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Wrist-specific accelerometry methods for estimating free-living physical activity.
Kingsley, Michael I C; Nawaratne, Rashmika; O'Halloran, Paul D; Montoye, Alexander H K; Alahakoon, Damminda; De Silva, Daswin; Staley, Kiera; Nicholson, Matthew.
Afiliación
  • Kingsley MIC; Exercise Physiology, La Trobe Rural Health School, La Trobe University, Australia. Electronic address: M.Kingsley@latrobe.edu.au.
  • Nawaratne R; Research Centre for Data Analytics and Cognition, School of Business, La Trobe University, Australia.
  • O'Halloran PD; School of Psychology and Public Health, La Trobe University, Australia.
  • Montoye AHK; Research in Applied Physiology Laboratory, Integrative Physiology and Health Science Department, Alma College, USA.
  • Alahakoon D; Research Centre for Data Analytics and Cognition, School of Business, La Trobe University, Australia.
  • De Silva D; Research Centre for Data Analytics and Cognition, School of Business, La Trobe University, Australia.
  • Staley K; Centre of Sport and Social Impact, School of Business, La Trobe University, Australia.
  • Nicholson M; Centre of Sport and Social Impact, School of Business, La Trobe University, Australia.
J Sci Med Sport ; 22(6): 677-683, 2019 Jun.
Article en En | MEDLINE | ID: mdl-30558904
OBJECTIVES: To compare accelerometry-derived estimates of physical activity from 9 wrist-specific predictive models and a reference hip-specific method. DESIGN: Prospective cohort repeated measures study. METHODS: 110 participants wore an accelerometer at wrist and hip locations for 1 week of free-living. Accelerometer data from three axes were used to calculate physical activity estimates using existing wrist-specific models (3 linear and 6 artificial neural network models) and a reference hip-specific method. Estimates of physical activity were compared to reference values at both epoch (≤60-s) and weekly levels. RESULTS: 9044h were analysed. Physical activity ranged from 7 to 96min per day of moderate-to-vigorous physical activity (MVPA). Method of analysis influenced determination of sedentary behaviour (<1.5 METs), light physical activity (1.5 to <3 METs) and MVPA (>3 METs) (p<0.001, respectively). All wrist-specific models produced total weekly MVPA values that were different to the reference method. At the epoch level, Hildebrand et al. (2014) produced the strongest correlation (r=0.69, 95%CI: 0.67-0.71) with tightest ratio limits of agreement (95%CI: 0.53-1.30) for MVPA, and highest agreement to predict MVPA (94.1%, 95%CI: 94.0-94.1%) with sensitivity of 63.1% (95%CI: 62.6-63.7%) and specificity of 96.0% (95%CI: 95.9-96.0%). CONCLUSIONS: Caution is required when comparing results from studies that use inconsistent analysis methods. Although a wrist-specific linear model produced results that were most similar to the hip-specific reference method when estimating total weekly MVPA, modest absolute and relative agreement at the epoch level suggest that additional analysis methods are required to improve estimates of physical activity derived from wrist-worn accelerometers.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Muñeca / Ejercicio Físico / Acelerometría / Monitores de Ejercicio Tipo de estudio: Observational_studies / Prognostic_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: J Sci Med Sport Asunto de la revista: MEDICINA ESPORTIVA Año: 2019 Tipo del documento: Article Pais de publicación: Australia
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Muñeca / Ejercicio Físico / Acelerometría / Monitores de Ejercicio Tipo de estudio: Observational_studies / Prognostic_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: J Sci Med Sport Asunto de la revista: MEDICINA ESPORTIVA Año: 2019 Tipo del documento: Article Pais de publicación: Australia