ActivPAL and ActiGraph Assessed Sedentary Behavior and Cardiometabolic Health Markers.

KAMLESH KHUNTI,JOSEPH HENSON,STUART J. H. BIDDLE,BENJAMIN MAYLOR,MELANIE J. DAVIES,THOMAS YATES,CHARLOTTE L. EDWARDSON

doi:10.1249/mss.0000000000002138

Abstract

To establish whether associations between sedentary behavior and cardiometabolic health differ when assessed by thigh-worn and waist-worn accelerometry. Participants were recruited from several areas in the United Kingdom. Sedentary behavior was assessed using the activPAL worn on the thigh and ActiGraph worn on the waist. Average total (TST), prolonged (bouts ≥30 min; PST) and breaks (BST) in sedentary time were calculated. Cardiometabolic health markers included: adiposity (body fat) and surrogate markers of adiposity ((waist circumference, body mass index [BMI]), lipids (total, low density lipoprotein, and high-density lipoprotein [HDL] cholesterol, triglycerides), blood pressure, and glucose (fasting, 2 h and glycated hemoglobin A1c). A clustered cardiometabolic risk score was calculated. Linear regression analysis examined the associations with cardiometabolic health. There were 1457 participants (mean age [± standard deviation], 59.38 ± 11.85 yr; 51.7% male; mean BMI, 30.19 ± 5.59 kg·m) included in the analyses. ActivPAL and ActiGraph sedentary variables were moderately correlated (0.416-0.511, P < 0.01); however, all variables were significantly different from each other (P < 0.05). Consistency was observed across devices in the direction and magnitude of associations of TST and PST with adiposity, surrogate markers of adiposity, HDL, triglycerides, and cardiometabolic risk score and for BST with adiposity, surrogate markers of adiposity, and cardiometabolic risk. Differences across devices were observed in associations of TST and PST with diastolic blood pressure, for TST with 2-h glucose and for BST with HDL. No other associations were observed for any other health marker for either device. Results suggest that associations with cardiometabolic health are largely comparable across the two common assessments of sedentary behavior but some small differences may exist for certain health markers.

Highlights

A wealth of epidemiological evidence exists linking high levels of sedentary behaviour, defined as sitting, lying and reclining behaviours with low energy expenditure performed during waking hours [1], to morbidity [2,3,4] and mortality [4,5]
Results suggest that associations with cardiometabolic health are largely comparable across the two common assessments of sedentary behaviour but some small differences may exist for certain health markers
Time spent in different behaviours measured by the activPAL and ActiGraph are presented in Table

Summary

Introduction

A wealth of epidemiological evidence exists linking high levels of sedentary behaviour, defined as sitting, lying and reclining behaviours with low energy expenditure performed during waking hours [1], to morbidity [2,3,4] and mortality [4,5]. Sedentary behaviour has mainly been assessed by self-report, surrogate measures of sitting (e.g., TV viewing), and waist-worn accelerometry, which infers sedentary behaviour from lack of movement rather than assessing the specific postures of sitting, lying and reclining. Some studies [6,7,8], but not all [9,10], suggest that the number of breaks in sedentary behaviour per day is an important factor for some aspects of cardiometabolic health. These ‘breaks in sedentary behaviour’ have been inferred from waist-worn accelerometer data. A break in sedentary behaviour is determined when an individual moves above the 100 count/minute threshold, changes from standing to ambulation may be classified as a ‘break’ leading to an overestimation in the number of breaks per day

Objectives

Methods

Results

Conclusion