest on television (43%-69%), followed by digital media (27%-60%) and gaming applications (10%-17%). Self-reported daily exposure to advertising varied between countries for sugary drinks (10%-43%) and fast food (19%-44%) and was positively associated with self-reported screen time. Self-reported exposure to screen-based media and social media platforms differed by sociodemographic characteristics and was higher among older adolescents than younger adolescents.

conclusionsThe important amount of time spent on screen-based media reported by adolescents and large percentage of adolescents reporting social media usage, coupled with high rates of self-reported advertising exposure, support the need for policies to restrict marketing of unhealthy food and beverages appealing to adolescents on screen-based media.

Indexed as

AdvertisingInternetAdolescentBeveragesCross-Sectional StudiesFast FoodsFoodFood IndustryHumansMarketingSelf ReportTelevisionUnited Statesadolescentsbroadcast mediadigital mediafood environmentFood marketingfood policymarketing to children

Identifiers

PMID35589343
PMCPMC9121490

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.