Age differences in the association of physical activity, sociocognitive engagement, and TV viewing on face memory.

2015 ◽  
Vol 34 (1) ◽  
pp. 83-88 ◽  
Author(s):  
Jennifer J. Heisz ◽  
Susan Vandermorris ◽  
Johnny Wu ◽  
Anthony R. McIntosh ◽  
Jennifer D. Ryan
2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 528-529
Author(s):  
Eric Shiroma ◽  
J David Rhodes ◽  
Aleena Bennet ◽  
Monika M Safford ◽  
Leslie MacDonald ◽  
...  

Abstract Major life events, such as retirement, may lead to dramatic shifts in physical activity (PA) patterns. However, there are limited empirical data quantifying the magnitude of these changes. Our aims were to objectively measure PA before and after retirement and to describe changes in participation in various types of PA. Participants were employed black and white men and women enrolled in REGARDS (REasons for Geographic and Racial Differences in Stroke), a national prospective cohort study (n=581, mean age 64 years, 25% black, 51% women). Participants met inclusion criteria if they retired between their first and second accelerometer wearing (2009-2013 and 2017-2018, respectively) and had valid accelerometer data (>4 days with >10 hours/day pre- and post-retirement). Accelerometer-based PA was categorized into average minutes per day spent in sedentary, light-intensity, and moderate-to-vigorous PA. Participants reported changes (less, same, more) in 12 types of PA. After retirement, participants decreased both sedentary time (by 36.3 minutes/day) and moderate-to-vigorous PA (by 5.6 minutes/day). Conversely, there was an increase in light-intensity PA (+18.1 minutes/day) after retirement. Participants reported changes in their participation level in various PA activities. For example, 41% reported an increased amount of TV viewing, 42% reported less walking, and 31% reported increased participation in volunteer activities. Findings indicate that retirement coincides with a change in the time spent in each intensity category and the time spent across a range of activity types. Further research is warranted to examine how these changes in physical activity patterns influence post-retirement health status.


2012 ◽  
Vol 7 (3) ◽  
pp. 240-250 ◽  
Author(s):  
J. P. Rey-López ◽  
J. R. Ruiz ◽  
G. Vicente-Rodríguez ◽  
L. Gracia-Marco ◽  
Y. Manios ◽  
...  

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 ◽  
Luciana L. Barboza ◽  
Raphael H.O. Araújo ◽  
Adewale L. Oyeyemi ◽  
Giseli N. Damacena ◽  
...  

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.


2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
S Sumonja ◽  
M Jevtic

Abstract Background Aim of this study was to determine agreement between parent proxy reports and children self-reports of physical activities and sedentary behaviour. Methods The sample included 7-10 year-old children and their parents (n = 188) in a local community in Northern Serbia. Data were collected by questionnaires designed to assess context-specific measures of children’s physical activity (outside play, organized sports) and sedentary behavior (TV viewing, using computer, playing electronic games). Children and their parents completed questionnaires separately. Agreement between children’s and parent`s responses was calculated with Cohen’s kappa. Differences in parent`s and children`s responses in relation to gender, grade and BMI were analyzed using χ2 test. Values p &lt; 0.05 were considered statistically significant. Results Level of agreement between parents’ and children’s reports ranged from poor for variable TV viewing before going to school (κ = 0.21; p = 0.04) to substantial for variable physical activity before going to school (κ = 0.74; p = 0.00). Girls were more likely than boys to agree with parents about time spent playing on the computer after school (χ2=11.23;p=0.01). Overweight and obese children tended to report more time in TV viewing than their parents (χ2=26.4;p=0.01). Conclusions There are differences in reports of physical activities and sedentary behaviour between 7 to 10 year-old children and their parents The lowest level of agreement found for variable TV viewing indicates low awareness and control of this screen-based sedentary behaviour. Key messages Differences in parents’ and children’s reports of children’s physical activities and sedentary behaviour are confirmed. It should be taken into consideration in studies which use self-reports or proxy reports for assessing children’s physical activities and sedentary behaviour.


Heart ◽  
2019 ◽  
pp. heartjnl-2019-314878 ◽  
Author(s):  
Anne Sillars ◽  
Frederick K Ho ◽  
Gill P Pell ◽  
Jason M R Gill ◽  
Naveed Sattar ◽  
...  

BackgroundThere are known risk factors associated with the development of heart failure (HF), but it is not fully understood whether these differ by sex.ObjectivesTo investigate sex differences in risk factors for HF incidence and mortality.Methods468 941 participants (55.9% women, age range 37–73 years) were included. Established CVD risk factors (hypertension, hypercholesterolaemia, diabetes type 1 and 2, adiposity, smoking, physical activity and poor diet) and novel risk factors (grip strength, fitness, TV viewing and sleep duration) were the exposures of interest. HF incidence and mortality were the outcomes.ResultsOver a mean follow-up of 9.0 years, 1812 participants developed HF and 763 died due to HF. Women with type 1 diabetes (T1DM), type 2 diabetes (T2DM), hypertension, hypercholesterolaemia, low levels of physical activity and fitness, low strength, high levels of TV viewing, sleep duration <7 hours/day, smokers; those who were underweight and who were obese, had high body surface area and those who drink >14 units of alcohol were at higher risk of HF incidence. However, in women T2DM, hypercholesterolaemia, >3 hours/day of TV and sleep <7 hours/day, low level of physical activity and high level of TV viewing were more strongly associated with HF incidence compared with men.ConclusionSeveral modifiable risk factors (in particular diabetes) appear more strongly associated with HF in women compared with men. The relevance of these findings to HF characteristics and future outcomes needs to be established.


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.


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.


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