Evidence map›Paper›PMID 30272488›Full record

ArticleChildhood obesity (Print)2019

Electronic Gaming Characteristics Associated with Class 3 Severe Obesity in Youth Who Attend the Pediatric Weight Management Programs of the COMPASS Network.

Thao-Ly T Phan, Jared M Tucker, Robert Siegel, Amy L Christison, William Stratbucker, Lloyd N Werk, Jobayer Hossain, George Datto, Douglas A Gentile, Sam Stubblefield

Abstract read
In one paragraph

Article in Childhood obesity (Print), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  5. Review
  6. Children's Health in the Digital Age.International journal of environmental research and public health · 2020
    Review
  7. Article
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

10 authors at 7 institutions in 1 country.

Thao-Ly T Phan1 Department of Pediatrics, Nemours A.I. duPont Hospital for Children/Sidney Kimmel Medical College, Thomas Jefferson University, Wilmington, DE.
Jared M Tucker2 Department of Pediatrics, Helen DeVos Children's Hospital/Michigan State University, Grand Rapids, MI.
Robert Siegel3 Department of Pediatrics, Cincinnati Children's/University of Cincinnati, Cincinnati, OH.
Amy L Christison4 Department of Pediatrics, University of Illinois College of Medicine at Peoria, Peoria, IL.
William Stratbucker2 Department of Pediatrics, Helen DeVos Children's Hospital/Michigan State University, Grand Rapids, MI.
Lloyd N Werk5 Department of Pediatrics, Nemours Children's Hospital, Orlando, FL.
Jobayer Hossain1 Department of Pediatrics, Nemours A.I. duPont Hospital for Children/Sidney Kimmel Medical College, Thomas Jefferson University, Wilmington, DE.
George Datto1 Department of Pediatrics, Nemours A.I. duPont Hospital for Children/Sidney Kimmel Medical College, Thomas Jefferson University, Wilmington, DE.
Douglas A Gentile6 Department of Psychology, Iowa State University, Ames, IA.
Sam Stubblefield1 Department of Pediatrics, Nemours A.I. duPont Hospital for Children/Sidney Kimmel Medical College, Thomas Jefferson University, Wilmington, DE.
Community Health Systems - Dupont Hospital · USHelen DeVos Children's Hospital · USAlfred I. duPont Hospital for Children · USIllinois College · USIowa State University · USNemours Children's Clinic · USUniversity of Cincinnati · US

Funding

Integrating Parenting Interventions into Pediatric Obesity CareK23HD083439 · NICHD · NEMOURS CHILDREN'S HOSPITAL, DELAWARE · PI PHAN-VO, THAO-LY TAM · 2016 to 2020
$776k
NICHD NIH HHS K23 HD083439
6 · The paper itself

Abstract

backgroundThe prevalence of severe obesity and electronic game use among youth has increased over time.

methodsWe administered a survey assessing gaming and psycho-demographic characteristics to youth aged 11-17 attending five weight management programs. We conducted chi-square and logistic regression analyses to describe the association between class 3 severe obesity and gaming characteristics.

resultsFour hundred twelve youth (51% female, 26% Black, 25% Hispanic, 43% White, and 44% with class 3 severe obesity) completed the survey. There was a stepwise relationship between time spent gaming and class 3 severe obesity, with 28% of those playing 2 to <4 hours a day, 48% of those playing 4 to <6 hours a day, and 56% of those playing ≥6 hours a day having class 3 severe obesity (p = 0.002). Compared to youth without class 3 severe obesity, youth with class 3 severe obesity were more likely to have a TV in the bedroom (76% vs. 63%, p = 0.004) and play games on a console (39% vs. 27%, p = 0.03) and were less likely to report parental limit setting on type of games played (7% vs. 16%, p = 0.006). Youth who played games ≥4 hours a day were 1.94 times (95% confidence interval 1.27-3.00) more likely to have class 3 severe obesity than those who played <4 hours a day, after adjustment for demographic, behavioral, and academic variables.

conclusionsOur study demonstrates a clear association between gaming characteristics, especially time spent gaming, and severe obesity in youth. Further research testing family-based interventions that target gaming behaviors in youth are needed.

Indexed as

Sedentary BehaviorVideo GamesWeight Reduction ProgramsAdolescentAdolescent BehaviorBody Mass IndexChildCross-Sectional StudiesFemaleHumansMaleObesity, MorbidPediatric ObesityTime Factorsparentingpediatric obesityscreen timesedentary behaviorsevere obesityvideo game

Identifiers

PMID30272488
PMCPMC6338554
OpenAlexW2895230354

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.