Criterion validity of a newly developed Apple Watch app ('MVPA') compared to the native Apple Watch 'activity' app for measuring criterion moderate intensity physical activity.

IF 2.9 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
DIGITAL HEALTH Pub Date : 2025-03-17 eCollection Date: 2025-01-01 DOI:10.1177/20552076251326225
Ashley Warner, Natalie Vanicek, Amanda Benson, Tony Myers, Grant Abt
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引用次数: 0

Abstract

Introduction: Many people fail to meet physical activity guidelines. One possible solution is wearable technology. Yet it is unclear if popular devices such as the Apple Watch can accurately measure intensity, which is a cornerstone of physical activity guidelines. We developed a bespoke Apple Watch app based on the use of relative intensity (%HRR), with the aim to determine if the bespoke app measures 'moderate' intensity more accurately compared to the native Apple Watch Activity app, using % oxygen consumption reserve (%VO2R) as the criterion.

Methods: Seventy-four participants (18-65 years) attended the laboratory twice. During Visit 1, they completed medical screening, and measurements of resting heart rate, maximal oxygen consumption, and maximal heart rate on a motorised treadmill. During Visit 2, participants completed 5-minute treadmill bouts starting at 3.5 km.h-1, increasing by 0.5 km.h-1 until the bespoke app recorded 3 minutes at ≥40%HRR, and the native app recorded 5 minutes of 'exercise'. Oxygen consumption and heart rate were recorded. Bayesian posterior distributions were used to compare the two apps.

Results: At the walking speed that the native app recorded exercise, the mean (95% HDI) %VO2R was 33 (31-36)%, which is below moderate relative intensity (40%HRR). This is compared to a mean (95% HDI) of 43 (40-44)% for our bespoke app.

Conclusion: The bespoke app measured relative moderate intensity more accurately compared to the native app when compared to the %VO2R criterion. Exercise guidelines and wearable devices should incorporate relative measures of physical activity to better individualise monitoring and prescription.

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来源期刊
DIGITAL HEALTH
DIGITAL HEALTH Multiple-
CiteScore
2.90
自引率
7.70%
发文量
302
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