Associations of device-measured sedentary time, mentally-passive and mentally-active sedentary behaviors with self-concept in adolescents

2021 ◽  
pp. 100430
Author(s):  
Maria Raquel de Oliveira Bueno ◽  
André de Oliveira Werneck ◽  
Lidyane Ferreira Zambrin ◽  
Kelly Samara da Silva ◽  
Helio Serassuelo Junior ◽  
...  
Keyword(s):  
Sedentary Time ◽  
Self Concept ◽  
Sedentary Behaviors

scholarly journals Temporal Trends and Recent Correlates in Sedentary Behaviors among Chinese Adults from 2002 to 2010–2012

2019 ◽  
Vol 17 (1) ◽  
pp. 158 ◽  
Author(s):  
Caicui Ding ◽  
Ganyu Feng ◽  
Fan Yuan ◽  
Weiyan Gong ◽  
Yecheng Yao ◽  
...  
Keyword(s):  
Urban Areas ◽  
Leisure Time ◽  
Sedentary Time ◽  
Temporal Trends ◽  
Physical Activities ◽  
Sedentary Behaviors ◽  
Chinese Adults ◽  
Nutrition And Health ◽  
Sociodemographic Correlates ◽  
Using Data

Evidence suggests that more time spent in sedentary behaviors (SB) increases health risk independent of physical activities. Trends in SB among adults have not been fully described in China, and the sociodemographic correlates of SB have not been systematically evaluated either. This study examined the temporal trends of SB among 184,257 adults (2002: n = 52,697, 2010–2012: n = 131,560) using data from the China National Nutrition and Health Survey in 2002 and 2010–2012, and analyzed the recent correlates of SB in Chinese adults. Overall, an increase (+0.29 h/d) was seen in total SB across the survey years, and there was a slight increase (+0.14 h/d) in leisure time SB and a decrease (−0.39 h/d) in occupational SB. From 2002 to 2012, the proportion of Chinese adults whose total SB time over 4 h/d increased from 35.4% to 43.0%, and the proportion of leisure SB time over 3 h/d increased from 42.0% to 48.0%, and the proportion of occupational SB time over 4 h/d decreased from 63.4% to 53.0%. Male, urban areas, employed, unmarried, and with higher educational and family economic level were all positively associated with high sedentary time (HST) in 2010–2012. These trends and correlates are important for health policy in China and other countries that are facing similar challenges.

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 It’s A-bout Time: Detailed Patterns of Physical Activity in Obese Adolescents Participating in a Lifestyle Intervention

2015 ◽  
Vol 12 (11) ◽  
pp. 1453-1460 ◽  
Author(s):  
Erin Kaye Howie ◽  
Timothy Olds ◽  
Joanne A. McVeigh ◽  
Rebecca A. Abbott ◽  
Leon Straker
Keyword(s):  
Physical Activity ◽  
Lifestyle Intervention ◽  
Sedentary Time ◽  
Activity Patterns ◽  
Lower Percentage ◽  
Moderate Activity ◽  
Variation Analysis ◽  
Sedentary Behaviors ◽  
Obese Adolescents ◽  
Exposure Variation Analysis

Background:The detailed patterns of physical activity and sedentary behaviors of overweight and obese adolescents are unknown, but may be important for health outcomes and targeted intervention design.Methods:Participants completed Curtin University’s Activity, Food and Attitudes Program (CAFAP), an 8-week intervention with 12 months of maintenance intervention. Physical activity and sedentary time were assessed at 6 time periods with accelerometers and were analyzed by 1) time and type of day, 2) intensity bout patterns using exposure variation analysis, and 3) individual case analysis.Results:Participants (n = 56) spent a lower percentage of time at baseline in light activity during school days compared with weekend days (24.4% vs 29.0%, P = .004). The majority of time was in long uninterrupted sedentary bouts of greater than 30 minutes (26.7% of total time, 36.8% of sedentary time at baseline). Moderate activity was accumulated in short bouts of less than 5 minutes (3.1% of total time, 76.0% moderate time). Changes varied by individuals.Conclusions:Exposure variation analysis revealed specific changes in activity patterns in overweight and obese adolescents who participated in a lifestyle intervention. A better understanding of these patterns can help to design interventions that meaningfully affect specific behaviors, with unique health consequences.

