Walk this way: validity evidence of iphone health application step count in laboratory and free-living conditions. Issue 15 (3rd August 2018)

• Record Type: Journal Article
• Authors: Duncan, Markus J.; Wunderlich, Kelly; Zhao, Yingying; Faulkner, Guy
• Is Part Of: Journal of sports sciences. Volume 36:Issue 15(2018)
• Page Start: 1695
• Page End: 1704
• Publication Date: 2018-08-03
• Subjects: Physical activity -- smartphone -- walking -- accelerometer -- measurement; Sports -- Periodicals; Sports -- Physiological aspects -- Periodicals; Sports -- Psychological aspects -- Periodicals; 612.044
• DOI: 10.1080/02640414.2017.1409855
• Languages: English
• ISSNs: 0264-0414

Abstract

ABSTRACT: Several attempts have been made to demonstrate the accuracy of the iPhone pedometer function in laboratory test conditions. However, no studies have attempted to evaluate evidence of convergent validity of the iPhone step counts as a surveillance tool in the field. This study takes a pragmatic approach to evaluating Health application derived iPhone step counts by measuring accuracy of a standardized criterion iPhone SE and a heterogeneous sample of participant owned iPhones (6 or newer) in a laboratory condition, as well as comparing personal iPhones to accelerometer derived steps in a free-living test. During lab tests, criterion and personal iPhones differed from manually counted steps by a mean bias of less than ±5% when walking at 5km/h, 7.5km/h and 10km/h on a treadmill, which is generally considered acceptable for pedometers. In the free-living condition steps differed by a mean bias of 21.5% or 1340 steps/day when averaged across observation days. Researchers should be cautioned in considering the use of iPhone models as a research grade pedometer for physical activity surveillance or evaluation, likely due to the iPhone not being continually carried by participants; if compliance can be maximized then the iPhone might be suitable.