Validation of ActivPAL Defined Sedentary Time and Breaks in Sedentary Time in 4- to 6-Year-Olds

2014 ◽  
Vol 26 (1) ◽  
pp. 110-117 ◽  
Author(s):  
Xanne Janssen ◽  
Dylan P. Cliff ◽  
John J. Reilly ◽  
Trina Hinkley ◽  
Rachel A. Jones ◽  
...  
Keyword(s):  
Sedentary Time ◽  
Breaks In Sedentary Time

scholarly journals Impact of free-living pattern of sedentary behaviour on intra-day glucose regulation in type 2 diabetes

2019 ◽  
Vol 120 (1) ◽  
pp. 171-179 ◽  
Author(s):  
Aye C. Paing ◽  
Kathryn A. McMillan ◽  
Alison F. Kirk ◽  
Andrew Collier ◽  
Allan Hewitt ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Sedentary Behaviour ◽  
Sedentary Time ◽  
Glucose Monitoring ◽  
Glucose Regulation ◽  
Dawn Phenomenon ◽  
Freestyle Libre ◽  
Breaks In Sedentary Time ◽  
Target Glucose

Abstract Purpose To investigate how the pattern of sedentary behaviour affects intra-day glucose regulation in type 2 diabetes. Methods This intensive longitudinal study was conducted in 37 participants with type 2 diabetes (age, 62.8 ± 10.5 years). Glucose and sedentary behaviour/physical activity were assessed with a continuous glucose monitoring (Abbott FreeStyle Libre) and an activity monitor (activPAL3) for 14 days. Multiple regression models with generalised estimating equations (GEEs) approach were used to assess the associations of sedentary time and breaks in sedentary time with pre-breakfast glucose, pre-lunch glucose, pre-dinner glucose, post-breakfast glucose, post-lunch glucose, post-dinner glucose, bedtime glucose, the dawn phenomenon, time in target glucose range (TIR, glucose 3.9–10 mmol/L) and time above target glucose range (TAR, glucose > 10 mmol/L). Results Sedentary time was associated with higher pre-breakfast glucose (p = 0.001), pre-dinner glucose (p < 0.001), post-lunch glucose (p = 0.005), post-dinner glucose (p = 0.013) and the dawn phenomenon (p < 0.001). Breaks in sedentary time were associated with lower pre-breakfast glucose (p = 0.023), pre-dinner glucose (p = 0.023), post-breakfast glucose (p < 0.001) and the dawn phenomenon (p = 0.004). The association between sedentary time and less TIR (p = 0.022) and the association between breaks in sedentary time and more TIR (p = 0.001) were also observed. Conclusions Reducing sedentary time and promoting breaks in sedentary time could be clinically relevant to improve intra-day glucose regulation in type 2 diabetes.

scholarly journals Associations of breaks in sedentary time with abdominal obesity in Portuguese older adults

AGE ◽  
2015 ◽  
Vol 37 (2) ◽  
Author(s):  
Pedro B. Júdice ◽  
Analiza M. Silva ◽  
Diana A. Santos ◽  
Fátima Baptista ◽  
Luís B. Sardinha
Keyword(s):  
Older Adults ◽  
Abdominal Obesity ◽  
Sedentary Time ◽  
Breaks In Sedentary Time

scholarly journals Independent and Joint Associations of Sedentary Behavior and Physical Activity with Cardiometabolic Health Markers in the 1970 British Birth Cohort

2019 ◽  
Author(s):  
Bo-Huei Huang ◽  
Mark Hamer ◽  
Sebastien Chastin ◽  
Annemarie Koster ◽  
Natalie Pearson ◽  
...  
Keyword(s):  
Physical Activity ◽  
High Density Lipoprotein ◽  
High Density Lipoprotein Cholesterol ◽  
Sedentary Time ◽  
Glycated Hemoglobin ◽  
Vigorous Physical Activity ◽  
Density Lipoprotein ◽  
High Density ◽  
Breaks In Sedentary Time ◽  
Joint Associations

