reclining posture, 2 and it should be distinguished from “physical inactivity.” 1 Of various sedentary behaviors, television viewing (TV) time still remains the most prevalent in Finland despite the proliferation of other electronic devices. 3 Increased TV time has been found to be associated with more
Xiaolin Yang, Irinja Lounassalo, Anna Kankaanpää, Mirja Hirvensalo, Suvi P. Rovio, Asko Tolvanen, Stuart J.H. Biddle, Harri Helajärvi, Sanna H. Palomäki, Kasper Salin, Nina Hutri-Kähönen, Olli T. Raitakari and Tuija H. Tammelin
Ítalo Ribeiro Lemes, Xuemei Sui, Bruna Camilo Turi-Lynch, Steven N. Blair, Rômulo Araújo Fernandes, Jamile Sanches Codogno and Henrique Luiz Monteiro
Board Committee of the São Paulo State University (UNESP), Bauru, Brazil, reviewed and approved the study protocol and all participants included in the study signed a consent form. TV Viewing and Physical Activity Television viewing and PA were assessed through a validated questionnaire ( Baecke, Burema
André O. Werneck, Edilson S. Cyrino, Paul J. Collings, Enio R.V. Ronque, Célia L. Szwarcwald, Luís B. Sardinha and Danilo R. Silva
equivalents while in a sitting or reclining posture, 2 has been shown to exhibit associations with cardiovascular disease and mortality. 3 , 4 Levels of television (TV) viewing are known to be high in Brazilian adults, 5 but the population distribution of TV viewing has not thoroughly been investigated
Jelle Van Cauwenberg, Liesbeth De Donder, Peter Clarys, Ilse De Bourdeaudhuij, Neville Owen, Sarah Dury, Nico De Witte, Tine Buffel, Dominique Verté and Benedicte Deforche
Sedentary behaviors (involving prolonged sitting) can be associated detrimentally with health outcomes. Older adults, the most sedentary age group, are especially at risk due to their high levels of television viewing time. This study examined individual, social, and physical environmental correlates of older adults’ television viewing. Data on daily television viewing time, plus individual, social, and physical environmental factors were collected from 50,986 noninstitutionalized older adults (≥ 65 years) in Flanders (Belgium). The results showed significant relationships between television viewing time and individual, social, and physical environmental factors. Subgroups at risk for high levels of television viewing were those who were functionally limited, less educated, widowed, and (semi)urban-dwelling older adults. Our findings illustrate a cross-sectional link between older adults’ television viewing time and social composition of their neighborhood, formal participation, access to alternative activities, and safety from crime.
Maureen T. McGuire, Dianne R. Neumark-Sztainer and Mary Story
This study assessed whether the correlates related to physical activity and television viewing differed across gender, grade, and racial groups. Adolescents (n = 4746) from 31 junior and senior high schools completed a self-administered survey. Adolescents’ physical activity was related to their families’ and friends’ fitness concerns. Adolescents’ physical activity was also related to their own fitness and health concerns. Few correlates of physical activity differed by gender, age, or race. Television viewing was negatively related to the family’s fitness concerns and health concerns; however, these factors accounted for a small amount of the variance in adolescents’ television viewing. None of the factors related to television viewing differed by age or race groups. Future studies will need to identify the factors related to physical activity and television viewing among adolescents who are at greatest risk for inactivity.
Janet E. Fulton, Xuewen Wang, Michelle M. Yore, Susan A. Carlson, Deborah A. Galuska and Carl J. Caspersen
To examine the prevalence of television (TV) viewing, computer use, and their combination and associations with demographic characteristics and body mass index (BMI) among U.S. youth.
The 1999 to 2006 National Health and Nutrition Examination Survey (NHANES) was used. Time spent yesterday sitting and watching television or videos (TV viewing) and using the computer or playing computer games (computer use) were assessed by questionnaire.
Prevalence (%) of meeting the U.S. objective for TV viewing (≤2 hours/day) ranged from 65% to 71%. Prevalence of no computer use (0 hours/day) ranged from 23% to 45%. Non-Hispanic Black youth aged 2 to 15 years were less likely than their non-Hispanic White counterparts to meet the objective for TV viewing. Overweight or obese school-age youth were less likely than their normal weight counterparts to meet the objective for TV viewing
Computer use is prevalent among U.S. youth; more than half of youth used a computer on the previous day. The proportion of youth meeting the U.S. objective for TV viewing is less than the target of 75%. Time spent in sedentary behaviors such as viewing TV may contribute to overweight and obesity among U.S. youth.
Gerson Luis de Moraes Ferrari, Timoteo Leandro Araujo, Luis Oliveira, Victor Matsudo, Emily Mire, Tiago V. Barreira, Catrine Tudor-Locke and Peter T. Katzmarzyk
Studies have found an association between television (TV) viewing and physical activity levels. The purpose of this study was to examine the association between TV viewing and physical activity in 10-year-old Brazilian children.
