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Calibration and Cross-Validation of Accelerometer Cut-Points to Classify Sedentary Time and Physical Activity from Hip and Non-Dominant and Dominant Wrists in Older Adults.
Migueles, Jairo H; Cadenas-Sanchez, Cristina; Alcantara, Juan M A; Leal-Martín, Javier; Mañas, Asier; Ara, Ignacio; Glynn, Nancy W; Shiroma, Eric J.
Afiliação
  • Migueles JH; Department of Health, Medicine and Caring Sciences, Linköping University, 581 83 Linköping, Sweden.
  • Cadenas-Sanchez C; PROFITH "PROmoting FITness and Health Through Physical Activity" Research Group, Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, 18010 Granada, Spain.
  • Alcantara JMA; PROFITH "PROmoting FITness and Health Through Physical Activity" Research Group, Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, 18010 Granada, Spain.
  • Leal-Martín J; Institute for Innovation & Sustainable Development in Food Chain (IS-FOOD), Public University of Navarra, 31006 Pamplona, Spain.
  • Mañas A; PROFITH "PROmoting FITness and Health Through Physical Activity" Research Group, Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, 18010 Granada, Spain.
  • Ara I; GENUD Toledo Research Group, Universidad de Castilla-La Mancha, Avenida Carlos III s/n, 45071 Toledo, Spain.
  • Glynn NW; CIBER of Frailty and Healthy Aging (CIBERFES), 28029 Madrid, Spain.
  • Shiroma EJ; GENUD Toledo Research Group, Universidad de Castilla-La Mancha, Avenida Carlos III s/n, 45071 Toledo, Spain.
Sensors (Basel) ; 21(10)2021 May 11.
Article em En | MEDLINE | ID: mdl-34064790
ABSTRACT
Accelerometers' accuracy for sedentary time (ST) and moderate-to-vigorous physical activity (MVPA) classification depends on accelerometer placement, data processing, activities, and sample characteristics. As intensities differ by age, this study sought to determine intensity cut-points at various wear locations people more than 70 years old. Data from 59 older adults were used for calibration and from 21 independent participants for cross-validation purposes. Participants wore accelerometers on their hip and wrists while performing activities and having their energy expenditure measured with portable calorimetry. ST and MVPA were defined as ≤1.5 metabolic equivalents (METs) and ≥3 METs (1 MET = 2.8 mL/kg/min), respectively. Receiver operator characteristic (ROC) analyses showed fair-to-good accuracy (area under the curve [AUC] = 0.62-0.89). ST cut-points were 7 mg (cross-validation sensitivity = 0.88, specificity = 0.80) and 1 count/5 s (cross-validation sensitivity = 0.91, specificity = 0.96) for the hip; 18 mg (cross-validation sensitivity = 0.86, specificity = 0.86) and 102 counts/5 s (cross-validation sensitivity = 0.91, specificity = 0.92) for the non-dominant wrist; and 22 mg and 175 counts/5 s (not cross-validated) for the dominant wrist. MVPA cut-points were 14 mg (cross-validation sensitivity = 0.70, specificity = 0.99) and 54 count/5 s (cross-validation sensitivity = 1.00, specificity = 0.96) for the hip; 60 mg (cross-validation sensitivity = 0.83, specificity = 0.99) and 182 counts/5 s (cross-validation sensitivity = 1.00, specificity = 0.89) for the non-dominant wrist; and 64 mg and 268 counts/5 s (not cross-validated) for the dominant wrist. These cut-points can classify ST and MVPA in older adults from hip- and wrist-worn accelerometers.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Punho / Comportamento Sedentário Tipo de estudo: Prognostic_studies Limite: Aged / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Punho / Comportamento Sedentário Tipo de estudo: Prognostic_studies Limite: Aged / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article