Background: Tummy time is recommended by the World Health Organization as part of its global movement guidelines for infant physical activity. To enable objective measurement of tummy time, accelerometer wear and nonwear time requires validation. The purpose of this study was to validate GENEActiv wear and nonwear time for use in infants.
Methods: The analysis was conducted on accelerometer data from 32 healthy infants (4-25 wk) wearing a GENEActiv (right hip) while completing a positioning protocol (3 min each position). Direct observation (video) was compared with the accelerometer data. The accelerometer data were analyzed by receiver operating characteristic curves to identify optimal cut points for second-by-second wear and nonwear time. Cut points (accelerometer data) were tested against direct observation to determine performance. Statistical analysis was conducted using leave-one-out validation and Bland-Altman plots.
Results: Mean temperature (0.941) and z-axis (0.889) had the greatest area under the receiver operating characteristic curve. Cut points were 25.6°C (temperature) and -0.812g (z-axis) and had high sensitivity (0.84, 95% confidence interval, 0.838-0.842) and specificity (0.948, 95% confidence interval, 0.944-0.948).
Conclusions: Analyzing GENEActiv data using temperature (>25.6°C) and z-axis (greater than -0.812g) cut points can be used to determine wear time among infants for the purpose of measuring tummy time.
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http://dx.doi.org/10.1123/jpah.2019-0486 | DOI Listing |
Sensors (Basel)
December 2024
Assessment of Movement Behaviours (AMBer), Leicester Lifestyle and Health Research Group, Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK.
Background: Following shoulder surgery, controlled and protected mobilisation for an appropriate duration is crucial for appropriate recovery. However, methods for objective assessment of sling wear and use in everyday living are currently lacking. In this pilot study, we aim to determine if a sling-embedded triaxial accelerometer and/or wrist-worn sensor can be used to quantify arm posture during sling wear and adherence to sling wear.
View Article and Find Full Text PDFSleep Health
January 2025
Department of Human and Development and Family Studies, Pennsylvania State University, University Park, Pennsylvania, USA.
Goal And Aims: One challenge using wearable sensors is nonwear time. Without a nonwear (e.g.
View Article and Find Full Text PDFBurns
February 2025
Alliance of Dutch Burn Centers, Burn Center Martini Hospital Groningen, Groningen, the Netherlands; Hanze University of Applied Sciences Groningen, Research Group Healthy Ageing, Allied Healthcare and Nursing, Groningen, the Netherlands; University of Groningen, University Medical Center Groningen, Department of Human Movement Sciences, Groningen, the Netherlands. Electronic address:
PLoS One
October 2024
Department of Health and Sport Sciences, Graduate School of Medicine, Osaka University, Toyonaka, Osaka, Japan.
Wearable devices are increasingly utilized to monitor physical activity and sedentary behaviors. Accurately determining wear/non-wear time is complicated by zero counts, where the acceleration-based indexes do not estimate activity intensity, often leading to misclassifications. We propose a novel synthetic classification algorithm that leverages both the probability and continuity of zero counts, aiming to enhance the accuracy of activity estimation.
View Article and Find Full Text PDFEur Rev Aging Phys Act
October 2024
Epidemiology of Ageing and Neurodegenerative Diseases, Université Paris Cité, INSERM, U1153, CRESS, 10 Avenue de Verdun, Paris, 75010, France.
Background: A more fragmented, less stable rest-activity rhythm (RAR) is emerging as a risk factor for health. Accelerometer devices are increasingly used to measure RAR fragmentation using metrics such as inter-daily stability (IS), intradaily variability (IV), transition probabilities (TP), self-similarity parameter (α), and activity balance index (ABI). These metrics were proposed in the context of long period of wear but, in real life, non-wear might introduce measurement bias.
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