The sample consisted of 485 children. Self-reported TV viewing on weekdays and weekends was assessed by questionnaire. An Actigraph GT3X+ accelerometer was used to monitor the range of physical activity intensities (including moderate-to-vigorous physical activity; MVPA), sedentary behavior (SB) and steps/day over 7 days.
Daily MVPA was highest among children viewing TV <1 hour/day (69 min) compared with children viewing 1 to 2 hours/day (61 min), 3 to 4 hours/day (55 min) and ≥ 5 hours/day (59 min) on weekdays (P = .0015). Differences in MVPA were not observed across TV categories on weekends. The prevalence of reaching 60 min/day of MVPA and 12,000 steps/day on weekdays was significantly greater in children viewing ≤ 2 hours/day (51.7% and 23.5%, respectively) compared with those viewing > 2 hours/day (38.6%, P = .0058; and 15.1%, P = .0291, respectively). There was no difference in SB across TV viewing categories.
Time spent in MVPA and the frequency of meeting MVPA guidelines were significantly higher among children viewing ≤ 2 hours/day of TV on weekdays compared with those viewing more.
Gavin Abbott, Jill Hnatiuk, Anna Timperio, Jo Salmon, Keren Best and Kylie D. Hesketh
Parental modeling has been shown to be important for school-aged children’s physical activity (PA) and television (TV) viewing, yet little is known about its impact for younger children. This study examined cross-sectional and 3-year longitudinal associations between PA and TV viewing behaviors of parents and their preschool children.
In 2008–2009 (T1), parents in the Healthy Active Preschool and Primary Years (HAPPY) cohort study (n = 450) in Melbourne, Australia, self-reported their weekly PA and TV viewing and proxy-reported their partner’s PA and TV viewing and their 3- to 5-year-old preschool child’s TV viewing. Children’s PA was assessed via accelerometers. Repeat data collection occurred in 2011–2012 (T2).
Mothers’ and fathers’ PAs were associated with PA among preschool girls at T1, but not boys. Parents’ TV viewing times were significant correlates of girls’ and boys’ TV viewing at T1. Longitudinally, mothers’ PA at baseline predicted boys’ PA at T2, whereas sex-specific associations were found for TV viewing, with mothers’ and fathers’ TV viewing at T1 associated with girls’ and boys’ TV viewing respectively at T2.
The PA and TV viewing of both parents are significantly associated with these behaviors in preschool children. The influence of the sex-matched parent appears to be important longitudinally for children’s TV viewing.
Bronwyn Kay Clark, Takemi Sugiyama, Genevieve N. Healy, Jo Salmon, David W. Dunstan, Jonathan E. Shaw, Paul Z. Zimmet and Neville Owen
Sedentary behaviors, particularly television viewing (TV) time, are associated with adverse health outcomes in adults, independent of physical activity levels. These associations are stronger and more consistent for women than for men.
Multivariate regression models examined the sociodemographic correlates of 2 categories of TV time (≥2 hours/day and ≥4 hours/day); in a large, population-based sample of Australian adults (4950 men, 6001 women; mean age 48.1 years, range 25–91) who participated in the 1999/2000 Australian Diabetes, Obesity, and Lifestyle (AusDiab) study.
Some 46% of men and 40% of women watched ≥ 2 hours TV/day; 9% and 6% respectively watched ≥ 4 hours/day. For both men and women, ≥2 hours TV/day was associated with less than tertiary education, living outside of state capital cities, and having no paid employment. For women, mid and older age (45−64 and 65+) were also significant correlates of ≥2 hours TV/day. Similar patterns of association were observed in those viewing ≥4 hours/day.
Prolonged TV time is associated with indices of social disadvantage and older age. These findings can inform the understanding of potential contextual influences and guide preventive initiatives.
Ellen De Decker, Kylie Hesketh, Marieke De Craemer, Trina Hinkley, Ilse De Bourdeaudhuij, Jo Salmon and Greet Cardon
Television viewing is highly prevalent in preschoolers (3–5 years). Because of the adverse health outcomes related to this behavior, it is important to investigate associations and mediators of young children’s television viewing time. This study investigated whether parental rules regarding television viewing time and parental concerns about screen viewing activities mediated the association between parents’ and preschoolers’ television viewing time.
Mediation analyses were performed with the product-of-coefficient test on data derived from the Australian HAPPY study (n = 947) and the Belgian sample of the ToyBox-study (n = 1527). Parents reported their own and their child’s television viewing time, their rules regarding television viewing and concerns about their child’s screen viewing activities.
Parents’ television viewing time was directly associated with preschoolers’ television viewing time and parental rule for television viewing time mediated this association in both samples (14.4% and 8.1% in the Australian and Belgian samples, respectively).
This study is unique in examining the mediating pathway of parental television viewing and a rule limiting TV viewing time and whether this is consistent in different samples. Due to the consistent importance, both parents’ television viewing time and rules should be targeted in interventions to decrease preschoolers’ television viewing time.