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 ◽  
...  

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.

Author(s):  
Chelsea Carpenter ◽  
Sang-Eun Byun ◽  
Gabrielle Turner-McGrievy ◽  
Delia West

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.


2017 ◽  
Vol 29 (3) ◽  
pp. 408-418 ◽  
Author(s):  
Eimear Keane ◽  
Xia Li ◽  
Janas M. Harrington ◽  
Anthony P. Fitzgerald ◽  
Ivan J. Perry ◽  
...  

Purpose:Globally, public health policies are targeting modifiable lifestyle behaviors. We explore the independent association of moderate-to-vigorous physical activity (MVPA) and sedentary behavior on the risk of childhood overweight/obesity.Method:A cross-sectional survey of children aged 8–11 years (N = 826). Objective body mass index was used to classify children as normal weight or overweight/obese. Children wore wrist-worn Geneactiv accelerometers for 7-days and thresholds were applied to categorize MVPA and sedentary time. Screen time (ST) was parent reported. Poisson regression examined the independent association of (1) MVPA (2), objective sedentary time and (3) ST on the risk of overweight/obesity.Results:Overall, 23.7% (95% CI, 20.8–26.6%) of children were overweight/obese. On average, children spent 10.8% of waking time at MVPA and 61.3% sedentary. One-fifth (22.1%, 95% CI, 19.3–25.0%) of children achieved MVPA recommendations (≥ 60 min each day) and 17.5% (95% CI, 14.9–20.1%) met ST recommendations (<2 hr per day). Time spent at MVPA was inversely associated with the risk of overweight/obese independent of total sedentary time. Total time spent sedentary was not associated with overweight/obese independent of MVPA. ST was associated with an increased risk of overweight/obese independent of physical activity.Conclusion:Few schoolchildren met physical activity and screen time recommendations suggesting population based measures are needed.


Author(s):  
Huixuan Zhou ◽  
Xiaotong Dai ◽  
Litian Lou ◽  
Chan Zhou ◽  
Wei Zhang

Background: Sports university students are usually expected to lead an active life and have a lower risk of depression. Therefore, there are few studies on depression and its risk factors among this population. This study aimed to investigate depression and its association with sedentary behavior and physical activity in sports university students. Methods: A cross-sectional survey was conducted among undergraduates majoring in physical education in a sports university in Beijing in March 2021. Students were asked about sociodemographic information, domain-specific sedentary behavior, physical activity, and depression (using a nine-item Patient Health Questionnaire). Chi-squared test and logistic regression were carried out to analyze the data. Results: Among a total of 584 participants, the detection rate of depression was 49.1%. The median of total sedentary time was 7.29 h per day. After adjusting for covariates, recreational screen time (OR = 1.540, p = 0.035), sedentary time spent completing schoolwork (OR = 0.658, p = 0.038), and participation in vigorous physical activity everyday (OR = 0.415, p = 0.001) and a few times per week (OR = 0.423, p < 0.001) were significantly associated with depression. Conclusions: Sports university students are not immune to depression and inactive lifestyles. Excessive recreational screen time may have an adverse effect on depression, which is somewhat independent of physical activity.


2020 ◽  
pp. 1-12
Author(s):  
Brad R. Julius ◽  
Amy M.J. O’Shea ◽  
Shelby L. Francis ◽  
Kathleen F. Janz ◽  
Helena Laroche

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.


2019 ◽  
Vol 33 (8) ◽  
pp. 595-601 ◽  
Author(s):  
Laura D. Ellingson ◽  
Andrew Zaman ◽  
Elizabeth L. Stegemöller

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.


