Characteristics of a Protocol to Collect Objective Physical Activity/Sedentary Behavior Data in a Large Study: Seniors USP (Understanding Sedentary Patterns)

Dall, Philippa M.; Skelton, Dawn A.; Dontje, Manon L.; Coulter, Elaine; Stewart, S.; Cox, Simon R.; Shaw, RJ; Čukić, Iva; Fitzsimons, Claire; Greig, Carolyn; Granat, Malcolm H.; Der, Geoff; Deary, Ian J.; Chastin, Sébastien

doi:10.1123/jmpb.2017-0004

Cited by 39 publications

(63 citation statements)

References 22 publications

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“…While there was no association between SB or PA with disease activity (BASDAI). In this study, monitors were worn continuously which allowed for 24-h assessment which minimised data loss due to compliance or issues in identifying wear time [36]. Furthermore, the activPAL3 is recognised as the gold standard measurement device for postural SB [20,21], with sleep time, identified using diaries, removed from analysis.…”

Section: Discussionmentioning

confidence: 99%

Physical activity and sedentary behaviour and their associations with clinical measures in axial spondyloarthritis

et al. 2019

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Engaging in physical activity (PA) is a key aspect in the management of axial spondyloarthritis (axial SpA), however, its relationship with clinical measures is unknown. Previous research has mainly focused on subjective methods of measuring PA and sedentary behaviour (SB). The aim of this study was to explore the associations between objectively measured PA and SB with clinical measures in people with established axial SpA. Fifty participants were recruited from secondary-care rheumatology outpatient services in Glasgow, UK. Clinical measures collected included; Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Functional Index (BASFI), Bath Ankylosing Spondylitis Metrology Index (BASMI), Ankylosing Spondylitis Quality of Life (ASQOL) and the Six Minute Walk Test (6MWT). PA and SB were measured using the activPAL3 tri-axial accelerometer. Data from forty-five participants were included (23 males, average age 49 ± 12 years). Participants accumulated an average of 93.2 ± 41.5 min/day walking with an average of 7200 ± 3397 steps/day. The majority of the day (65%) was spent sitting, accumulated in prolonged bouts. Walking time and steps taken/day were associated with better BASFI (r = − 0.395, p = 0.007 and r = − 0.404, p = 0.006), ASQOL (r = − 0.375, p = 0.011 and r = − 0.361, p = 0.015) and 6MWT (r = 0.396, p = 0.007 and r = 0.421, p = 0.004); while longer walking events were associated with better BASMI (rho = − 0.352, p = 0.018), BASFI (rho = − 0.316, p = 0.034) and 6MWT (rho = 0.404, p = 0.006). SB was associated with worse ASQOL (r = 0.380, p = 0.010) and 6MWT (6MWT, r = − 0.357, p = 0.016). In people with axial SpA PA is associated with better function, exercise capacity and spinal mobility, while SB is associated with lower exercise capacity and poor quality of life. These findings support the promotion of PA and reduction of SB in people with axial SpA.

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Section: Discussionmentioning

confidence: 99%

Physical activity and sedentary behaviour and their associations with clinical measures in axial spondyloarthritis

et al. 2019

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“…The present study has several strengths. First, intensive longitudinal design was used, and objective measurements of sedentary time and breaks in sedentary time were assessed with the activPAL3, following the recommended guidelines such as using 24 h data and the activPAL events file for data processing, providing sleep diary and being transparent about activity data processing (Edwardson et al 2016;Dall et al 2018). Second, the CGM used in this study provided accurate interstitial glucose data for up to 14 days and allowed us to examine daily glucose profiles throughout the study period (Bailey et al 2015).…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2019

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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), postlunch 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 intraday glucose regulation in type 2 diabetes. Keywords Type 2 diabetes • Glucose targets • Glycaemic control • Sedentary behaviour • Physical activity • Breaks in sedentary time Abbreviations BMI Body mass index CGM Continuous glucose monitoring GEEs Generalised estimating equations HbA1c Glycated haemoglobin IDF International Diabetes Federation MVPA Moderate to vigorous physical activity QIC Quasi-likelihood under the independence model criterion TIR Time in target glucose range TAR Time above target glucose range * Aye C.

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“…Sedentary time and physical activity were measured using a thigh-worn activPAL3 monitor (PAL Technologies, Glasgow, UK) according to the protocol for large scale studies defined by Dall et al to ensure compliance with thigh worn devices (18). The device is a triaxial accelerometry that provides estimated body posture (sitting/reclining/lying, standing) and stepping speed (cadence) based on acceleration information with a sampling frequency of 20 Hz.…”

Section: Sedentary Behavior and Other Physical Activity Variablesmentioning

confidence: 99%

“…In the absence of established standards to define prolonged sedentary bouts, both ≥ 60 minutes and ≥ 30 minutes of continuous sedentary time were used as a cutoff (14). Daily time spent in PA of moderate-to-vigorous physical activity (MVPA) was computed using the previously validated program based on cadence (18,20). To compare the demographics and contextual characteristics, participants were divided into three groups based on the tertiles of daily sedentary time.…”

Section: Sedentary Behavior and Physical Activity Variablesmentioning

confidence: 99%

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

Huang

Hamer

Chastin

et al. 2019

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Objective To examine the independent and joint associations thigh-worn accelerometry assessed sedentary time and moderate to vigorous physical activity with cardiometabolic health markers. Design Cross-sectional study embedded in the age-46 wave an established birth cohort, the 1970 British Birth Cohort. Setting Population-based sample from Great Britain (England, Scotland, and Wales). Methods Outcome 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. Results 4,634 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. Conclusion Prolonged 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.

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Characteristics of a Protocol to Collect Objective Physical Activity/Sedentary Behavior Data in a Large Study: Seniors USP (Understanding Sedentary Patterns)

Cited by 39 publications

References 22 publications

Physical activity and sedentary behaviour and their associations with clinical measures in axial spondyloarthritis

Physical activity and sedentary behaviour and their associations with clinical measures in axial spondyloarthritis

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

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

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