Abstract MP92: Sedentary Behavior: Do Television-viewing and Total Time Sitting Measure the Same Component?

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.

2016 ◽  
Vol 13 (1) ◽  
pp. 98-105 ◽  
Author(s):  
Heather A. McGrane Minton ◽  
Kelly Thevenet-Morrison ◽  
I. Diana Fernandez

Sedentary behaviors, activities spent sitting, or lying down during waking hours, are of significant public health importance. Television-viewing (TV-viewing) hours and total hours sitting are common self-report measures of sedentary behaviors. Given the widespread usage of these measures, the study purpose was to measure the concordance between TV-viewing hours and total hours sitting to determine whether they can be used as interchangeable measures of time spent in sedentary behavior. Using a sample (n = 2687) of workers from a group-randomized control trial, the current study assessed the concordance between weekday total hours sitting and TV-viewing hours. Tertiles were created based on the distribution of total hours sitting and TV-viewing hours. Weighted Kappa (Kappaw) statistics were calculated for the full sample and subgroups. Half of the sample reported 2 to 3 daily hours of TV-viewing hours and the most reported total hours sitting was 8 hours (14%). Kappaw statistics for tertiles of total hours sitting and TV-viewing hours were 0.005 (95% CI = −0.02 to 0.03), indicating little agreement. Kappaw statistics for subgroup analyses (body mass index categories, gender, and intervention assignment) showed poor agreement. Results do not support the use of total hours sitting and TV-viewing hours as interchangeable measures of sedentary 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<.001). We observed a decrease in likelihood of multimorbidity and functional limitations with increasing PA (both significant at p<.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<001). Findings with non-cancer adults were similar. Survivors need PA and reduced TV to maximize health outcomes.


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.


2015 ◽  
Vol 12 (9) ◽  
pp. 1272-1279 ◽  
Author(s):  
Ellen De Decker ◽  
Kylie Hesketh ◽  
Marieke De Craemer ◽  
Trina Hinkley ◽  
Ilse De Bourdeaudhuij ◽  
...  

Background: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.Methods: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.Results: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).Conclusions: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.


2020 ◽  
Author(s):  
Sofie Compernolle ◽  
Ilse De Bourdeaudhuij ◽  
Greet Cardon ◽  
Delfien Van Dyck

Abstract Background. Some types of sedentary behaviors tend to cluster in individuals or groups of older adults. Insight into how these different types of sedentary behavior cluster is needed, as recent research suggests that not all types of sedentary behavior may have the same negative effects on physical and mental health. Therefore, the aim of this study was to identify gender-specific typologies of older adults’ sedentary behavior, and to examine their associations with health-related and socio-demographic factors. Methods. Cross-sectional data were collected as part of the BEPAS Seniors, and the Busschaert study among 696 Flemish older adults (60+). Typologies of self-reported sedentary behavior were identified using latent profile analysis, and associations with health-related and sociodemographic factors were examined using analyses of variances. Results. Five distinct typologies were identified from seven sedentary behaviors (television time, computer time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in men, and three typologies were identified from six sedentary behaviors (television time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in women. Typologies that are characterized by high television time seem to be related to more negative health outcomes, like a higher BMI, less grip strength, and a lower physical and mental health-related quality-of-life. Typologies that are represented by high computer time and motorized transport seem to be related to more positive health outcomes, such as a lower body mass index, more grip strength and a higher physical and mental health-related quality-of-life.Conclusions. Although causal direction between identified typologies and health outcomes remains uncertain, our results suggests that future interventions should better focus on specific types of sedentary behavior (e.g. television time), or patterns of sedentary behavior, rather than on total sedentary behavior.


2009 ◽  
Vol 05 (01) ◽  
pp. 29 ◽  
Author(s):  
David W Dunstan ◽  
Genevieve N Healy ◽  
Takemi Sugiyama ◽  
Neville Owen ◽  
◽  
...  

Recent epidemiological evidence suggests that prolonged sitting (sedentary behavior: time spent in behaviors that have very low energy expenditure, such as television viewing and desk-bound work) has deleterious cardiovascular and metabolic correlates, which are present even among adults who meet physical activity and health guidelines. Further advances in communication technology and other labor-saving innovations make it likely that the ubiquitous opportunities for sedentary behavior that currently exist will become even more prevalent in the future. We present evidence that sedentary behavior (too much sitting) is an important stand-alone component of the physical activity and health equation, particularly in relation to cardio-metabolic risk, and discuss whether it is now time to consider public health and clinical guidelines on reducing prolonged sitting time that are in addition to those promoting regular participation in physical activity.


2020 ◽  
Author(s):  
Sofie Compernolle ◽  
Ilse De Bourdeaudhuij ◽  
Greet Cardon ◽  
Delfien Van Dyck

Abstract Background. The aim of this study was to identify gender-specific typologies of older adults’ sedentary behavior, and to examine their associations with health-related and socio-demographic factors. Methods. Cross-sectional data were collected as part of the BEPAS Seniors, and the Busschaert study among 696 Flemish older adults (60+). Typologies of self-reported sedentary behavior were identified using latent profile analysis, and associations with health-related and sociodemographic factors were examined using analyses of variances. Results. Five distinct typologies were identified from seven sedentary behaviors (television time, computer time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in men, and three typologies were identified from six sedentary behaviors (television time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in women. Typologies that are characterized by high television time seem to be related to more negative health outcomes, like a higher BMI, less grip strength, and a lower physical and mental health-related quality-of-life. Typologies that are represented by high computer time and motorized transport seem to be related to more positive health outcomes, such as a lower BMI, more grip strength and a higher physical and mental health-related quality-of-life. Conclusions. Although causal direction between identified typologies and health outcomes remains uncertain, our results suggests that future interventions should better focus on specific types of sedentary behavior (e.g. television time), or patterns of sedentary behavior, rather than on total sedentary behavior.