AbstractObjectiveTo examine the independent and joint associations thigh-worn accelerometry assessed sedentary time and moderate to vigorous physical activity with cardiometabolic health markers.DesignCross-sectional study embedded in the age-46 wave an established birth cohort, the 1970 British Birth Cohort.SettingPopulation-based sample from Great Britain (England, Scotland, and Wales).MethodsOutcome measures included: body mass index, waist-to-hip ratio, blood pressure, glycated hemoglobin, high-density lipoprotein cholesterol, total cholesterol, triglycerides, and c-reactive protein. Sedentary behavior and other physical activity exposures, recorded by a thigh-worn activPAL3 accelerometry, included: daily sedentary time, breaks in sedentary time, daily time spent in moderate-to-vigorous physical activity. Multiple linear regression analyses, multiple logistic regression analyses, and general linear models were conducted as applicable.Results4,634 participants were available for the final analysis. After adjusting for potential confounders and moderate-to-vigorous physical activity, daily sedentary time was positively associated with triglycerides (β=0.052 [0.015, 0.089]) and inversely associated with high-density lipoprotein cholesterol (β=-0.015 [-0.022, -0.010]). Daily prolonged sedentary time (≥ 60 minutes) was positively associated with both glycated hemoglobin and log-transformed c-reactive protein (β=0.240 [0.030, 0.440] and 0.026 [0.007, 0.045], respectively) and inversely associated with systolic blood pressure and high-density lipoprotein cholesterol (β=-0.450 [-0.760, -0.150] and -0.013 [-0.022, -0.003], respectively). After adjusting for potential confounders and daily sedentary time, daily breaks in sedentary time were inversely associated with glycated hemoglobin (β=-0.020 [-0.037, -0.003]), and positively associated with both triglycerides and systolic blood pressure (β=0.006 [0.002, 0.010] and 0.030 [0.002, 0.050], respectively). The joint associations of prolonged sedentary time and moderate-to-vigorous physical activity with the prevalence of diabetes were not statistically significant.ConclusionProlonged sedentary time (≥ 60 minutes) and daily breaks in sedentary time were deleteriously associated with glycated hemoglobin, although we found no evidence that there were joint moderate-to-vigorous physical activity and sitting associations.

scholarly journals Frequency of Breaks in Sedentary Time and Postprandial Metabolic Responses

2016 ◽  
Vol 48 (12) ◽  
pp. 2495-2502 ◽  
Author(s):  
NABEHA S. A. HAWARI ◽  
IQBAL AL-SHAYJI ◽  
JOHN WILSON ◽  
JASON M. R. GILL
Keyword(s):  
Sedentary Time ◽  
Metabolic Responses ◽  
Breaks In Sedentary Time

scholarly journals Sedentary time, breaks in sedentary time and metabolic variables in people with newly diagnosed type 2 diabetes

Diabetologia ◽  
2011 ◽  
Vol 55 (3) ◽  
pp. 589-599 ◽  
Author(s):  
A. R. Cooper ◽  
S. Sebire ◽  
A. A. Montgomery ◽  
T. J. Peters ◽  
D. J. Sharp ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Sedentary Time ◽  
Newly Diagnosed ◽  
Metabolic Variables ◽  
Breaks In Sedentary Time

scholarly journals Association of breaks in sedentary time with physical functional loss in osteoarthritis initiative

2015 ◽  
Vol 23 ◽  
pp. A27-A28
Author(s):  
J. Lee ◽  
J. Song ◽  
R.W. Chang ◽  
P.A. Semanik ◽  
L.S. Ehrlich-Jones ◽  
...  
Keyword(s):  
Sedentary Time ◽  
Functional Loss ◽  
Osteoarthritis Initiative ◽  
Breaks In Sedentary Time

scholarly journals A Mobile Health App to Reduce Sedentary Time in Inactive Employees: Study Protocol for a Single-Group, Time Series Feasibility Trial (Preprint)

2018 ◽  
Author(s):  
Dustin S. Kehler ◽  
Andrew N. Stammers ◽  
Laura Meade ◽  
Alex Edye-Mazowita ◽  
Jacqueline L. Hay ◽  
...  
Keyword(s):  
Time Series ◽  
Mobile Health ◽  
Sedentary Time ◽  
Working Environment ◽  
Sitting Time ◽  
Feasibility Trial ◽  
Single Group ◽  
Time Data ◽  
Group Time ◽  
Breaks In Sedentary Time

