Physical activity can attenuate, but not eliminate, the negative relationships of high TV viewing with some chronic diseases: findings from a cohort of 60 202 Brazilian adults

2019 ◽  
Author(s):  
André O Werneck ◽  
Adewale L Oyeyemi ◽  
Paul J Collings ◽  
Edilson S Cyrino ◽  
Enio R V Ronque ◽  
...  
Keyword(s):  
Physical Activity ◽  
Chronic Disease ◽  
Chronic Diseases ◽  
Leisure Time Physical Activity ◽  
Sodium Intake ◽  
Viewing Time ◽  
Negative Effects ◽  
Tv Viewing ◽  
Logistic Regression Models ◽  
Nationally Representative

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.

Habitual Active Transport Moderates the Association of TV Viewing Time With Body Mass Index

2010 ◽  
Vol 7 (1) ◽  
pp. 11-16 ◽  
Author(s):  
Takemi Sugiyama ◽  
Dafna Merom ◽  
Marina Reeves ◽  
Eva Leslie ◽  
Neville Owen
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Active Transport ◽  
Body Mass ◽  
Linear Models ◽  
Leisure Time Physical Activity ◽  
Viewing Time ◽  
Obesity Risk ◽  
Tv Viewing ◽  
The Relationship

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.

scholarly journals Do Support and Strain With Adult Children Affect Mothers’ and Fathers’ Physical Activity?

2018 ◽  
Vol 41 (2) ◽  
pp. 164-185 ◽  
Author(s):  
Patricia A. Thomas ◽  
Amy C. Lodge ◽  
Corinne Reczek
Keyword(s):  
Physical Activity ◽  
Adult Children ◽  
Adult Child ◽  
Intergenerational Relationships ◽  
Coping With Stress ◽  
Mothers And Fathers ◽  
Logistic Regression Models ◽  
Nationally Representative ◽  
Nuanced Understanding ◽  
The Life Course

Physical activity is central to health. Parents tend to have lower levels of physical activity than the childless, however, little is known about how adult child–parent relationship quality matters for mothers’ and fathers’ physical activity trajectories. Nationally representative panel data from the Americans’ Changing Lives survey (1986–2012) are used to analyze multilevel-ordered logistic regression models. Greater social support from adult children is associated with more frequent active exercise, and higher strain with adult children is related to more frequent active exercise and walking. A significant gender interaction suggests that strain with adult children is related to greater exercise among men more so than women, but this interaction is attenuated after adjusting for cigarette smoking, another gendered way of coping with stress. This study contributes to a more nuanced understanding of how different dimensions of intergenerational relationships shape health behaviors across the life course.

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
Keyword(s):  
Physical Activity ◽  
Health Outcomes ◽  
Sedentary Behavior ◽  
Television Viewing ◽  
Weighted Kappa ◽  
Sitting Time ◽  
Viewing Time ◽  
Kappa Statistics ◽  
Sedentary Behaviors ◽  
Tv Viewing

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.

Abstract 071: Ten-year Change In Tv Viewing Is Associated With Concurrent Change In Pericardial Adipose Tissue In Middle-aged Adults: The Coronary Artery Risk Development In Young Adults (CARDIA) Study

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Minsuk Oh ◽  
Kelley Pettee Gabriel ◽  
David R Jacobs ◽  
James G Terry ◽  
Jingzhong Ding ◽  
...  
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Adipose Tissue ◽  
Coronary Artery ◽  
Disease Risk ◽  
Viewing Time ◽  
Middle Aged ◽  
Tv Viewing ◽  
Pericardial Adipose Tissue ◽  
Middle Aged Adults

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.

Time Trends and Sociodemographic Inequalities in Physical Activity and Sedentary Behaviors Among Brazilian Adults: National Surveys from 2003 to 2019

2021 ◽  
pp. 1-10
Author(s):  
André O. Werneck ◽  
Luciana L. Barboza ◽  
Raphael H.O. Araújo ◽  
Adewale L. Oyeyemi ◽  
Giseli N. Damacena ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Health Survey ◽  
Time Trends ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Sample Survey ◽  
World Health ◽  
Tv Viewing ◽  
Total Transport

Background: The authors analyzed time trends and sociodemographic inequalities in different physical activity and sedentary behavior domains between 2003 and 2019. Methods: A secondary analysis of data from 5 cross-sectional Brazilian epidemiological surveys (World Health Survey—2003, National Household Sample Survey—2008/2015, and Brazilian Health Survey—2013/2019) conducted among a nationally representative sample of Brazilian adults. The authors used data on different domains of physical activity (leisure, commute, total transport, and total physical activity) and sedentary behavior (TV viewing and other types of screens) that were available in the different surveys. Gender, age group, country region, ethnicity, type of area and city, and quintiles of income and educational achievement were used as sociodemographic correlates. Results: The prevalence of leisure-time physical activity increased over time (2008: 7.0% vs 2019: 26.5%). There was also an increased trend of social inequality in leisure-time physical activity. A trend of reduction was observed for active commuting (2008: 35.0% vs 2019: 21.8%), while total transport physical activity was stable (2013: 49.5% vs 2019: 49.6%). Directions of findings were opposite for sedentary behavior, with reduced trend for >3 hours per day of TV viewing (2008: 34.8% vs 2019: 21.8%) and increased trend for >3 hours per day of other types of screen time (2008: 6.4% vs 2019: 22.2%). Conclusion: A positive trend exists in leisure-time physical activity, but there was also an increase in social inequalities for physical activity in Brazil.

