Cross-Generational Comparability of Raw and Count-Based Metrics from ActiGraph GT9X and wGT3X-BT Accelerometers during Free-Living in Youth

Clevenger, Kimberly A.; Pfeiffer, Karin A.; Montoye, Alexander H.K.

doi:10.1080/1091367x.2020.1773827

Cited by 20 publications

(15 citation statements)

References 47 publications

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“…However, the present study suggests that comparability is only an issue for ENMO, not MAD. This is supported by freeliving research in children that indicated strong correlations between waist-worn wGT3X-BT and GT9X monitors for mean VM counts and MAD (r=0.996 for both), but a lower (albeit still classified as moderately high) correlation for mean ENMO (r=0.618) and lack of equivalence for mean ENMO between monitors (Clevenger et al, 2020b). The equivalence of the accelerationbased metric MAD in the present study is supported by prior research in free-living adults wearing a wGT3X-BT and GT9X at the hip (Clevenger et al, 2020a).…”

Section: Discussionmentioning

confidence: 64%

“…In this method, 90% confidence intervals around the mean difference for each variable are constructed and if the confidence interval does not overlap or exceed the equivalence bounds, then the monitors are considered equivalent (p<0.05). Similar to prior research (Clevenger et al, 2020a(Clevenger et al, , 2020b, equivalence bounds were initially set as 5% of the mean value for each variable.…”

Section: Methodsmentioning

confidence: 99%

“…Perhaps more importantly, the free-living comparability of the ActiGraph in general has not been well researched for measuring acceleration-based metrics, like Euclidean Norm Minus One (ENMO) (Bakrania et al, 2016;van Hees et al, 2014;van Hees et al, 2013) or Mean Amplitude Deviation (MAD) (Aittasalo et al, 2015;Bakrania et al, 2016;. In children and adults, the acceleration-based metric ENMO has demonstrated poorer reliability than MAD, vector magnitude (VM) counts, or VM acceleration (Clevenger et al, 2020a(Clevenger et al, , 2020b.…”

Section: Introductionmentioning

confidence: 99%

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Impact of ActiGraph Sampling Rate and Intermonitor Comparability on Measures of Physical Activity in Adults

Clevenger

Brønd

Arvidsson

et al. 2021

Journal for the Measurement of Physical Behaviour

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Background: ActiGraph is a commonly used, research-grade accelerometer brand, but there is little information regarding intermonitor comparability of newer models. In addition, while sampling rate has been shown to influence accelerometer metrics, its influence on measures of free-living physical activity has not been directly studied. Purpose: To examine differences in physical activity metrics due to intermonitor variability and chosen sampling rate. Methods: Adults (n = 20) wore two hip-worn ActiGraph wGT3X-BT monitors for 1 week, with one accelerometer sampling at 30 Hz and the other at 100 Hz, which was downsampled to 30 Hz. Activity intensity was classified using vector magnitude, Euclidean Norm Minus One (ENMO), and mean amplitude deviation (MAD) cut points. Equivalence testing compared outcomes. Results: There was a lack of intermonitor equivalence for ENMO, time in sedentary/light- or moderate-intensity activity according to ENMO cut points, and time in moderate-intensity activity according to MAD cut points. Between sampling rates, differences existed for time in moderate-intensity activity according to vector magnitude, ENMO, and MAD cut points, and time in sedentary/light-intensity activity according to ENMO cut points. While mean differences were small (0.1–1.7 percentage points), this would equate to differences in moderate-to vigorous-intensity activity over a 10-hr wear day of 3.6 (MAD) to 10.8 (ENMO) min/day for intermonitor comparisons or 3.6 (vector magnitude) to 5.4 (ENMO) min/day for sampling rate. Conclusions: Epoch-level intermonitor differences were larger than differences due to sampling rate, but both may impact outcomes such as time spent in each activity intensity. ENMO was the least comparable metric between monitors or sampling rates.

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Section: Discussionmentioning

confidence: 64%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impact of ActiGraph Sampling Rate and Intermonitor Comparability on Measures of Physical Activity in Adults

Clevenger

Brønd

Arvidsson

et al. 2021

Journal for the Measurement of Physical Behaviour

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“…Device-measured 24-h movement behaviors SB, PA, and sleep were measured using the wrist-worn ActiGraph accelerometer GT9X Link or wGT3X-BT (ActiGraph Corp., Pensacola, FL, USA) which are comparable if count-based metrics are used [23]. Participants were given an accelerometer at their schools and asked to wear it for seven consecutive days, except when bathing and swimming.…”

Section: Participantsmentioning

confidence: 99%

Replacing school and out-of-school sedentary behaviors with physical activity and its associations with adiposity in children and adolescents: a compositional isotemporal substitution analysis

