The Association between Distance to School, Physical Activity and Sedentary Behaviors in Adolescents: Project STIL

2009 ◽  
Vol 21 (4) ◽  
pp. 450-461 ◽  
Author(s):  
Trish Gorely ◽  
Stuart Biddle ◽  
Simon Marshall ◽  
Noel Cameron ◽  
Louise Cassey

The purpose of this research was to investigate the relationship between distance to school and levels of physical activity and sedentary behavior in UK adolescents. Participants were 1385 adolescents (boys n = 531; mean age 14.7 years). Boys living within two miles of school and girls living within 5 miles of school were more likely to report high levels (≥60 min per day) of weekday leisure time physical activity. Differences in weekday leisure time physical activity were accounted for by active travel time. There were no differences in sedentary behavior time by distance to school. Journeys, whether active or motorized, most often took place with friends. Further research should investigate wider physical and social environmental influences on active travel.

2014 ◽  
Vol 1 (3) ◽  
pp. 1-10
Author(s):  
Vaiva Balčiūnienė

Research background. The prevalence of obesity and chronic diseases among adolescents is rising rapidly in many Western European countries, including Lithuania (Zaborskis, Raskilas, 2011; Currie et al., 2012). Physical activity levels of children and adolescents have declined, whereas in contrast sedentary behavior has increased during the last few decades. In this study based on the cities and districts of Lithuanian population, leisure time physical activity and screen-based sedentary behaviors among 5–7th grade schoolchildren were assessed. The aim of the research was to evaluate association between screen-based sedentary behavior and leisure-time physical activity among Lithuanian 5–7th grade schoolchildren. Research methods and organization. Applying nested random selection / sampling method, 1117 schoolchildren of 5–7th grades from ten Lithuanian pro-gymnasiums, gymnasiums and secondary schools located in different cities and districts were selected. The study was conducted in 2013. The respondents were given a Questionnaire to identify schoolchildren’s demographic data, assess physical activity levels (recommended by the WHO) as well as the levels of time for screen-based sedentary behaviors. Results. In the survey it was established that only 23.3 % of schoolchildren were sufficiently physically active during their leisure time. The average length of TV watching was 3.30 ± 1.67 hours, playing computer 3.51 ± 1.86 hours and internet use 3.41 ± 1.85 hours on week-days. 7th grade girls engaged more frequently in TV watching as compared to 7th grade boys (p < 0.01). The time of playing computer games was higher among boys compared to girls (p < 0.001), but the time of internet use was higher among 6th grade girls compared to 6th grade boys (p < 0.05). The main factors that led to the lack of sufficient physical activity were female gender, senior grade and the higher time of playing computer games and searching the internet. Conclusions. The association between the time of screen-based sedentary behaviors and leisure time physical activity were determined. These study results encourage research of the relations between “exergame” and physical activity among schoolchildren. Keywords: physical activity, screen-based sedentary behaviors, schoolchildren.


Author(s):  
Djousse Luc ◽  
Schubert Petra ◽  
Ho Yuk-Lam ◽  
Whitbourne Stacey B ◽  
Cho Kelly ◽  
...  

Background: Cardiovascular Disease (CVD) remains the leading cause of death in the US. Although Physical Activity (PA) has been inversely associated with the risk of CVD, few studies have examined whether sedentary behaviors modify such association. Our goal was to examine associations of leisure time PA with risk of CVD and mortality and the role of sedentary behavior as potential effect modifier among US veterans. Methods: We analyzed self-reported data on leisure time PA, television watching, and time spent on the computer among 438,364 participants of the Veterans Affairs Million Veteran Program from 2011 to 2018. We calculated metabolic equivalent of task-hours per week (MET-h/week) for each person and used electronic health record data to ascertain CVD. Results: Mean age was 64.6 ± 12.6 years and 92% were men. During a mean follow up of 3.3 years, we observed 22,942 new cases of CVD and 48,325 deaths. There was an inverse relation of leisure time PA with CVD and total mortality [HR: 0.96 (0.95-0.97) and 0.91 (0.90-0.92) per 2 MET-h/week increment for CVD and total mortality, respectively]. The associations of PA with both incident CVD and mortality were stronger in participants who spent more time watching television or on computer (all p values for interaction < 0.01). No interaction of PA with time spent on video game was observed (p>0.05). Conclusions: Leisure time PA is inversely associated with risk of CVD and mortality among US veterans and such relations were stronger in participants who spent more time watching television or on computer.


