Validation of the SenseWear Armband as a Measure of Sedentary Behavior and Light Activity

Reece, Joel D.; Barry, Vaughn; Fuller, Dana K.; Caputo, Jennifer L.

doi:10.1123/jpah.2014-0136

Cited by 38 publications

(30 citation statements)

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“…SWA has limitations and is less sensitive when metabolic activity of very light physical work, such as office work is recorded [21,47]. Physical activity may therefore have been underestimated for office workers (NO subgroup) in our study.…”

Section: Discussionmentioning

confidence: 94%

Physical Activity, Energy Expenditure, Nutritional Habits, Quality of Sleep and Stress Levels in Shift-Working Health Care Personnel

et al. 2017

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BackgroundAmong health care personnel working regular hours or rotating shifts can affect parameters of general health and nutrition. We have investigated physical activity, sleep quality, metabolic activity and stress levels in health care workers from both groups.MethodsWe prospectively recruited 46 volunteer participants from the workforce of a University Medical Department of which 23 worked in rotating shifts (all nursing) and 21 non-shift regular hours (10 nursing, 13 clerical staff). All were investigated over 7 days by multisensory accelerometer (SenseWear Bodymedia® armband) and kept a detailed food diary. Physical activity and resting energy expenditure (REE) were measured in metabolic equivalents of task (METs). Quality of sleep was assessed as Pittsburgh Sleeping Quality Index and stress load using the Trier Inventory for Chronic Stress questionnaire (TICS).ResultsNo significant differences were found for overall physical activity, steps per minute, time of exceeding the 3 METs level or sleep quality. A significant difference for physical activity during working hours was found between shift-workers vs. non-shift-workers (p<0.01) and for shift-working nurses (median = 2.1 METs SE = 0.1) vs. non-shift-working clerical personnel (median = 1.5 METs SE = 0.07, p<0.05). Non-shift-working nurses had a significantly lower REE than the other groups (p<0.05). The proportion of fat in the diet was significantly higher (p<0.05) in the office worker group (median = 42% SE = 1.2) whereas shift-working nurses consumed significantly more carbohydrates (median = 46% SE = 1.4) than clerical staff (median = 41% SE = 1.7). Stress assessment by TICS confirmed a significantly higher level of social overload in the shift working group (p<0.05).ConclusionIn this prospective cohort study shift-working had no influence on overall physical activity. Lower physical activity during working hours appears to be compensated for during off-hours. Differences in nutritional habits and stress load warrant larger scale trials to determine the effect on implicit health-associated conditions.

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Section: Discussionmentioning

confidence: 94%

Physical Activity, Energy Expenditure, Nutritional Habits, Quality of Sleep and Stress Levels in Shift-Working Health Care Personnel

et al. 2017

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“…Data were accepted when the average on-body measuring time was at least 1368 minutes per day (95% of a 24-hour bout). The SWA has been validated in clinical (Van Remoortel et al, 2012) and non-clinical (Reece et al, 2015) populations.…”

Section: Physical Activity and Sedentary Behaviour: Sensewear Armbandmentioning

confidence: 99%

Cardiorespiratory fitness in outpatients with bipolar disorder versus matched controls: An exploratory study

Vancampfort

Sienaert

Wyckaert

et al. 2016

Journal of Affective Disorders

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“…SW monitors have been extensively evaluated for validity of measures of EE, with several recent studies using the SWm. 16–22 To our knowledge, only Reece and colleagues 19 specifically explored SWm measures of time spent in lower intensity activity; their study reported very high accuracy (89%) for SWm measures of time spent across a spectrum of sedentary, light, and moderate activities.…”

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confidence: 98%

SenseWearMini and Actigraph GT3X Accelerometer Classification of Observed Sedentary and Light-Intensity Physical Activities in a Laboratory Setting

Feehan

Goldsmith

Leung

et al. 2016

Physiotherapy Canada

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Purpose: To compare the ability of SenseWear Mini (SWm) and Actigraph GT3X (AG3) accelerometers to differentiate between healthy adults' observed sedentary and light activities in a laboratory setting. Methods: The 22 participants (15 women, 7 men), ages 19 to 72 years, wore SWm and AG3 monitors and performed five sedentary and four light activities for 5 minutes each while observed in a laboratory setting. Performance was examined through comparisons of accuracy, sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios. Correct identification of both types of activities was examined using area under the receiver operating characteristic curve (AUC). Results: Both monitors demonstrated excellent ability to identify sedentary activities (sensitivity>0.89). The SWm monitor was better at identifying light activities (specificity 0.61–0.71) than the AG3 monitor (specificity 0.27–0.47) and thus also showed a greater ability to correctly identify both sedentary and light activities (SWm AUC 0.84; AG3 AUC 0.62–0.73). Conclusions: SWm may be a more suitable monitor for detecting time spent in sedentary and light-intensity activities. This finding has clinical and research relevance for evaluation of time spent in lower intensity physical activities by sedentary adults.

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Validation of the SenseWear Armband as a Measure of Sedentary Behavior and Light Activity

Abstract: The SWA and IC EE rates were strongly correlated during sedentary and light activity office behaviors. However, the SWA may under predict EE during office work (standing or sitting) and when standing motionless, making it slightly less sensitive than IC.

Cited by 38 publications

References 0 publications

Physical Activity, Energy Expenditure, Nutritional Habits, Quality of Sleep and Stress Levels in Shift-Working Health Care Personnel

Physical Activity, Energy Expenditure, Nutritional Habits, Quality of Sleep and Stress Levels in Shift-Working Health Care Personnel

Cardiorespiratory fitness in outpatients with bipolar disorder versus matched controls: An exploratory study

SenseWearMini and Actigraph GT3X Accelerometer Classification of Observed Sedentary and Light-Intensity Physical Activities in a Laboratory Setting

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