During the baseline visit, participants were fitted with an accelerometer (Actigraph − Model wGT3x + BT) on the non-dominant hand’s wrist using a non-removable strap. Participants were asked to wear the accelerometer until the follow-up visit (i.e., not taken off during sleeping hours). Raw accelerometer data were processed via an open-source R-package ‘GGIR’ (version 1.11-0) [33 (link)] to calculate physical activity and sleep variables on each day: total time (bouted and unbouted) spent engaging in moderate- to vigorous-intensity physical activity (MVPA), light intensity physical activity (LPA), sedentary behavior, and sleep hours. Euclidean Norm Minus One was used as the accelerometer metric to define LPA and MVPA, with the cut-offs being 25 and 100 milli-gravitational (mg) units, respectively [33 (link)]. Because we used wrist-worn accelerometers, it was impossible to determine posture and distinguish sedentary behavior from other types of inactivity. Hence, we used inactivity as a proxy for sedentary behavior. Only days with at least 16 h of wear time were included in the analysis.
Model wgt3x bt
Manufactured by ActiGraph
Sourced in United States
The ActiGraph model WGT3X-BT is a compact, lightweight, and wireless activity monitor designed for research and clinical applications. It features a triaxial accelerometer that measures physical activity and sleep-wake patterns. The device is capable of recording and storing data for extended periods, which can be later downloaded and analyzed using ActiGraph software.
Automatically generated - may contain errors
Lab products found in correlation
13 protocols using model wgt3x bt
1
Quantifying Physical Activity and Sleep
2
Accelerometry-based Physical Activity Assessment
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Participants wore a waist-worn ActiGraph accelerometer (Model wGT3X-BT; ActiGraph LLC, FL, USA) during waking hours which recorded data at 30Hz for seven days. Participants were instructed to remove the accelerometer while sleeping, showering/bathing and participating in water sports. Scores derived from ActiGraph accelerometers have been shown to provide reproducible and valid estimates of physical activity amongst adolescents [33 (link)]. Periods of ≥ 60 minutes of zero counts were classified as non-wear and were removed. Accelerometer data provision was a primary outcome of the feasibility study, however for the purposes of assessing the secondary outcome of the potential effect of the intervention on girls’ MVPA, participants who provided at least two weekdays of at least 500 minutes of data between 05:00 and 23.59 were included in this analysis. The Evenson cut-point (≥2296 counts per minute)[34 (link)] was used to estimate mean daily minutes of MVPA on weekdays and weekend day(s) as this threshold is the most accurate for adolescents [35 ]. Participants’ weekday and weekend sedentary time was estimated using a cut point of ≤100 counts per minute [34 (link)].
3
Objective and Self-Reported Physical Activity
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Physical activity was measured objectively and by means of a self-administrated questionnaire. Objective measurement of physical activity was provided with a tri-axial accelerometer (ActiGraph, model wGT3X-BT, LLC, Pensacola, Florida, United States) [15 (link)]. Absolute time spent engaged in moderate (3-5.9 metabolic equivalent of tasks [METS]) and vigorous (≥6METS) intensity activity was calculated (moderate to vigorous physical activity [MVPA]).
The International Physical Activity Questionnaire-Short Form (IPAQ-SF) was used to estimate the amount of self-reported physical activity in the past week [15 (link)]. On the basis of these data, participants were categorized into (1) inactive, (2) minimally active, or (3) health enhancing physical activity (HEPA) active [16 (link)].
The International Physical Activity Questionnaire-Short Form (IPAQ-SF) was used to estimate the amount of self-reported physical activity in the past week [15 (link)]. On the basis of these data, participants were categorized into (1) inactive, (2) minimally active, or (3) health enhancing physical activity (HEPA) active [16 (link)].
4
Objective Measurement of Physical Activity
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The ActiGraph accelerometer (Model wGT3X-BT; ActiGraph, LLC., Pensacola, Florida, USA) will be used to objectively measure the volume of physical activity of each subject. An ActiGraph accelerometer is designed to detect body movements. It has been validated for medical research in adults [25 (link), 26 (link)]. The accelerometer will be worn for two separate one-week periods (worn on a belt around the hip), except when bathing.
5
Accelerometry-Based Physical Activity Measurement
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
For 3 consecutive days, the children wore two triaxial accelerometers (ActiGraph model WGT3X-BT, ActiGraph, LLC) that collected raw accelerometry data at a sampling frequency of 30Hz (30 observations per second for each axis) from 9 AM to 2 PM, following a previously published protocol [27 (link)]. On the day of data collection, a trained research assistant placed one accelerometer on the nondominant wrist and the other one on the right hip of each child. For this study, raw accelerations were converted into 15-second epoch and thereafter collapsed to 60-second epochs. For this study, data were outputted as the vector magnitude (VM) counts, which is the square root of the sum of squares of each axis of acceleration data. Nonwear time was detected using the Choi wear time validation algorithm [28 (link)]. Participants with missing hip- or wrist-worn accelerometer epoch for more than 3 consecutive 5-hour days were excluded from the analysis. Accelerometer data processing was performed using ActiLife software (Version 6.13.3). Visual presentation of the accelerometer counts for one participant is shown in Figure 1 .