scholarly journals The Association Between Sedentary Screen Time, Non-screen-based Sedentary Time, and Overweight in Chinese Preschool Children: A Cross-Sectional Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Rui Hu ◽  
Hui Zheng ◽  
Congchao Lu
Keyword(s):  
Screen Time ◽  
Sedentary Time ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Early Years ◽  
Healthy Children ◽  
Healthy Weight ◽  
Sedentary Behaviors ◽  
Sectional Study ◽  
Cross Sectional

Introduction: Less is known about the effects of the different domains of sedentary behaviors on healthy weight in young children. This cross-sectional study examined the association between sedentary screen time (SST), non-screen-based sedentary time (NSST), and overweight (and obesity) in Chinese preschoolers.Methods: Data were collected from the Physical Activity and Health in Tianjin Chinese Children study (PATH-CC), involving healthy children 3–6 years old and their families. Children's overweight status was classified according to the international (IOTF) childhood BMI cut-offs. SST and NSST were reported in minutes/day by parents using the leisure-time sedentary behaviors questionnaire. Logistic regression models adjusted by sex, age, socioeconomic status, outdoor play, and sleep duration were used.Results: In a total of 971 children (55.4% boys), 11.8% were overweight. Generally, children spent 1 h/day in SST and 1 h/day in NSST. Multiple models showed that children who spent more time in SST were more likely to be overweight [OR and 95% CI: 1.22 (1.03–1.45)]. No correlation between time spent on NSST and children with overweight was found (P > 0.05).Conclusions: This study indicated that children who spent more time in SST were more likely to be overweight, but a null correlation between NSST and overweight was found. Longitudinal studies designed to identify associations between exposures to screen media and changes in metabolic parameters during a child's early years are needed.

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 Measurement of Sedentary Behaviors or “Downtime” in Rett Syndrome

2017 ◽  
Vol 32 (12) ◽  
pp. 1009-1013 ◽  
Author(s):  
Michelle Stahlhut ◽  
Kylie Hill ◽  
Anne-Marie Bisgaard ◽  
Anne Kjersgaard Jensen ◽  
Michaela Andersen ◽  
...  
Keyword(s):  
Linear Regression ◽  
Rett Syndrome ◽  
Sedentary Time ◽  
Mean Difference ◽  
Sedentary Behaviors ◽  
Diary Card ◽  
The Relationship ◽  
Measured Duration

This study aimed to validate measures of sedentary time in individuals with Rett syndrome. Twenty-six individuals (median [IQR] age 16.0 (9.4-20.6) years) wore an activPAL accelerometer during video-taped activities and agreement was determined between sedentary time determined by the activPAL and observation. For 11 individuals (median [IQR] age 14.5 (11.5-25.6) years), linear regression was used to determine the relationship between sedentary time recorded on the modified Bouchard activity record diary card and measured using the activPAL. In comparison to observation, the activPAL accurately measured duration of sedentary time with a mean difference (limit of agreement) of –1.0 (6.3) minutes. The duration of Bouchard activity record downtime accounted for 73% of the variance of sedentary time measured by the activPAL (coefficient 0.762, 95% CI 0.413 to 1.111). These data provide clinicians and caregivers with capacity to investigate strategies that would aim to increase activity in the nonexercise component of the activity continuum.

scholarly journals Validity of ActiGraph 2-Regression Model, Matthews Cut-Points, and NHANES Cut-Points for Assessing Free-Living Physical Activity

