Evidence map›Paper›PMID 33994053›Full record

ArticleAmerican journal of preventive medicine2021

Marketing to Children Inside Quick Service Restaurants: Differences by Community Demographics.

Juliana F W Cohen, Kristen Cooksey Stowers, Marlaina Rohmann, Nicole Lapierre, Eric B Rimm, Sean B Cash, Kirsten K Davison, Kyle McInnis, Christina D Economos

Open access · greenAbstract read
In one paragraph

Article in American journal of preventive medicine, 2021. 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
2.6field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

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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

9 authors at 6 institutions in 1 country.

Juliana F W CohenDepartment of Nutrition and Public Health, School of Health Sciences, Merrimack College, North Andover, Massachusetts; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. Electronic address: cohenj@merrimack.edu.
Kristen Cooksey StowersDepartment of Allied Health Sciences, University of Connecticut, Storrs, Connecticut; UConn Rudd Center for Food Policy & Obesity, University of Connecticut, Hartford, Connecticut.
Marlaina RohmannDepartment of Nutrition and Public Health, School of Health Sciences, Merrimack College, North Andover, Massachusetts.
Nicole LapierreDepartment of Nutrition and Public Health, School of Health Sciences, Merrimack College, North Andover, Massachusetts.
Eric B RimmDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine Research, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.
Sean B CashGerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
Kirsten K DavisonBoston College School of Social Work, Chestnut Hill, Massachusetts.
Kyle McInnisOffice of the Provost, Johnson & Wales University, Providence, Rhode Island.
Christina D EconomosGerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
Harvard University · USMerrimack College · USTufts University · USBoston College · USJohnson & Wales University · USUniversity of Connecticut · US

Funding

The Influence of Quick-Service Restaurants on Children's DietsK01DK107810 · NIDDK · MERRIMACK COLLEGE · PI COHEN, JULIANA FW · 2016 to 2020
$635k
NIDDK NIH HHS K01 DK107810
6 · The paper itself

Abstract

introductionIn the U.S., children regularly consume foods from quick-service restaurants, but little is known about the marketing strategies currently used inside quick-service restaurants. This study aims to validate a child-focused Environmental Assessment Tool for quick-service restaurants, evaluate marketing strategies inside and on the exterior of quick-service restaurants, and examine differences by community race/ethnicity or income.

methodsThe inter-rater and test-retest reliability of the Environmental Assessment Tool were assessed across the top 5 national quick-service restaurant chains. Marketing techniques in 165 quick-service restaurants (33 per national chain) in socioeconomically and racially/ethnically diverse communities throughout New England were examined in 2018-2019. Mixed methods ANOVA examined the differences in marketing techniques in 2020.

resultsThe inter-rater and test-retest reliability of the Environmental Assessment Tool were high (Cohen's κ>0.80). Approximately 95% of quick-service restaurants marketed less healthy foods, whereas only 6.5% marketed healthy options. When examining the differences by community demographics, there were significantly more price promotion advertisements inside and on the exterior of quick-service restaurants in lower-income communities. In addition, there was a greater number of child-directed advertisements with cartoon or TV/movie characters as well as fewer healthy entrée options and more sugar-sweetened beverage and dessert options on the children's menu inside quick-service restaurants in communities with higher minority populations.

conclusionsEnvironmental Assessment Tool is a valid tool to evaluate marketing inside quick-service restaurants. Results suggest that there is a substantial amount of unhealthy food and beverage marketing inside quick-service restaurants, with differences in the number and types of techniques used in lower-income and minority communities. Policies that limit quick-service restaurant marketing to children should be considered.

Indexed as

MarketingRestaurantsChildDemographyHumansNew EnglandReproducibility of Results

Identifiers

PMID33994053
PMCPMC8277431
OpenAlexW3162282913

What OpenQuestion holds

Textmetadata
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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.