scholarly journals Medical-Grade Physical Activity Monitoring for Measuring Step Count and Moderate-to-Vigorous Physical Activity: Validity and Reliability Study (Preprint)

2018 ◽  
Author(s):  
Myles William O'Brien ◽  
William Robert Wojcik ◽  
Jonathon Richard Fowles
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Intraclass Correlation ◽  
Step Count ◽  
Validity And Reliability ◽  
Step Rate ◽  
Physical Activity Monitoring ◽  
Adult Participants ◽  
Step Counting ◽  
Medical Grade

BACKGROUND The use of physical activity (PA) monitors is commonly associated with an increase in habitual PA level in healthy and clinical populations. The PiezoRx is a medical-grade PA monitor that uses adjustable step rate thresholds to estimate moderate-to-vigorous physical activity (MVPA) and is a valid indicator of free-living PA in adults. Laboratory validation of step count derived MVPA in adults is needed to justify the use of these monitors in clinical practice to track individuals’ progress toward meeting PA guidelines that are based on MVPA, not steps. OBJECTIVE The objective of our study was to assess the validity and interinstrument reliability of the PiezoRx to derive step count and MVPA in a laboratory setting compared with criterion measures and other frequently used PA monitors in a diverse sample of adults. METHODS The adult participants (n=43; 39.4 years, SD 15.2) wore an Omron HJ-320 pedometer, an ActiGraph GT3X accelerometer, and four PiezoRx monitors during a progressive treadmill protocol conducted for 6 minutes at speeds of 2.4, 3.2, 4.0, 5.6, 6.4, and 7.2 km/hour, respectively. The four PiezoRx monitors were set at different MVPA step rate thresholds (MPA in steps/minute/VPA in steps/minute) 100/120, 110/130, height adjusted, and height+fitness adjusted. RESULTS The PiezoRx was more correlated (intraclass correlation, ICC=.97; P<.001) to manual step counting than the ActiGraph (ICC=.72; P<.001) and Omron (ICC=.62; P<.001). The PiezoRxs absolute percent error in measuring steps was 2.2% (ActiGraph=15.9%; Omron=15.0%). Compared with indirect calorimetry, the height-adjusted PiezoRx and ActiGraph were accurate measures of the time spent in MVPA (both ICC=.76; P<.001). CONCLUSIONS The PiezoRx PA monitor appears to be a valid and reliable measure of step count and MVPA in this diverse sample of adults. The device’s ability to measure MVPA may be improved when anthropometric differences are considered, performing at par or better than a research grade accelerometer.

Validity and Interinstrument Reliability of a Medical Grade Physical Activity Monitor in Older Adults

2021 ◽  
Vol 4 (1) ◽  
pp. 31-38
Author(s):  
Myles W. O’Brien ◽  
William R. Wojcik ◽  
Jonathon R. Fowles
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Correlation Coefficient ◽  
Intraclass Correlation Coefficient ◽  
Vigorous Physical Activity ◽  
Intraclass Correlation ◽  
Activity Monitor ◽  
Moderate Physical Activity ◽  
Step Rate ◽  
Medical Grade

Wearable physical activity monitors are associated with an increase in user’s habitual physical activity levels. Most of the older adult population do not meet the national moderate- to vigorous-intensity physical activity (MVPA) recommendations and may benefit from being prescribed a physical activity monitor. The PiezoRx is a class one medical grade device that uses step rate thresholds to measure MVPA. The validity and reliability of the PiezoRx in measuring MVPA has yet to be determined in older persons. We assessed the validity and interinstrument reliability of the PiezoRx to measure steps and MVPA in older adults. Participants (n = 19; 68.8 ± 2.3 years) wore an Omron HJ-320 pedometer, ActiGraph GT3X accelerometer, and four PiezoRx monitors during a five-stage treadmill walking protocol. The PiezoRx devices were set at moderate physical activity and vigorous physical activity step rate thresholds (steps per minute) of 100/120, 110/130, adjusted for height and adjusted for height + fitness. The PiezoRx exhibited a stronger correlation (intraclass correlation coefficient = .82) with manually counted steps than the ActiGraph (intraclass correlation coefficient = .53) and Omron (intraclass correlation coefficient = .54) and had a low absolute percentage error (3 ± 6%). The PiezoRx with moderate physical activity/vigorous physical activity step thresholds adjusted to 110/130 was strongly correlated to indirect calorimetry (0.84, p < .001) and best distinguished each walking stage as MVPA or not (sensitivity: 88%; specificity: 95%). The PiezoRx monitor is a valid and reliable measure of step count and MVPA among older adults. The device’s ability to measure MVPA in absolute terms was improved when step rate thresholds for moderate physical activity/vigorous physical activity were increased to 110/130 steps per minute in this population.

