Obesity, Physical Activity, Computer Use, and TV Viewing in Portuguese Adolescents

2006 ◽  
Vol 18 (1) ◽  
pp. 113-121 ◽  
Author(s):  
Jorge Mota ◽  
José Ribeiro ◽  
Maria Paula Santos ◽  
Helena Gomes

This study aimed to examine the relationship between obesity status (body mass index: BMI) and physical and sedentary activities in adolescents. The sample comprised 230 girls and 220 boys (14.6 years old, SD = 1.6). Physical Activity (PA) was assessed by a questionnaire. Sedentary behaviors, such as TV viewing, computer use, and commuting to and from school were analyzed. Participants were categorized as nonobese or overweight/obese according to age-adapted BMI. No significant differences were found in relation to PA characteristics or in TV watching on weekdays vs. weekends. Nonobese participants spent significantly less time using computers on weekends (p = .04) and weekdays (p = .025) than their overweight/obese counterparts. Logistic regression analysis showed that those who used computers on weekdays more than 4 hrs per day were likely (odds ratio: 5.79; p < .003) to be overweight or obese. This study identified a relationship between computer use, but not physical activity or TV viewing, and weight status among Portuguese adolescents.

2020 ◽  
Author(s):  
Xiaomin Sun ◽  
Bingtong Zhao ◽  
Jin Liu ◽  
Yun Wang ◽  
Fei Xu ◽  
...  

Abstract Objectives: Examine school children’s physical activity (PA) and sedentary behaviors (SB) during 2015-2017 and study their effects on children’s weight status and their relevant gender differences in China. Methods: This open cohort study included students from 5 major cities (Beijing, Shanghai, Xi’an, Nanjing, and Chengdu) across China. Data were collected from students in 2015, 2016, and 2017 (n = 5,535) and from their parents and school personnel. Children’s weight, height, and waist circumference were measured. SB and PA factors were evaluated using questionnaires. Mixed effects models examined the relationship between weight status and PA/SB-associated factors using this longitudinal data. Results: These children had high rates of obesity (12.4%, 95% CI 11.6%-13.3%) and central obesity (28.1%, 95% CI 26.9%-29.3%) during 2015-2017. Boys were more likely to be obese (16.5% vs. 8.4%) and central obese (36.3% vs. 19.8%) and spent more time in screen viewing than girls (hours/week ± SD: 2015, 1.8 ± 2.5 vs. 1.5 ± 2.0; 2016, 2.0 ± 2.4 vs. 1.8 ± 2.5; 2017, 1.7 ± 2.3vs. 1.4 ± 2.1 hours/week). Those who walked < 5 minutes on their average daily walk to school were more likely to be obese (OR: 1.96, 95% CI 1.03-3.73) than those who spent ≥ 15 minutes on walking to school. When stratified by gender, this higher risk was only observed in girls (OR: 3.01, 95% CI 1.09-8.35). Children who spent more time in screen viewing were more likely to be obese (OR: 1.13, 95% CI 1.06-1.21) and have central obesity (OR: 1.05, 95% CI 1.02-1.09). The association for obesity was consistent in boys and girls (boys, OR: 1.15, 95% CI 1.05-1.25; girls, OR: 1.12, 95% CI 1.00-1.24). Conclusions: More screen time and less active time were risk factors for developing obesity in urban Chinese children. The associations varied by gender.


2005 ◽  
Vol 17 (4) ◽  
pp. 364-376 ◽  
Author(s):  
Russell Jago ◽  
Tom Baranowski ◽  
Debbe Thompson ◽  
Janice Baranowski ◽  
Kathryn A. Greaves

Little information about relationships between the physical activity and sedentary behaviors of young children is available in the literature. We therefore examined how sedentary behaviors, TV watching, and encouragements and discouragements for activity were associated with physical activity (as measured by observation and heart-rate monitoring) among a tri-ethnic cohort of 149 three- to four-year-old children, which we followed for three years. The results showed that sedentary behavior predicted observed activity in Years 2 and 3 (r = −.672 and −.831, respectively, R2 = .577 and .775, respectively). Similar results were obtained for heart rate monitoring. Reducing the time children spend in sedentary behavior might result in increased physical activity.