1996 ◽  
Vol 82 (1) ◽  
pp. 315-321 ◽  
Author(s):  
Steven G. Aldana ◽  
Leanne D. Sutton ◽  
Bert H. Jacobson ◽  
Michael G. Quirk

This study investigated the relationship between physical activity during leisure time and perceived stress among working adults ( N = 32,229). Data were gathered on physical activity, perceived stress, current health status, age, gender, life changes, ongoing problems, number of techniques used for stress reduction, and number of personality traits related to Type A behavior. To control for confounding variables Mantel-Haenszel summary risk estimates were used. Employees who expended more than 3.0 Kcal/kg−1 · day−1 in physical activity during leisure time were 0.78 and 0.62 times less likely to have moderate and high perceived stress, respectively. Working adults participating in moderate amounts of these activities have about half the rate of perceived stress as nonparticipants.


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 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.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1771-1771
Author(s):  
Yun Wang ◽  
Yi-Fei Ouyang ◽  
Xiao-Fang Jia ◽  
Bing Zhang ◽  
Zhihong Wang ◽  
...  

Abstract Objectives Evidence that sedentary behaviors were correlated with unhealthy diet and physical activity were mostly among children and adolescents, but still limited for adults. The aim of this study was to examine the associations between screen-based leisure-time sedentary behaviors (LTSB) including television time and computer time with unhealthy dietary behaviors, and leisure-time physical activity (LTPA) among Chinese adults. Methods Participants (n = 10,108, aged 18–59 years) from a recent cross-sectional study of CHNS (China Health and Nutrition Survey) conducted in 2015 were analyzed. Time spent in LTSB and LTPA were collected from questionnaire. Unhealthy dietary behaviors were collected from three consecutive 24-hour food recalls and the food frequency method. Multivariable logistic regression models were produced to study the odds ratios for unhealthy dietary behaviors and LTPA as the function of the quintile of LTSB. Results Versus the lowest quartile, the OR(95%CI) of the highest quintile of computer time for insufficient vegetable intake (&lt; 300 g/d) was 1.4(1.0,2.0) for male and 1.5(1.1,2.2) for female; the OR(95%CI) for excessive snack intake (≥1 time/day) was 1.6(1.0,2.3) for male and 1.7(1.3,2.4) for female; the OR(95%CI) for excessive western fast food intake (≥1 time/week) was 2.4(1.2,4.4) for male and 2.7(1.4,4.9) for female. The OR(95%CI) of the highest quintile of television time for no LTPA group (0 Mets.h/w) was 1.8(1.3,2.6) for male and 1.5(1.1,2.0) for female; the OR(95%CI) for sufficient LTPA group (≥8 Mets.h/w) was 0.5(0.4,0.8) for male and 0.7(0.5,0.9) for female. The OR(95%CI) of the highest quintile of computer time for no LTPA group (0 Mets.h/w) was 0.4(0.3,0.6) for male and 0.5(0.4,0.7) for female; the OR(95%CI) for sufficient LTPA (≥8 Mets.h/w) group was 2.4(1.7,3.3) for male and was 2.1(1.5,2.9) for female. Conclusions LTSB were associated with unhealthy dietary behaviors and mixed LTPA among Chinese adults. The patterns of “Television time-less LTPA” and “Computer time-unhealthy diet-more LTPA” for Chinese adults were principal associations. Our findings suggest the need for different behavior preventive intervention on different types of screen-based LTSB among Chinese adults. Funding Sources The survey received funding from NIH and from Ministry of Finance of the People's Republic of China.


2019 ◽  
Vol 126 (6) ◽  
pp. 1084-1100 ◽  
Author(s):  
Saulius Sukys ◽  
Vida J. Cesnaitiene ◽  
Arunas Emeljanovas ◽  
Brigita Mieziene ◽  
Irena Valantine ◽  
...  

This study aimed to investigate the relationship between health education and motives and barriers for university students’ engagement in leisure-time physical activity (PA). The research sample included 709 students (312 females and 397 males) in different years of study, ranging in age between 18-25 years. A questionnaire survey method revealed a significant positive relationship between fitness and health motives and students’ leisure-time PA. External barriers were negative predictors of students’ leisure-time PA, while more health education-related courses per week were positively associated with students’ leisure-time PA. Finally, we found that the number of health education-related courses per week moderated the relationship between fitness and health motives and students’ leisure-time PA. These findings suggest that university students’ fitness and health motives and external barriers to be physically active outweigh other motives and barriers in determining their leisure-time PA. In addition, health education in university studies can effectively increase students’ health-related motivation for PA.


Sign in / Sign up

Export Citation Format

Share Document