Additional file 1 of The Wearable Activity Tracker Checklist for Healthcare (WATCH): a 12-point guide for the implementation of wearable activity trackers in healthcare

Additional file 1: Fillable planning checklis

Additional file 1 of The use of accelerometer-based wearable activity monitors in clinical settings: current practice, barriers, enablers, and future opportunities

Additional file 1

Additional file 2 of The use of accelerometer-based wearable activity monitors in clinical settings: current practice, barriers, enablers, and future opportunities

Additional file 2

Additional file 1: of Life on holidays: differences in activity composition between school and holiday periods in Australian children

Table S1. Median (25%ile-75%ile) time use during in-term and holiday periods. All values are in min/day except TDEE (MET.min). (DOCX 19 kb

Table of quotes.

<p>Table of quotes.</p

Participant Description.

<p>Participant Description.</p

Additional file 1 of The feasibility of collecting the physiotherapy outcomes airway clearance, physical activity and fitness for the Australian Cystic Fibrosis Data Registry

Additional file 1. Summary of field notes taken from the physiotherapist during data collection. The physiotherapist took notes related to patient recruitment, staff availability, time available, willingness to participate, completing surveys, completing fitness test, and time taken to enter patient data. ACT: airway clearance techniques; PA: physical activity

The validity of consumer-level, activity monitors in healthy adults worn in free-living conditions: a cross-sectional study

BACKGROUND: Technological advances have seen a burgeoning industry for accelerometer-based wearable activity monitors targeted at the consumer market. The purpose of this study was to determine the convergent validity of a selection of consumer-level accelerometer-based activity monitors. METHODS: 21 healthy adults wore seven consumer-level activity monitors (Fitbit One, Fitbit Zip, Jawbone UP, Misfit Shine, Nike Fuelband, Striiv Smart Pedometer and Withings Pulse) and two research-grade accelerometers/multi-sensor devices (BodyMedia SenseWear, and ActiGraph GT3X+) for 48-hours. Participants went about their daily life in free-living conditions during data collection. The validity of the consumer-level activity monitors relative to the research devices for step count, moderate to vigorous physical activity (MVPA), sleep and total daily energy expenditure (TDEE) was quantified using Bland-Altman analysis, median absolute difference and Pearson's correlation. RESULTS: All consumer-level activity monitors correlated strongly (r > 0.8) with research-grade devices for step count and sleep time, but only moderately-to-strongly for TDEE (r = 0.74-0.81) and MVPA (r = 0.52-0.91). Median absolute differences were generally modest for sleep and steps (<10% of research device mean values for the majority of devices) moderate for TDEE (<30% of research device mean values), and large for MVPA (26-298%). Across the constructs examined, the Fitbit One, Fitbit Zip and Withings Pulse performed most strongly. CONCLUSIONS: In free-living conditions, the consumer-level activity monitors showed strong validity for the measurement of steps and sleep duration, and moderate valid for measurement of TDEE and MVPA. Validity for each construct ranged widely between devices, with the Fitbit One, Fitbit Zip and Withings Pulse being the strongest performers

Additional file 1 of Should the physiotherapy outcomes airway clearance, physical activity and fitness be recorded on the Australian Cystic Fibrosis Data Registry? A consensus approach

Additional file 1: The Delphi surveys

Shows usage data recorded by the Mums Step It Up app.

<p>Data are presented as mean (SD).</p><p>Shows usage data recorded by the Mums Step It Up app.</p