Evidence map›Paper›PMID 33049338›Full record

ArticleAppetite2021

The association of adolescents' television viewing with Body Mass Index percentile, food addiction, and addictive phone use.

Sarah E Domoff, Emma Sutherland, Sonja Yokum, Ashley N Gearhardt

Abstract read
In one paragraph

Article in Appetite, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 5 pooled it
–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

12 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Review
  7. Article
  8. Review
  9. Article
  10. Evaluating adolescent eating autonomy through ecological momentary assessment.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Article
  11. Article
  12. 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

4 authors.

Sarah E DomoffDepartment of Psychology, Central Michigan University, USA. Electronic address: domof1se@cmich.edu.
Emma SutherlandSchool of Public Health, University of Michigan, USA. Electronic address: emmasuth@umich.edu.
Sonja YokumOregon Research Institute, USA. Electronic address: sonjas@ori.org.
Ashley N GearhardtDepartment of Psychology, University of Michigan, USA. Electronic address: agearhar@umich.edu.

Funding

Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Joyce Lee · 2010 to 2026
$20.3M
Food Marketing Vulnerability and Increased Risk for Weight Gain in AdolescentsR01DK102532 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GEARHARDT, ASHLEY NICOLE · 2015 to 2017
$1.3M
NIDDK NIH HHS P30 DK089503NIDDK NIH HHS R01 DK102532
6 · The paper itself

Abstract

Television (TV) viewing remain a popular forms of screen time for adolescents. Greater TV viewing is associated with a number of negative consequences for adolescent health. In a changing media landscape, it is important to understand adolescents' overall and commercial TV exposure, and how TV viewing is linked to health risks (e.g., obesity, food addiction, and phone addiction). The purpose of this study was to: 1) examine differences by age, gender, race/ethnicity, and parental education in overall TV and commercial TV viewing and 2) investigate whether adolescents who watch more overall TV and commercial TV programming were more likely to have a higher BMI percentile, more addictive eating, and more addictive phone use. A sample of 190 adolescents (13-16 years of age) completed Time-Use Diaries (TUDs) in 2015-2017. We found that girls had more overall weekday TV time than males. No other gender differences were detected for weekend TV time or commercial TV time. Higher BMI percentile was not correlated with greater overall or commercial TV viewing. However, we did identify a positive association between overall TV viewing and commercial TV viewing with addictive-eating and addictive phone use. This effect was mainly driven by boys. To our knowledge, this is the first study to investigate patterns of television viewing and addictive-like eating and addictive phone use. We conclude that adolescents, particularly boys, with higher TV viewing may be more likely to present with problems with addictive eating behavior and phone use. Our findings add to the research on the behavioral health correlates of TV viewing among adolescents.

Indexed as

Food AddictionAdolescentBody Mass IndexCross-Sectional StudiesFemaleHumansMaleObesityTelevisionAdolescentsBMI percentileCommercialsFood addictionPhoneTelevisionTime-use diaries

Identifiers

PMID33049338
PMCPMC7855083

What OpenQuestion holds

Textmetadata
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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.