Physical activity, TV viewing time and the associations of perceived environmental attributes with measured waist circumference

2010 ◽  
Vol 12 ◽  
pp. e230
Author(s):  
T. Sugiyama ◽  
D. Dunstan ◽  
J. Salmon ◽  
A. Kavanagh ◽  
N. Owen
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.


Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Minsuk Oh ◽  
Kelley Pettee Gabriel ◽  
David R Jacobs ◽  
James G Terry ◽  
Jingzhong Ding ◽  
...  

Introduction: Pericardial adipose tissue (PAT), an ectopic adipose depot surrounding the coronary arteries, is a pathogenic risk factor for cardiometabolic disease; however, the association of sedentary behavior with PAT is poorly understood. We examined the longitudinal association of 10-year change in TV viewing with concurrent change in PAT. Hypothesis: Increased h/day of TV viewing over 10 years are associated with larger mean increases in PAT during the same 10-year period. Methods: Middle-aged adults (N=1659, mean age=40.4, 912 females, 733 blacks) from the Coronary Artery Risk Development in Young Adults (CARDIA) Study at the exam years 15 (2000-2001) and 25 (2010-2011) were included. Both TV viewing (h/day) and the volume of PAT (mL) were measured at Years 15 and 25 using the CARDIA physical activity questionnaire and computed tomography, respectively. Covariates measured at year 15 included PAT, sociodemographic factors, cardiovascular disease risk factors, diet quality, TV viewing, moderate-to-vigorous intensity physical activity (MVPA), inflammatory cytokines, and waist circumference. Multivariable linear regression was used to estimate 10-year change in PAT across increasing tertiles (≤ -1, > -1 to < 1, ≥ 1 h/day) of 10-year changes in TV viewing. Results: On average, TV viewing and PAT increased between the two exam years by 0.2 h/day (8.7% increase, mean: 2.3 → 2.5 h/day) and 11.8 mL (25.9% increase, mean: 45.6 → 57.4 mL), respectively (all p < 0.01). In the fully adjusted model including MVPA and other major confounders, the highest tertile of 10-year change in TV viewing was associated with greater change in PAT (β = 2.97 mL, p < 0.01) when compared with the lowest tertile (see Figure 1 ), while mean PAT change was intermediate in the middle tertile. Conclusions: A greater 10-year increase in TV viewing is associated with a greater concurrent increase in PAT, independent of MVPA and other important confounders. Reducing TV viewing time may be associated with less PAT accumulation with age.


Author(s):  
André O Werneck ◽  
Adewale L Oyeyemi ◽  
Paul J Collings ◽  
Edilson S Cyrino ◽  
Enio R V Ronque ◽  
...  

Abstract Background This study examined the joint associations of leisure time physical activity and television (TV) viewing time with the prevalence of chronic diseases among Brazilian adults. Methods Data from the Brazilian Health Survey, a nationally representative survey conducted in 2013 (n = 60 202; ≥18 years), were used. Time spent in TV viewing and leisure physical activity, physician diagnoses of diabetes, hypertension and heart disease and information on co-variables (chronological age, education, ethnicity, candies/sweets consumption, sodium intake and tobacco smoking) were collected via interview. Descriptive statistics (mean and 95% confidence interval) and logistic regression models were used for etiological analyses. Results Physical activity attenuated but did not eliminate the risk associated with high TV viewing for at least one chronic disease in the general population [odds ratio [OR]: 1.29 (1.11–1.50)] and among women [OR: 1.31 (1.09–1.60)], adults [OR: 1.24 (1.05–1.46)] and older adults [OR: 1.63 (1.05–2.53)]. On the other hand, physical activity eliminated the risk associated with high TV viewing for at least one chronic disease among men [OR: 1.24 (0.98–1.58)]. Conclusions We conclude that physical activity can attenuate but not eliminate the negative effects of high TV viewing on chronic disease among subgroups of Brazilian adults.


Author(s):  
Lee Smith ◽  
Igor Grabovac ◽  
Lin Yang ◽  
Nicola Veronese ◽  
Ai Koyanagi ◽  
...  

Physical activity (PA) is a potential modifiable correlate of the age-related decline in sexual function, but no studies have explicitly tested this. This study aimed to examine associations between PA, television viewing (TV) time and sexual activity, problems, and concerns. Data were from 7,038 men and women aged ≥50 years participating in the English Longitudinal Study of Ageing. PA and TV viewing time were self-reported. Sexual behaviour and concerns were assessed by self-completion questionnaire. Covariates included age, partnership status, socio-economic status, limiting long-standing illness, smoking status, alcohol intake and depressive symptoms. The odds of reporting any sexual activity were increased among individuals who participated in moderate (OR = 1.64, 95% CI: 1.24–2.15 in men) or vigorous (OR = 2.06, 95% CI: 1.50–2.84 in men, OR = 1.42, 95% CI: 1.09–1.85 in women) PA at least once a week. Erectile difficulties were less common among men who were active (OR = 0.58, 95% CI: 0.44–0.77 for vigorous PA). Women who watched ≥6 hours of TV/day had lower odds of thinking about sex frequently (OR = 0.69, 95% CI: 0.50–0.96) or, if they did not live with a partner, being sexually active (OR = 0.40, 95% CI: 0.22–0.72). Encouraging older adults to be more physically active could help to improve sexual relationships and, as a result, mental health and wellbeing.


