Literature DB >> 20980928

Relationship of television time with accelerometer-derived sedentary time: NHANES.

Bronwyn K Clark1, Genevieve N Healy, Elisabeth A H Winkler, Paul A Gardiner, Takemi Sugiyama, David W Dunstan, Charles E Matthews, Neville Owen.   

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.
© 2011 by the American College of Sports Medicine

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Year:  2011        PMID: 20980928     DOI: 10.1249/MSS.0b013e3182019510

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  63 in total

1.  Antihypertensive medications and physical function in older persons.

Authors:  Carlos A Vaz Fragoso; Gail J McAvay
Journal:  Exp Gerontol       Date:  2020-06-25       Impact factor: 4.032

2.  Physical inactivity and long-term rates of community-acquired sepsis.

Authors:  Henry E Wang; John Baddley; Russell L Griffin; Suzanne Judd; George Howard; John P Donnelly; Monika M Safford
Journal:  Prev Med       Date:  2014-04-24       Impact factor: 4.018

3.  Patterns of Change in Device-Based Physical Activity and Sedentary Time Following Bariatric Surgery: a Longitudinal Observational Study.

Authors:  Juliana Zabatiero; Anne Smith; Daniel F Gucciardi; Jeffrey M Hamdorf Am; Susan F Taylor; Kylie Hill
Journal:  Obes Surg       Date:  2021-03-13       Impact factor: 4.129

4.  Respiratory impairment and dyspnea and their associations with physical inactivity and mobility in sedentary community-dwelling older persons.

Authors:  Carlos A Vaz Fragoso; Daniel P Beavers; John L Hankinson; Gail Flynn; Kathy Berra; Stephen B Kritchevsky; Christine K Liu; Mary M McDermott; Todd M Manini; W Jack Rejeski; Thomas M Gill
Journal:  J Am Geriatr Soc       Date:  2014-03-17       Impact factor: 5.562

5.  Commuting distance, cardiorespiratory fitness, and metabolic risk.

Authors:  Christine M Hoehner; Carolyn E Barlow; Peg Allen; Mario Schootman
Journal:  Am J Prev Med       Date:  2012-06       Impact factor: 5.043

Review 6.  Measurement of adults' sedentary time in population-based studies.

Authors:  Genevieve N Healy; Bronwyn K Clark; Elisabeth A H Winkler; Paul A Gardiner; Wendy J Brown; Charles E Matthews
Journal:  Am J Prev Med       Date:  2011-08       Impact factor: 5.043

7.  Longitudinal Sedentary Time Among Females Aged 17 to 23 Years.

Authors:  Deborah R Young; Margo A Sidell; Corinna Koebnick; Brit I Saksvig; Yasmina Mohan; Deborah A Cohen; Tong Tong Wu
Journal:  Am J Prev Med       Date:  2019-02-15       Impact factor: 5.043

8.  Does Childhood Temperamental Activity Predict Physical Activity and Sedentary Behavior over a 30-Year Period? Evidence from the Young Finns Study.

Authors:  Xiaolin Yang; Kaisa Kaseva; Liisa Keltikangas-Järvinen; Laura Pulkki-Råback; Mirja Hirvensalo; Markus Jokela; Mirka Hintsanen; Taina Hintsa; Anna Kankaanpää; Risto Telama; Nina Hutri-Kähönen; Jorma S A Viikari; Olli T Raitakari; Tuija Tammelin
Journal:  Int J Behav Med       Date:  2017-04

9.  Use of Time and Energy on Exercise, Prolonged TV Viewing, and Work Days.

Authors:  Charles E Matthews; Sarah Kozey Keadle; Pedro F Saint-Maurice; Steven C Moore; Erik A Willis; Joshua N Sampson; David Berrigan
Journal:  Am J Prev Med       Date:  2018-07-19       Impact factor: 5.043

Review 10.  Using accelerometers to measure physical activity in large-scale epidemiological studies: issues and challenges.

Authors:  I-Min Lee; Eric J Shiroma
Journal:  Br J Sports Med       Date:  2013-12-02       Impact factor: 13.800

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