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Agreement Between Consumer and Research-Grade Physical Activity Monitors in a Public Health Intervention for Adolescent Latinas

Bibliographic Data

ID15469799
AuthorsJacob Carson (0000-0003-0803-2341, Human Longevity (United States), corresponding author), David Wing (0000-0003-1883-9448, University of California San Diego), Job Godino (0000-0002-4852-6277, University of California San Diego), Michael Higgins (0000-0002-5903-952X, University of California San Diego), Britta Larsen (0000-0002-4490-7435, Human Longevity (United States))
Year2025
Volume22
Issue11
Pages1663-1663
Publication date2025-11-02
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph22111663
PMID41302609
OpenAlexW4415811795
LanguageEN
References cited29

Consumer wearables are increasingly used in physical activity (PA) interventions, but their validity as a measurement tool among low PA groups, like adolescent girls, is unclear. We assessed the minute- and day-level agreement between PA measures among adolescent Latinas from an intervention. Participants wore a Fitbit Inspire HR and an ActiGraph GT3X+ for overlapping epochs. ActiGraph data were classified using two different cut points and aligned with Fitbit data to produce 1,149,169 matched minutes of wear across 137 adolescent girls (M = 15.73 yrs). Confusion matrices were calculated for pairwise comparisons to determine minute-level Moderate-Vigorous PA (MVPA) classification. Data were aggregated to 1007 days for Bland-Altman analyses. ActiGraph cut points showed moderate agreement for minute-level MVPA classification (Balanced Accuracy = 0.71, AC1 = 0.98), while Fitbit showed fair agreement (Balanced Accuracy = 0.50, AC1 = 0.95-0.97) largely driven by non-MVPA observations. The Freedson cut point overestimated daily MVPA relative to Treuth by 14.7 min/day and Fitbit by 14.2 min/day in Bland-Altman space. The daily Treuth and Fitbit comparison did not significantly differ. Findings suggest systematic differences between cut points that warrant further consideration. Fitbit showed moderate agreement with ActiGraph, but heteroscedasticity and the epoch of aggregation significantly impacted agreement. Understanding device differences has implications for promoting/researching public health among adolescents

Actigraphy · Activity monitor · Confusion · Heteroscedasticity · Limits of agreement · Physical activity · Public health · Wearable computer · Mobile Health and mHealth Applications · Obesity, Physical Activity, Diet · Physical Activity and Health

  • Calibration of the Computer Science and Applications, Inc. accelerometer

    Patty S Freedson, Edward L Melanson et al.•Medicine & Science in Sports &…•1998

  • Validation of Accelerometer Wear and Nonwear Time Classification Algorithm

    Leena Choi, ZHOUWEN LIU et al.•Medicine & Science in Sports &…•2011

  • Self-Efficacy and the Stages of Exercise Behavior Change

    Bess H Marcus, Vanessa C Selby et al.•Research Quarterly for Exercise…•1992

  • Computing inter‐rater reliability and its variance in the presence of high agreement

    Open Access•Kilem L Gwet•British Journal of Mathematical…•2008

  • Evidence Based Physical Activity for School-age Youth

    Open Access•William B Strong, Robert M Malina et al.•The Journal of Pediatrics•2005

  • Using objective physical activity measures with youth

    Stewart G Trost, Russell R Pate et al.•Medicine & Science in Sports &…•2000

  • Comparison of Accelerometer Cut Points for Predicting Activity Intensity in Youth

    Stewart G Trost, Paul D Loprinzi et al.•Medicine & Science in Sports &…•2011

  • Comparison of a Wearable Tracker with Actigraph for Classifying Physical Activity Intensity and Heart Rate in Children

    Open Access•Seoungki Kang, Youngdeok Kim et al.•International Journal of…•2019

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