Gába

Dygrýn

Štefelová

et al. 2021

Environ Health Prev Med

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Background Little is known on how context-specific sedentary behaviors (SB) affect adiposity. This study aimed to investigate compositional associations between context-specific SB and adiposity and estimate the differences in adiposity associated with replacing school and out-of-school SB with physical activity (PA). Methods This study included 336 children and adolescents. Time spent in SB and PA was estimated using multi-day 24-hour raw accelerometer data. SB and PA were specified for school and out-of-school times. Fat mass percentage (FM%) and fat mass index (FMI) were used as adiposity indicators. A compositional isotemporal substitution model was used to estimate differences in adiposity associated with one-to-one reallocations of time from context-specific SB to PA. Results Participants spent approximately two thirds of their school and out-of-school time being sedentary. Relative to the remaining 24-h movement behaviors, significant associations between out-of-school SB and adiposity were found in both boys (βilr1 = 0.63, 95% confidence interval [CI] = 0.03–1.22 for FM%; βilr1 = 0.76, 95% CI = 0.03–1.49 for FMI) and girls (βilr1 = 0.62, 95% CI = 0.25–0.98 for FM%; βilr1 = 0.80, 95% CI = 0.28–1.32 for FMI). Replacing 30 min/day of out-of-school SB with out-of-school light PA decreased FM% by 10.1% (95% CI = 3.3–17.9) and FMI by 14% (95% CI = 2.7–24) in girls. No significant associations were found for school SB. Conclusions A reduction of out-of-school SB in favor of light PA should be advocated as an appropriate target for interventions and strategies to prevent childhood obesity.

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“…Skill Practice was associated with positive engagement in 30-40 sec MVPA in contrast with what was hypothesized and found by Weaver et al (2016) who classified Skill Practice as a MVPA restricting variable and contrary to Fairclough et al (2018), Weaver et al (2016), andFairclough et al (2018) used hip-worn GT3X ActiGraph accelerometers and count-based metrics to measure MVPA while wristworn GT9X ActiGraph accelerometers and raw accelerations metrics were used in this study. It was reported that hip-worn accelerometers do not adequately capture MVPA during object control skills differently from wrist-worn accelerometers (Sacko et al, 2019) and that GT3X and GT9X accelerometers can lead to different and non-equivalent PA output based on the metrics used (Clevenger et al, 2020). Therefore, it is possible that MVPA was underestimated during Skill Practice object-control activities in Weaver et al (2016) and Fairclough et al (2018) studies.…”

Section: Sofit+ Validitymentioning

confidence: 99%

Validation of Modified SOFIT+: Relating Physical Activity Promoting Practices in Physical Education to Moderate-to-vigorous Physical Activity in 5–6 Year Old Children

Crotti

Rudd

Weaver

et al. 2021

Measurement in Physical Education and Exercise Science

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To validate the modified System for Observing Fitness Instruction Time to measure teacher practices related to physical activity promotion (SOFIT+) in physical education (PE) amongst 5-6-year-old-children. Participants (n = 162, 53% female, 6.0 ± 0.3 yrs) were recruited from 9 schools. Video-recordings of 45 PE lessons from 9 teachers/coaches were coded using a modified SOFIT+. Accelerometers measured children's moderate-to-vigorous physical activity (MVPA). Validity was assessed via multinomial regression measuring the relationship of both SOFIT+ index score and individual teaching practices with children's MVPA. Inter-rater reliability was examined. A 1 unit increase in the SOFIT+ index was associated with increased likelihood to engage in 10-19 sec, 20-29 sec and 30-40 sec of MVPA, compared to 0-10 sec. Most of the observed teaching practices were significantly related to children's MVPA. Inter-rater percentage of agreement ranged between 88.8% and 99.7%. SOFIT+ is a valid and reliable assessment of teaching practices related to MVPA promotion in PE amongst 5-6-year-old-children.

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Cross-Generational Comparability of Raw and Count-Based Metrics from ActiGraph GT9X and wGT3X-BT Accelerometers during Free-Living in Youth

Cited by 20 publications

References 47 publications

Impact of ActiGraph Sampling Rate and Intermonitor Comparability on Measures of Physical Activity in Adults

Impact of ActiGraph Sampling Rate and Intermonitor Comparability on Measures of Physical Activity in Adults

Replacing school and out-of-school sedentary behaviors with physical activity and its associations with adiposity in children and adolescents: a compositional isotemporal substitution analysis

Validation of Modified SOFIT+: Relating Physical Activity Promoting Practices in Physical Education to Moderate-to-vigorous Physical Activity in 5–6 Year Old Children

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