Evidence map›Paper›PMID 27334546›Full record

ArticlePediatric obesity2017

Body mass index, new modes of TV viewing and active video games.

J Falbe, W C Willett, B Rosner, A E Field

Abstract read
In one paragraph

Article in Pediatric obesity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Trial
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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

4 authors.

J FalbeDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
W C WillettDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
B RosnerChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
A E FieldDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

TRAINING GRANT IN ACADEMIC NUTRITIONT32DK007703 · NIDDK · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI CHRISTOPHER P DUGGAN, Frank B Hu · 1994 to 2026
$7.8M
Food and Beverage Patterns that Predict Weight Gain Among AdolescentsR01DK084001 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI FIELD, ALISON E · 2010 to 2013
$2.0M
American Heart Association-American Stroke Association 14POST20140055NIDDK NIH HHS R01 DK084001NIDDK NIH HHS T32 DK007703
6 · The paper itself

Abstract

backgroundRecent technologies have changed screen time. TV can be viewed anywhere, anytime. Content can be collected via digital recorders and online streaming and viewed on smartphones. Video games are no longer strictly sedentary.

objectivesWe sought to assess the unknown relations between new modes of TV viewing - recorded, online, downloaded and on hand-held devices - and active video games with body mass index (BMI).

methodsCross-sectional analysis of the 2011 wave of the Growing Up Today Study 2 cohort. We used gender-specific generalized estimating equations to examine screen time and BMI among 3071 women and 2050 men aged 16-24 years.

resultsAmong women, each hour/day of online TV (0.47; confidence interval [CI]: 0.12, 0.82) and total non-broadcast TV (0.37; CI: 0.14, 0.61) was associated with higher BMI, as was watching ≥ 1/2 h week

conclusionsAmong women, online TV, TV viewed on hand-held devices and the sum of non-broadcast TV time were associated with higher BMI. Broadcast TV was also associated with BMI in women and men.

Indexed as

Body Mass IndexSedentary BehaviorAdolescentBody WeightCohort StudiesCross-Sectional StudiesFemaleHumansMaleTelevisionVideo GamesYoung Adultbody mass indextelevisionvideo gamesyoung adult

Identifiers

PMID27334546
PMCPMC5568509

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.