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 Research Protocols

Date Submitted: Jun 17, 2025
Date Accepted: Nov 27, 2025

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

Just-in-Time Adaptive Intervention to Promote Walking Behavior and Reduce Stationary Time in Physically Inactive Adults: Protocol for the Walking With JITAIs Study

Firkin CJ, Vemuri A, Rahman T, Bodt B, Orsega-Smith E, Decker K, Dominick GM

Just-in-Time Adaptive Intervention to Promote Walking Behavior and Reduce Stationary Time in Physically Inactive Adults: Protocol for the Walking With JITAIs Study

JMIR Res Protoc 2026;15:e79022

DOI: 10.2196/79022

PMID: 41499773

PMCID: 12824576

A just-in-time adaptive intervention to promote walking behavior and reduce stationary time in physically inactive adults: Protocol for the Walking with JITAIs study

  • Cora J. Firkin; 
  • Ajith Vemuri; 
  • Tanvir Rahman; 
  • Barry Bodt; 
  • Elizabeth Orsega-Smith; 
  • Keith Decker; 
  • Gregory M. Dominick

ABSTRACT

Background:

A just-in-time adaptive intervention (JITAI) recognizes the dynamic nature of individuals’ states and contexts, predicts support needs, and sends tailored support at more opportune, actionable times.

Objective:

This manuscript outlines the application architecture and protocol for the pilot “Walking with JITAIs” study, which employs a JITAI approach to improve walking behavior—duration, speed, and distance—and reduce stationary time, defined as idle sitting or standing.

Methods:

The study targets 20 adults who are physically inactive and leverages the Apple Watch® to deliver fully-automated tailored intervention notifications to “Walk Faster,” “Walk Longer,” or “Stand Up and Move Around” based on real-time data and contextual factors, including time-of-day activity patterns, geographic locations (e.g., home, work, park, gym), weather conditions (e.g., precipitation, wind speed, humidity), and receptiveness. The protocol involves a pre-intervention assessment of demographics, behavior change constructs, anthropometrics, and resting vital signs; a two-week observation period to establish walking behavior and stationary time baselines; a two-week just-in-time learning period to evaluate receptiveness to untailored prompts at all applicable times; the two-week JITAI intervention phase; and a post-intervention assessment. Feasibility will be evaluated through protocol fidelity, participant adherence, Apple Watch wear-time compliance, user burden, acceptability ratings, and perceptions of benefits and preferences.

Results:

The “Walking with JITAIs” architecture development began in Spring 2021 and concluded in Fall 2022. Participant recruitment and enrollment began in Fall 2022. Upon completion of the analyses, the results of this study are expected to be submitted for publication.

Conclusions:

Distinctively, the “Walking with JITAIs” just-in-time learning period aims to train the Learner based on user receptiveness within contexts by sending interventions whenever a participant meets the pre-determined thresholds regardless of the likelihood that the user will be receptive to the notification to prune out non-opportune or “non-actionable” times. This approach may allow for greater customization during the JITAI period. Clinical Trial: NA


 Citation

Please cite as:

Firkin CJ, Vemuri A, Rahman T, Bodt B, Orsega-Smith E, Decker K, Dominick GM

Just-in-Time Adaptive Intervention to Promote Walking Behavior and Reduce Stationary Time in Physically Inactive Adults: Protocol for the Walking With JITAIs Study

JMIR Res Protoc 2026;15:e79022

DOI: 10.2196/79022

PMID: 41499773

PMCID: 12824576

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.