2013 ◽  
Vol 10 (4) ◽  
pp. 504-514 ◽  
Author(s):  
Scott E. Crouter ◽  
Diane M. DellaValle ◽  
Jere D. Haas ◽  
Edward A. Frongillo ◽  
David R. Bassett
Keyword(s):  
Physical Activity ◽  
Indirect Calorimetry ◽  
Leisure Time ◽  
Sedentary Time ◽  
Leisure Time Physical Activity ◽  
Sedentary Behaviors ◽  
Free Living ◽  
Cut Points ◽  
Actigraph Accelerometer ◽  
Measurement Period

Background:The purpose of this study was to compare the 2006 and 2010 Crouter algorithms for the ActiGraph accelerometer and the NHANES and Matthews cut-points, to indirect calorimetry during a 6-hr free-living measurement period.Methods:Twenty-nine participants (mean ± SD; age, 38 ± 11.7 yrs; BMI, 25.0 ± 4.6 kg·m-2) were monitored for 6 hours while at work or during their leisure time. Physical activity (PA) data were collected using an ActiGraph GT1M and energy expenditure (METs) was measured using a Cosmed K4b2. ActiGraph prediction equations were compared with the Cosmed for METs and time spent in sedentary behaviors, light PA (LPA), moderate PA (MPA), and vigorous PA (VPA).Results:The 2010 Crouter algorithm overestimated time spent in LPA, MPA, and VPA by 9.0%−44.5% and underestimated sedentary time by 20.8%. The NHANES cut-points overestimated sedentary time and LPA by 8.3%−9.9% and underestimated MPA and VPA by 50.4%−56.7%. The Matthews cut-points overestimated sedentary time (9.9%) and MPA (33.4%) and underestimated LPA (25.7%) and VPA (50.1%). The 2006 Crouter algorithm was within 1.8% of measured sedentary time; however, mean errors ranged from 34.4%−163.1% for LPA, MPA, and VPA.Conclusion:Of the ActiGraph prediction methods examined, none of them was clearly superior for estimating free-living PA compared with indirect calorimetry.

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.

scholarly journals The Association between Adolescent’s Weight Perception and Health Behaviors: Analysis of National Health and Nutrition Examination Survey Data, 2011–2014

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Furong Xu ◽  
Mary L. Greaney ◽  
Steven A. Cohen ◽  
Deborah Riebe ◽  
Geoffrey W. Greene
Keyword(s):  
Weight Loss ◽  
National Health ◽  
Sedentary Time ◽  
Weight Perception ◽  
Normal Weight ◽  
Sitting Time ◽  
Sedentary Behaviors ◽  
Logistic Regression Models ◽  
Health And Nutrition ◽  
Study Results

The association between adolescents’ weight perception and their physical activity (PA) and sedentary behaviors remains unclear. Therefore, these associations were explored using data from 2438 adolescents aged 12–19 years who participated in the National Health and Nutrition Examination 2011–2014 Survey. Respondents reported weight perception, and their weight perception accuracy was determined by examining whether the measured weight and perceived weight were concordant. Respondents also reported sedentary time (sitting time and screen time), PA, and intention to lose weight. Linear and logistic regression models were conducted to determine whether adolescents’ PA, sedentary behaviors, and weight loss intention differed by weight perception and weight perception accuracy adjusted for demographic variables accounting for complex sampling. About one-quarter (21.4%) of the respondents had obesity. For respondents who perceived themselves as being overweight/fat, despite greater weight loss intention, males reported more sitting time (512.7 ± 16.3 versus 474.1 ± 10.2 minutes/day, p<0.05) and females reported less PA (48.7 ± 5.0 versus 64.6 ± 3.3 minutes/day, p<0.05) than respondents who perceived themselves as being normal weight. Similar patterns were observed for weight perception accuracy among individuals with obesity. Study results show that perceiving oneself as being overweight/fat regardless of accuracy was associated with more sedentary time for males or less PA for females despite higher weight loss intention.

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.

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