6
Accelerometer-Derived Physical Activity
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Sedentary time and physical activity were derived from sensor-based triaxial accelerometers, ActiGraph model wGT3X-BT (ActiGraph LCC, Pensacola, FL, USA). Participants were instructed to wear the accelerometers for 7 days in a belt around the right hip during waking hours. The only exception was during water-based physical activity. The software ActiLife v.6.13.3 was used to start the accelerometers and for transferring and processing collected data. The movements from three axes were recorded by accelerometer. Accelerometer data was extracted as 60-s epochs and expressed in counts per minute (cpm). Non-wear time was considered when the participants had no movements for 60 or more consecutive minutes. Wear time was estimated as 24 h minus non-wear time. Participants with at least 4 days wear time were included.
Total physical activity was expressed in daily mean cpm. Sedentary time was expressed when activity was less than 200 cpm, low intensity physical activity as 200–2689 cpm, moderate intensity physical activity as 2690–6166 cpm, and vigorous physical activity as 6167 cpm or more. A sedentary time of 20 min or more of below 200 cpm was defined as prolonged sedentary. Detailed information about assessment of physical activity is described by Ekblom-Bak et al. [17 (link)].
Total physical activity was expressed in daily mean cpm. Sedentary time was expressed when activity was less than 200 cpm, low intensity physical activity as 200–2689 cpm, moderate intensity physical activity as 2690–6166 cpm, and vigorous physical activity as 6167 cpm or more. A sedentary time of 20 min or more of below 200 cpm was defined as prolonged sedentary. Detailed information about assessment of physical activity is described by Ekblom-Bak et al. [17 (link)].
7
Objective Measurement of Preschoolers' Physical Activity
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Preschoolers’ PA was objectively measured using waist-worn accelerometry (Actigraph, model wGT3X-BT, USA), which has been established as a valid instrument to measure PA in this target population [28 (link)]. Kindergarten teachers and parents were given oral and written guidelines for the proper use of accelerometers, including how and when to wear them. Children were asked to wear the accelerometer on the right hip for seven consecutive days, except for water-based activities and sleeping. The accelerometry initialization and data were analyzed by the ActiLife software (ActiGraph Corps., Pensacola, FL, USA; Version 6.13.3). We adopted the cut-points of PA intensity from Butte (2014) in this study. The specific measurement parameters of the accelerometers are shown in Table 1 . The total PA was calculated as LPA + MPA + VPA, and the MVPA was calculated as MPA + VPA.
8
Event-Contingent Dietary Monitoring via EMA
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
An event-contingent Ecological Momentary Assessment (EMA) was used for dietary recording via a smartphone application ("the app") developed for this study (Jana Care Inc., Boston, MA, USA). Participants were guided to log all foods and beverages consumed during day 4 to day 10. A text reminder was sent on day 3. Participants logged meal types (i.e., breakfast, lunch, dinner, or snack), food and beverage names, and portion sizes corresponding to what they had eaten. 32, 33 The food composition database from Health Promotion Board Singapore and a comprehensive database of US foods was used to derive participants' energy and nutrient intake on each day. 32, 33 Mean daily energy and carbohydrate intakes were calculated for each participant. Days with reported energy intakes below 500 kcal or greater than 5000 kcal were excluded. Carbohydrate was expressed as a percentage of total energy intake. Each participant wore an accelerometer (Actigraph -Model wGT3x + BT) on the non-dominant wrist between the two laboratory visits. An open-source R-package 'GGIR' (version 1.11-0) 34 was used to derive daily time spent in moderate-to-vigorous physical activity (MVPA). Days with less than 16 hours of wear time were excluded in the analysis. Full details of the analyses for dietary and physical activity assessments are reported elsewhere. 35
9
Physical Activity Assessment Using Actigraph
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The assessment of the level of PADL was performed using the validaded and largely used physical activity monitor Actigraph model wGT3X-BT. 22, (link)23 (link) The monitor was worn on the waist (by means of an elastic band) for the entire awake time during 7 consecutive days. Based on the average of valid days (i.e. 4 days with 8 hours of recording per day), 24 (link) the main variables were the number of steps/ day and the time spent/day in sedentary time, light activities, and moderate-to-vigorous activities, all in minutes and in percentage of the assessment time. 22, (link)23 (link) Individuals who performed 7000 steps/day were classified as physically active and those who performed <7000 steps/day as physically inactive. 25, (link)26 (link)
10
Objectively Measuring Physical Activity Levels
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
We are objectively measuring the patients’ physical activity levels over 7 days at the run-in and the 3- and 6-month follow up visits using a validated tri-axial accelerometer (ActiGraph™ wGT3X-BT model; http://www.actigraphcorp.com ) that measures detailed parameters of physical activity [23 (link), 35 (link)–38 (link)]. The ActiGraph™ is lightweight (19 g), worn at the waist, interfaces with the internet via Bluetooth, and date- and time-stamped activity levels are being uploaded at routine dialysis visits. Activity during sleep cannot be accurately determined with use of a waist worn physical activity monitor, therefore we ask patients to take off the physical activity monitor during sleep. Additionally, the physical activity monitor is being removed during bathing.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!