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Comparative Analysis of ActiGraph Step Counting Methods in Adults: A Systematic Literature Review and Meta-Analysis.
Toth, Lindsay; Paluch, Amanda E; Bassett, David R; Rees-Punia, Erika; Eberl, Eric M; Park, Susan; Evenson, Kelly R.
Affiliation
  • Toth L; Department of Clinical and Applied Movement Sciences, University of North Florida, Jacksonville, FL.
  • Paluch AE; Department of Kinesiology and Institute for Applied Life Sciences, University of Massachusetts Amherst, Amherst, MA.
  • Bassett DR; Department of Kinesiology, Recreation, and Sport Studies (Emeritus), The University of Tennessee, Knoxville, TN.
  • Rees-Punia E; Department of Population Science, American Cancer Society, Atlanta, GA.
  • Eberl EM; Center for Innovation in Digital HealthCare, Health Data Initiative, Massachusetts General Hospital, Boston, MA.
  • Park S; Department of Biostatistics & Epidemiology, University of Massachusetts, Amherst, MA.
  • Evenson KR; Gillings School of Global Public Health, Department of Epidemiology, University of NC-Chapel Hill, Chapel Hill, NC.
Med Sci Sports Exerc ; 56(1): 53-62, 2024 Jan 01.
Article de En | MEDLINE | ID: mdl-37703308
PURPOSE: The primary aim of this study was to compare steps per day across ActiGraph models, wear locations, and filtering methods. A secondary aim was to compare ActiGraph steps per day to those estimated by the ankle-worn StepWatch. METHODS: We conducted a systematic literature review to identify studies of adults published before May 12, 2022, that compared free-living steps per day of ActiGraph step counting methods and studies that compared ActiGraph to StepWatch. Random-effects meta-analysis compared ActiGraph models, wear locations, filter mechanisms, and ActiGraph to StepWatch steps per day. A sensitivity analysis of wear location by younger and older age was included. RESULTS: Twelve studies, with 46 comparisons, were identified. When worn on the hip, the AM-7164 recorded 123% of the GT series steps (no low-frequency extension (no LFE) or default filter). However, the AM-7164 recorded 72% of the GT series steps when the LFE was enabled. Independent of the filter used (i.e., LFE, no LFE), ActiGraph GT series monitors captured more steps on the wrist than on the hip, especially among older adults. Enabling the LFE on the GT series monitors consistently recorded more steps, regardless of wear location. When using the default filter (no LFE), ActiGraph recorded fewer steps than StepWatch (ActiGraph on hip 73% and ActiGraph on wrist 97% of StepWatch steps). When LFE was enabled, ActiGraph recorded more steps than StepWatch (ActiGraph on the hip, 132%; ActiGraph on the wrist, 178% of StepWatch steps). CONCLUSIONS: The choice of ActiGraph model, wear location, and filter all impacted steps per day in adults. These can markedly alter the steps recorded compared with a criterion method (StepWatch). This review provides critical insights for comparing studies using different ActiGraph step counting methods.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Marche à pied / Activité motrice Type d'étude: Prognostic_studies / Systematic_reviews Limites: Aged / Humans Langue: En Journal: Med Sci Sports Exerc Année: 2024 Type de document: Article Pays de publication: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Marche à pied / Activité motrice Type d'étude: Prognostic_studies / Systematic_reviews Limites: Aged / Humans Langue: En Journal: Med Sci Sports Exerc Année: 2024 Type de document: Article Pays de publication: États-Unis d'Amérique