scholarly journals Addressing the Nonexercise Part of the Activity Continuum: A More Realistic and Achievable Approach to Activity Programming for Adults With Mobility Disability?

2012 ◽  
Vol 92 (4) ◽  
pp. 614-625 ◽  
Author(s):  
Patricia J. Manns ◽  
David W. Dunstan ◽  
Neville Owen ◽  
Genevieve N. Healy
Keyword(s):  
Physical Activity ◽  
Light Intensity ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Metabolic Health ◽  
Moderate Intensity ◽  
Future Research ◽  
Mobility Disability ◽  
Activity Promotion ◽  
Cord Injury

Abstract Participation in physical activity is fundamental for the maintenance of metabolic health and the prevention of major chronic diseases, particularly type 2 diabetes and cardiovascular disease. A whole-of-day approach to physical activity promotion is increasingly advocated and includes not only increasing moderate-intensity physical activity but also reducing sedentary time and increasing light-intensity activity (the “nonexercise” part of the activity continuum). This whole-of-day approach to tackling the challenge of inactivity may be particularly relevant for adults with mobility disabilities, who are among the most inactive segment of the population. Focusing on nonexercise activity by striving to reduce sedentary time and increase light-intensity activity may be a more successful place to begin to change behavior in someone with mobility disability. This article discusses what is known about the metabolic health consequences of sedentary behavior and light-intensity activity in adults with and without mobility disability. The concept of inactivity physiology is presented, along with possible applications or evidence from studies with adults with mobility disability. Mobility disability discussions and examples focus on stroke and spinal cord injury. Finally, clinical implications and future research directions related to sedentary behavior in adults with mobility disability are discussed.

Abstract P332: Socio-environmental Influences on Youth Total Sedentary Time: Results From the Hispanic Community Health Study / Study of Latino Youth

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Melawhy L Garcia ◽  
Sheila F Castaneda ◽  
Linda C Gallo ◽  
Maria Lopez-Gurrola ◽  
Krista M Perreira ◽  
...  
Keyword(s):  
Physical Activity ◽  
Environmental Factors ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Latino Youth ◽  
Self Report ◽  
Health Study ◽  
Future Research ◽  
Linear Regression Models ◽  
Sampling Weights

Introduction: Sedentary behavior (SED) is associated with higher obesity and cardiometabolic risk in youth, independent of physical activity. Studies showing the association between screen time and SED among Hispanics/Latinos, have primarily focused on Mexican-origin Hispanics. Additional research is needed to examine other socio-environmental factors that can influence SED among diverse Hispanics/Latinos. This cross-sectional study examined the home-, neighborhood-, and school- environment to identify factors associated with total sedentary time among youth. Methods: Data from 1,104 youth ages 8-16 years and 728 caregivers (mean age 43.1 ± 8.2 years) from four U.S. cities, who participated in the Study of Latino Youth (2012-2014), were examined. Associations between socio-environmental factors (measured by self-report) and total sedentary time (measured by one-week Actical accelerometry) were examined in linear regression models that included MVPA minutes/day, demographic covariates, and accounted for the complex survey design and sampling weights. Results: Mean sedentary time was 10.1 ± 1.8 hours/day. Home environment factors, such as electronics in the bedroom and parent limit setting, were not associated with total sedentary time. Presence of barriers to physical activity in the neighborhood (e.g., muggings, gangs) was associated with 13.4 more minutes of sedentary time per day. Attending a school that never/rarely compared to sometimes offered after school physical activity opportunities was associated with more sedentary time (B=38.0 minutes/day; 95% Confidence Interval: 13.5-62.4). Conclusions: The study findings highlight the need for future research to investigate other sources of sedentary behavior in the home for interventionist to focus on specific SED-based strategies to decrease sedentary time among youth. Minimizing barriers by identifying safe places to be active in participant’s neighborhoods may also support youth to spend less time indoors where sedentary time is prevalent.

scholarly journals Relationship of Physical Activity and Sedentary Time with Metabolic Health in Children and Adolescents Measured by Accelerometer: A Narrative Review

Healthcare ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 709
Author(s):  
Jungjun Lim ◽  
Joon-Sik Kim ◽  
Soyoung Park ◽  
On Lee ◽  
Wi-Young So
Keyword(s):  
Physical Activity ◽  
Data Collection ◽  
Children And Adolescents ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Health Indicators ◽  
Metabolic Health ◽  
Moderate Intensity ◽  
Accelerometer Data ◽  
Relationship Of

