Evidence map›Paper›PMID 24039247›Full record

ArticlePediatric obesity2013

Screen time behaviours may interact with obesity genes, independent of physical activity, to influence adolescent BMI in an ethnically diverse cohort.

M Graff, K E North, A S Richardson, K M Young, K L Mohlke, L A Lange, E M Lange, K M Harris, P Gordon-Larsen

Open access · greenAbstract read
In one paragraph

Article in Pediatric obesity, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.3field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The importance of gene-environment interactions in human obesity.Clinical science (London, England : 1979) · 2016
    Review
  7. Cumulative and bidirectional association of physical activity and sedentary behaviour with health-related quality of life in adolescents.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016
    Article
  8. Article
  9. FTO association and interaction with time spent sitting.International journal of obesity (2005) · 2016
    Observational
  10. Advances in exercise, fitness, and performance genomics in 2014.Medicine and science in sports and exercise · 2015
    Review
  11. 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

9 authors at 1 institution in 1 country.

M GraffDepartment of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA; Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA.
K E North
A S Richardson
K M Young
K L Mohlke
L A Lange
E M Lange
K M Harris
P Gordon-Larsen
University of North Carolina at Chapel Hill · US

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
Gene-Environment Interactions and Weight GainR01HD057194 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GORDON-LARSEN, PENNY, NORTH, KARI E. · 2008 to 2019
$5.9M
Add Health: A Genotype and Phenotype Resource for the Global Scientific CommunityR01HD073342 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 2012 to 2016
$3.6M
Leveraging Hispanic/Latino diversity to map and characterize cardiovascular disease lociR01HL163262 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Lindsay Fernandez-Rhodes, Mariaelisa Graff · 2023 to 2026
$2.9M
NHLBI NIH HHS R01 HL163262NICHD NIH HHS HD31921 P01NICHD NIH HHS P01 HD031921NICHD NIH HHS R01 HD057194NICHD NIH HHS R01HD057194NICHD NIH HHS R01 HD073342NICHD NIH HHS R24 HD050924
6 · The paper itself

Abstract

backgroundThere has been little investigation of gene-by-environment interactions related to sedentary behaviour, a risk factor for obesity defined as leisure screen time (ST; i.e. television, video and computer games).

objectiveTo test the hypothesis that limiting ST use attenuates the genetic predisposition to increased body mass index (BMI), independent of physical activity.

designUsing 7642 wave II participants of the National Longitudinal Study of Adolescent Health, (Add Health; mean = 16.4 years, 52.6% female), we assessed the interaction of ST (h week(-1) ) and 41 established obesity single nucleotide polymorphisms (SNPs) with age- and sex-specific BMI Z-scores in 4788 European-American (EA), 1612 African-American (AA) and 1242 Hispanic American (HA) adolescents.

resultsNominally significant SNP*ST interaction were found for FLJ35779 in EA, GNPDA2 in AA and none in HA (EA: beta [SE] = 0.016[0.007]), AA: beta [SE] = 0.016[0.011]) per 7 h week(-1) ST and one risk allele in relation to BMI Z-score.

conclusionsWhile for two established BMI loci, we find evidence that high levels of ST exacerbate the influence of obesity susceptibility variants on body mass; overall, we do not find strong evidence for interactions between the majority of established obesity loci. However, future studies with larger sample sizes, or that may build on our current study and the growing published literature, are clearly warranted.

Indexed as

Adolescent BehaviorBody Mass IndexMotor ActivityPolymorphism, Single NucleotideAdolescentCohort StudiesFemaleGenetic Predisposition to DiseaseHumansMaleObesityPrevalenceSedentary BehaviorTelevisionVideo GamesWeight GainAdolescent BMIGene-environment interactionsObesity genesscreen time

Identifiers

PMID24039247
PMCPMC3838440
OpenAlexW1946247736

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.