The Role of Physical Activity and Sedentary Behavior in Substance Use and Risky Sex Behaviors in Hispanic Adolescents

2016 ◽  
Vol 37 (7) ◽  
pp. 910-924 ◽  
Author(s):  
Cynthia Lebron ◽  
Mark Stoutenberg ◽  
Mariel Janowsky ◽  
Lila Asfour ◽  
Shi Huang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Substance Use ◽  
Sedentary Behavior ◽  
Sexual Behaviors ◽  
Sedentary Time ◽  
Risky Behaviors ◽  
Risky Sex ◽  
Sedentary Behaviors ◽  
Hispanic Adolescents ◽  
Monitoring The Future

The purpose of our study was to investigate the potential relationships in Hispanic adolescents ( n = 575) between substance use and/or risky sexual behaviors and (a) physical activity (PA) and (b) sedentary time and (c) the moderating effect of gender. PA levels and sedentary behaviors were assessed using the PA Questionnaire for Adolescents, while risky behaviors were assessed using items similar to those used in the national epidemiological study, Monitoring the Future. We found significant, positive associations between PA and smoking, drug use, and risky sex measures. Similar positive associations existed between sedentary time and risky behaviors. However, after stratifying by gender, most of the relationships remained significant only for males. Our study is among the first to examine these relationships in Hispanic adolescents. Given the emphasis on increasing PA and decreasing sedentary behavior in adolescents, more efforts should be dedicated to understanding the effect of these lifestyle habits on risky behaviors.

scholarly journals Sedentary Behavior and Quality of Life in Individuals With Parkinson’s Disease

2019 ◽  
Vol 33 (8) ◽  
pp. 595-601 ◽  
Author(s):  
Laura D. Ellingson ◽  
Andrew Zaman ◽  
Elizabeth L. Stegemöller
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Sedentary Behavior ◽  
Cognitive Processing ◽  
Sedentary Time ◽  
Health Concern ◽  
Sedentary Behaviors ◽  
Secondary Purpose ◽  
Sedentary Activities

Background. Sedentary behavior is a growing public health concern and may have particular relevance for the Parkinson disease (PD) population. However, the influence of sedentary time on factors associated with quality of life (QOL) in PD is unknown. The primary purpose of this study was to examine relationships between sedentary behaviors and markers of PD-specific QOL. A secondary purpose was to examine relationships between physical activity behaviors and QOL. Methods. We assessed sedentary and active behaviors using objective and interview measures and examined relationships between these behaviors and a measure of PD-specific QOL in individuals with PD. Results. Results demonstrated that sedentary time was significantly related to several aspects of QOL, including perceived deficits in the domains of mobility, cognitive processing, and communication. Additionally, results showed that time spent watching television was more strongly associated with lower levels of QOL than other more engaging sedentary activities. For physical activity, relationships between objective measures and QOL were weaker and only significantly associated with mobility. Time spent doing housework was associated with lower levels of QOL, whereas time spent in recreational activity was associated with lower levels of discomfort. Discussion. These results suggest that targeting decreases in sedentary behaviors (eg, reducing time spent watching television, breaking up prolonged bouts of sedentary time) may be effective for improving QOL in individuals with PD.

scholarly journals An Exploration of Domain-Specific Sedentary Behaviors in College Students by Lifestyle Factors and Sociodemographics

2021 ◽  
Vol 18 (18) ◽  
pp. 9930
Author(s):  
Chelsea Carpenter ◽  
Sang-Eun Byun ◽  
Gabrielle Turner-McGrievy ◽  
Delia West
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Sedentary Behavior ◽  
Screen Time ◽  
Parental Education ◽  
Sedentary Time ◽  
Lifestyle Factors ◽  
Poor Sleep ◽  
Sedentary Behaviors ◽  
Female Self