The purpose of this study was to summarize the associations of physical activity (PA) and sedentary time (SED) with metabolic health and examine the effects of time reallocation on metabolic health in adolescents using accelerometer data. A literature search was conducted using PubMed, ScienceDirect, Web of Science, Cochran Library, and Google Scholar, and 27 articles were reviewed. Recent research generally confirms the associations of PA and SED with metabolic health. High PA levels and low SED levels had a positive relationship with metabolic health. Moreover, reallocating 10 min of daily SED to PA was associated with better metabolic health indicators. These results were stronger for moderate-to-vigorous physical activity than for light intensity PA. Thus, efforts to convert SED into PA of at least moderate intensity appear to be an effective strategy to prevent metabolic disease development in children and adolescents. However, some of the associations between PA and metabolic health indicators were inconsistent, depending on age, obesity degree, and PA intensity. Additionally, various accelerometer data collection and processing criteria impact the interpretation of the results. Therefore, consistent accelerometer data collection and analysis methods are needed in future studies. Further, intervention studies are required to verify the causality and effectiveness of the isotemporal substitution model.

scholarly journals A Home-Based Mobile Health Intervention to Replace Sedentary Time With Light Physical Activity in Older Cancer Survivors: Randomized Controlled Pilot Trial (Preprint)

2020 ◽  
Author(s):  
Cindy K Blair ◽  
Elizabeth Harding ◽  
Charles Wiggins ◽  
Huining Kang ◽  
Matthew Schwartz ◽  
...  
Keyword(s):  
Physical Activity ◽  
Light Intensity ◽  
Cancer Survivors ◽  
Sedentary Behavior ◽  
Mobile Health ◽  
Sedentary Time ◽  
Intervention Group ◽  
Health Coaching ◽  
Group Differences ◽  
Home Based

BACKGROUND Older cancer survivors are at risk of the development or worsening of both age- and treatment-related morbidity. Sedentary behavior increases the risk of or exacerbates these chronic conditions. Light-intensity physical activity (LPA) is more common in older adults and is associated with better health and well-being. Thus, replacing sedentary time with LPA may provide a more successful strategy to reduce sedentary time and increase physical activity. OBJECTIVE This study primarily aims to evaluate the feasibility, acceptability, and preliminary efficacy of a home-based mobile health (mHealth) intervention to interrupt and replace sedentary time with LPA (standing and stepping). The secondary objective of this study is to examine changes in objective measures of physical activity, physical performance, and self-reported quality of life. METHODS Overall, 54 cancer survivors (aged 60-84 years) were randomized in a 1:1:1 allocation to the tech support intervention group, tech support plus health coaching intervention group, or waitlist control group. Intervention participants received a Jawbone UP2 activity monitor for use with their smartphone app for 13 weeks. Tech support and health coaching were provided via 5 telephone calls during the 13-week intervention. Sedentary behavior and physical activity were objectively measured using an activPAL monitor for 7 days before and after the intervention. RESULTS Participants included survivors of breast cancer (21/54, 39%), prostate cancer (16/54, 30%), and a variety of other cancer types; a mean of 4.4 years (SD 1.6) had passed since their cancer diagnosis. Participants, on average, were 70 years old (SD 4.8), 55% (30/54) female, 24% (13/54) Hispanic, and 81% (44/54) overweight or obese. Malfunction of the Jawbone trackers occurred in one-third of the intervention group, resulting in enrollment stopping at 54 rather than the initial goal of 60 participants. Despite these technical issues, the retention in the intervention was high (47/54, 87%). Adherence was high for wearing the tracker (29/29, 100%) and checking the app daily (28/29, 96%) but low for specific aspects related to the sedentary features of the tracker and app (21%-25%). The acceptability of the intervention was moderately high (81%). There were no significant between-group differences in total sedentary time, number of breaks, or number of prolonged sedentary bouts. There were no significant between-group differences in physical activity. The only significant within-group change occurred within the health coaching group, which increased by 1675 daily steps (95% CI 444-2906; <i>P</i>=.009). This increase was caused by moderate-intensity stepping rather than light-intensity stepping (+15.2 minutes per day; 95% CI 4.1-26.2; <i>P</i>=.008). CONCLUSIONS A home-based mHealth program to disrupt and replace sedentary time with stepping was feasible among and acceptable to older cancer survivors. Future studies are needed to evaluate the optimal approach for replacing sedentary behavior with standing and/or physical activity in this population. CLINICALTRIAL ClinicalTrials.gov NCT03632694; https://clinicaltrials.gov/ct2/show/NCT03632694

scholarly journals Striking the Right Balance: Evidence to Inform Combined Physical Activity and Sedentary Behavior Recommendations

