Physical Activity and Sitting Time Are Specifically Associated With Multiple Chronic Diseases and Medicine Intake in Brazilian Older Adults

2018 ◽  
Vol 26 (4) ◽  
pp. 608-613 ◽  
Author(s):  
Alex S. Ribeiro ◽  
Luiz C. Pereira ◽  
Danilo R.P. Silva ◽  
Leandro dos Santos ◽  
Brad J. Schoenfeld ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Chronic Diseases ◽  
Physical Inactivity ◽  
Prevalence Ratio ◽  
Sitting Time ◽  
Older Individuals ◽  
Independent Association ◽  
Older Men And Women ◽  
Multiple Chronic Diseases

The purpose of the study was to clarify the independent association between sedentary behavior and physical activity with multiple chronic diseases and medicine intake in older individuals. Sedentary behavior and physical activity were measured by questionnaires. Diseases and medication use were self-reported. Poisson’s regression was adopted for main analysis, through crude and adjusted prevalence ratio and confidence interval of 95%. For men, sedentary time >4 hr/day presented a 76% higher prevalence of ≥2 chronic diseases, while physical inactivity increases the likelihood of using ≥2 medicines in 95%. For women, sedentary behavior >4 hr/day presented an 82% and 43% greater prevalence for ≥2 chronic diseases and the intake of ≥2 medicines, respectively. Sedentary behavior represents an independent associated factor of multiple chronic diseases in older men and women. In addition, inactivity for men and sedentarism for women are associated with the amount of medicine intake.

scholarly journals Trends in Self-Reported Sitting Time by Physical Activity Levels Among US Adults, NHANES 2007/2008–2017/2018

2021 ◽  
Vol 18 (S1) ◽  
pp. S74-S83
Author(s):  
Emily N. Ussery ◽  
Geoffrey P. Whitfield ◽  
Janet E. Fulton ◽  
Deborah A. Galuska ◽  
Charles E. Matthews ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Physical Inactivity ◽  
Premature Mortality ◽  
Linear Increase ◽  
Sitting Time ◽  
Point Estimate ◽  
Activity Levels ◽  
Physical Activity Levels ◽  
Active Adults

Background: High levels of sedentary behavior and physical inactivity increase the risk of premature mortality and several chronic diseases. Monitoring national trends and correlates of sedentary behavior and physical inactivity can help identify patterns of risk in the population over time. Methods: The authors used self-reported data from the National Health and Nutrition Examination Surveys (2007/2008–2017/2018) to estimate trends in US adults’ mean daily sitting time, overall, and stratified by levels of leisure-time and multidomain physical activity, and in the joint prevalence of high sitting time (>8 h/d) and physical inactivity. Trends were tested using orthogonal polynomial contrasts. Results: Overall, mean daily sitting time increased by 19 minutes from 2007/2008 (332 min/d) to 2017/2018 (351 min/d) (Plinear < .05; Pquadratic < .05). The highest point estimate occurred in 2013/2014 (426 min/d), with a decreasing trend observed after this point (Plinear < .05). Similar trends were observed across physical activity levels and domains, with one exception: an overall linear increase was not observed among sufficiently active adults. The mean daily sitting time was lowest among highly active adults compared with less active adults when using the multidomain physical activity measure. Conclusions: Sitting time among adults increased over the study period but decreased in recent years.

scholarly journals Assessment of Sedentary Behavior With the International Physical Activity Questionnaire

2008 ◽  
Vol 5 (s1) ◽  
pp. S30-S44 ◽  
Author(s):  
Dori E. Rosenberg ◽  
Fiona C. Bull ◽  
Alison L. Marshall ◽  
James F. Sallis ◽  
Adrian E. Bauman
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Physical Inactivity ◽  
International Physical Activity Questionnaire ◽  
Population Surveillance ◽  
Sitting Time ◽  
Time Activity ◽  
Physical Activity Questionnaire ◽  
The Relationship ◽  
Activity Questionnaire

Purpose:This study explored definitions of sedentary behavior and examined the relationship between sitting time and physical inactivity using the sitting items from the International Physical Activity Questionnaire (IPAQ).Methods:Participants (N = 289, 44.6% male, mean age = 35.93) from 3 countries completed self-administered long- and short-IPAQ sitting items. Participants wore accelero-meters; were classified as inactive (no leisure-time activity), insufficiently active, or meeting recommendations; and were classified into tertiles of sitting behavior.Results:Reliability of sitting time was acceptable for men and women. Correlations between total sitting and accelerometer counts/min <100 were significant for both long (r = .33) and short (r = .34) forms. There was no agreement between tertiles of sitting and the inactivity category (kappa = .02, P = .68).Conclusion:Sedentary behavior should be explicitly measured in population surveillance and research instead of being defined by lack of physical activity.

