Smartphone-recorded physical activity for estimating cardiorespiratory fitness
| Autor: | Stephen P. Juraschek, Athanasios Tsanas, Kenneth J. Mukamal, Micah T Eades, Ernest V. Gervino, Daniel B. Kramer |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Male
Science Physical activity Metabolic equivalent Article 03 medical and health sciences 0302 clinical medicine Independent samples medicine Humans 030212 general & internal medicine Exercise Aged Preventive medicine Multidisciplinary medicine.diagnostic_test business.industry Age Factors Cardiac stress test Cardiorespiratory fitness Regression analysis Diagnostic markers 030229 sport sciences Middle Aged Cardiovascular diseases Logistic Models Cardiorespiratory Fitness Risk stratification Exercise Test Medicine Female Smartphone business Body mass index Demography |
| Zdroj: | Scientific Reports Scientific Reports, Vol 11, Iss 1, Pp 1-6 (2021) Eades, M T, Tsanas, A, Juraschek, S P, Kramer, D B, Gervino, E & Mukamal, K J 2021, ' Smartphone-recorded physical activity for estimating cardiorespiratory fitness ', Scientific Reports, vol. 11, no. 1, pp. 14851 . https://doi.org/10.1038/s41598-021-94164-x |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/s41598-021-94164-x |
| Popis: | While cardiorespiratory fitness is strongly associated with mortality and diverse outcomes, routine measurement is limited. We used smartphone-derived physical activity data to estimate fitness among 50 older adults. We recruited iPhone owners undergoing cardiac stress testing and collected recent iPhone physical activity data. Cardiorespiratory fitness was measured as peak metabolic equivalents of task (METs) achieved on cardiac stress test. We then estimated peak METs using multivariable regression models incorporating iPhone physical activity data, and validated with bootstrapping. Individual smartphone variables most significantly correlated with peak METs (p-values both |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink