Evidence map›Paper›PMID 33263271›Full record

ArticlePublic health nutrition2022

Mealtime media use and cardiometabolic risk in children.

Joseph Jamnik, Charles Keown-Stoneman, Karen M Eny, Jonathon L Maguire, Catherine S Birken, TARGet Kids! Collaboration

Open access · hybridAbstract read
In one paragraph

Article in Public health nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
–field-weighted citation impact, top 78% 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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Joseph JamnikChild Health Evaluative Sciences, SickKids Research Institute, Toronto, Ontario, Canada.
Charles Keown-StonemanThe Applied Health Research Centre of the Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, Ontario, Canada.
Karen M EnyNutrigenomix Inc., Toronto, Ontario, Canada.
Jonathon L MaguireThe Applied Health Research Centre of the Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, Ontario, Canada.
Catherine S BirkenChild Health Evaluative Sciences, SickKids Research Institute, Toronto, Ontario, Canada.
TARGet Kids! Collaboration
University of Toronto · CAInstitute for Clinical Evaluative Sciences · CA

Funding

CIHR MOP-333560
6 · The paper itself

Abstract

objectivesTo examine the association between mealtime media use and non-HDL-cholesterol as well as other markers of cardiometabolic risk (CMR) in children.

designA repeated measures study design was used to examine the association between mealtime media use and CMR outcomes. Multivariable linear regression with generalised estimating equations was used to examine the association between mealtime media use and CMR outcomes. Analyses were stratified a priori by age groups (1-4 and 5-13 years).

settingThe TARGet Kids! Practice-based research network in Toronto, Canada.

participants2117 children aged 1-13 years were included in the analysis.

resultsAfter adjusting for covariates, there was no evidence that total mealtime media use was associated with non-HDL-cholesterol in 1-4 year olds (P = 0·10) or 5-13 year olds (P = 0·29). Each additional meal with media per week was associated with decreased HDL-cholesterol in 5-13 year olds (-0·006 mmol/l; 95 % CI -0·009, -0·002; P = 0·003) and log-TAG in 1-4 year olds (β = -0·004; 95 % CI -0·008, -0·00009; P = 0·04). Media use during breakfast was associated with decreased HDL-cholesterol in 5-13 year olds (-0·012 mmol/l; 95 % CI -0·02, -0·004; P = 0·002), while media during lunch was associated with decreased log-TAG (-0·01 mmol/l; 95 % CI -0·03, -0·002; P = 0·03) in children aged 1-4 years. Total mealtime media use was not associated with total cholesterol, glucose or insulin in either age group.

conclusionsMealtime media use may be associated with unfavourable lipid profiles through effects on HDL-cholesterol in school-aged children but likely not in pre-schoolers.

Indexed as

Cardiovascular DiseasesMealsChildChild, PreschoolCholesterolCholesterol, HDLHumansLipoproteinsRisk FactorsCholesterolCholesterol, HDLLipoproteinsCardiometabolic riskChildrenLipidsMealtime media use

Identifiers

PMID33263271
PMCPMC9991824
OpenAlexW3108215924

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.