scholarly journals Association between leisure-time physical activity and the risk of chronic diseases

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
A Dedele ◽  
A Miskinyte
Keyword(s):  
Physical Activity ◽  
Chronic Diseases ◽  
High Intensity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Adult Population ◽  
World Health ◽  
Health Study ◽  
Moderate Intensity ◽  
The Impact

Abstract Background According to the World Health Organization, non-communicable diseases or chronic diseases, account for 71 percent of all deaths globally, affecting individuals of all age groups and countries. Epidemiological studies have shown an association between a lack of physical activity (PA) and the risk of raised blood pressure, increased body mass index and obesity that can lead to chronic diseases. Methods The aim of the study was to assess the relationship between leisure-time PA and the risk of chronic diseases among adult population. We conducted a cross-sectional study of 470 men and 641 women who participated in “The Impact of Sustainable Mobility, Physical Activity and Environmental Factors on Urban Population Health Study (ISMA)” in Lithuania. Leisure-time PA was self-reported and divided into three levels: low, moderate and high. Logistic regression was used to estimate adjusted odds ratios (ORs) of chronic diseases according to leisure-time PA. Results More than half (55%) of the study population engaged in a moderate intensity PA and 12% of participants engaged in a high intensity leisure-time PA. Men 1.6 times more often than women reported engaging in a high intensity PA in leisure time (p = 0.004). Adults who engaged in low intensity leisure-time PA had almost 3 times (OR = 2.91; 95% confidence interval (CI) 1.62-5.24) higher risk of chronic diseases, whereas those adults who reported moderate intensity leisure-time PA had an OR of 1.63 (95% CI 0.92-2.87) compared to individuals who engaged in a high-level PA. Conclusions Our findings suggest that high levels of leisure-time PA could reduce the risk of chronic diseases and this effect was significantly stronger in men. Key messages Global decline in PA is related to inaction during leisure time and sedentary behaviour at work and at home that has a major health impact worldwide. High levels of leisure-time PA are important factor for chronic disease prevention.

scholarly journals Associations of sedentary behaviours and incidence of unhealthy diet during the COVID-19 quarantine in Brazil

2020 ◽  
pp. 1-5 ◽  
Author(s):  
André O Werneck ◽  
Danilo R Silva ◽  
Deborah C Malta ◽  
Crizian Saar Gomes ◽  
Paulo RB Souza-Júnior ◽  
...  
Keyword(s):  
Food Consumption ◽  
Fruits And Vegetables ◽  
Processed Food ◽  
Tv Viewing ◽  
Logistic Regression Models ◽  
Sedentary Behaviours ◽  
Unhealthy Behaviour ◽  
Unhealthy Diet ◽  
Nationally Representative ◽  
Elevated Frequency

Abstract Objective: Our aim was to analyse the association of change patterns on TV-viewing and computer/tablet use and incidence of elevated consumption of ultra-processed food consumption and lower consumption of fruits and vegetables during the COVID-19 pandemic. Design: Data of 39 208 Brazilian adults from a Behaviour Web Survey were used. Unhealthy nutrition habits were eating fruits or vegetables for <5 d/week and ultra-processed food (sugary foods, snacks, ready-to-eat frozen foods and embedded foods) for ≥5 d/week. For incidence indicators, we only considered participants without unhealthy behaviour before the quarantine. We created four categories of change in TV-viewing and computer/tablet use, considering a cut-off point of 4 h/d for each behaviour (1 – consistently low, 2 – become low during the quarantine, 3 – become high during the quarantine or 4 – consistently high). Analyses were adjusted for sex, age group, highest academic achievement, per capita income, working status during the quarantine, skin colour and adherence to the quarantine. Setting: Brazil. Participants: Brazilian adults (nationally representative). Results: Logistic regression models revealed that high TV-viewing and computer/tablet use incidence were associated with higher odds for elevated frequency of ultra-processed food consumption (TV-viewing: OR 1·70; 95 % CI 1·37, 2·12; computer/tablet: OR 1·73; 95 % CI 1·31, 2·27) and low consumption of fruit and vegetables (TV-viewing: OR 1·70; 95 % CI 1·29, 2·23; computer/tablet: OR 1·53; 95 % CI 1·08, 2·17) incidence. Consistent high computer/tablet use also presented higher odds for incidence of elevated frequency of ultra-processed food consumption. Conclusions: Participants with incidence of sedentary behaviours were also more likely to present incidence of unhealthy diet during the COVID-19 pandemic quarantine.

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