Validation of a physical activity accelerometer device worn on the hip and wrist against polysomnography

Full, Kelsie M; Kerr, Jacqueline; Grandner, Michael A.; Malhotra, Atul; Moran, Kevin; Godoble, Suneeta; Natarajan, Loki; Soler, Xavier

doi:10.1016/j.sleh.2017.12.007

Cited by 99 publications

(72 citation statements)

References 34 publications

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“…Participants wore a small, light-weight, wrist-worn triaxial accelerometer for 9 days (ActiGraph wGT3X-BT, Actigraph, LLC, Pensacola, FL, 2013) [18][19][20][21]. Prior to use, the monitors were connected to an IBMcompatible computer via USB interface and initialized to sample at 30 Hz, using proprietary software (Actilife 6.13.4, Actigraph, LLC, Pensacola, FL, 2009-2015).…”

Section: Accelerometer Data Collection and Data Reductionmentioning

confidence: 99%

Descriptive epidemiology of objectively-measured, free-living sleep parameters in a rural African setting.

Cook

Mohlabe

Alberts

2020

Preprint

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Abstract Objectives: To investigate the descriptive nature of objectively-measured, free-living sleep quantity and quality, and the relationship to adiposity, in a rural African setting in 145 adults (≥40 years, female: n=104, male: n=41). Wrist-mounted, triaxial accelerometry data was collected over nine days. Measures of sleep quantity and quality, and physical activity were extracted from valid minute-by-minute data. Adiposity indices were body-mass-index, waist circumference and conicity index. Self-reported data included behavioural, health and socio-demographic variables. Community consultation followed the quantitative data analyses, for validation and interpretation of findings. Results: Females had more nocturnal sleep than males (7.2 vs. 6.8 hours/night, p=0.0464) while males recorded more diurnal sleep time (p=0.0290). Wake after sleep onset and number of awakenings were higher in females, and sleep efficiency was higher in males (p≤0.0225). Sleep indices were generally similar between weekdays and weekends, except for sleep fragmentation index (p=0.0458). Sleep quantity, but not sleep quality was independently and inversely associated with adiposity (p=0.0453). Physical activity and morbidity measures were significantly and consistently associated with sleep and adiposity measures (p<0.0458). The preliminary qualitative data suggests that future studies should include more detailed data around contextual issues of sleep (social, cultural, economic, environment).

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Section: Accelerometer Data Collection and Data Reductionmentioning

confidence: 99%

Descriptive epidemiology of objectively-measured, free-living sleep parameters in a rural African setting.

Cook

Mohlabe

Alberts

2020

Preprint

View full text Add to dashboard Cite

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“…Actigraph GT3X accelerometers (Actigraph, Pensacola, Florida, USA) were used for sleepwake scoring for seven consecutive nights during a regular school week (76,77). The accelerometer was attached to the non-dominant wrist in order to improve compliance and also to record isolated arm movements (62,78). If at least ten consecutive minutes were categorised as awake, the sleep period ended.…”

Section: Sleep Analysismentioning

confidence: 99%

Impaired lung function in children and adolescents with Fontan circulation may improve after endurance training

et al. 2018

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Fontan patients have a restrictive lung pattern, reduced pulmonary diffusing capacity, and reduced maximal oxygen uptake compared with healthy controls. Endurance training may improve vital capacity in Fontan patients. The normal increase in pulmonary diffusing capacity with age and growth was reduced in Fontan patients, which is concerning. Apart from general health effects, exercise may improve lung function in young Fontan patients and should be encouraged.

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“…PSG validation studies of the ActiGraph published for both children and adults do not include WASO metrics for this device (16,24). In part this may be due to algorithms within the proprietary software for analyzing ActiGraph sleep data.…”

Section: Discussionmentioning

confidence: 99%

“…Conversely, when a person has very restless sleep, in the case of some sleep disorders, actigraphy can underestimate sleep (10). In addition, most sleep algorithms were developed for devices worn at the wrist and only a limited number of studies in adults (11)(12)(13)(14)(15)(16) have demonstrated the accuracy of these algorithms compared to PSG when worn at the hip. To our knowledge, there are no studies that compare actigraphs worn at the hip to PSG in children.…”

Section: Introductionmentioning

confidence: 99%

ActiGraph GT3X+ and Actical Wrist and Hip Worn Accelerometers for Sleep and Wake Indices in Young Children Using an Automated Algorithm: Validation With Polysomnography

et al. 2020

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Objectives: Our count-scaled algorithm automatically scores sleep across 24 hours to process sleep timing, quantity, and quality. The aim of this study was to validate the algorithm against overnight PSG in children to determine the best site placement for sleep. Methods: 28 children (5-8 years) with no history of sleep disturbance wore two types of accelerometers (ActiGraph GT3X+ and Actical) at two sites (left hip, non-dominant wrist) for 24-h. Data were processed using the count-scaled algorithm. PSG data were collected using an in-home Type 2 device. PSG-actigraphy epoch sensitivity (sleep agreement) and specificity (wake agreement) were determined and sleep outcomes compared for timing (onset and offset), quantity [sleep period time (SPT) and total sleep time (TST)], and quality metrics [sleep efficiency and waking after sleep onset (WASO)]. Results: Overall, sensitivities were high (89.1% to 99.5%) and specificities low (21.1% to 45.7%). Sleep offset was accurately measured by actigraphy, regardless of brand or placement site. By contrast, sleep onset agreed with PSG using hip-positioned but not wrist-positioned devices (difference ActiGraph : PSG 21 min, P < .001; Actical : PSG 14 min, P < .001). The ActiGraph at the wrist accurately detected WASO and sleep efficiency, but under (−34 min, P < .001) and overestimated (5.8%, P < .001) these at the hip. The Actical under-and overestimated these variables respectively at both sites. Results for TST varied ranging from significant differences to PSG of −26 to 21 min (ActiGraph wrist and hip respectively) and 9 min (ns) to 59 min for Actical (wrist and hip respectively). Conclusion: Overall the count-scaled algorithm produced high sensitivity at the expense of low specificity in comparison with PSG. A best site placement for estimates of all sleep variables could not be determined, but overall the results suggested ActiGraph GT3X+ at the hip may be superior for sleep timing and quantity metrics, whereas the wrist may be superior for sleep quality metrics. Both devices placed at the hip performed well for sleep

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Validation of a physical activity accelerometer device worn on the hip and wrist against polysomnography

Cited by 99 publications

References 34 publications

Descriptive epidemiology of objectively-measured, free-living sleep parameters in a rural African setting.

Descriptive epidemiology of objectively-measured, free-living sleep parameters in a rural African setting.

Impaired lung function in children and adolescents with Fontan circulation may improve after endurance training

ActiGraph GT3X+ and Actical Wrist and Hip Worn Accelerometers for Sleep and Wake Indices in Young Children Using an Automated Algorithm: Validation With Polysomnography

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