Literature DB >> 19238138

The reliability of a survey question on television viewing and associations with health risk factors in US adults.

Kelley K Pettee1, Sandra A Ham, Caroline A Macera, Barbara E Ainsworth.   

Abstract

Research into the accuracy of self-reported measures used to quantify physical inactivity has been limited. The purposes of the current report were to examine the reliability of a survey question assessing time spent watching television and to describe associations between television watching and physical activity and health risk factors. Data from this cross-sectional investigation were obtained from a study designed to evaluate a physical activity module for potential use in the 2001 Behavioral Risk Factor Surveillance System. Participants were 93 men and women (aged 45.9 (15.4) years) who answered the question pertaining to television watching during an initial visit and three follow-up visits to the study center. Intra-class correlation coefficients (ICCs) between administrations of the survey question were used to assess test-retest reliability. Spearman rank order correlation coefficients were used to examine the associations of television viewing with physical activity and health risk factors. The test-retest reliability of the television-watching question suggested moderate agreement (ICCs of 0.42 and 0.55 over a 3-week and 1-week period, respectively). After adjustment for age and sex, reported television-watching hours were positively associated with BMI (P = 0.0002), percentage fat (P = 0.0001), and light-intensity physical activity (P = 0.006) and negatively associated with cardiorespiratory fitness (P = 0.004) and moderate-intensity and hard-intensity physical activity (P = 0.03 and P = 0.003, respectively). Increased time spent in sedentary behaviors has been identified as a major modifiable risk factor in the development of chronic diseases and conditions. The single-item survey question evaluated in this study was shown to be a reliable measure of television watching and was associated with physical activity and health risk factor outcomes.

Entities:  

Mesh:

Year:  2008        PMID: 19238138     DOI: 10.1038/oby.2008.554

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  16 in total

Review 1.  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

2.  National School Lunch Program participation and sex differences in body mass index trajectories of children from low-income families.

Authors:  Daphne C Hernandez; Lori A Francis; Emily A Doyle
Journal:  Arch Pediatr Adolesc Med       Date:  2010-12-06

3.  Racial Differences in Obesity-Related Risk Factors Between 2-Year-Old Children Born of Overweight Mothers.

Authors:  Bernard F Fuemmeler; Marissa Stroo; Chien-Ti Lee; Sharnail Bazemore; Brooke Blocker; Truls Østbye
Journal:  J Pediatr Psychol       Date:  2015-03-21

4.  Genre-Specific Cultivation Effects: Lagged Associations between Overall TV Viewing, Local TV News Viewing, and Fatalistic Beliefs about Cancer Prevention.

Authors:  Chul-Joo Lee; Jeff Niederdeppe
Journal:  Communic Res       Date:  2011-12

5.  Changes in leisure-time physical activity and sedentary behaviour at retirement: a prospective study in middle-aged French subjects.

Authors:  Mathilde Touvier; Sandrine Bertrais; Hélène Charreire; Anne-Claire Vergnaud; Serge Hercberg; Jean-Michel Oppert
Journal:  Int J Behav Nutr Phys Act       Date:  2010-02-04       Impact factor: 6.457

6.  Association of workplace chronic and acute stressors with employee weight status: data from worksites in turmoil.

Authors:  Isabel Diana Fernandez; Haiyan Su; Hayan Su; Paul C Winters; Hua Liang
Journal:  J Occup Environ Med       Date:  2010-01       Impact factor: 2.162

7.  The independent and combined effects of exercise training and reducing sedentary behavior on cardiometabolic risk factors.

Authors:  Sarah Kozey Keadle; Kate Lyden; John Staudenmayer; Amanda Hickey; Richard Viskochil; Barry Braun; Patty S Freedson
Journal:  Appl Physiol Nutr Metab       Date:  2014-01-07       Impact factor: 2.665

8.  Disentangling individual, school, and neighborhood effects on screen time among adolescents and young adults in the United States.

Authors:  Hoda S Abdel Magid; Carly E Milliren; Kelley Pettee Gabriel; Jason M Nagata
Journal:  Prev Med       Date:  2020-12-07       Impact factor: 4.018

Review 9.  A systematic review of publications assessing reliability and validity of the Behavioral Risk Factor Surveillance System (BRFSS), 2004-2011.

Authors:  Carol Pierannunzi; Shaohua Sean Hu; Lina Balluz
Journal:  BMC Med Res Methodol       Date:  2013-03-24       Impact factor: 4.615

10.  Assessing the online social environment for surveillance of obesity prevalence.

Authors:  Rumi Chunara; Lindsay Bouton; John W Ayers; John S Brownstein
Journal:  PLoS One       Date:  2013-04-24       Impact factor: 3.240

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