2021 ◽  
pp. 1-7
Author(s):  
Sebastien F.M. Chastin ◽  
Duncan E. McGregor ◽  
Stuart J.H. Biddle ◽  
Greet Cardon ◽  
Jean-Philippe Chaput ◽  
...  
Keyword(s):  
Physical Activity ◽  
Light Intensity ◽  
Health Outcomes ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
World Health ◽  
Accelerometer Data ◽  
All Cause Mortality ◽  
Intensity Physical Activity ◽  
Vigorous Intensity

Background: Crucial evidence gaps regarding: (1) the joint association of physical activity and sedentary time with health outcomes and (2) the benefits of light-intensity physical activity were identified during the development of recommendations for the World Health Organization Guidelines on physical activity and sedentary behavior (SB). The authors present alternative ways to evidence the relationship between health outcomes and time spent in physical activity and SB and examine how this could be translated into a combined recommendation in future guidelines. Methods: We used compositional data analysis to quantify the dose–response associations between the balance of time spent in physical activity and SB with all-cause mortality. The authors applied this approach using 2005–2006 National Health and Nutrition Examination Survey accelerometer data. Results: Different combinations of time spent in moderate- to vigorous-intensity physical activity, light-intensity physical activity, and SB are associated with similar all-cause mortality risk level. A balance of more than 2.5 minutes of moderate- to vigorous-intensity physical activity per hour of daily sedentary time is associated with the same magnitude of risk reduction for all-cause mortality as obtained by being physically active according to the current recommendations. Conclusion: This method could be applied to provide evidence for more flexible recommendations in the future with options to act on different behaviors depending on individuals’ circumstances and capacity.

scholarly journals A Home-Based Mobile Health Intervention to Replace Sedentary Time With Light Physical Activity in Older Cancer Survivors: Randomized Controlled Pilot Trial

JMIR Cancer ◽  
10.2196/18819 ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. e18819
Author(s):  
Cindy K Blair ◽  
Elizabeth Harding ◽  
Charles Wiggins ◽  
Huining Kang ◽  
Matthew Schwartz ◽  
...  
Keyword(s):  
Physical Activity ◽  
Light Intensity ◽  
Cancer Survivors ◽  
Sedentary Behavior ◽  
Mobile Health ◽  
Sedentary Time ◽  
Intervention Group ◽  
Health Coaching ◽  
Group Differences ◽  
Home Based

Background Older cancer survivors are at risk of the development or worsening of both age- and treatment-related morbidity. Sedentary behavior increases the risk of or exacerbates these chronic conditions. Light-intensity physical activity (LPA) is more common in older adults and is associated with better health and well-being. Thus, replacing sedentary time with LPA may provide a more successful strategy to reduce sedentary time and increase physical activity. Objective This study primarily aims to evaluate the feasibility, acceptability, and preliminary efficacy of a home-based mobile health (mHealth) intervention to interrupt and replace sedentary time with LPA (standing and stepping). The secondary objective of this study is to examine changes in objective measures of physical activity, physical performance, and self-reported quality of life. Methods Overall, 54 cancer survivors (aged 60-84 years) were randomized in a 1:1:1 allocation to the tech support intervention group, tech support plus health coaching intervention group, or waitlist control group. Intervention participants received a Jawbone UP2 activity monitor for use with their smartphone app for 13 weeks. Tech support and health coaching were provided via 5 telephone calls during the 13-week intervention. Sedentary behavior and physical activity were objectively measured using an activPAL monitor for 7 days before and after the intervention. Results Participants included survivors of breast cancer (21/54, 39%), prostate cancer (16/54, 30%), and a variety of other cancer types; a mean of 4.4 years (SD 1.6) had passed since their cancer diagnosis. Participants, on average, were 70 years old (SD 4.8), 55% (30/54) female, 24% (13/54) Hispanic, and 81% (44/54) overweight or obese. Malfunction of the Jawbone trackers occurred in one-third of the intervention group, resulting in enrollment stopping at 54 rather than the initial goal of 60 participants. Despite these technical issues, the retention in the intervention was high (47/54, 87%). Adherence was high for wearing the tracker (29/29, 100%) and checking the app daily (28/29, 96%) but low for specific aspects related to the sedentary features of the tracker and app (21%-25%). The acceptability of the intervention was moderately high (81%). There were no significant between-group differences in total sedentary time, number of breaks, or number of prolonged sedentary bouts. There were no significant between-group differences in physical activity. The only significant within-group change occurred within the health coaching group, which increased by 1675 daily steps (95% CI 444-2906; P=.009). This increase was caused by moderate-intensity stepping rather than light-intensity stepping (+15.2 minutes per day; 95% CI 4.1-26.2; P=.008). Conclusions A home-based mHealth program to disrupt and replace sedentary time with stepping was feasible among and acceptable to older cancer survivors. Future studies are needed to evaluate the optimal approach for replacing sedentary behavior with standing and/or physical activity in this population. Trial Registration ClinicalTrials.gov NCT03632694; https://clinicaltrials.gov/ct2/show/NCT03632694

