Evidence map›Paper›PMID 25050178›Full record

ArticleJournal of obesity2014

Hostility modifies the association between TV viewing and cardiometabolic risk.

Anthony Fabio, Chung-Yu Chen, Kevin H Kim, Darin Erickson, David R Jacobs, Janice C Zgibor, Tammy Chung, Karen A Matthews, Steven Sidney, Carlos Iribarren and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of obesity, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Anthony FabioDepartment of Epidemiology, Graduate School of Public Health, Epidemiology Data Coordinating Center, University of Pittsburgh, 130 DeSoto Street, 127 Parran Hall, Pittsburgh, PA 15261, USA.
Chung-Yu ChenDepartment of Epidemiology, Graduate School of Public Health, Epidemiology Data Coordinating Center, University of Pittsburgh, 130 DeSoto Street, 127 Parran Hall, Pittsburgh, PA 15261, USA.
Kevin H KimDepartment of Psychology in Education, School of Education, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Darin EricksonDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55454, USA.
David R JacobsDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55454, USA.
Janice C ZgiborDepartment of Epidemiology, Graduate School of Public Health, Epidemiology Data Coordinating Center, University of Pittsburgh, 130 DeSoto Street, 127 Parran Hall, Pittsburgh, PA 15261, USA.
Tammy ChungDepartments of Psychiatry and Epidemiology, School of Medicine, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Karen A MatthewsDepartments of Psychiatry and Epidemiology, School of Medicine, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Steven SidneyDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Carlos IribarrenDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Mark A PereiraDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55454, USA.

Funding

VASCULAR CALCIUM--AN EPIDEMIOLOGIC STUDYR01HL048050 · NHLBI · UNIVERSITY OF IOWA · PI MAHONEY, LARRY T · 1992 to 2004
$3.0M
Housing Relocation Initiatives on Community-Level ViolenU49CE000764 · CE · CARNEGIE-MELLON UNIVERSITY · PI COHEN, JACQUELINE · 2005 to 2008
$906k
CORONARY ARTERY DISEASE RISK DEVELOPMENT IN YOUNG ADULTS-N01HC95095-268095095N01HC095095 · HC · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI WILLIAMS, DALE · 1989 to 2006
$376k
CORONARY HEART DISEASE RISK IN YOUNG ADULTSN01HC048047 · HC · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LEWIS, CORA E · 1985 to 2000
$171k
Television Viewing and Risk of Injury & Chronic Disease MorbidityR03AG028504 · NIA · UNIVERSITY OF MINNESOTA · PI PEREIRA, MARK A · 2008 to 2009
$136k
STUDY CORONARY HEART DISEASE RISK IN YOUNG ADULTSN01HC048050 · HC · KAISER FOUNDATION RESEARCH INSTITUTE · PI SIDNEY, STEPHEN · 1985 to 2000
$102k
STUDY CORONARY HEART DISEASE RISK IN YOUNG ADULTSN01HC048049 · HC · NORTHWESTERN UNIVERSITY · PI LIU, KIANG JOHN · 1985 to 2000
$71k
STUDY CORONARY HEART DISEASE RISK IN YOUNG ADULTSN01HC048048 · HC · UNIVERSITY OF MINNESOTA TWIN CITIES · PI SCHREINER, PAMELA J · 1985 to 2000
$53k
NCIPC CDC HHS U49 CE000764NCIPC CDC HHS U49-CE000764NHLBI NIH HHS N01 HC048047NHLBI NIH HHS N01 HC048050NHLBI NIH HHS N01 HC095095NHLBI NIH HHS N01-HC-48047NHLBI NIH HHS N01-HC-48048NHLBI NIH HHS N01-HC-48049NHLBI NIH HHS N01-HC-48050NHLBI NIH HHS N01-HC-95095NIA NIH HHS R03 AG028504NIA NIH HHS R03AG028504
6 · The paper itself

Abstract

backgroundIt was hypothesized that television viewing is predictive of cardiometabolic risk. Moreover, people with hostile personality type may be more susceptible to TV-induced negative emotions and harmful health habits which increase occurrence of cardiometabolic risk. PURPOSE: The prospective association of TV viewing on cardiometabolic risk was examined along with whether hostile personality trait was a modifier.

methodsA total of 3,269 Black and White participants in the coronary artery risk development in young adults (CARDIA) study were assessed from age 23 to age 35. A cross-lagged panel model at exam years 5, 10, 15, and 20, covering 15 years, was used to test whether hours of daily TV viewing predicted cardiometabolic risk, controlling confounding variables. Multiple group analysis of additional cross-lagged panel models stratified by high and low levels of hostility was used to evaluate whether the association was modified by the hostile personality trait.

resultsThe cross-lagged association of TV viewing at years 5 and 15 on clustered cardiometabolic risk score at years 10 and 20 was significant (B = 0.058 and 0.051), but not at 10 to 15 years. This association was significant for those with high hostility (B = 0.068 for exam years 5 to 10 and 0.057 for exam years 15 to 20) but not low hostility.

conclusionThese findings indicate that TV viewing is positively associated with cardiometabolic risk. Further, they indicate that hostility might be a modifier for the association between TV viewing and cardiometabolic risk.

Indexed as

HostilityPersonalityTelevisionAdultBlack PeopleCardiovascular DiseasesFemaleHuman ActivitiesHumansProspective StudiesRisk FactorsWhite People

Identifiers

PMID25050178
PMCPMC4094870

What OpenQuestion holds

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Registered trials

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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.