2020 ◽  
Author(s):  
Ashleigh R Homer ◽  
Neville Owen ◽  
Parneet Sethi ◽  
Bronwyn K Clark ◽  
Genevieve N. Healy ◽  
...  

Abstract Time spent sitting in different settings can pose different risks to health. In Australian adults either with higher and lower diabetes risk, this study examined the differing compositions of self-reported sitting time accumulated in five contexts (occupational, transport, TV viewing, leisure computer-use and other). Participants (n = 3927; 60 ± 11 years; 45% male) were from the 2011–2012 assessment wave of the AusDiab study. The relative compositions of self-reported context-specific sedentary behaviors to total sitting time were compared between those with and without previously undiagnosed dysglycaemia (impaired fasting glucose, impaired glucose tolerance or newly diagnosed T2D), in working (323 with, 1646 without; 5-part composition) and non-working (433, 1525; 4-part composition) adults. For working adults, compared to those without dysglycaemia, those with undiagnosed dysglycemia spent the same proportion of time sitting at work, 3% more time sitting during transport, 9% more time sitting watching TV, 2% less time sitting using a computer for leisure, and 9% less time sitting during other activities. For non-working adults, compared to those without, those with dysglycemia spent 26% less time sitting during transport, 9% more time sitting while watching TV, 29% less time sitting using a computer for leisure, and 5% more time sitting during other activities. In addition to addressing overall sitting time, those with higher levels of diabetes risk may benefit from targeted reductions in context-specific sedentary behaviors, particularly TV viewing time. These findings also provide a case in point with potential relevance for other health problems associated with sedentary behavior.


2018 ◽  
Vol 15 (5) ◽  
pp. 338-344 ◽  
Author(s):  
André O. Werneck ◽  
Adewale L. Oyeyemi ◽  
Rômulo A. Fernandes ◽  
Marcelo Romanzini ◽  
Enio R.V. Ronque ◽  
...  

Background: This study aims to describe the regional prevalence and patterns of physical activity (PA) and sedentary behavior among Brazilian adolescents. Methods: Data from the Brazilian Scholar Health Survey, a nationally representative survey of ninth-grade adolescents [mean age: 14.29 y (14.27–14.29)] conducted in 2015 (n = 101,445), were used. Outcomes were television viewing, sitting time (ST), total PA, and active traveling collected via self-administered questionnaire. Information on frequency of physical education classes and type of school was collected from the school’s director. Frequencies with 95% confidence intervals were used to determine the prevalence and patterns of outcomes. Results: Higher prevalence of PA (≥300 min/wk) and ST (>4 h/d) was found in Midwest (PA = 38.0%; ST = 44.5%), South (PA = 37.6%; ST = 50.1%), and Southeast (PA = 36.1%; ST = 49.3%) compared with Northeast (PA = 29.7%; ST = 36.9%) and North (PA = 34.4%; ST = 34.8%) regions of Brazil. ST was higher among adolescents from private schools (51.5%) than public schools (42.9%), whereas active traveling was greater among students of public schools than private schools (62.0% vs 34.4%). Most inequalities in outcomes between capital and interior cities were in the poorest regions. Conclusions: The results indicate that national plans targeting regional inequalities are needed to improve PA and to reduce sedentary behavior among Brazilian adolescents.


2021 ◽  
Vol 9 ◽  
Author(s):  
Xiaosheng Dong ◽  
Lijie Ding ◽  
Rui Zhang ◽  
Meng Ding ◽  
Baozhen Wang ◽  
...  

Purpose: The aim of this study is to explore the relationship between screen-based sedentary behavior, physical activity and physical fitness among Chinese adolescents.Methods: This study randomly selected adolescents from 10 administrative districts in Shandong, China. The data gathering tools for demographic and other characteristics (gender, age, body mass index and socioeconomic status), PA (PAQ-A) and screen-based sedentary behavior (YRBSS) and physical fitness (NSPFH 2014) were utilized in this study. Statistical analysis was performed by T-test, chi-square test and multiple linear regression.Results: 10,002 adolescents (14.39 years ± 1.79) participated in the study. The results demonstrated that BMI and high TV viewing time had a significant negative correlation with physical fitness, but there was no association between the amount of time spent playing computer/video games and physical fitness among adolescents. High SES and physical activity in leisure time five or more times per week were significantly associated with most dimensions of physical fitness.Conclusions: the results suggest that we not only need to focus on adolescent risk behavior associated with low socioeconomic status and obesity, but also enforce physical activity and reduce sedentary television-watching behavior, which will be crucial pathways and strategies to improve the physical fitness of Chinese adolescents.


Sign in / Sign up

Export Citation Format

Share Document