2008 ◽  
Vol 22 (4) ◽  
pp. 231-236 ◽  
Author(s):  
Nicole E. I. Smith ◽  
Ryan E. Rhodes ◽  
Patti-Jean Naylor ◽  
Heather A. McKay

Purpose. Previous research suggests that there is limited evidence to support a negative association between physical activity (PA) behaviors and television (TV) viewing time in children. The purpose of this study was to extend the research involving PA–TV viewing relationships and to explore potential moderators, including gender, ethnicity, weekday/weekend behaviors, structured/unstructured activities, and seasonal variability. Design. A 9-month longitudinal design, across one school year, with assessments every 3 months. Setting. Elementary schools in the Vancouver and Richmond districts of British Columbia, Canada. Subjects. Subjects (N = 344; 47% female) were 9- to 11-year-old children who participated in a school-based PA initiative from September 2003 to June 2004. Intervention. Not applicable. Measures. Assessments of PA were measured using the Physical Activity Questionnaire for Children. TV viewing time and structured PA were measured using a self-report questionnaire. Analysis. Basic descriptives, Pearson r bivariate correlations and moderated multiple regressions with mean centered variables. Results. No significant interaction effects were found for any of the proposed moderators. Null bivariate correlations are supportive of findings in previous literature. Conclusions. Our results did not find support for PA–TV viewing relations, regardless of gender, ethnicity, structured PA, and seasonal variability. PA interventions aimed at modifying sedentary behaviors, such as TV viewing may not be warranted.


2006 ◽  
Vol 3 (4) ◽  
pp. 365-380 ◽  
Author(s):  
Andrew E. Springer ◽  
Deanna M. Hoelscher ◽  
Steven H. Kelder

Background:Geographic differences in the prevalence of physical activity (PA) have been found among adults in the US; similar studies have not been conducted among adolescents.Methods:Using nationally representative cross-sectional data from the CDC’s 2003 Youth Risk Behavior Survey, we estimated the prevalence of PA and sedentary behaviors by metropolitan status and geographic region.Results:The prevalence of PA was lowest and prevalence of sedentary behavior highest for urban students. Students from the South reported the lowest prevalence of PA and the highest prevalence of TV watching, while students from the West generally reported the highest PA prevalence and lowest sedentary behavior prevalence. Prevalence differences ranged from < 1.0% to > 15%, with most differences falling between 5% and 10%.Conclusions:Findings mirror regional variations previously observed in adult PA. We need to understand factors that contribute to lower PA in youth living in the South and in urban settings.


Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Heather A McGrane Minton ◽  
Kelly Thevenet-Morrison ◽  
I. Diana Fernandez

Background: Sedentary behaviors (SB) are activities associated with prolonged time periods of sitting, reclining, or laying down during waking hours. While the relation between SB and physical activity is complex, the common consensus is that SB is not the absence of physical activity and consists of its own determinants posing distinct health outcomes. These behaviors are of significant public health importance as the majority of Americans spend much of their days in SB and due to the increased risks of morbidity and mortality associated with SB. Adverse health outcomes associated with SB include cardiovascular disease, obesity, metabolic syndrome, hypertension and mortality. Television-viewing time and total sitting time have both been used widely to assess time spent in SB and therefore we hypothesize that TV-viewing time and total hours sitting will have high concordance and can be used interchangeably to represent sedentary behaviors. Methods: Using a sample (n = 2858) from the Images of a Healthy Worksite study, a group-randomized control trial involving nutrition and physical activity, the current study assessed how two different tools measured time spent in SB. Tertiles were created based upon the distribution of hours sitting and hours spent TV-vewing. Weighted Kappa statistics were used to measure concordance between hours of TV-viewing and total hours of time spent sitting for the entire sample and for subgroup analyses. Results: Weighted Kappa statistics for tertiles of hours sitting and tv hours were 0.0046, indicating little agreement on the television and the sitting items. Kappa w statistics for BMI categories also showed poor agreement (obese Kappa w = 0.02, overweight Kappa w = 0.002, and healthy subjects Kappa w = 0.006. The Kappa w statistics for males and females were -0.006 and 0.02, respectively. Kappa w statistics for the intervention group (Kappa w = 0.007) and for the control group (Kappa w = 0.0005) also showed little agreement. Conclusions: These results suggest that although commonly used, using television viewing time and total time spent sitting as interchangeable markers of SB, is not a valid assumption. We propose that total time spent sitting and hours spent television-viewing represent different domains within the construct of sedentary behavior. It is important for future researchers to use measures of sedentary behavior that capture the numerous domains involved in measuring SB to allow for the most sensitive measurement of this high-risk behavior.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S387-S387
Author(s):  
Shirley M Bluethmann ◽  
Eileen Flores ◽  
Charles Matthews ◽  
Frank Perna

