Individual, Social, and Neighborhood Associations With Sitting Time Among Veterans

2016 ◽  
Vol 13 (1) ◽  
pp. 30-35 ◽  
Author(s):  
Rachel A. Millstein ◽  
Katherine D. Hoerster ◽  
Dori E. Rosenberg ◽  
Karin M. Nelson ◽  
Gayle Reiber ◽  
...  

Background:Sedentary behavior is an increasingly recognized health risk factor, independent of physical activity. Although several correlates of sedentary behavior are known, little research has identified them among U.S. veterans, a population that faces disproportionate chronic disease burden.Methods:A survey was mailed to 1997 randomly selected veterans at a large urban Veterans Affairs medical center in 2012 and remailed in 2013 to nonresponders, resulting in a 40% response rate. We examined individual-, social-, and neighborhood-level factors in association with self-reported sitting time. Factors correlated with sitting time at P < .05 were included in a multiple linear regression model.Results:In the multivariate model, higher depression (B = 7.8), body mass index (B = 5.1), functional impairment (B = 4.2), and self-rated health (B = 68.5) were significantly associated with higher sitting time, and leisure time physical activity (B = –0.10) and being employed (B = –71.3) were significantly associated with lower sitting time.Conclusions:Individual-level, but not social- and neighborhood-level, variables were associated with sitting time in this population. This study identified individual-level targets for reducing sitting time and improving overall health among veterans.

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 ◽  
...  

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.


2018 ◽  
Vol 23 ◽  
pp. 1-8
Author(s):  
Francisco José Gondim Pitanga ◽  
Sheila Maria Alvim Matos ◽  
Maria da Conceição Almeida ◽  
Rosane Härter Griep ◽  
Maria Carmem Viana ◽  
...  

The main objective was to identify the prevalence and factors associated with sedentary behavior (SB). The study comprising a total of 13,765 individuals of both sexes participating in the Longitudinal Study of Adult Health (ELSA-Brasil) assessed in the second wave (2012-2014). e SB was measured using questions related to sitting time during the week and weekend. e associated factors were assessed by face-to-face interviews, with blocks of questionnaires and anthropometric measurements. A hierarchical ecological model was built with all possible factors associated with SB: sociodemographic environment (age and level of education; economic status); behavioral environment (leisure time physical activity, commuting physical activity, beer consumption, current smoking); and biological environment (overweight, obesity and abdominal obesity). Crude and adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) were estimated using logistic regression. Among men and women, higher education, current smoking and abdominal obesity were positively associated with SB, while being over 51 years old and being physically active were negatively associated with SB. The proposed ecological model explains the SB through the sociodemographic, behavioral and biological environment.


Work ◽  
2020 ◽  
Vol 67 (1) ◽  
pp. 203-213
Author(s):  
Wendell C. Taylor ◽  
Bhibha M. Das ◽  
Raheem J. Paxton ◽  
Ross Shegog ◽  
Richard R. Suminski ◽  
...  

BACKGROUND: An increasing level of occupational stress is a major problem in the workplace that requires innovative approaches and strategies. An understudied research area pertains to the effects that physical activity performed during the workday have on occupational stress. OBJECTIVE: To determine if and how an intervention that increases physical activity and reduces sedentary behavior affects workplace stress. The population of interest are employees at a large university medical center including supportive staff, healthcare professionals, physicians, and faculty members; the study design is longitudinal; the approach is the implementation of an innovative workplace program (i.e., the Booster Break). METHODS: We present a logic model promoting physical activity and reducing sitting time during the workday as a feasible and practical strategy to cope with occupational stress. RESULTS: The logic model approach emphasizes that funding, partnerships, and incentives are inputs to implementing program activities such as Booster Break sessions, weekly meetings, social support, and personal self-monitoring. Short-term outcomes were categorized as psychosocial, goal setting, organizational, and social; intermediate outcomes were behavioral and psychosocial; and long-term outcomes were health status and physiological status. CONCLUSIONS: This study is the first known effort to outline a comprehensive intervention based on changing physical activity and sedentary behavior during the workday and the concomitant effects on occupational stress. The findings of this study can be used to develop and implement interventions at workplaces to target increases in physical activity, decreases in sedentary time, and improvements in overall employee health.


Obesity Facts ◽  
2021 ◽  
pp. 1-7
Author(s):  
Fan Yuan ◽  
Weiyan Gong ◽  
Caicui Ding ◽  
Hui Li ◽  
Ganyu Feng ◽  
...  

<b><i>Abstract:</i></b> The aim of this study was to explore association of physical activity and sitting time with overweight/obesity in Chinese occupational populations for the development of intervention and prevention strategies for obesity. <b><i>Methods:</i></b> A total of 23,112 participants were selected from the 2010–2012 China National Nutrition and Health Survey (CNNHS). A logistics regression model was used to examine the associations of physical activity and sitting time with overweight/obesity by gender after adjusting for age, educational level, marital status, and family economic level. <b><i>Results:</i></b> The prevalence of overweight/obesity based on the WHO definition and the WGOC definition was 30.8% and 41.3%, respectively. Male employees with moderate and heavy occupation activity intensity had a lower risk for overweight/obesity than those with light occupation activity intensity (moderate: OR 0.90, 95% CI 0.82–0.98; heavy: OR 0.75, 95% CI 0.65–0.86), and the risk of overweight/obesity of male employees with long work-time spent sitting was higher than those with short work-time spent sitting (2–4.9 h/day: OR 1.26, 95% CI 1.14–1.40; ≥5 h/day: OR 1.29, 95% CI 1.15–1.44). The risk of overweight/obesity of male employees with active transportation mode was lower than those with inactive transportation mode (OR 0.91, 95% CI 0.84–0.99), while the risk of overweight/obesity of female employees with active transportation mode was higher (OR 1.14, 95% CI 1.04–1.25). Female employees with leisure-time physical activity (LTPA) for ≥150 min/week had lower risk of overweight/obesity than those with LTPA for &#x3c;150 min/week (OR 0.69, 95% CI 0.56–0.84). There was no significant association of leisure-time sitting and housework time with overweight/obesity in Chinese occupational populations. <b><i>Conclusion:</i></b> Occupation activity intensity, LTPA, transportation mode, and work sitting time were associated with overweight/obesity. Reducing work sitting time, moderate and heavy occupation activity intensity, and an active transportation mode could help male employees decrease the risk of overweight/obesity. Increasing leisure-time physical activity could reduce the risk of overweight/obesity in women. Our findings provided insight into the association of physical activity and sitting time with overweight/obesity. It will be necessary to carry out workplace-based interventions, have an active transportation mode, and increase leisure-time physical activity to decrease the risks of overweight/obesity.


2021 ◽  
Vol 18 (S1) ◽  
pp. S74-S83
Author(s):  
Emily N. Ussery ◽  
Geoffrey P. Whitfield ◽  
Janet E. Fulton ◽  
Deborah A. Galuska ◽  
Charles E. Matthews ◽  
...  

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.


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.


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.


2021 ◽  
pp. 2100606
Author(s):  
Yue Liu ◽  
Lin Yang ◽  
Meir J. Stampfer ◽  
Susan Redline ◽  
Shelley S. Tworoger ◽  
...  

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.


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 ◽  
...  

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.


Sign in / Sign up

Export Citation Format

Share Document