College students exhibit high levels of sedentary time and/or poor lifestyle factors (e.g., poor sleep, stress, physical inactivity). It is unknown; however, in what domains college students spend their sedentary time and whether there are associations between sedentary time and these lifestyle factors. This study examined sedentary behavior of college students by domains, current lifestyle factors and sociodemographics. Undergraduates (n = 272, M age = 20 years, 79% female) self-reported their sedentary behavior, sleep, stress, physical activity, anthropometrics and sociodemographics. Sedentary time was categorized as: total, recreational screen, education and social. Students reported spending >12 h of their day sedentary on average, with over a third of this time spent in recreational screen time. All categories of sedentary time were significantly correlated with body mass index, and both total sedentary time and screen time were significantly correlated with sleep score, with poorer sleep quality associated with greater sedentary time. Physical activity was negatively correlated with social sedentary time only. Subgroups with elevated sedentary time included minority students, those with low parental education and students with overweight/obesity. Given the negative health impacts of sedentary behavior, college students would likely benefit from interventions tailored to this population which target reducing sedentary time, particularly recreational screen time.

scholarly journals Changes in Physical Activity and Sedentary Behavior in a Randomized Trial of an Internet-Based Versus Workbook-Based Family Intervention Study

2014 ◽  
Vol 11 (2) ◽  
pp. 348-358 ◽  
Author(s):  
Victoria Catenacci ◽  
Christopher Barrett ◽  
Lorraine Odgen ◽  
Ray Browning ◽  
Christine Adele Schaefer ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Screen Time ◽  
Intervention Program ◽  
Sedentary Time ◽  
Healthy Lifestyle ◽  
Vigorous Physical Activity ◽  
Family Intervention ◽  
The Internet ◽  
Sedentary Behaviors

Background:The America on the Move (AOM) Family Intervention Program has been shown to prevent excess weight gain in overweight children. Providing intervention materials via the internet would have the potential to reach more families but may increase sedentary behavior. The purpose was to evaluate whether delivering the AOM Family Intervention via the internet versus printed workbook would have a similar impact on sedentary behaviors in children.Methods:131 children (age 8–12) were randomized to receive the AOM Family Intervention via the internet or workbook for 12 weeks. Changes in objectively measured sedentary time and moderate-to vigorous physical activity (MVPA) as well as self-reported screen time were compared between groups.Results:There were no significant differences between groups in screen time, sedentary time, or MVPA at the end of the 12 week intervention. Families receiving the intervention via the internet were more likely to remain in the study (98% vs. 82%, P = .016).Conclusions:Using the internet to deliver the lifestyle intervention did not increase sedentary behavior in children. Attrition rates were lower when the program was delivered by internet versus via printed materials. These results provide support for using the internet to deliver healthy lifestyle programs for children.

Physical Activity, Sedentary Behavior, and Cancer

2021 ◽  
pp. 21-29
Author(s):  
Christine M. Friedenreich ◽  
Chelsea R. Stone ◽  
Jessica McNeil
Keyword(s):  
Physical Activity ◽  
Cancer Risk ◽  
Sedentary Behavior ◽  
Cancer Incidence ◽  
Sedentary Time ◽  
Physical Activity Participation ◽  
Activity Participation ◽  
Sedentary Behaviors ◽  
Epidemiologic Evidence ◽  
Intervention Trials

This chapter reviews the epidemiologic evidence for the associations between physical activity, sedentary time, and cancer incidence. There is consistent evidence that regular physical activity participation decreases the risk of breast, colorectal, prostate, lung, endometrial, ovarian, and pancreatic cancers and that higher levels of sedentary time increase the risk of colorectal, endometrial, and lung cancers, independently of physical activity participation. There is emerging evidence suggesting a protective effect of resistance exercise and cardiorespiratory fitness on cancer risk. Several plausible biologic mechanisms now exist to explain how physical activity and sedentary behaviors are associated with cancer risk. In addition, common barriers and facilitators to physical activity behavior change are reviewed that should be considered in future intervention trials. The chapter also provides estimates of the population attributable risks for cancer incidence associated with physical inactivity and sedentary behavior and an update on physical activity guidelines aimed at reducing cancer risk.

scholarly journals Impact of COVID-19 Lockdown on Physical Activity Among the Chinese Youths: The COVID-19 Impact on Lifestyle Change Survey (COINLICS)

