Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: Jan 12, 2025
Date Accepted: Sep 2, 2025

The final, peer-reviewed published version of this preprint can be found here:

Relationship Between Activity Tracker Metrics and the Physical Activity Index and Their Association With Cardiometabolic Phenotypes, Subclinical Atherosclerosis, and Cardiac Remodeling: Cross-Sectional Study

Huang W, Wong MKF, Loh EDW, Koh T, Tan AW, Shen X, Varli O, Kong SC, Chin CWL, Tan SY, Yap JJL, Ng EYK, Yeo KK

Relationship Between Activity Tracker Metrics and the Physical Activity Index and Their Association With Cardiometabolic Phenotypes, Subclinical Atherosclerosis, and Cardiac Remodeling: Cross-Sectional Study

JMIR Mhealth Uhealth 2025;13:e71213

DOI: 10.2196/71213

PMID: 40991940

PMCID: 12508664

Relationship of Activity Tracker metrics and the Physical Activity Index and their association with cardiometabolic phenotype, subclinical atherosclerosis and cardiac remodelling: A cross-sectional study

  • Weiting Huang; 
  • Mark Kei Fong Wong; 
  • Enver De Wei Loh; 
  • Tracy Koh; 
  • Alex Weixian Tan; 
  • Xiayan Shen; 
  • Onur Varli; 
  • Siew Ching Kong; 
  • Calvin Woon Loong Chin; 
  • Swee Yaw Tan; 
  • Jonathan Jiunn Liang Yap; 
  • Eddie Yin Kwee Ng; 
  • Khung Keong Yeo

ABSTRACT

Background:

Despite advances in consumer wearable technology, there is a knowledge gap in the association between quantified metrices by wearable technology and cardiometabolic health.

Objective:

As the quantified metrices are likely correlated with each other, this study aimed to identify the groups of latent factors measured by an activity tracker, the Fitbit HR, and associate these factors to cross-sectional health outcomes measured at the time of monitored activity.

Methods:

Using exploratory factor analysis, we identified three latent factors measured by the Fitbit metrics on physical activity: 1) Elevated metabolic equivalent of tasks (METS) [calories burned per day, minutes per day spent fairly active in METS 3-6 and very active METS≄6 and activity calories] 2) Total Activity [steps per day, distance in kilometers per day and number of floors per day] and 3) Others.

Results:

Participants in the highest quartile of Elevated METS, who spent the most time in moderate to vigorous exercise, had significantly higher blood pressure, worse lipid profile and higher calcium score. Increased average activity, represented by Total Activity, was associated with favourable cardiovascular risk profile.

Conclusions:

These findings support the use of Total Activity, regardless of intensity, for exercise prescription and points toward the adverse cardiovascular impact of overexercise. Clinical Trial: ClinicalTrials.gov ID NCT02791152


 Citation

Please cite as:

Huang W, Wong MKF, Loh EDW, Koh T, Tan AW, Shen X, Varli O, Kong SC, Chin CWL, Tan SY, Yap JJL, Ng EYK, Yeo KK

Relationship Between Activity Tracker Metrics and the Physical Activity Index and Their Association With Cardiometabolic Phenotypes, Subclinical Atherosclerosis, and Cardiac Remodeling: Cross-Sectional Study

JMIR Mhealth Uhealth 2025;13:e71213

DOI: 10.2196/71213

PMID: 40991940

PMCID: 12508664

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.