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Using Internet of Things to Reduce Office Workers’ Sedentary Behavior: Intervention Development Applying the Behavior Change Wheel and Human-Centered Design Approach

Using Internet of Things to Reduce Office Workers’ Sedentary Behavior: Intervention Development Applying the Behavior Change Wheel and Human-Centered Design Approach

at reducing office workers’ SB and found that technological designs combining passive data collection with automated tailored feedback and scheduled prompts and involving several connected devices are promising for delivering just-in-time adaptive interventions

Yitong Huang, Steve Benford, Dominic Price, Roma Patel, Benqian Li, Alex Ivanov, Holly Blake

JMIR Mhealth Uhealth 2020;8(7):e17914


Toward Increasing Engagement in Substance Use Data Collection: Development of the Substance Abuse Research Assistant App and Protocol for a Microrandomized Trial Using Adolescents and Emerging Adults

Toward Increasing Engagement in Substance Use Data Collection: Development of the Substance Abuse Research Assistant App and Protocol for a Microrandomized Trial Using Adolescents and Emerging Adults

Knowledge about these temporal processes can enable better understanding of the real-time antecedents and sequelae of substance use and can inform the development of just-in-time adaptive interventions (JITAIs) (eg, for craving, high-risk activity spaces, negative

Mashfiqui Rabbi, Meredith Philyaw Kotov, Rebecca Cunningham, Erin E. Bonar, Inbal Nahum-Shani, Predrag Klasnja, Maureen Walton, Susan Murphy

JMIR Res Protoc 2018;7(7):e166


A Mobile Just-in-Time Adaptive Intervention for Smoking Cessation: Pilot Randomized Controlled Trial

A Mobile Just-in-Time Adaptive Intervention for Smoking Cessation: Pilot Randomized Controlled Trial

Furthermore, real-time reports of smoking lapse contexts suggest that most lapse episodes occur within minutes of the onset of a craving [28].Just-in-Time Adaptive InterventionsA recent model for addressing dynamic health behaviors such as smoking lapse is

Emily T Hébert, Chaelin K Ra, Adam C Alexander, Angela Helt, Rachel Moisiuc, Darla E Kendzor, Damon J Vidrine, Rachel K Funk-Lawler, Michael S Businelle

J Med Internet Res 2020;22(3):e16907


Development of a Just-in-Time Adaptive mHealth Intervention for Insomnia: Usability Study

Development of a Just-in-Time Adaptive mHealth Intervention for Insomnia: Usability Study

Furthermore, there is also a geographic barrier to care: trained behavioral sleep clinicians are concentrated mostly in just a few major cities, while the need for them is dispersed throughout the entire country, especially in rural areas.In response to these

I Wayan Pulantara, Bambang Parmanto, Anne Germain

JMIR Hum Factors 2018;5(2):e21


Assessment of the Efficacy of a Mobile Phone–Delivered Just-in-Time Planning Intervention to Reduce Alcohol Use in Adolescents: Randomized Controlled Crossover Trial

Assessment of the Efficacy of a Mobile Phone–Delivered Just-in-Time Planning Intervention to Reduce Alcohol Use in Adolescents: Randomized Controlled Crossover Trial

To date, published studies on the effects of just-in-time interventions are limited to physical activity and sedentary behavior, with mixed evidence for intervention effects [13].In this study, we tested the proximal effects of a mobile phone–delivered, just-in-time

Severin Haug, Raquel Paz Castro, Urte Scholz, Tobias Kowatsch, Michael Patrick Schaub, Theda Radtke

JMIR Mhealth Uhealth 2020;8(5):e16937


Developing an Adaptive Mobile Intervention to Address Risky Substance Use Among Adolescents and Emerging Adults: Usability Study

Developing an Adaptive Mobile Intervention to Address Risky Substance Use Among Adolescents and Emerging Adults: Usability Study

IntroductionBackgroundAdvances in mobile health (mHealth) not only allow for accessible and cost-effective interventions but also offer novel opportunities for delivering personalized and adaptive interventions in the real world.

Lara N Coughlin, Inbal Nahum-Shani, Meredith L Philyaw-Kotov, Erin E Bonar, Mashfiqui Rabbi, Predrag Klasnja, Susan Murphy, Maureen A Walton

JMIR Mhealth Uhealth 2021;9(1):e24424


Effects of a Novel Contextual Just-In-Time Mobile App Intervention (LowSalt4Life) on Sodium Intake in Adults With Hypertension: Pilot Randomized Controlled Trial

Effects of a Novel Contextual Just-In-Time Mobile App Intervention (LowSalt4Life) on Sodium Intake in Adults With Hypertension: Pilot Randomized Controlled Trial

This app provides a highly adaptive intervention wherein tailored messages are provided exactly when the patient needs help, also known as “just-in-time,” and with the precise information needed for that location, also known as “contextual.”

Michael P Dorsch, Maria L Cornellier, Armella D Poggi, Feriha Bilgen, Peiyu Chen, Cindy Wu, Lawrence C An, Scott L Hummel

JMIR Mhealth Uhealth 2020;8(8):e16696


A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study

A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study

System-triggered lapse-prevention support driven by fixed schedules [19], random timing [20], or a combination of the two [16] are likely to be limited in their ability to deliver just-in-time lapse support, as found in a recent study showing no difference

Felix Naughton, Sarah Hopewell, Neal Lathia, Rik Schalbroeck, Chloë Brown, Cecilia Mascolo, Andy McEwen, Stephen Sutton

JMIR Mhealth Uhealth 2016;4(3):e106


Investigating Intervention Components and Exploring States of Receptivity for a Smartphone App to Promote Physical Activity: Protocol of a Microrandomized Trial

Investigating Intervention Components and Exploring States of Receptivity for a Smartphone App to Promote Physical Activity: Protocol of a Microrandomized Trial

this kind of dynamic tailoring are referred to as just-in-time adaptive interventions (JITAIs) [3].During the development process of a JITAI, it is crucial to decide what key intervention components are needed to affect the desired intervention outcome and

Jan-Niklas Kramer, Florian Künzler, Varun Mishra, Bastien Presset, David Kotz, Shawna Smith, Urte Scholz, Tobias Kowatsch

JMIR Res Protoc 2019;8(1):e11540


Reducing Drinking Among People Experiencing Homelessness: Protocol for the Development and Testing of a Just-in-Time Adaptive Intervention

Reducing Drinking Among People Experiencing Homelessness: Protocol for the Development and Testing of a Just-in-Time Adaptive Intervention

This paper describes the rationale and design for a three-phase treatment development study to develop a just-in-time adaptive smartphone intervention (JITAI) to reduce alcohol use in adults experiencing homelessness.ObjectivesDuring phase I, we will use smartphones

Michael S Businelle, Scott T Walters, Eun-Young Mun, Thomas R Kirchner, Emily T Hébert, Xiaoyin Li

JMIR Res Protoc 2020;9(4):e15610