Author(s):  
Mette Aadahl ◽  
Michael Kjær ◽  
Torben Jørgensen

Introduction Sedentary behaviour, especially TV viewing, has been identified as a possible risk factor for cardiovascular disease, whereas physical activity seems to protect against major cardiovascular risk factors: obesity, dyslipidemia and hypertension. The aim of this study was to explore the association between both time spent on TV viewing and vigorous intensity physical activity in relation to body mass index, waist circumference, waist/hip ratio, serum lipids and blood pressure. Methods A total of 1693 men and women, 33-64 years of age, from the 3-year follow-up of a population-based intervention study, The Inter 99 study, were included in this cross-sectional design. Information on TV viewing, physical activity and other lifestyle habits was obtained by self-report questionnaire. Associations between TV viewing/physical activity and biological cardiovascular risk factors were explored by multiple linear regression analyses. Results Data from 835 (51%) men and 805 (49%) women were included. Mean age was 50.8 years (33.0-64.6). Men had a higher overall physical activity score than women ( P < 0.0001). TV viewing was significantly, positively associated with waist/hip ratio ( P = 0.005), body mass index ( P = 0.03), triglycerides ( P = 0.005), low density lipoprotein cholesterol ( P = 0.03), total cholesterol ( P = 0.01), systolic ( P = 0.05) and diastolic blood pressure ( P = 0.03), but not with waist circumference and high density lipoprotein cholesterol (HDL). Engaging in vigorous intensity physical activity was associated with higher HDL ( P = 0.0006) and lower waist circumference ( P < 0.0001). Conclusion TV viewing and physical activity should be regarded as separate types of behaviour that relate to different cardiovascular disease risk factors. Eur J Cardiovasc Prev Rehabil 14:660-665 © 2007 The European Society of Cardiology


2017 ◽  
Vol 21 (03) ◽  
pp. 571-579 ◽  
Author(s):  
Saeed Ghobadi ◽  
Julia O Totosy de Zepetnek ◽  
Zeinab Hemmatdar ◽  
Nick Bellissimo ◽  
Reza Barati ◽  
...  

AbstractObjectiveIt has been reported that television (TV) viewing is associated with childhood obesity in Western countries. The present study aimed to investigate the relationship between obesity and eating habits while watching TV among primary-school children in the Middle East.DesignCross-sectional.SettingChildren were recruited from primary schools of four educational districts in Shiraz, Iran. Anthropometric indices of mass (kg) and height (m) were measured, and BMI (percentile) was calculated. Demographic characteristics, TV viewing behaviours and physical activity data were collected from parents during face-to-face interviews and a 3d dietary record was completed.SubjectChildren (n607) aged 6–10 years.ResultsMean (sd) age of children was 8·16 (1·37) years, of whom 9·1 and 8·4 % were overweight and obese, respectively. Children who spent ≥2 h watching TV on weekdays (OR=1·99; 95 % CI 1·09, 3·60) and weekend days (OR=1·86; 95 % CI 1·01, 3·43) had higher odds of being obese, even after adjusting for physical activity. Children who ate breakfast while watching TV had higher odds of being overweightv. those who did not watch TV while eating breakfast (OR=2·70; 95 % CI 1·02, 7·60). There were no associations between TV viewing during other meals (lunch and dinner) and overweight/obesity.ConclusionsTV viewing for ≥2 h daily increases the risk of being obese in Iranian children aged 6–10 years, independent of physical activity. Further, breakfast consumption while watching TV may increase the risk of overweight/obesity, independent of total TV viewing time.


2010 ◽  
Vol 7 (1) ◽  
pp. 11-16 ◽  
Author(s):  
Takemi Sugiyama ◽  
Dafna Merom ◽  
Marina Reeves ◽  
Eva Leslie ◽  
Neville Owen

Background:Television viewing time is associated with obesity risk independent of leisure-time physical activity (LTPA). However, it is unknown whether the relationship of TV viewing time with body mass index (BMI) is moderated by other domains of physical activity.Methods:A mail survey collected height; weight; TV viewing time; physical activity for transportation (habitual transport behavior; past week walking and bicycling), for recreation (LTPA), and in workplace; and sociodemographic variables in Adelaide, Australia. General linear models examined whether physical activity domains moderate the association between BMI and TV viewing time.Results:Analysis of the sample (N = 1408) found that TV time, habitual transport, and LTPA were independently associated with participant’s BMI. The interaction between TV time and habitual transport with BMI was significant, while that between TV time and LTPA was not. Subgroup analyses found that adjusted mean BMI was significantly higher for the high TV viewing category, compared with the low category, among participants who were inactive and occasionally active in transport, but not among those who were regularly active.Conclusions:Habitual active transport appeared to moderate the relationship between TV viewing time and BMI. Obesity risk associated with prolonged TV viewing may be mitigated by regular active transport.


2016 ◽  
Vol 48 (4) ◽  
pp. 633-640 ◽  
Author(s):  
AI SHIBATA ◽  
KOICHIRO OKA ◽  
TAKEMI SUGIYAMA ◽  
JO SALMON ◽  
DAVID W. DUNSTAN ◽  
...  

2012 ◽  
Vol 61 (4) ◽  
pp. 421-426
Author(s):  
Hiroko Ishibashi ◽  
Tomoko Takamiya ◽  
Shigeru Inoue ◽  
Yumiko Ohya ◽  
Yuko Odagiri ◽  
...  

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.


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