Temporal Alignment of Dual Monitor Accelerometry Recordings

Brønd, Jan Christian; Pedersen, Natascha Holbæk; Larsen, Kristian Traberg; Grøntved, Anders

doi:10.3390/s21144777

Cited by 4 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…the lag of seconds between change in one person's behavior and parallel change in another person's behaviors [6]. Also, the initial offset and drift in the real time clock between the accelerometers attached to the parent and child may also result in underestimation of behavioral synchrony [17]. However, the sequence analysis using TWED, which allows incorporating variations in behavior timing between the child and parent yielded similar results.…”

Section: Discussionmentioning

confidence: 99%

A randomized trial of the effects of limiting digital screen use on parent-child synchrony in physical behaviours and family cohesion

Grøntved,

Sørensen,

Schmidt-Persson

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

Engagement in shared activities between parents and children is potentially compromised by the pervasive use of digital screens in familial contexts. In this randomized trial in 326 parent-child dyads nested in 87 families, we investigated the effects of limiting screen use in parents and children on the amount of synchrony in physical behaviors and family cohesion. Families were randomly assigned to wither undergo an extensive screen media reduction intervention or to control. For seven days at baseline and follow-up, parents and children each wore two accelerometers, positioned on the thigh and trunk, 24 hours/day, enabling the second-by-second classification of their physical behaviors. Time-series sequence analysis of physical behavior revealed significant enhancements in dyadic synchrony for the screen reduction group. In shared leisure time, the between-group mean difference in change favored the screen reduction group, with a -0.18 point (95%CI -0.27 to -0.10) decrease in time-warp edit distance dissimilarity score and a 32.9 min/day (95%CI 16.0 to 49.9) of more direct matched activity. Additionally, parents in the screen reduction group reported enhanced family communication, more collaborative tasks, and engagement in new shared activities. Our findings highlight the potential benefits of reducing screen time for improving parent-child behavioral synchrony and familial cohesion.

show abstract

Section: Discussionmentioning

confidence: 99%

A randomized trial of the effects of limiting digital screen use on parent-child synchrony in physical behaviours and family cohesion

Grøntved,

Sørensen,

Schmidt-Persson

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…The FB2 and Axivity AX3 were initialised on the same computer to ensure that real-time clocks in the devices were synchronised. With a maximum of three consecutive recording days, it was expected that the clock drift is minimal (Brønd et al 2021). Unique HR data files were generated for each measurement session when a device was removed and reattached.…”

Section: Data Collectionmentioning

confidence: 99%

Facilitating ambulatory heart rate variability analysis using accelerometry-based classifications of body position and self-reported sleep

Rietz,

Schmidt-Persson,

Gillies Banke Rasmussen

et al. 2024

Physiol. Meas.

View full text Add to dashboard Cite

OBJECTIVEThis study aimed to examine differences in heart rate variability (HRV) across accelerometer-derived position, self-reported sleep, and different summary measures (sleep, 24h-HRV) in free-living settings using open-source methodology. APPROACHHRV is a biomarker of autonomic activity. As it is strongly affected by factors such as physical behaviour, stress, and sleep, ambulatory HRV analysis is challenging. Beat-to-beat heart rate (HR) and accelerometry data were collected using single-lead electrocardiography and trunk- and thigh-worn accelerometers among 160 adults participating in the SCREENS trial. HR files were processed and analysed in the RHRV R package. Start time and duration spent in physical behaviours were extracted, and time and frequency analysis for each episode was executed. Differences in HRV estimates across activities were compared using linear mixed models adjusted for age and sex with subject ID as random effect. Next, repeated-measures Bland-Altman analysis was used to compare 24h RMSSD estimates to HRV during self-reported sleep. Sensitivity analyses evaluated the accuracy of the methodology, and the approach of employing accelerometer-determined episodes to examine activity-independent HRV was described.MAIN RESULTSHRV was estimated for 31,289 episodes in 160 individuals (53.1% female) at a mean age of 41.4 years. Significant differences in HR and most markers of HRV were found across positions [Mean differences RMSSD: Sitting (Reference) – Standing (-2.63 ms) or Lying (4.53 ms)]. Moreover, ambulatory HRV differed significantly across sleep status, and poor agreement between 24h estimates compared to sleep HRV was detected. Sensitivity analyses confirmed that removing the first and last 30 seconds of accelerometry-determined HR episodes was an accurate strategy to account for orthostatic effects. SIGNIFICANCEAmbulatory HRV differed significantly across accelerometry-assigned positions and sleep. The proposed approach for free-living HRV analysis may be an effective strategy to remove confounding by physical activity when the aim is to monitor general autonomic stress. 

show abstract

Extent and Impact of Accelerometer Time Drift on Linkage With Global Positioning System Data for Physical Activity Research

Liu,

Clevenger,

Brønd

et al. 2024

Journal for the Measurement of Physical Behaviour

View full text Add to dashboard Cite

Background: Accelerometer time may drift, whereas global positioning system time does not (due to constant satellite communication), potentially impacting linkage of these data; the impact of this issue on outcome measures is unknown. Our study assessed if time drift is consistent between devices and/or data collection waves and the impacts on common outcomes in built environment physical activity research. Methods: First, 11 ActiGraph wGT3X-BT accelerometers were manually or automatically shaken every 6 hr for 10 days, and this experiment was repeated twice (two waves). Accelerometer time was compared with local atomic clock time to identify time drifts. Next, we assessed the time-drift impact on estimates of park moderate to vigorous physical activity in an outdoor experiment, comparing no adjustment (status quo) to device-specific and average adjustment to account for time drift. Finally, we used data from an ongoing health study in Detroit, Michigan, to evaluate the impact of time drift adjustment on free-living linked accelerometer and global positioning system data. Results: There was an average of 6.1 ± 5.1 s of lag in accelerometer time after 10 days, but time drifts varied among accelerometers. Mean absolute differences in park moderate to vigorous physical activity were 0.4–0.5 min/day over the entire outdoor experiment or 0.8–0.9 min/day on Day 7. In the free-living study, overall differences in park moderate to vigorous physical activity were 0.0–0.1 min/day, but the maximum difference was 1.9 min/day. Conclusions: Time drift had little impact on estimates, although research requiring high temporal resolution should assess the time drift of individual accelerometers before data collection to account for drift, particularly when linking to global positioning system data.

show abstract

Temporal Alignment of Dual Monitor Accelerometry Recordings

Cited by 4 publications

References 18 publications

A randomized trial of the effects of limiting digital screen use on parent-child synchrony in physical behaviours and family cohesion

A randomized trial of the effects of limiting digital screen use on parent-child synchrony in physical behaviours and family cohesion

Facilitating ambulatory heart rate variability analysis using accelerometry-based classifications of body position and self-reported sleep

Extent and Impact of Accelerometer Time Drift on Linkage With Global Positioning System Data for Physical Activity Research

Contact Info

Product

Resources

About