UNSTRUCTURED Extended bouts of sedentary time are common in the modern working environment. As such, effective interventions are needed to counter the adverse health effects of sitting. We developed a theory-informed, mobile health app (i.e. the ENCOURAGE App) designed to interrupt occupational sitting time. The objective of our study is to investigate the effect of the ENCOURAGE App on the number of breaks in sedentary time taken throughout the day. This is a single-group, time series quasi-experiment evaluating the effect of the ENCOURAGE App on breaks in sedentary time. Data will be collected at baseline pre-intervention, 1-week, 1-month and repeated monthly for 6-months thereafter. We will recruit up to 300 individuals that have downloaded the app using an electronic, mobile consent form. The primary outcome of the study will examine a change in the number of breaks in sedentary time from baseline to one-month. We will also recruit a sub-sample of 60 individuals to collect objective data on physical activity and sedentary behaviour. As the modern working environment continues to promote a sedentary lifestyle, there is an urgent need to identify cost-effective solutions that can be scaled for both small and large organizations. This study aims to develop a novel mobile health app to support employees to reduce their sedentary time and become more physically active. The trial has been registered on ClinicalTrials.gov, a registry database of privately and publicly funded clinical research studies (NCT03403270).

scholarly journals The associations of sedentary time and breaks in sedentary time with 24-hour glycaemic control in type 2 diabetes

2018 ◽  
Vol 12 ◽  
pp. 94-100 ◽  
Author(s):  
Aye C. Paing ◽  
Kathryn A. McMillan ◽  
Alison F. Kirk ◽  
Andrew Collier ◽  
Allan Hewitt ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Glycaemic Control ◽  
Sedentary Time ◽  
Breaks In Sedentary Time

scholarly journals Breaks in Sedentary Time: Beneficial associations with metabolic risk

Diabetes Care ◽  
2008 ◽  
Vol 31 (4) ◽  
pp. 661-666 ◽  
Author(s):  
G. N. Healy ◽  
D. W. Dunstan ◽  
J. Salmon ◽  
E. Cerin ◽  
J. E. Shaw ◽  
...  
Keyword(s):  
Sedentary Time ◽  
Metabolic Risk ◽  
Breaks In Sedentary Time

Breaking Sedentary Time Predicts Future Frailty in Inactive Older Adults: A Cross-Lagged Panel Model

2020 ◽  
Author(s):  
Asier Mañas ◽  
Borja del Pozo-Cruz ◽  
Irene Rodríguez-Gómez ◽  
José Losa-Reyna ◽  
Pedro B Júdice ◽  
...  
Keyword(s):  
Older Adults ◽  
Healthy Aging ◽  
Sedentary Time ◽  
Reciprocal Relationship ◽  
Cross Sectional ◽  
Beneficial Effects ◽  
Physical Activity Recommendations ◽  
Significant Pathway ◽  
Breaks In Sedentary Time ◽  
Physically Inactive

Abstract Background Cross-sectional evidence exists on the beneficial effects of breaks in sedentary time (BST) on frailty in older adults. Nonetheless, the longitudinal nature of these associations is unknown. This study aimed to investigate the direction and temporal order of the association between accelerometer-derived BST and frailty over time in older adults. Methods This longitudinal study analyzed a total of 186 older adults aged 67–90 (76.7 ± 3.9 years; 52.7% females) from the Toledo Study for Healthy Aging over a 4-year period. Number of daily BST was measured by accelerometry. Frailty was assessed with the Frailty Trait Scale. Multiple cross-lagged panel models were used to test the temporal and reciprocal relationship between BST and frailty. Results For those physically inactive (n = 126), our analyses revealed a reciprocal inverse relationship between BST and frailty, such as higher initial BST predicted lower levels of later frailty (standardized regression coefficient [β] = −0.150, 95% confidence interval [CI] = −0.281, −0.018; p &lt; .05); as well as initial lower frailty levels predicted higher future BST (β = −0.161, 95% CI = −0.310, −0.011; p &lt; .05). Conversely, no significant pathway was found in the active participants (n = 60). Conclusions In physically inactive older adults, the relationship between BST and frailty is bidirectional, while in active individuals no associations were found. This investigation provides preliminary longitudinal evidence that breaking-up sedentary time more often reduces frailty in those older adults who do not meet physical activity recommendations. Targeting frequent BST may bring a feasible approach to decrease the burden of frailty among more at-risk inactive older adults.

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