2021 ◽  
Vol 9 ◽  
Author(s):  
Junmin Zhou ◽  
Xiaofen Xie ◽  
Bing Guo ◽  
Rong Pei ◽  
Xiaofang Pei ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Online Survey ◽  
Sedentary Time ◽  
Lifestyle Change ◽  
Physical Activities ◽  
Sedentary Behaviors ◽  
Related Information ◽  
Three Stages

Background: The study sought to assess the changes in physical activity (PA) and sedentary time among Chinese youths at different stages after the COVID-19 outbreak.Methods: It was based on a retrospective online survey conducted in May 2020. More than 10,000 youths voluntarily recalled their PA-related information at three stages: before COVID-19 (January), during lockdown (February), and after lockdown (May). χ2 tests were conducted to evaluate the significance of the differences in participants' characteristics between sexes, and Wilcoxon Rank Sum tests were performed to examine the significance of differences in changes in PA and sedentary behavior levels between sexes.Results: A total of 8,115 participants were included, with a mean age of 20. The percentage of no PA per week increased significantly and then slightly fell, and that of ≥150 min/week substantially decreased and then rebounded partially (all p < 0.001) (for instance, the percentage of ≥150 min/week of PA total decreased from 38.6 to 19.4%, then rebounded back to 25.3%). Means hours per day spent in sedentary behaviors had significantly increased during lockdown comparing to pre-COVID-19 (all p < 0.001). There were more participants reported reduced PA level than those indicated increased, and more participating youths had their sedentary behavior level increased than those who had it decreased.Conclusions: The study found COVID-19 had both immediate and longer-term impacts on self-reported physical activities and sedentary behaviors among Chinese youths. Relevant efforts should be strengthened to get youths physically moving again.

scholarly journals Which Neighborhood Destinations Matter in the Asian Context? The Role of Destinations in Older Adults’ Physical Activity and Sedentary Behaviors

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Jong-Hwan Park ◽  
Jung-Hoon Park ◽  
Seunghwan Song ◽  
Ting-Fu Lai ◽  
Yung Liao
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Older Women ◽  
Sedentary Time ◽  
Older Men ◽  
Activity Levels ◽  
Sedentary Behaviors ◽  
Physical Activity Recommendations ◽  
Activity Recommendations

Background. Neighborhood destinations play important roles in daily activity levels of older adults. However, little is known about how specific destinations are associated with these activities and/or sedentary behaviors, especially in Asia. This study investigated how neighborhood destinations were associated with physical activity recommendations and excessive sedentary time among older adults. Methods. A telephone-based survey was conducted to collect cross-sectional data on the sociodemographic variables, residential neighborhoods, physical activities, and sedentary behaviors of 1,040 adults aged 65 years and above. Using data derived from Geographic Information Systems (GIS), an adjusted logistic regression was performed to examine the relationships between five neighborhood destination types (i.e., recreational facilities, utilitarian destinations, transit stops, temples, and schools) and both overall physical activity level and sedentary behavior. Results. Significant interactions related to physical activity and sedentary behavior were observed based on both gender and neighborhood destinations. After adjusting for potential confounders, older men living in neighborhoods containing higher numbers of temples were more likely to achieve physical activity recommendations (OR=1.85; 95% CI: 1.16–2.96). On the other hand, older women living in neighborhoods containing higher numbers of utilitarian destinations were more likely to engage in excessive sedentary time (OR=1.70; 95% CI: 1.12–2.56). Conclusions. In Asia, the presence of favorable local neighborhood temples may support physical activity levels for older men, while utilitarian destinations (which have previously been found to support activeness) may be related to excessive sedentary behaviors in older women.

Comparisons of physical activity and sedentary behavior between owners and non-owners of commercial wearable devices

2021 ◽  
Vol 141 (2) ◽  
pp. 89-96
Author(s):  
Hsin-Yen Yen ◽  
Hao-Yun Huang
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Short Form ◽  
Wearable Devices ◽  
Wearable Device ◽  
World Health ◽  
World Health Organization Quality ◽  
Quality Of Life Scale