scholarly journals Factors associated with physical inactivity and sedentary behavior among women living in the urban area of Santos City, Brazil

2016 ◽  
Vol 21 (2) ◽  
pp. 162 ◽  
Author(s):  
Angela Trude ◽  
Gabriela Vedovato ◽  
Yeeli Mui ◽  
Maria Oliveira ◽  
Paula Martins
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Urban Areas ◽  
Physical Inactivity ◽  
Economic Status ◽  
Sitting Time ◽  
World Health ◽  
Environmental Perceptions ◽  
Cross Sectional ◽  
Home Based

We aimed to assess the association between individual, socioeconomic, and environmental variables and sedentary behavior and physical inactivity (PI) among urban Brazilian women of varying economic status in Santos. Through a cross-sectional design in a home-based study, we interviewed 538 women with children under 10 years. We assessed PI through two different indices: the International Physical Activity Questionnaire (IPAQ) and the physical activity time/week as recommended by the World Health Organization (WHO). Sedentary behavior was assessed by sitting-time (>360min/week). Using adjusted logistic regression, walking and driving remained significantly correlated to IPAQ’s score (OR 0.24 95% CI 0.11; 0.50; OR 1.87 95% IC 1.25; 2.81) and to WHO’s guideline (OR 0.20 95% CI 0.08; 0.48; OR 1.77 95% CI 1.16; 2.70). Sedentary behavior was associated with having housekeeper in the household (OR 2.14 95% IC 1.31; 3.50) and perceiving as a barrier for physical activity not having money (OR 0.29 95% CI 0.12; 0.65). Physical inactivity and sedentary behavior were associated with individual, psychosocial and environmental perceptions factors among women with children. Therefore, environmental and policy interventions with multilevel approach may be considered in urban areas to promote health and to prevent obesity among maternal-infant group.

scholarly journals Aging and Exercise: A Health Perspective

1994 ◽  
Vol 2 (3) ◽  
pp. 243-260 ◽  
Author(s):  
Joanna L. Bokovoy ◽  
Steven N. Blair
Keyword(s):  
Physical Activity ◽  
Older Women ◽  
The Elderly ◽  
Older Individuals ◽  
National Surveys ◽  
Fatal Coronary Heart Disease ◽  
Habitual Exercise ◽  
And Function ◽  
Older Men And Women

Habitual exercise provides protection against fatal coronary heart disease, extends longevity, and enhances quality of life. National surveys show less physical activity in older men and women compared with middle-aged and younger persons; older women are particularly sedentary. Although there are still few longitudinal studies on exercise and physical activity in older individuals, the data support a positive relationship between physical activity and health and function in older individuals. The data further show that with regular physical activity, health and physical fitness are maintained or even increased over time in older individuals. Studies on physical activity requirements for beneficial health effects in the elderly are reviewed and presented, and exercise recommendations for older individuals are given.

Temporal Trends of Physical Activity and Sedentary Behavior Simultaneity in Brazilian Students

2018 ◽  
Vol 15 (5) ◽  
pp. 331-337
Author(s):  
Rafaela Costa Martins ◽  
Luiza Isnardi Cardoso Ricardo ◽  
Gerfeson Mendonça ◽  
Daiana Lopes de Rosa ◽  
Letícia Lemos Ayres da Gama Bastos ◽  
...  
Keyword(s):  
Physical Activity ◽  
Confidence Interval ◽  
Sedentary Behavior ◽  
Private Schools ◽  
Physical Inactivity ◽  
Temporal Trends ◽  
Cross Sectional ◽  
Public And Private ◽  
Independent Variables ◽  
Brazilian Students

Objective: To evaluate trends in physical activity and sedentary behavior simultaneity among Brazilian students from 2009 to 2015 and its association with independent variables. Methods: This study presents a panel of 3 cross-sectional studies carried out in 2009, 2012, and 2015 (Pesquisa Nacional de Saúde do Escolar—PeNSE). The population was comprised of ninth-grade public and private schools students from Brazilian capitals. Physical activity and sedentary behavior variables were combined to create the outcome of simultaneity of these risk factors. Results: A large proportion of students were simultaneously inactive and sedentary in the 3 surveys. However, it was possible to observe a downward trend (2009: 56.4%; 95% confidence interval, 55.7–57.1; 2012: 53.7%; 95% confidence interval, 53.0–54.4; 2015: 51.9%; 95% confidence interval, 51.2–52.7). In 2015, estimates of physical inactivity and sedentary behavior simultaneity were greater than 48% for 20 out of 27 of the Brazilian states. Significant declining trends were observed among mideast residents, females, nonwhite, and those attending private schools. Only around 5%–7% of the adolescents were both active and nonsedentary in the 3 surveys. Conclusion: Despite of a slight decreasing trend in the proportion of Brazilian students simultaneously inactive and sedentary throughout the period, the prevalence remained elevated across the surveys.

