@misc{10481/68478,
year = {2021},
url = {http://hdl.handle.net/10481/68478},
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 cutpoints 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 (crossvalidation: 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 nondominant 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 (crossvalidation: 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.},
organization = {University of Pittsburgh Claude D. Pepper Older
Americans Independence Center, Research Registry and Developmental Pilot Grant (no. NIH P30
AG024827)},
organization = {National Institute on Aging Professional Services Contract HHSN271201100605P
supported AREA/DECOS},
organization = {Intramural Research
Program of the National Institutes of Health, National Institute on Aging, and by research grants
AG036594, and AG000181 from the National Institutes of Health},
organization = {Biomedical Research Networking Center on Frailty and Healthy Aging (CIBERFES)},
organization = {FEDER funds from the European Union (CB16/10/00477)},
organization = {Spanish Ministry of Science and Innovation (FJC2018-037925-I)},
organization = {Plan Propio de
Investigación 2020 from the University of Granada-Programa Contratos-Puente},
publisher = {MDPI},
keywords = {Sedentary behaviors},
keywords = {Movement},
keywords = {Light intensity},
keywords = {Exercise},
keywords = {Sitting},
keywords = {Elderly},
keywords = {Counts},
keywords = {ENMO},
title = {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},
doi = {10.3390/s21103326},
author = {Migueles Hidalgo, Jairo and Cadenas Sánchez, Cristina and Alcántara Alcántara, Juan Manuel},
}