Aims: Wearable devices are a new strategy for promoting physical activity in a free-living condition that utilizes self-monitoring, self-awareness, and self-determination. The main purpose of this study was to explore health benefits of commercial wearable devices by comparing physical activity, sedentary time, sleep quality, and other health outcomes between individuals who used and those that did not use commercial wearable devices. Methods: The research design was a cross-sectional study using an Internet survey in Taiwan. Self-administered questionnaires included the International Physical Activity Questionnaire–Short Form, Pittsburgh Sleep Quality Index, Health-Promoting Lifestyle Profile, and World Health Organization Quality-of-Life Scale. Results: In total, 781 participants were recruited, including 50% who were users of wearable devices and 50% non-users in the most recent 3 months. Primary outcomes revealed that wearable device users had significantly higher self-reported walking, moderate physical activity, and total physical activity, and significantly lower sedentary time than non-users. Wearable device users had significantly better sleep quality than non-users. Conclusion: Wearable devices inspire users’ motivation, engagement, and interest in physical activity through habit formation. Wearable devices are recommended to increase physical activity and decrease sedentary behavior for promoting good health.

Prevalence of Physical Activity and Sedentary Behaviors in US High School Students by Metropolitan Status and Geographic Region

2006 ◽  
Vol 3 (4) ◽  
pp. 365-380 ◽  
Author(s):  
Andrew E. Springer ◽  
Deanna M. Hoelscher ◽  
Steven H. Kelder
Keyword(s):  
Physical Activity ◽  
High School Students ◽  
Sedentary Behavior ◽  
Geographic Region ◽  
Sedentary Behaviors ◽  
The South ◽  
School Students ◽  
Cross Sectional ◽  
Nationally Representative ◽  
Tv Watching

Background:Geographic differences in the prevalence of physical activity (PA) have been found among adults in the US; similar studies have not been conducted among adolescents.Methods:Using nationally representative cross-sectional data from the CDC’s 2003 Youth Risk Behavior Survey, we estimated the prevalence of PA and sedentary behaviors by metropolitan status and geographic region.Results:The prevalence of PA was lowest and prevalence of sedentary behavior highest for urban students. Students from the South reported the lowest prevalence of PA and the highest prevalence of TV watching, while students from the West generally reported the highest PA prevalence and lowest sedentary behavior prevalence. Prevalence differences ranged from < 1.0% to > 15%, with most differences falling between 5% and 10%.Conclusions:Findings mirror regional variations previously observed in adult PA. We need to understand factors that contribute to lower PA in youth living in the South and in urban settings.

scholarly journals Leading by Example: Association Between Mother and Child Objectively Measured Physical Activity and Sedentary Behavior

2020 ◽  
pp. 1-12
Author(s):  
Brad R. Julius ◽  
Amy M.J. O’Shea ◽  
Shelby L. Francis ◽  
Kathleen F. Janz ◽  
Helena Laroche
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Low Income ◽  
Multivariate Regression ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Mother And Child ◽  
Low Income Mothers ◽  
Objectively Measured ◽  
The Relationship

Purpose: The authors examined the relationship between mother and child activity. Methods: The authors compared moderate–vigorous physical activity (MVPA) and sedentary time of low-income mothers with obesity and their 6- to 12-year-old children on week (WD) and weekend (WE) days. A total of 196 mother–child pairs wore accelerometers simultaneously for a week. Mothers completed questionnaires. Spearman correlation and multivariate regression were used. Results: WE MVPA (accelerometry) was significantly correlated between mothers with children aged 6–7 (rs = .35) and daughters (rs = .27). Self-reported maternal PA time spent with one of their children was significantly correlated with the WE MVPA of all children (rs = .21) and children aged 8–10 (rs = .22) and with the WD MVPA of all children (rs = .15), children aged 8–10 (rs = .23), aged 11–12 (rs = .52), and daughters (rs = .37), and inversely correlated to the WD sedentary time of all children (rs = −.21), children aged 8–10 (rs = −.30), aged 11–12 (rs = −.34), daughters (rs = −.26), and sons (rs = −.22). In multivariate regression, significant associations were identified between reported child–mother PA time together and child MVPA and sedentary time (accelerometry). Conclusions: Mothers may influence the PA levels of their children with the strongest associations found in children aged 6–7 and daughters. Mother–child coparticipation in PA may lead to increased child MVPA and decreased sedentary behavior.

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.

Sign in / Sign up

Export Citation Format

Share Document