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.

Physical activity, sedentary behavior, and incidence of obstructive sleep apnea in three prospective US cohorts

2021 ◽  
pp. 2100606
Author(s):  
Yue Liu ◽  
Lin Yang ◽  
Meir J. Stampfer ◽  
Susan Redline ◽  
Shelley S. Tworoger ◽  
...  
Keyword(s):  
Physical Activity ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sedentary Behavior ◽  
Sitting Time ◽  
Health Study ◽  
Metabolic Factors ◽  
Obstructive Sleep ◽  
Watching Tv

Reduced physical activity and increased sedentary behavior may independently contribute to development of obstructive sleep apnea (OSA) through increased adiposity, inflammation, insulin resistance and body fluid retention. However, epidemiologic evidence remains sparse, and is primarily limited to cross-sectional studies.We prospectively followed 50 332 women from the Nurses’ Health Study (2002–2012), 68 265 women from the Nurses’ Health Study II (1995–2013), and 19 320 men from the Health Professionals Follow-up Study (1996–2012). Recreational physical activity (quantified by metabolic equivalent of task [MET]-hours/week) and sitting time spent watching TV and at work/away from home were assessed by questionnaires every 2–4 years. Physician-diagnosed OSA was identified by validated self-report. Cox models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for OSA incidence associated with physical activity and sedentary behavior.During 2 004 663 person-years of follow-up, we documented 8733 incident OSA cases. After adjusting for potential confounders, the pooled HR for OSA comparing participants with ≥36.0 versus <6.0 MET-hours/week of physical activity was 0.46 (95% CI: 0.43, 0.50; ptrend<0.001). Compared with participants spending <4.0 h/week sitting watching TV, the multivariable-adjusted HR (95% CI) was 1.78 (1.60, 1.98) for participants spending ≥28.0 h/week (ptrend<0.001). The comparable HR (95% CI) was 1.49 (1.38, 1.62) for sitting hours at work/away from home (ptrend<0.001). With additional adjustment for several metabolic factors including BMI and waist circumference, the associations with physical activity and sitting hours at work/away from home were attenuated but remained significant (ptrend<0.001), whereas the association with sitting hours watching TV was no longer statistically significant (ptrend=0.18).Higher levels of physical activity and fewer sedentary hours were associated with lower OSA incidence. The potential mediating role of metabolic factors in the association between sedentary behavior and OSA incidence may depend on type of sedentary behavior. Our results suggest that promoting an active lifestyle may reduce OSA incidence.

scholarly journals Association between leisure-time physical activity and sedentary behavior with cardiometabolic health in the ELSA-Brasil participants

2019 ◽  
Vol 7 ◽  
pp. 205031211982708 ◽  
Author(s):  
Francisco José Gondim Pitanga ◽  
Sheila Maria Alvim Matos ◽  
Maria da Conceição C. Almeida ◽  
Ana Luísa Patrão ◽  
Maria del Carmen Bisi Molina ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Screen Time ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Sitting Time ◽  
Cardiometabolic Health ◽  
Adult Health ◽  
Cross Sectional ◽  
Low Levels

Objectives: To assess associations, both individually and in combination, between leisure-time physical activity and sedentary behavior, and cardiometabolic health. Methods: This cross-sectional study included 13,931 civil servants participating in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Leisure-time physical activity was analyzed using the leisure-time domain of the long-form International Physical Activity Questionnaire, while questions related to cumulative sitting time and leisure-based screen time on a weekday and on one day on the weekend were used to establish sedentary behavior. Data analysis was performed using multivariate logistic regression. Results: Following adjustment for confounding variables, high levels of leisure-time physical activity and low levels of sedentary behavior were both associated with favorable cardiometabolic health markers in both genders. When these two factors were analyzed in conjunction, taking the combination of low levels of leisure-time physical activity and high levels of sedentary behavior as the reference, the inverse associations with cardiometabolic variables became even more significant. Conclusion: High levels of leisure-time physical activity and low levels of sedentary behavior were both inversely associated with the cardiometabolic variables analyzed; however, the two variables when evaluated in conjunction appear to produce more consistent associations, particularly when sedentary behavior is evaluated according to leisure-based screen time.