Abstract Physical activity (PA) and avoidance of inactivity are recommended in cancer survivorship. But survivors are not meeting these recommendations. We used national data (NHANES) collected 2011-2014 (n=9620) to estimate associations of PA and TV viewing with 3 health outcomes: self-rated health, functional limitations and multimorbidity in older cancer survivors and adults without cancer. Greater PA was associated with reporting excellent health in survivors. Survivors that obtained 22.5+ MET-hours/week were 5.5 times more likely to report excellent health than those that did no exercise (OR=5.5, p&lt;.001). We observed a decrease in likelihood of multimorbidity and functional limitations with increasing PA (both significant at p&lt;.001). We noted survivors that abstained from watching TV were 3x more likely to report excellent health and between 60-80% less likely to report functional limitations and multimorbidity than TV watchers (p&lt;001). Findings with non-cancer adults were similar. Survivors need PA and reduced TV to maximize health outcomes.


2019 ◽  
Vol 33 (8) ◽  
pp. 595-601 ◽  
Author(s):  
Laura D. Ellingson ◽  
Andrew Zaman ◽  
Elizabeth L. Stegemöller

Background. Sedentary behavior is a growing public health concern and may have particular relevance for the Parkinson disease (PD) population. However, the influence of sedentary time on factors associated with quality of life (QOL) in PD is unknown. The primary purpose of this study was to examine relationships between sedentary behaviors and markers of PD-specific QOL. A secondary purpose was to examine relationships between physical activity behaviors and QOL. Methods. We assessed sedentary and active behaviors using objective and interview measures and examined relationships between these behaviors and a measure of PD-specific QOL in individuals with PD. Results. Results demonstrated that sedentary time was significantly related to several aspects of QOL, including perceived deficits in the domains of mobility, cognitive processing, and communication. Additionally, results showed that time spent watching television was more strongly associated with lower levels of QOL than other more engaging sedentary activities. For physical activity, relationships between objective measures and QOL were weaker and only significantly associated with mobility. Time spent doing housework was associated with lower levels of QOL, whereas time spent in recreational activity was associated with lower levels of discomfort. Discussion. These results suggest that targeting decreases in sedentary behaviors (eg, reducing time spent watching television, breaking up prolonged bouts of sedentary time) may be effective for improving QOL in individuals with PD.


2002 ◽  
Vol 14 (4) ◽  
pp. 401-417 ◽  
Author(s):  
Simon J. Marshall ◽  
Stuart J.H. Biddle ◽  
James F. Sallis ◽  
Thomas L. McKenzie ◽  
Terry L. Conway

Few studies have attempted to describe patterns of sedentary behavior among children and examine how these relate to patterns of physical activity. A group of 2,494 youth aged 11–15 years from the USA and UK completed a physical activity checklist. Low intercorrelations between sedentary behaviors suggest youth sedentariness is multifaceted and cannot be represented accurately by any one behavior such as TV viewing. Cluster analysis identified three groups of young people, differentiated by the level and type of sedentary behavior and physical activity. Physical activity and sedentary behavior are not two sides of the same coin. Further study should examine the health-related outcomes associated with sedentary behavior and the modifiable determinants of these behaviors among young people.


2016 ◽  
Vol 13 (s2) ◽  
pp. S95-S103 ◽  
Author(s):  
Anne I. Wijtzes ◽  
Maïté Verloigne ◽  
Alexandre Mouton ◽  
Marc Cloes ◽  
Karin A.A. De Ridder ◽  
...  

Background:This 2016 Belgium Report Card on Physical Activity for Children and Youth is the first systematic evaluation of physical activity (PA) behaviors, related health behaviors, health outcomes, and influences thereon, using the Active Healthy Kids Canada grading framework.Methods:A research working group consisting of PA experts from both Flanders and Wallonia collaborated to determine the indicators to be graded, data sources to be used, and factors to be taken into account during the grading process. Grades were finalized after consensus was reached among the research working group and 2 stakeholder groups consisting of academic and policy experts in the fields of PA, sedentary behavior, and dietary behavior.Results:Eleven indicators were selected and assigned the following grades: Overall PA (F+), Organized Sport Participation (C-), Active Play (C+), Active Transportation (C-), Sedentary Behaviors (D-), School (B-), Government Strategies and Investment (C+), and Weight Status (D). Incomplete grades were assigned to Family and Peers, Community and the Built Environment, and Dietary Behaviors due to a lack of nationally representative data.Conclusions:Despite moderately positive social and environmental influences, PA levels of Belgian children and youth are low while levels of sedentary behaviors are high.


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