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Performance Evaluation of Device-Based Algorithms to Estimate Step Counts in Free-Living Adults Compared with Direct Observation.

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Title: Performance Evaluation of Device-Based Algorithms to Estimate Step Counts in Free-Living Adults Compared with Direct Observation.
Authors: Hyde ET; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD., Hayes HA; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD., Matthews CE; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD., Shreves AH; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.; Nuffield Department of Population Health, University of Oxford, UNITED KINGDOM.; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UNITED KINGDOM., Ylarregui K; Department of Kinesiology and Public Health, California Polytechnic State University, San Luis Obispo, CA., Brennan S; Department of Kinesiology and Public Health, California Polytechnic State University, San Luis Obispo, CA., Keadle SK; Department of Kinesiology and Public Health, California Polytechnic State University, San Luis Obispo, CA.
Source: Medicine and science in sports and exercise [Med Sci Sports Exerc] 2026 Aug 01; Vol. 58 (8), pp. 1805-1816. Date of Electronic Publication: 2026 Mar 24.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 8005433 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1530-0315 (Electronic) Linking ISSN: 01959131 NLM ISO Abbreviation: Med Sci Sports Exerc Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Performance Evaluation of Device-Based Algorithms to Estimate Step Counts in Free-Living Adults Compared with Direct Observation.
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  Data: <searchLink fieldCode="AU" term="%22Hyde+ET%22">Hyde ET</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.<br /><searchLink fieldCode="AU" term="%22Hayes+HA%22">Hayes HA</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.<br /><searchLink fieldCode="AU" term="%22Matthews+CE%22">Matthews CE</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.<br /><searchLink fieldCode="AU" term="%22Shreves+AH%22">Shreves AH</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.; Nuffield Department of Population Health, University of Oxford, UNITED KINGDOM.; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UNITED KINGDOM.<br /><searchLink fieldCode="AU" term="%22Ylarregui+K%22">Ylarregui K</searchLink>; Department of Kinesiology and Public Health, California Polytechnic State University, San Luis Obispo, CA.<br /><searchLink fieldCode="AU" term="%22Brennan+S%22">Brennan S</searchLink>; Department of Kinesiology and Public Health, California Polytechnic State University, San Luis Obispo, CA.<br /><searchLink fieldCode="AU" term="%22Keadle+SK%22">Keadle SK</searchLink>; Department of Kinesiology and Public Health, California Polytechnic State University, San Luis Obispo, CA.
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  Data: <searchLink fieldCode="JN" term="%228005433%22">Medicine and science in sports and exercise</searchLink> [Med Sci Sports Exerc] 2026 Aug 01; Vol. 58 (8), pp. 1805-1816. <i>Date of Electronic Publication: </i>2026 Mar 24.
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        Value: 10.1249/MSS.0000000000003989
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        Text: English
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              Text: 2026 Aug 01
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