scholarly journals Workers’ physical activity data contribute to estimating maximal oxygen consumption: a questionnaire study to concurrently assess workers’ sedentary behavior and cardiorespiratory fitness

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Tomoaki Matsuo ◽  
Rina So ◽  
Masaya Takahashi
Keyword(s):  
Physical Activity ◽  
Oxygen Consumption ◽  
Occupational Health ◽  
Sedentary Behavior ◽  
Cardiorespiratory Fitness ◽  
Prediction Models ◽  
Intraclass Correlation ◽  
Maximal Oxygen Consumption ◽  
Sitting Time ◽  
Epidemiological Surveys

Abstract Background Sedentary behavior (SB) and cardiorespiratory fitness (CRF) are important issues in occupational health. Developing a questionnaire to concurrently assess workers’ SB and CRF could fundamentally improve epidemiological research. The Worker’s Living Activity-time Questionnaire (WLAQ) was developed previously to assess workers’ sitting time. WLAQ can be modified to evaluate workers’ CRF if additional physical activity (PA) data such as PA frequency, duration, and intensity are collected. Methods A total of 198 working adults (93 women and 105 men; age, 30–60 years) completed anthropometric measurements, a treadmill exercise test for measuring maximal oxygen consumption (VO2max), and modified WLAQ (m-WLAQ, which included questions about PA data additional to the original questions). Multiple regression analyses were performed to develop prediction equations for VO2max. The generated models were cross-validated using the predicted residual error sum of squares method. Among the participants, the data of 97 participants who completed m-WLAQ twice after a 1-week interval were used to calculate intraclass correlation coefficient (ICC) for the test–retest reliability analyses. Results Age (r = − 0.29), sex (r = 0.48), body mass index (BMI, r = − 0.20), total sitting time (r = − 0.15), and PA score (total points for PA data, r = 0.47) were significantly correlated with VO2max. The models that included age, sex, and BMI accounted for 43% of the variance in measured VO2max [standard error of the estimate (SEE) = 5.04 ml·kg− 1·min− 1]. These percentages increased to 59% when the PA score was included in the models (SEE = 4.29 ml·kg− 1·min− 1). Cross-validation analyses demonstrated good stability of the VO2max prediction models, while systematic underestimation and overestimation of VO2max were observed in individuals with high and low fitness, respectively. The ICC of the PA score was 0.87 (0.82–0.91), indicating excellent reliability. Conclusions The PA score obtained using m-WLAQ, rather than sitting time, correlated well with measured VO2max. The equation model that included the PA score as well as age, sex, and BMI had a favorable validity for estimating VO2max. Thus, m-WLAQ can be a useful questionnaire to concurrently assess workers’ SB and CRF, which makes it a reasonable resource for future epidemiological surveys on occupational health.

scholarly journals Trends of low physical activity among Iranian adolescents across urban and rural areas during 2006–2011

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Parisa Amiri ◽  
Parisa Naseri ◽  
Golnaz Vahedi-Notash ◽  
Sara Jalali-Farahani ◽  
Yadollah Mehrabi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Rural Areas ◽  
Urban Areas ◽  
Physical Inactivity ◽  
Multinomial Logistic Regression ◽  
Prevalence Ratio ◽  
Sample Survey ◽  
Activity Levels ◽  
Urban Girls ◽  
Urban And Rural Areas

AbstractIt is well documented that physical inactivity is related to weight gain and a whole host of chronic diseases. This study investigated trends of low physical activity among Iranian adolescents in urban and rural areas between 2006–2011. A total of 12,178 adolescents, aged between 15 and 19 years, participated in National Surveys of Risk Factors for Non-Communicable Diseases. Data on physical activity was obtained using the global physical activity questionnaire. A complex sample survey and multinomial logistic regression were used to model physical activity levels. The percentage of adolescents who had low levels of physical activity increased from 2006 to 2011 in both urban and rural areas. Low and moderate levels of physical activity were lower in rural girls as compared with urban girls, with a prevalence ratio of 0.59 (95% CI 0.47–0.74) and 0.59 (95% CI 0.47–0.74), respectively. The corresponding values for boys residing in rural areas compared with boys in urban areas were 0.56 (95% CI 0.43–0.75) and 0.60 (95% CI 0.48–0.74), respectively. The adolescents' lifestyles showed an increasing trend for physical inactivity in both genders; however, in rural areas, only girls had a rising affinity for a sedentary lifestyle throughout the 2006–2011 years.

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