Evidence map›Paper›PMID 25041407›Full record

Observational studyPediatric diabetes2015

Longitudinal association between television watching and computer use and risk markers in diabetes in the SEARCH for Diabetes in Youth Study.

Chao Li, Bettina Beech, Tessa Crume, Ralph B D'Agostino, Dana Dabelea, Jill L Kaar, Angela D Liese, Elizabeth J Mayer-Davis, Russell Pate, David J Pettitt and 3 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Pediatric diabetes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
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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

13 authors.

Chao LiDepartment of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA.
Bettina BeechSchool of Medicine, Wake Forest University, Winston-Salem, NC, USA.
Tessa CrumeDepartment of Epidemiology, University of Colorado, Denver, CO, USA.
Ralph B D'AgostinoSchool of Medicine, Wake Forest University, Winston-Salem, NC, USA.
Dana DabeleaDepartment of Epidemiology, University of Colorado, Denver, CO, USA.
Jill L KaarDepartment of Epidemiology, University of Colorado, Denver, CO, USA.
Angela D LieseDepartment of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA.
Elizabeth J Mayer-DavisDepartment of Nutrition, University of North Carolina, Chapel Hill, NC, USA.
Russell PateDepartment of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA.
David J PettittSansum Diabetes Research Institute, Santa Barbara, CA, USA.
Craig TaplinDivision of Endocrinology and Diabetes, Seattle Children's Hospital, University of Washington, Seattle, WA, USA.
Beatriz RodriguezJohn A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.
Anwar T MerchantDepartment of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA.

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
Institute of Translational Health SciencesUL1TR000423 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$49.4M
Colorado Clinical and Translational Science Institute (UL1)UL1TR000154 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2012 to 2013
$20.4M
UCHSC DIABETES ENDOCRINOLOGY RESEARCH CENTERP30DK057516 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI HUTTON, JOHN C · 2000 to 2010
$14.0M
SOUTH CAROLINA CLINICAL & TRANSLATIONAL RESEARCH INSTITUTE (SCTR)UL1RR029882 · NCRR · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2009 to 2011
$10.1M
Cincinnati Center for Clinical and Translational Sciences and TrainingUL1TR000077 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E. · 2012 to 2014
$9.9M
SEARCH for Diabetes in Youth Coordinating CenterU01DP000250 · DP · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BELL, RONNY A · 2005 to 2009
$4.8M
SEARCH For Diabetes in Youth, Phase 3: Cohort Study-Carolina CenterU18DP002708 · DP · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MAYER-DAVIS, ELIZABETH J · 2010 to 2014
$3.6M
SEARCH for Diabetes in Youth 2: Colorado CenterU01DP000247 · DP · UNIVERSITY OF COLORADO DENVER · PI DABELEA, DANA · 2005 to 2009
$3.6M
SEARCH for Diabetes in Youth 2: South Carolina CenterU01DP000254 · DP · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MAYER-DAVIS, ELIZABETH J · 2005 to 2009
$3.5M
SEARCH for Diabetes in Youth 3: Washington Site, Part BU18DP002710 · DP · SEATTLE CHILDREN'S HOSPITAL · PI PIHOKER, CATHERINE · 2010 to 2014
$3.2M
SEARCH 3 Cohort Study to Assess Incidence of Acute and Chronic Diabetes-related CU18DP002709 · DP · CINCINNATI CHILDRENS HOSP MED CTR · PI DOLAN, LAWRENCE M · 2010 to 2014
$3.2M
HSRD VA HIR 10-001NCATS NIH HHS UL1 TR000077NCATS NIH HHS UL1 TR000154NCATS NIH HHS UL1 TR000423NCATS NIH HHS UL1 TR002319NCCDPHP CDC HHS DP-05-069NCCDPHP CDC HHS DP-10-001NCCDPHP CDC HHS U01 DP000244NCCDPHP CDC HHS U01 DP000245NCCDPHP CDC HHS U01 DP000246NCCDPHP CDC HHS U01 DP000247NCCDPHP CDC HHS U01 DP000248NCCDPHP CDC HHS U01 DP000250NCCDPHP CDC HHS U01 DP000254NCCDPHP CDC HHS U18 DP002708NCCDPHP CDC HHS U18 DP002709NCCDPHP CDC HHS U18 DP002710NCCDPHP CDC HHS U18 DP002714NCRR NIH HHS UL1 RR029882NIDCR NIH HHS R03 DE022785NIDDK NIH HHS P30 DK057516PHS HHS 00097
6 · The paper itself

Abstract

backgroundThe study provides evidence of the longitudinal association between screen time with hemoglobin A1c (HbA1c) and cardiovascular risk markers among youth with type 1 diabetes (T1D) and type 2 diabetes (T2D).

objectiveTo examine the longitudinal relationship of screen time with HbA1c and serum lipids among youth with diabetes. SUBJECTS: Youth with T1D and T2D.

methodsWe followed up 1049 youth (≥10 yr old) with recently diagnosed T1D and T2D participating in the SEARCH for Diabetes in Youth Study.

resultsIncreased television watching on weekdays and during the week over time was associated with larger increases in HbA1c among youth with T1D and T2D (p-value <0.05). Among youth with T1D, significant longitudinal associations were observed between television watching and TG (p-value <0.05) (week days and whole week), and low-density lipoprotein cholesterol (LDL-c, p-value <0.05) (whole week). For example, for youth who watched 1 h of television per weekday at the outset and 3 h per weekday 5 yr later, the longitudinal model predicted greater absolute increases in HbA1c (2.19% for T1D and 2.16% for T2D); whereas for youth who watched television 3 h per weekday at the outset and 1 h per weekday 5 yr later, the model predicted lesser absolute increases in HbA1c (2.08% for T1D and 1.06% for T2D).

conclusionsYouth with T2D who increased their television watching over time vs. those who decreased it had larger increases in HbA1c over 5 yr. Youth with T1D who increased their television watching over time had increases in LDL-c, TG, and to a lesser extent HbA1c.

Indexed as

ComputersTelevisionAdolescentCardiovascular DiseasesChildDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleHumansLongitudinal StudiesMaleRisk FactorsYoung Adultdiabeteshemoglobin A1cscreen timeserum lipidsyouth

Identifiers

PMID25041407
PMCPMC4291304

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.