Cited by 161Physical Activity and HealthObesity, Physical Activity, DietDiabetes, Cardiovascular Risks, and Lipoproteins

Increased Cardiometabolic Risk Is Associated with Increased TV Viewing Time

Open access
WIJNDAELE, KATRIEN, HEALY, GENEVIEVE N., DUNSTAN, DAVID W., BARNETT, ADRIAN G., SALMON, JO, SHAW, JONATHAN E., ZIMMET, PAUL Z., OWEN, NEVILLE·2010·Medicine & Science in Sports & Exercise

Abstract

PURPOSE: Television viewing time, independent of leisure time physical activity, has cross-sectional relationships with the metabolic syndrome and its individual components. We examined whether baseline and 5-yr changes in self-reported television viewing time are associated with changes in continuous biomarkers of cardiometabolic risk (waist circumference, triglycerides, HDL-cholesterol, systolic and diastolic blood pressure, fasting plasma glucose, and a clustered cardiometabolic risk score) in Australian adults. METHODS: The Australian Diabetes, Obesity and Lifestyle Study (AusDiab) is a prospective, population-based cohort study with biological, behavioral, and demographic measures collected in 1999-2000 and 2004-2005. Noninstitutionalized adults aged > or =25 yr were measured at baseline (11,247; 55% of those completing an initial household interview); 6400 took part in the 5-yr follow-up biomedical examination, and 3846 met the inclusion criteria for this analysis. Multiple linear regression analysis was used, and unstandardized B coefficients (95% confidence intervals (CI)) are provided. RESULTS: Baseline television viewing time (10 h.wk-1 unit) was not significantly associated with change in any of the biomarkers of cardiometabolic risk. Increases in television viewing time over 5 yr (10 h.wk-1 unit) were associated with increases in waist circumference (men: 0.43 cm, 95% CI = 0.08-0.78 cm, P = 0.02; women: 0.68 cm, 95% CI = 0.30-1.05, P < 0.001), diastolic blood pressure (women: 0.47 mm Hg, 95% CI = 0.02-0.92 mm Hg, P = 0.04), and the clustered cardiometabolic risk score (women: 0.03, 95% CI = 0.01-0.05, P = 0.007). These associations were independent of baseline television viewing time and baseline and change in physical activity and other potential confounders. CONCLUSIONS: These findings indicate that an increase in television viewing time is associated with adverse cardiometabolic biomarker changes. Further prospective studies using objective measures of several sedentary behaviors are required to confirm causality of the associations found.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1249/mss.0b013e3181d322ac

Cites

24 of 24 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Willett W. Nutritional Epidemiology. 2nd ed. Oxford University Press, New York; 1998. 514 p.

Cited by

Sorted by citations

Authors
WIJNDAELE, K., HEALY, G. N., DUNSTAN, D. W., BARNETT, A. G., SALMON, J., SHAW, J. E., ZIMMET, P. Z., & OWEN, N.
Affiliations
  • The University of Queensland (AU)
  • Baker Heart and Diabetes Institute (AU)
  • Queensland University of Technology (AU)
  • Deakin University (AU)
Venue
Medicine & Science in Sports & Exercise
Published
2010-08
Volume
42
Issue
8
Pages
1511-1518
ISSN
0195-9131 (ISSN-L)
OpenAlex
W2098669683
Cited by
161
References
24
Citations by year
2026: 1 · 2025: 1 · 2024: 5 · 2023: 5 · 2022: 6 · 2021: 9 · 2020: 5 · 2019: 11 · 2018: 6 · 2017: 16 · 2016: 10 · 2015: 17 · 2014: 19 · 2013: 18 · 2012: 12
FWCI
10.83
Type
journal article
Language
en
Open access
Locations
  • Medicine & Science in Sports & Exercise (publishedVersion)
  • PubMed (publishedVersion)
  • QUT ePrints (Queensland University of Technology) (submittedVersion)
  • eSpace (Curtin University) (submittedVersion)
  • Swinburne figshare (Swinburne University of Technology) (submittedVersion)
Funders
  • Sanofi
  • Queensland Health
  • National Heart Foundation of Australia
  • Medical Research Council
  • National Health and Medical Research Council (569861, 233200, 301200)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Keywords
television viewing, sedentary behavior, cardiometabolic risk, metabolic syndrome, waist circumference, diastolic blood pressure, triglycerides, HDL cholesterol, fasting blood glucose, physical activity, AusDiab, sex differences, adults, lifestyle risk factors, obesity, cardiovascular risk, diabetes risk, lifestyle intervention
MeSH terms
Adult, Australia, Blood Glucose, Blood Pressure, Cross-Sectional Studies, Fasting, Female, Follow-Up Studies, Humans, Cholesterol, HDL, Male, Middle Aged, Prospective Studies, Risk, Television, Triglycerides, Cohort Studies, Biomarkers, Metabolic Syndrome, Waist Circumference, Sedentary Behavior

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review