scholarly journals Advancing the global physical activity agenda: recommendations for future research by the 2020 WHO physical activity and sedentary behavior guidelines development group

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Loretta DiPietro ◽  
Salih Saad Al-Ansari ◽  
Stuart J. H. Biddle ◽  
Katja Borodulin ◽  
Fiona C. Bull ◽  
...  
Keyword(s):  
Physical Activity ◽  
Light Intensity ◽  
Health Outcomes ◽  
Sedentary Behavior ◽  
Health Effects ◽  
Sedentary Time ◽  
World Health ◽  
Expert Advice ◽  
Guidelines Development ◽  
Development Group

Abstract Background In July, 2019, the World Health Organization (WHO) commenced work to update the 2010 Global Recommendations on Physical Activity for Health and established a Guideline Development Group (GDG) comprising expert public health scientists and practitioners to inform the drafting of the 2020 Guidelines on Physical Activity and Sedentary Behavior. The overall task of the GDG was to review the scientific evidence and provide expert advice to the WHO on the amount of physical activity and sedentary behavior associated with optimal health in children and adolescents, adults, older adults (> 64 years), and also specifically in pregnant and postpartum women and people living with chronic conditions or disabilities. Methods The GDG reviewed the available evidence specific to each sub-population using systematic protocols and in doing so, identified a number of gaps in the existing literature. These proposed research gaps were discussed and verified by expert consensus among the entire GDG. Results Evidence gaps across population sub-groups included a lack of information on: 1) the precise shape of the dose-response curve between physical activity and/or sedentary behavior and several of the health outcomes studied; 2) the health benefits of light-intensity physical activity and of breaking up sedentary time with light-intensity activity; 3) differences in the health effects of different types and domains of physical activity (leisure-time; occupational; transportation; household; education) and of sedentary behavior (occupational; screen time; television viewing); and 4) the joint association between physical activity and sedentary time with health outcomes across the life course. In addition, we acknowledge the need to conduct more population-based studies in low- and middle-income countries and in people living with disabilities and/or chronic disease, and to identify how various sociodemographic factors (age, sex, race/ethnicity, socioeconomic status) modify the health effects of physical activity, in order to address global health disparities. Conclusions Although the 2020 WHO Guidelines for Physical Activity and Sedentary Behavior were informed by the most up-to-date research on the health effects of physical activity and sedentary time, there is still substantial work to be done in advancing the global physical activity agenda.

scholarly journals 212Dose-response association and interaction between physical activity and sedentary time on premature rupture of membranes

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Yongle Zhan ◽  
Yu Jiang
Keyword(s):  
Physical Activity ◽  
Light Intensity ◽  
Pregnant Women ◽  
Dose Response ◽  
Sedentary Time ◽  
Moderate Intensity ◽  
Response Relationship ◽  
Premature Rupture Of Membranes ◽  
Dose Response Relationship ◽  
Premature Rupture

Abstract Background Premature rupture of membranes (PROM) is a common pregnancy complication with multifactorial etiology. However, associations between physical activity (PA) and PROM are still unclear. Therefore, this study aims to explore the dose-response relationship and interactions between PA frequency, sedentary time (ST) and PROM. Methods Data on 6848 pregnant women were obtained from the Chinese Pregnant Women Cohort Study. Participants were recruited from July 2017 to November 2018 and were followed up until delivery. The International Physical Activity Questionnaire-Short Form was used to assess the frequency of PA and ST. Logistic regression and restricted cubic spline (RCS) model were used for data analyses. Results Women with frequencies of over 4 days/week of moderate-intensity PA (OR:1.50, 95%CI:1.01∼2.23) and light-intensity PA (OR:1.19, 95%CI:1.04∼1.37) had higher risks of PROM respectively. The RCS model showed that the risk for PROM was significant with frequencies of over 2 days/week of vigorous-intensity PA, over 5 days/week of moderate-intensity PA or over 5 days/week of light-intensity PA (ORs with 95%CI &gt;1). Interactions analyses showed that risks for PROM increased with frequencies of moderate-intensity and light-intensity PA both over 4 days/week (OR:1.80, 95%CI:1.17∼2.77), or with a frequency of light-intensity PA of over 4 days/week and ST of over 6 hours/day (OR:1.36, 95%CI:1.10∼1.69). Conclusions It is necessary to propose a suitable recommendation of frequency and intensity of PA, and identify and propose the corresponding intervention ways to reduce and prevent PROM occurrence during pregnancy. Key messages There is a dose-response relationship and interaction between PA and ST on PROM.

