Literature DB >> 20117553

Identifying subgroups of U.S. adults at risk for prolonged television viewing to inform program development.

Abby C King1, Jennifer H Goldberg, Jo Salmon, Neville Owen, David Dunstan, Deanne Weber, Colleen Doyle, Thomas N Robinson.   

Abstract

BACKGROUND: Although adverse health effects of prolonged TV viewing have been increasingly recognized, little population-wide information is available concerning subgroups at greatest risk for this behavior.
PURPOSE: This study sought to identify, in a U.S. population-derived sample, combinations of variables that defined subgroups with higher versus lower levels of usual TV-viewing time.
METHODS: A total of 5556 adults from a national consumer panel participated in the mail survey in 2001 (55% women, 71% white, 13% black, and 11% Hispanic). Nonparametric risk classification analyses were conducted in 2008.
RESULTS: Subgroups with the highest proportions of people watching >14 hours/week of TV were identified and described using a combination of demographic (i.e., lower household incomes, divorced/separated); health and mental health (i.e., poorer rated overall health, higher BMI, more depression); and behavioral (i.e., eating dinner in front of the TV, smoking, less physical activity) variables. The subgroup with the highest rates of TV viewing routinely ate dinner while watching TV and had lower income and poorer health. Prolonged TV viewing also was associated with perceived aspects of the neighborhood environment (i.e., heavy traffic and crime, lack of neighborhood lighting, and poor scenery).
CONCLUSIONS: The results can help inform intervention development in this increasingly important behavioral health area. 2010 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20117553     DOI: 10.1016/j.amepre.2009.08.032

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  27 in total

1.  Associations between perceived neighborhood environmental attributes and adults' sedentary behavior: findings from the U.S.A., Australia and Belgium.

Authors:  Delfien Van Dyck; Ester Cerin; Terry L Conway; Ilse De Bourdeaudhuij; Neville Owen; Jacqueline Kerr; Greet Cardon; Lawrence D Frank; Brian E Saelens; James F Sallis
Journal:  Soc Sci Med       Date:  2012-02-23       Impact factor: 4.634

2.  Characterizing user engagement with health app data: a data mining approach.

Authors:  Katrina J Serrano; Kisha I Coa; Mandi Yu; Dana L Wolff-Hughes; Audie A Atienza
Journal:  Transl Behav Med       Date:  2017-06       Impact factor: 3.046

3.  The Influence of Neighborhood Social Capital on Leisure-Time Physical Activity: a Population-Based Study in Brazil.

Authors:  Daiana Elias Rodrigues; Cibele Comini César; Ichiro Kawachi; César Coelho Xavier; Waleska Teixeira Caiaffa; Fernando Augusto Proietti
Journal:  J Urban Health       Date:  2018-10       Impact factor: 3.671

4.  Too much sitting: the population health science of sedentary behavior.

Authors:  Neville Owen; Geneviève N Healy; Charles E Matthews; David W Dunstan
Journal:  Exerc Sport Sci Rev       Date:  2010-07       Impact factor: 6.230

5.  A comparison of total and domain-specific sedentary time in breast cancer survivors and age-matched healthy controls.

Authors:  Allyson Tabaczynski; Alexis Whitehorn; Edward McAuley; Linda Trinh
Journal:  J Behav Med       Date:  2020-11-13

6.  Physical activity in young adults: a signal detection analysis of Health Information National Trends Survey (HINTS) 2007 data.

Authors:  Carmina G Valle; Deborah F Tate; Deborah K Mayer; Marlyn Allicock; Jianwen Cai; Marci K Campbell
Journal:  J Health Commun       Date:  2014-11-06

7.  Associations of perceived neighborhood physical and social environments with physical activity and television viewing in African-American men and women.

Authors:  Larkin L Strong; Lorraine R Reitzel; David W Wetter; Lorna H McNeill
Journal:  Am J Health Promot       Date:  2013-02-11

8.  Screen-Related Parenting Practices in Low-Income Mexican American Families.

Authors:  Darcy A Thompson; Sarah J Schmiege; Susan L Johnson; Elizabeth A Vandewater; Richard E Boles; Ruth E Zambrana; Jerusha Lev; Jeanne M Tschann
Journal:  Acad Pediatr       Date:  2018-05-17       Impact factor: 3.107

9.  Mental health and family functioning as correlates of a sedentary lifestyle among low-income women with young children.

Authors:  Kaigang Li; Kirsten K Davison; Janine M Jurkowski
Journal:  Women Health       Date:  2012

10.  TV viewing and BMI by race/ethnicity and socio-economic status.

Authors:  Kerem Shuval; Kelley Pettee Gabriel; Tammy Leonard
Journal:  PLoS One       Date:  2013-05-15       Impact factor: 3.240

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