Evidence map›Paper›PMID 30573338›Full record

Observational studyAmerican journal of preventive medicine2019

Exposure to Child-Directed TV Advertising and Preschoolers' Intake of Advertised Cereals.

Jennifer A Emond, Meghan R Longacre, Keith M Drake, Linda J Titus, Kristy Hendricks, Todd MacKenzie, Jennifer L Harris, Jennifer E Carroll, Lauren P Cleveland, Gail Langeloh and 1 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in American journal of preventive medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. From preschool to policy: A scoping review of recommended interventions for a systems approach to improve dietary intake in early childhood.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
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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

11 authors at 3 institutions in 1 country.

Jennifer A EmondDepartment of Biomedical Data Sciences, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire; Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire; Norris Cotton Cancer Center, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire; Department of Pediatrics, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire. Electronic address: jennifer.a.emond@dartmouth.edu.
Meghan R LongacreDepartment of Biomedical Data Sciences, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire; Norris Cotton Cancer Center, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire; Department of Pediatrics, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire; The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire.
Keith M DrakeThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire; Greylock McKinnon Associates, Cambridge, Massachusetts.
Linda J TitusDepartment of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire; Norris Cotton Cancer Center, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire; Department of Pediatrics, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire; The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire.
Kristy HendricksDepartment of Pediatrics, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire.
Todd MacKenzieDepartment of Biomedical Data Sciences, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire; The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire.
Jennifer L HarrisRudd Center for Food Policy and Obesity, University of Connecticut, Storrs, Connecticut.
Jennifer E CarrollDepartment of Biomedical Data Sciences, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire.
Lauren P ClevelandDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard School of Medicine, Boston, Massachusetts.
Gail LangelohDepartment of Biomedical Data Sciences, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire.
Madeline A DaltonDepartment of Biomedical Data Sciences, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire; Norris Cotton Cancer Center, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire; Department of Pediatrics, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire; The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire.
Dartmouth College · USHarvard Pilgrim Health Care · USUniversity of Connecticut · US

Funding

Impact of Food Marketing and Cross-Promotions on Preschoolers' Dietary IntakeR01HD071021 · NICHD · DARTMOUTH COLLEGE · PI DALTON, MADELINE A., LONGACRE, MEGHAN R · 2012 to 2016
$3.1M
NICHD NIH HHS R01 HD071021
6 · The paper itself

Abstract

introductionChild-directed TV advertising is believed to influence children's diets, yet prospective studies in naturalistic settings are absent. This study examined if child-directed TV advertisement exposure for ten brands of high-sugar breakfast cereals was associated with children's intake of those brands prospectively.

methodsObservational study of 624 preschool-age children and their parents conducted in New Hampshire, 2014-2015. Over 1 year, parents completed a baseline and six online follow-up surveys, one every 8 weeks. Children's exposure to high-sugar breakfast cereal TV advertisements was based on the network-specific TV programs children watched in the 7 days prior to each follow-up assessment, and parents reported children's intake of each advertised high-sugar breakfast cereal brand during that same 7-day period. Data were analyzed in 2017-2018.

resultsIn the fully adjusted Poisson regression model accounting for repeated measures and brand-specific effects, children with high-sugar breakfast cereal advertisement exposure in the past 7 days (i.e., recent exposure; RR=1.34, 95% CI=1.04, 1.72), at any assessment in the past (RR=1.23, 95% CI=1.06, 1.42), or recent and past exposure (RR=1.37, 95% CI=1.15, 1.63) combined had an increased risk of brand-specific high-sugar breakfast cereal intake. Absolute risk difference of children's high-sugar breakfast cereal intake because of high-sugar breakfast cereal TV advertisement exposure varied by brand.

conclusionsThis naturalistic study demonstrates that child-directed high-sugar breakfast cereal TV advertising was prospectively associated with brand-specific high-sugar breakfast cereal intake among preschoolers. Findings indicate that child-directed advertising influences begin earlier and last longer than previously demonstrated, highlighting limitations of current industry guidelines regarding the marketing of high-sugar foods to children under age 6 years.

Indexed as

BreakfastChild BehaviorChild, PreschoolDietary SugarsDirect-to-Consumer AdvertisingEdible GrainFeeding BehaviorFemaleFollow-Up StudiesHumansMaleParentsProspective StudiesSurveys and QuestionnairesTelevisionDietary Sugars

Identifiers

PMID30573338
PMCPMC6340774
OpenAlexW2903711527

What OpenQuestion holds

Textmetadata
LicenceTDM
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.