Cited by 35Physical Activity and HealthChronic Kidney Disease and DiabetesBlood Pressure and Hypertension Studies

Television Viewing Time and Risk of Chronic Kidney Disease in Adults: The AusDiab Study

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Lynch, Brigid M., White, Sarah L., Owen, Neville, Healy, Genevieve N., Chadban, Steven J., Atkins, Robert C., Dunstan, David W.·2010·Annals of Behavioral Medicine

Abstract

BACKGROUND: Television viewing time independent of physical activity is associated with a number of chronic diseases and related risk factors; however, its relationship with chronic kidney disease is unknown. PURPOSE: The purpose of this study is to examine the cross-sectional and prospective relationships of television viewing time with biomarkers of chronic kidney disease. METHODS: Participants of the Australian Diabetes, Obesity and Lifestyle Study attended the baseline (n = 10,847) and 5-year follow-up (n = 6,293) examination. RESULTS: Television viewing was significantly associated with increased odds of prevalent albuminuria and low estimated glomerular filtration rate. In the gender-stratified analyses this pattern was seen for men, but not for women. In the longitudinal analyses, odds of de novo albuminuria and low estimated glomerular filtration rate were increased only in unadjusted models. CONCLUSIONS: Television viewing time may be directly related to markers of chronic kidney disease and through intertwined associated risk factors such as diabetes, hypertension, and obesity.

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  • The Australian Diabetes, Obesity, and Lifestyle Study found that increased television watching or low self-reported leisure-time physical activity were associated with increased odds of albuminuria and low estimated glomerular filtration rate in 6,000 subjects.

    “In contrast, the Australian Diabetes, Obesity, and Lifestyle Study found that increased television watching or low self-reported leisure-time physical activity were associated with increased odds ratio of albuminuria and low estimated glomerular filtration rate in 6,000 subjects (325, 558).”

    From Lack of Exercise Is a Major Cause of Chronic Diseases (2012) · cites this paper as [325]

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References 42 · Cited by 35

Authors
Lynch, B. M., White, S. L., Owen, N., Healy, G. N., Chadban, S. J., Atkins, R. C., & Dunstan, D. W.
Affiliations
  • Alberta Health Services (CA)
  • The University of Sydney (AU)
  • The University of Queensland (AU)
  • Baker Heart and Diabetes Institute (AU)
Corresponding author
Dunstan, David W.
Venue
Annals of Behavioral Medicine
Published
2010-08-26
Volume
40
Issue
3
Pages
265-274
ISSN
  • 0742-5554 (ISSN-L)
  • 0883-6612
  • 1532-4796
OpenAlex
W1980448245
Cited by
35
References
42
Citations by year
2025: 2 · 2023: 1 · 2022: 5 · 2021: 4 · 2020: 6 · 2019: 1 · 2017: 1 · 2016: 2 · 2015: 2 · 2014: 4 · 2012: 4
FWCI
1.52
Type
journal article
Language
en
Open access
Locations
  • Annals of Behavioral Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • eSpace (Curtin University) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
  • Swinburne figshare (Swinburne University of Technology) (submittedVersion)
Funders
  • U.S. Department of Health and Human Services
  • Bristol-Myers Squibb
  • Queensland Health
  • Australian Government
  • National Heart Foundation of Australia
  • Baker Heart and Diabetes Institute
  • National Health and Medical Research Council
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
Keywords
television viewing, sedentary behavior, chronic kidney disease, albuminuria, estimated glomerular filtration rate, diabetes mellitus, hypertension, obesity, sex differences, AusDiab
MeSH terms
Adult, Aged, Albuminuria, Australia, Chronic Disease, Cross-Sectional Studies, Female, Glomerular Filtration Rate, Humans, Kidney Diseases, Male, Middle Aged, Obesity, Surveys and Questionnaires, Risk, Television, Biomarkers, Body Mass Index, Logistic Models, Sedentary Behavior

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