Validation and Reliability of the New Lifestyles NL-1000 Accelerometer in New Zealand Preschoolers

2012 ◽  
Vol 9 (2) ◽  
pp. 295-299 ◽  
Author(s):  
Leanne Liggett ◽  
Andrew Gray ◽  
Winsome Parnell ◽  
Rob McGee ◽  
Yvette McKenzie
Keyword(s):  
Physical Activity ◽  
Rating Scale ◽  
Vigorous Physical Activity ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Activity Level ◽  
Activity Levels ◽  
Validity And Reliability ◽  
Video Footage ◽  
Activity Rating

Background:Objective measures, such as accelerometers, are increasingly being used to measure physical activity (PA) levels in children, and the use of validated and reliable instruments is desirable when measuring the effectiveness of programs. The purpose of this study was to determine the validity and reliability of the New Lifestyles NL-1000 accelerometer among preschoolers using a modified version of the Children’s Activity Rating Scale (CARS).Methods:Fourteen preschoolers wore the NL-1000 at their waist while the device measured activity levels [in seconds of moderate-to-vigorous physical activity (MVPA)]. They were also videoed for approximately 12 minutes while participating in normal activities at an early childhood center. At approximately 2-minute intervals, activity level readings derived from the NL-1000 were recorded. The video footage was analyzed using a modified CARS technique and the CARS scores compared with data obtained from the accelerometer.Results:Within subject reliability was measured using intraclass correlation coefficients (0.58 for CARS and 0.59 for NL-1000). Furthermore, 95% of the variation in CARS could be explained by variation in the accelerometer counts, with 2.4% of the variation being participant-specific.Conclusion:The NL-1000 is a sufficiently reliable and valid tool for assessing MVPA in preschoolers.

scholarly journals Validity and Reliability of Fitbit Flex for Step Count, Moderate to Vigorous Physical Activity and Activity Energy Expenditure

PLoS ONE ◽  
2016 ◽  
Vol 11 (9) ◽  
pp. e0161224 ◽  
Author(s):  
Ashleigh Sushames ◽  
Andrew Edwards ◽  
Fintan Thompson ◽  
Robyn McDermott ◽  
Klaus Gebel
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Vigorous Physical Activity ◽  
Step Count ◽  
Validity And Reliability ◽  
Activity Energy

Physical Activity Health Literacy in Iranian Older Adults: Development and Psychometric Testing

2021 ◽  
pp. 1-9
Author(s):  
Moeini Babak ◽  
Barati Majid ◽  
Heidarimoghadam Rashid ◽  
Tapak Leili ◽  
Parsamajd Shahryar
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Factor Analysis ◽  
Health Literacy ◽  
Phase 1 ◽  
Intraclass Correlation ◽  
Psychometric Testing ◽  
Validity And Reliability ◽  
Confirmatory Factor ◽  
Two Phases

Inadequate health literacy decreases physical activity. This study aimed to develop and examine psychometrics of physical activity health literacy in Iranian older adults. This methodological work was conducted in two phases. Phase 1 consisted of extensive studies review and qualitative study to extract and design the items. The psychometrics were measured in Phase 2 included content, faceconstruct validities, reliability, and stability. The collected data were analyzed in SPSS (version 25.0) and AMOS (version 24.0). The results of the exploratory factor analysis showed four factors— information evaluation, reading skill, perception, and decision making—and used information that explained 70.08% of the variance. The model’s fitness was supported by confirmatory factor analysis. Internal consistency based on Cronbach’s alpha was .89 with composite reliability >0.85. Stability was confirmed through the test–retest method and intraclass correlation coefficient (.89–1). Psychometrics of physical activity health literacy in Iranian older adults supported validity and reliability of the tool.

scholarly journals Step-count guidelines referenced on 60-minutes of moderate/vigorous physical activity

2015 ◽  
Vol 21 (1) ◽  
pp. 92-99
Author(s):  
Fabio Eduardo Fontana ◽  
Michael Pereira da Silva ◽  
Ripley Marston ◽  
Kevin Finn ◽  
Jere Gallagher
Keyword(s):  
Physical Activity ◽  
Diagnostic Accuracy ◽  
Vigorous Physical Activity ◽  
Roc Curves ◽  
Sixth Grade ◽  
Step Count ◽  
Step Counts ◽  
Sixth Grade Students ◽  
Good Diagnostic Accuracy ◽  
Full Day

The purpose of this study was to establish step-count guidelines for sixth-grade students and assess the ability of step-counts to discriminate between students achieving and not achieving 60-minutes of moderate to vigorous physical activity daily. 201 sixth-grade students completed the study. They wore a pedometer and an accelerometer at the waist level for one full day. ROC curves were used to establish step-count guidelines and determine the diagnostic accuracy of step-counts. Sixth grade students need 12,118 steps/day to reach adequate daily levels of physical activity. The AUC indicated good diagnostic accuracy of step-counts. Suggested step-count guidelines can be a useful tool for identifying children who need to increase their daily levels of physical activity. The step-count cutoff proposed in this study is adequate for discriminating between sixth grade students reaching and not reaching recommended levels of physical activity.

