Cited by 137Physical Activity and HealthObesity, Physical Activity, DietSleep and related disorders

Relationship of Television Time with Accelerometer-Derived Sedentary Time: NHANES

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CLARK, BRONWYN K., HEALY, GENEVIEVE N., WINKLER, ELISABETH A. H., GARDINER, PAUL A., SUGIYAMA, TAKEMI, DUNSTAN, DAVID W., MATTHEWS, CHARLES E., OWEN, NEVILLE·2011·Medicine & Science in Sports & Exercise

Abstract

PURPOSE: To examine the relationship of self-reported television (TV) viewing time with accelerometer-derived total sedentary time and to determine whether it differs by subgroup. METHODS: Using data for adults (≥20 yr) from the 2003-2004 and 2005-2006 nationally representative US National Health and Nutrition Examination Surveys (NHANES; n=5738), linear regression models examined the associations of categories of self-reported TV viewing time (<1, 1, 2, 3, 4, and >5 h·d) with accelerometer-derived sedentary time (<100 counts per minute; h·d). Spearman ρ assessed the correlation between participants' rankings on the two measures. Analyses were stratified by gender, age, race/ethnicity, and, in the 2003-2004 NHANES cycle, by work status among working-aged adults (20-65 yr, n=2069). RESULTS: TV viewing time was significantly associated with sedentary time, with positive associations for all gender, age, race/ethnicity groups, and for those not working or working part-time, but not for those in full-time work. However, correlations between rankings of the measures were only "fair" overall (ρ=0.22) and were similar for all gender and racial/ethnic groups and for those of mid- and older age but not for those of younger age (20-39 yr, ρ=0.05). In the working-aged subgroup, there was also a fair correlation between the measures for those not working (ρ=0.22) but no significant correlation for those in part-time (ρ=0.14) or full-time work (ρ=0.03). CONCLUSIONS: Associations of TV viewing time with accelerometer-derived total sedentary time were statistically significant, but correlations were of only fair magnitude, and the strength of the relationship was not consistent across all population subgroups. These findings suggest that TV viewing time has an influence on overall sedentary time at a population level; however, measurement of sedentary time in other domains is also important.

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Authors
CLARK, B. K., HEALY, G. N., WINKLER, E. A. H., GARDINER, P. A., SUGIYAMA, T., DUNSTAN, D. W., MATTHEWS, C. E., & OWEN, N.
Affiliations
  • The University of Queensland (AU)
  • Baker Heart and Diabetes Institute (AU)
  • Edith Cowan University (AU)
  • National Institutes of Health (US)
Venue
Medicine & Science in Sports & Exercise
Published
2011-05
Volume
43
Issue
5
Pages
822-828
ISSN
0195-9131 (ISSN-L)
OpenAlex
W2028234299
Cited by
136
References
43
Citations by year
2026: 3 · 2025: 3 · 2024: 4 · 2023: 9 · 2022: 11 · 2021: 6 · 2020: 9 · 2019: 7 · 2018: 7 · 2017: 6 · 2016: 12 · 2015: 8 · 2014: 16 · 2013: 18 · 2012: 10
FWCI
7.58
Type
journal article
Language
en
Open access
Locations
  • Medicine & Science in Sports & Exercise (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Edith Cowan University Research Online (Edith Cowan University) (submittedVersion)
  • Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
  • eSpace (Curtin University) (submittedVersion)
  • Swinburne figshare (Swinburne University of Technology) (submittedVersion)
Funders
National Institutes of Health (Z99 CA999999)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
Keywords
television viewing time, sedentary behavior, accelerometer-measured sedentary time, measurement agreement, subgroup differences, working-age adults, part-time work, full-time employment, gender differences, age differences, racial and ethnic differences
MeSH terms
Adult, Aged, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Nutrition Surveys, Television, United States, Linear Models, Young Adult, Actigraphy, Sedentary Behavior

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