Longitudinal Change in Active and Sedentary Behavior During the After-School Hours

2013 ◽  
Vol 10 (3) ◽  
pp. 416-422 ◽  
Author(s):  
Eric E. Wickel ◽  
Johann Issartel ◽  
Sarahjane Belton
Keyword(s):  
Physical Activity ◽  
Light Intensity ◽  
Sedentary Behavior ◽  
Youth Development ◽  
Sedentary Time ◽  
Longitudinal Change ◽  
After School ◽  
School Behavior ◽  
Age Related ◽  
Intensity Physical Activity

Background:Relatively little is known regarding after-school behavior. This study examined after-school active and sedentary behaviors among youth participating in the Study of Early Child Care and Youth Development.Methods:An interview guided time-use approach was used to obtain detailed longitudinal information about after-school (3−6 PM) behavior of a mixed gender cohort (n = 886) at ages 9 and 11 yrs. Responses obtained in 15-min intervals were coded into 29 exclusive behaviors and separated into 3 main categories [moderate-and vigorous-intensity physical activity (MVPA), light-intensity physical activity, and sedentary]. Sedentary category was further divided into screen and nonscreen categories. A mixed ANOVA design was used to examine gender and age-related differences in MVPA, light-intensity physical activity, sedentary, screen, and nonscreen.Results:MVPA was higher among boys compared with girls (P < .001) and decreased from 9 to 11 yrs (P < .001). Overall, total sedentary time was comparable between boys and girls despite a difference in reported screen time (boys > girls; P < .001) and nonscreen time (boys < girls; P < .001). Total sedentary time increased from 9 to 11 yrs (P < .001).Conclusion:Engagement in after-school behavior appears to change during preadolescence. Additional research is needed to understand factors associated with the selection of active and sedentary behavior over time.

scholarly journals Objectively Measured Physical Activity and Sedentary Time Among Adults With and Without Stroke: A National Cohort Study

Stroke ◽  
2021 ◽  
Author(s):  
Andrea T. Duran ◽  
Christian B. Pascual ◽  
Jeff Goldsmith ◽  
Virginia J. Howard ◽  
Brent Hutto ◽  
...  
Keyword(s):  
Physical Activity ◽  
Light Intensity ◽  
Sedentary Behavior ◽  
Racial Differences ◽  
Sedentary Time ◽  
Stroke Survivors ◽  
National Cohort ◽  
Vigorous Intensity ◽  
Regards Study ◽  
Objectively Measured

Background and Purpose: We examined differences in the volume and pattern of physical activity (PA) and sedentary behavior between adults with and without stroke. Methods: We studied cohort members with an adjudicated or self-reported stroke (n=401) and age-, sex-, race-, region of residence-, and body mass index-matched participants without a history of stroke (n=1203) from the REGARDS study (Reasons for Geographic and Racial Differences in Stroke). Sedentary behavior (total volume and bouts), light-intensity PA, and moderate-to-vigorous-intensity PA were objectively measured for 7 days via hip-worn accelerometer. Results: Sedentary time (790.5±80.4 versus 752.4±81.9 min/d) and mean sedentary bout duration (15.7±12.6 versus 11.9±8.1 min/d) were higher and PA (light-intensity PA: 160.5±74.6 versus 192.9±73.5 min/d and moderate-to-vigorous-intensity PA: 9.0±11.9 versus 14.7±17.0 min/d) lower for stroke survivors compared with controls ( P <0.001). Stroke survivors also accrued fewer activity breaks (65.5±21.9 versus 73.31±18.9 breaks/d) that were shorter (2.4±0.7 versus 2.7±0.8 minutes) and lower in intensity (188.4±60.8 versus 217.9±72.2 counts per minute) than controls ( P <0.001). Conclusions: Stroke survivors accrued a lower volume of PA, higher volume of sedentary time, and exhibited accrual patterns of more prolonged sedentary bouts and shorter, lower intensity activity breaks compared with persons without stroke.

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.

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