scholarly journals Development of Step-Count Cut Points for School-Day Vigorous Physical Activity

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Ryan D. Burns ◽  
Timothy A. Brusseau ◽  
You Fu ◽  
Peng Zhang
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Area Under The Curve ◽  
Roc Curves ◽  
Step Count ◽  
Convenience Sample ◽  
Cut Points ◽  
Step Counts ◽  
School Day ◽  
The Usa

Background. No study has established step-count cut points for varying amounts of accelerometer-assessed vigorous physical activity (VPA) accrued during the school day in children. The purpose of this study was to establish step-count cut points for discriminating children meeting VPA in 5 minutes, 10 minutes, 15 minutes, and 20 minutes per 7-hour school day. Methods. Participants were a convenience sample of 1,053 children (mean age = 8.4 (1.8) years) recruited from 5 schools from the Mountain West region of the USA. Data within students were observed across multiple semesters totaling 2,119 separate observations. Step counts and time in VPA were assessed using ActiGraph wGT3X-BT triaxial accelerometers that were worn during the entirety of a 7-hour school day for one school week. Average censored step counts and minutes in VPA were calculated across 3 to 5 days. Receiver operating characteristic (ROC) curves were employed to derive step counts via calculation of the maximum Youden J statistic. Results. Area-under-the-curve (AUC) scores ranged from AUC = 0.81 (95% CI: 0.78–0.83; p<0.001) for meeting at least 5 minutes of VPA to AUC = 0.94 (95% CI: 0.88–1.00, p<0.001) for meeting at least 20 minutes of VPA. Approximately 3,460 steps best discriminated children meeting at least 5 minutes of VPA (sensitivity = 74.0%, specificity = 74.0%, and accuracy = 74.1%) and approximately 5,628 steps best discriminated children meeting at least 20 minutes per day of VPA (sensitivity = 85.7%, specificity = 95.1%, and accuracy = 95.1%). Conclusion. Step counts can discriminate with reasonable accuracy children that meet at least 5 minutes of school-day VPA and with strong accuracy children that meet 20 minutes of school-day VPA.

scholarly journals Validity and Reliability of 2-Dimensional Video-Based Assessment to Analyze Foot Strike Pattern and Step Rate During Running: A Systematic Review

2019 ◽  
Vol 11 (5) ◽  
pp. 409-415 ◽  
Author(s):  
Fábio Carlos Lucas de Oliveira ◽  
Anny Fredette ◽  
Sherezada Ochoa Echeverría ◽  
Charles Sebiyo Batcho ◽  
Jean-Sébastien Roy
Keyword(s):  
Systematic Review ◽  
Concurrent Validity ◽  
Data Extraction ◽  
Intraclass Correlation ◽  
Reliability And Validity ◽  
Validity And Reliability ◽  
Level Of Evidence ◽  
Step Rate ◽  
Cosmin Checklist ◽  
Foot Strike

Context: Two-dimensional (2D) video-based analysis is often used by clinicians to examine the foot strike pattern (FSP) and step rate in runners. Reliability and validity of 2D video-based analysis have been questioned. Objective: To synthesize the psychometric properties of 2D video-based analysis for assessing runners’ FSP and step rate while running. Data Sources: Medline/PubMed, Science Direct, Embase, EBSCOHost/CINAHL, and Scielo were searched from their inception to August 2018. Study Selection: Studies were included if (1) they were published in English, French, Portuguese or Spanish; (2) they reported at least 1 psychometric property (validity and/or reliability) of 2D video-based analysis to assess running kinematics; and (3) they assessed FSP or step rate during running. Study Design: Systematic review. Level of Evidence: Level 2. Data Extraction: Studies were screened for methodological (MacDermid checklist) and psychometric quality (COSMIN checklist) by 2 independent raters. Results: Eight studies, with a total of 702 participants, were included. Seven studies evaluated the reliability of 2D video to assess FSP and found very good to excellent reliability (0.41 ≤ κ ≤ 1.00). Two studies reported excellent reliability for the calculation of step rate (0.75 ≤ intraclass correlation coefficient [ICC] ≤ 1.00). One study demonstrated excellent concurrent validity between 2D and 3D (gold standard) motion capture systems to determine FSP (Gwet agreement coefficient [AC] > 0.90; ICC > 0.90), and another study found excellent concurrent validity between 2D video and another device to calculate step rate (0.84 ≤ ICC ≤ 0.95). Conclusion: Strong evidence suggests that 2D video-based analysis is a reliable method for assessing FSP and quantifying step rate, regardless of the experience of the assessor. Limited evidence exists on the validity of 2D video-based analysis in determining FSP and calculating step rate during running.

Sign in / Sign up

Export Citation Format

Share Document