2020 ◽  
Vol 34 (6) ◽  
pp. 505-511 ◽  
Author(s):  
Whitney N. Neal ◽  
Katie L. Cederberg ◽  
Brenda Jeng ◽  
Jeffer E. Sasaki ◽  
Robert W. Motl

Background. Fatigue is a debilitating symptom in multiple sclerosis (MS) that may be associated with reduced physical activity and increased sedentary behavior. Objective. This study examined the associations among fatigue and device-measured physical activity and sedentary behavior in people with MS. Methods. The participants (n = 252) completed the Patient Determined Disease Steps (PDDS) and Fatigue Severity Scale (FSS) and wore a waist-mounted accelerometer for 7 days. Participants were divided into 2 groups based on fatigue severity as measured by the FSS scale. We compared percentage of wear time spent in sedentary, light physical activity (LPA), and moderate to vigorous physical activity (MVPA) between the 2 groups. Results. Persons in the fatigued group (FSS score ≥ 4) spent a greater percentage of time in sedentary behavior ( P = .004) and a lower percentage of time in LPA ( P = .035). Persons in the fatigued group further spent a lower percentage of time in nontransformed MVPA ( P < .001) and square-root-transformed MVPA ( P < .001) than persons in the nonfatigued group. When controlling for PDDS scores and years of education, there were no longer significant differences between groups in sedentary behavior, LPA, or transformed MVPA values; the difference in nontransformed MVPA was still statistically significant but likely the result of nonnormally distributed data. Conclusion. The present study suggests that factors other than fatigue might be associated with physical activity and sedentary behavior in MS, and this group might benefit from focal behavioral interventions that take into account mobility status in persons with MS who have fatigue.


Author(s):  
Wen-Yi Wang ◽  
Yu-Ling Hsieh ◽  
Ming-Chun Hsueh ◽  
Yang Liu ◽  
Yung Liao

Levels of physical activity and sedentary behavior among adolescents seem to vary within different settings, but few Asian studies have compared physical activity and sedentary activity patterns in adolescents across weekdays/weekends and during-school time/after-school time. This study aimed to provide objectively measured data describing intensity-specific physical activity and sedentary behavior patterns in Taiwanese adolescents. The results were sorted by gender and divided between weekdays/weekends and during-school time/after-school time. A total of 470 Taiwanese students (49.6% boys, ages 12–15 y) were recruited and fitted with GT3X+ accelerometers for seven days. Intensity-specific physical activity, total sedentary time, and sedentary bouts (number and duration ≥30 min) were measured. The Mann-Whitney U test was used to examine the significant differences in physical activity and sedentary behavior patterns between the genders on weekdays/weekends and during school/after-school time. The results show that the adolescents’ overall activity levels were below recommended thresholds, with girls engaging in significantly less moderate to vigorous physical activity, having longer sedentary time, longer time spent in sedentary bouts, and more frequent sedentary bouts than boys. Similar results were observed in physical activities of each intensity as well as sedentary behavior variables, both on weekdays/weekends and during-school/after-school periods. These findings emphasize the importance of developing and implementing approaches to increase moderate to vigorous physical activity, as well as decrease prolonged sedentary time and long sedentary bouts, especially for Taiwanese girls.


Author(s):  
Alexis C. Frazier-Wood ◽  
Ingrid B. Borecki ◽  
Mary F. Feitosa ◽  
Paul N. Hopkins ◽  
Caren E. Smith ◽  
...  

Background:Time spent in sedentary activities (such as watching television) has previously been associated with several risk factors for cardiovascular disease (CVD) such as increased low-density lipoprotein cholesterol (LDL-C). Little is known about associations with lipoprotein subfractions. Using television and computer screen time in hours per day as a measure of sedentary time, we examined the association of screen time with lipoprotein subfractions.Methods:Data were used from men and women forming the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) study population. Mixed linear models specified lipoprotein measures as the outcome, and screen time as the predictor for fourteen lipoprotein subfraction measures, and included age, smoking status, pedigree, and fat, carbohydrate daily alcohol and energy intake as covariates. Analyses were run separately for men (n = 623) and women (n = 671). A step-down Bonferroni correction was applied to results. The analysis was repeated for significant results (p < .05), additionally controlling for body mass index (BMI) and moderate and vigorous physical activity.Results:Linear models indicated that screen time was associated with five lipoprotein parameters in women: the concentration of large VLDL particles (p = .01), LDL particle number (p = .01), concentration of small LDL particles (p = .04), the concentration of large HDL particles (p = .04), and HDL diameter (p = .02). All associations remained after controlling for moderate or vigorous physical activity and BMI.Conclusions:We show that sedentary time is associated with lipoprotein measures, markers of cardiometabolic disease, independently of physical activity and BMI, in women but not men.


