Estimating Maximal Oxygen Uptake From Daily Activity Data Measured by a Watch-Type Fitness Tracker: Cross-Sectional Study
BackgroundCardiorespiratory fitness (CRF), an important index of physical fitness, is the ability to inhale and provide oxygen to the exercising muscle. However, despite its importance, the current gold standard for measuring CRF is impractical, requiring maximal exercise from the participants....
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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JMIR Publications
2019-06-01
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| Series: | JMIR mHealth and uHealth |
| Online Access: | https://mhealth.jmir.org/2019/6/e13327/ |
| _version_ | 1818381950350524416 |
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| author | Kwon, Soon Bin Ahn, Joong Woo Lee, Seung Min Lee, Joonnyong Lee, Dongheon Hong, Jeeyoung Kim, Hee Chan Yoon, Hyung-Jin |
| author_facet | Kwon, Soon Bin Ahn, Joong Woo Lee, Seung Min Lee, Joonnyong Lee, Dongheon Hong, Jeeyoung Kim, Hee Chan Yoon, Hyung-Jin |
| author_sort | Kwon, Soon Bin |
| collection | DOAJ |
| description | BackgroundCardiorespiratory fitness (CRF), an important index of physical fitness, is the ability to inhale and provide oxygen to the exercising muscle. However, despite its importance, the current gold standard for measuring CRF is impractical, requiring maximal exercise from the participants.
ObjectiveThis study aimed to develop a convenient and practical estimation model for CRF using data collected from daily life with a wristwatch-type device.
MethodsA total of 191 subjects, aged 20 to 65 years, participated in this study. Maximal oxygen uptake (VO2 max), a standard measure of CRF, was measured with a maximal exercise test. Heart rate (HR) and physical activity data were collected using a commercial wristwatch-type fitness tracker (Fitbit; Fitbit Charge; Fitbit) for 3 consecutive days. Maximal activity energy expenditure (aEEmax) and slope between HR and physical activity were calculated using a linear regression. A VO2 max estimation model was built using multiple linear regression with data on age, sex, height, percent body fat, aEEmax, and the slope. The result was validated with 2 different cross-validation methods.
ResultsaEEmax showed a moderate correlation with VO2 max (r=0.50). The correlation coefficient for the multiple linear regression model was 0.81, and the SE of estimate (SEE) was 3.518 mL/kg/min. The regression model was cross-validated through the predicted residual error sum of square (PRESS). The PRESS correlation coefficient was 0.79, and the PRESS SEE was 3.667 mL/kg/min. The model was further validated by dividing it into different subgroups and calculating the constant error (CE) where a low CE showed that the model does not significantly overestimate or underestimate VO2 max.
ConclusionsThis study proposes a CRF estimation method using data collected by a wristwatch-type fitness tracker without any specific protocol for a wide range of the population. |
| first_indexed | 2024-12-14T02:42:43Z |
| format | Article |
| id | doaj.art-75b7be4b62124716b7c700437a2e58a7 |
| institution | Directory Open Access Journal |
| issn | 2291-5222 |
| language | English |
| last_indexed | 2024-12-14T02:42:43Z |
| publishDate | 2019-06-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR mHealth and uHealth |
| spelling | doaj.art-75b7be4b62124716b7c700437a2e58a72022-12-21T23:19:58ZengJMIR PublicationsJMIR mHealth and uHealth2291-52222019-06-0176e1332710.2196/13327Estimating Maximal Oxygen Uptake From Daily Activity Data Measured by a Watch-Type Fitness Tracker: Cross-Sectional StudyKwon, Soon BinAhn, Joong WooLee, Seung MinLee, JoonnyongLee, DongheonHong, JeeyoungKim, Hee ChanYoon, Hyung-JinBackgroundCardiorespiratory fitness (CRF), an important index of physical fitness, is the ability to inhale and provide oxygen to the exercising muscle. However, despite its importance, the current gold standard for measuring CRF is impractical, requiring maximal exercise from the participants. ObjectiveThis study aimed to develop a convenient and practical estimation model for CRF using data collected from daily life with a wristwatch-type device. MethodsA total of 191 subjects, aged 20 to 65 years, participated in this study. Maximal oxygen uptake (VO2 max), a standard measure of CRF, was measured with a maximal exercise test. Heart rate (HR) and physical activity data were collected using a commercial wristwatch-type fitness tracker (Fitbit; Fitbit Charge; Fitbit) for 3 consecutive days. Maximal activity energy expenditure (aEEmax) and slope between HR and physical activity were calculated using a linear regression. A VO2 max estimation model was built using multiple linear regression with data on age, sex, height, percent body fat, aEEmax, and the slope. The result was validated with 2 different cross-validation methods. ResultsaEEmax showed a moderate correlation with VO2 max (r=0.50). The correlation coefficient for the multiple linear regression model was 0.81, and the SE of estimate (SEE) was 3.518 mL/kg/min. The regression model was cross-validated through the predicted residual error sum of square (PRESS). The PRESS correlation coefficient was 0.79, and the PRESS SEE was 3.667 mL/kg/min. The model was further validated by dividing it into different subgroups and calculating the constant error (CE) where a low CE showed that the model does not significantly overestimate or underestimate VO2 max. ConclusionsThis study proposes a CRF estimation method using data collected by a wristwatch-type fitness tracker without any specific protocol for a wide range of the population.https://mhealth.jmir.org/2019/6/e13327/ |
| spellingShingle | Kwon, Soon Bin Ahn, Joong Woo Lee, Seung Min Lee, Joonnyong Lee, Dongheon Hong, Jeeyoung Kim, Hee Chan Yoon, Hyung-Jin Estimating Maximal Oxygen Uptake From Daily Activity Data Measured by a Watch-Type Fitness Tracker: Cross-Sectional Study JMIR mHealth and uHealth |
| title | Estimating Maximal Oxygen Uptake From Daily Activity Data Measured by a Watch-Type Fitness Tracker: Cross-Sectional Study |
| title_full | Estimating Maximal Oxygen Uptake From Daily Activity Data Measured by a Watch-Type Fitness Tracker: Cross-Sectional Study |
| title_fullStr | Estimating Maximal Oxygen Uptake From Daily Activity Data Measured by a Watch-Type Fitness Tracker: Cross-Sectional Study |
| title_full_unstemmed | Estimating Maximal Oxygen Uptake From Daily Activity Data Measured by a Watch-Type Fitness Tracker: Cross-Sectional Study |
| title_short | Estimating Maximal Oxygen Uptake From Daily Activity Data Measured by a Watch-Type Fitness Tracker: Cross-Sectional Study |
| title_sort | estimating maximal oxygen uptake from daily activity data measured by a watch type fitness tracker cross sectional study |
| url | https://mhealth.jmir.org/2019/6/e13327/ |
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