2010 ◽  
Vol 7 (4) ◽  
pp. 465-474 ◽  
Author(s):  
Jihong Liu ◽  
Jinseok Kim ◽  
Natalie Colabianchi ◽  
Andrew Ortaglia ◽  
Russell R. Pate

Background:We examined the covarying patterns of physical activity and sedentary behaviors among adolescents and their long-term maintenance.Methods:Data came from the National Longitudinal Study of Adolescent Health (1995–2002). We used latent class analysis to identify distinct covarying patterns in adolescence. Logistic regression models were used to predict odds of meeting moderate-to-vigorous physical activity (MVPA) recommendations (≥5 bouts/week) and exceeding screen time guidelines (>2 hours/day) 6 years later based on their adolescent class profile.Results:Five classes for each gender were identified and labeled as low physical activity (PA)/low sedentary behaviors (SED), moderate (Mod) PA/high (HI) SED, Mod PA/low SED, HI PA/low SED, and HI PA (except skating/biking)/low SED. Compared with low PA/low SED, males and females in Mod PA/low SED, HI PA/low SED, and HI PA (except skating/biking)/low SED classes had increased odds of meeting MVPA recommendations in young adulthood. Mod PA/HI SED had higher odds of exceeding screen time guidelines in young adulthood (adjusted odds ratio [AOR] for females: 1.67, 95% CI: 1.00−2.81; AOR for males: 3.31, 95% CI: 1.80−6.09).Conclusions:Findings are useful to aid the development of multifactorial interventions that promote physical activity and reduce screen time among adolescents transitioning to adulthood.


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
John Bellettiere ◽  
Michael J LaMonte ◽  
Eileen Rillamas-Sun ◽  
Jacqueline Kerr ◽  
Kelly R Evenson ◽  
...  

Background: Evidence on sedentary behavior and cardiovascular disease (CVD) is largely based on self-reported sedentary time. Furthermore, how sedentary time is accumulated (in longer vs. shorter bouts) may be related to CVD risk but has not been tested. Methods: Women (n=5638, mean age=79±7) with no history of myocardial infarction or stroke wore accelerometers for 4-7 days and were followed for up to 4 years for incident CVD. Hazard ratios (HR) and 95% confidence intervals (CIs) for CVD and coronary heart disease (CHD) events were estimated across quartiles of sedentary time and mean sedentary bout duration using Cox proportional hazard models adjusting for covariates. Separate models evaluated associations after adding moderate-to-vigorous physical activity (MVPA) and possible mediators: body mass index, diabetes, hypertension, systolic blood pressure, fasting glucose, HDL-cholesterol, and triglycerides. We then tested whether mean bout duration was associated with increased risk for CVD and CHD among women with above median sedentary time (≥10hr/day). Results: Covariate-adjusted HRs for CVD and CHD increased across quartiles of both sedentary time and mean bout duration (Table). All CHD associations remained significant but attenuated after adjustment for possible mediators. After adjustment for MVPA, highest vs. lowest quartile HRs (CI) for CHD were 1.6 (0.7-3.4; p-trend = .08) for sedentary time and 1.8 (0.9-3.5; p-trend = .047) for mean bout duration. Among women with high sedentary time, the HRs (CI) comparing the 75 th vs. 25 th percentile of mean bout duration were 1.05 (0.95-1.15) for CVD and 1.16 (1.01-1.34) for CHD. Conclusions: Both sedentary time and mean bout duration showed independent, dose-response associations with increased risk of CVD and CHD events in older women. Among women with high sedentary time, longer mean bout duration was associated with higher CHD risk. Taken together, this provides evidence that both total sedentary time and the way it is accumulated are predictive of incident CHD.


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