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Testing the Recruitment Frequency, Implementation Fidelity, and Feasibility of Outcomes of the Heart Failure Activity Coach Study (HEALTHY): Pilot Randomized Controlled Trial

Testing the Recruitment Frequency, Implementation Fidelity, and Feasibility of Outcomes of the Heart Failure Activity Coach Study (HEALTHY): Pilot Randomized Controlled Trial

Physical inactivity and sedentary behavior adversely affect outcomes in patients with HF. Sedentary behavior is a state where no activities performed increase energy expenditure substantially above the resting level, typically sitting or lying down [3]. Physical inactivity can be defined as the nonachievement of targets according to the physical activity guidelines that are recommended for an individual [4].

Andreas Blomqvist, Maria Bäck, Leonie Klompstra, Anna Strömberg, Tiny Jaarsma

JMIR Form Res 2025;9:e62910

Developing an Evidence- and Theory-Informed Mother-Daughter mHealth Intervention Prototype Targeting Physical Activity in Preteen Girls of Low Socioeconomic Position: Multiphase Co-Design Study

Developing an Evidence- and Theory-Informed Mother-Daughter mHealth Intervention Prototype Targeting Physical Activity in Preteen Girls of Low Socioeconomic Position: Multiphase Co-Design Study

This panel consisted of 3 academics (GO’D, AK, and RER) with expertise in PA, sedentary behavior, and the development of complex interventions and co-design methodologies. Both GO’D and AK are experienced qualitative researchers and have conducted previous studies exploring PA and sedentary behavior using the TDF, and RER is an experienced researcher with an applied focus on PA during life transitions. Phase 1 included steps 1 to 4 of the BCW intervention design process [37].

Carol Brennan, Grainne ODonoghue, Alison Keogh, Ryan E Rhodes, James Matthews

JMIR Pediatr Parent 2025;8:e62795

Physical Activity Mobile App (CareFit) for Informal Carers of People With Dementia: Protocol for a Feasibility and Adaptation Study

Physical Activity Mobile App (CareFit) for Informal Carers of People With Dementia: Protocol for a Feasibility and Adaptation Study

While initial results identified the acceptability, usability, and feasibility of the app and concept, the work marked only the first step to develop an evidence base for future use and explores a relatively new area of research around sedentary behavior in informal carers.

Kieren Egan, Bradley Macdonald, William Hodgson, Alison Kirk, Barbara Fawcett, Mark D Dunlop, Roma Maguire, Greg Flynn, Joshua Stott, Gill Windle

JMIR Res Protoc 2024;13:e53727

The Rationale Behind the Design Decisions in an Augmented Reality Mobile eHealth Exergame to Increase Physical Activity for Inactive Older People With Heart Failure

The Rationale Behind the Design Decisions in an Augmented Reality Mobile eHealth Exergame to Increase Physical Activity for Inactive Older People With Heart Failure

In summary, older people with heart failure often lead sedentary lifestyles. AR mobile exergames have the potential to encourage increased physical activity, yet the current lack of mobile exergames designed for both indoor and outdoor use, incorporating gamification features to influence patient behavior, presents a notable gap in the available solutions.

Aseel Berglund, Leonie Klompstra, Helena Orädd, Johan Fallström, Anna Strömberg, Tiny Jaarsma, Erik Berglund

JMIR Serious Games 2024;12:e50066

Defining Activity Thresholds Triggering a “Stand Hour” for Apple Watch Users: Cross-Sectional Study

Defining Activity Thresholds Triggering a “Stand Hour” for Apple Watch Users: Cross-Sectional Study

Sedentary behavior (SB) is a prevalent factor contributing to all-cause mortality and increasing the risk of developing noncommunicable diseases [1]. SB has been becoming more common for decades, and this has been exacerbated by the recent pandemic.

Katy Lyons, Alison Hau Hei Man, David Booth, Graham Rena

JMIR Form Res 2024;8:e53806

A Novel System for the Device-Based Measurement of Physical Activity, Sedentary Behavior, and Sleep (Motus): Usability Evaluation

A Novel System for the Device-Based Measurement of Physical Activity, Sedentary Behavior, and Sleep (Motus): Usability Evaluation

for adults aged 18-64 years and adults aged 65 years or older: an integration of physical activity, sedentary Reference 4: World Health Organization 2020 guidelines on physical activity and sedentary behaviour Reference 9: The surveillance of physical activity, sedentary behavior, and sleep: protocol for the development Reference 11: Objective measurement of physical activity and sedentary behaviour: review with new datasedentaryA Novel System for the Device-Based Measurement of Physical Activity, Sedentary Behavior, and Sleep (

Patrick Crowley, Rasmus Kildedal, Simon Overvad Vindelev, Sandra Schade Jacobsen, Jon Roslyng Larsen, Peter J Johansson, Mette Aadahl, Leon Straker, Emmanuel Stamatakis, Andreas Holtermann, Paul Jarle Mork, Nidhi Gupta

JMIR Form Res 2023;7:e48209

Associations Between Personality Traits and Energy Balance Behaviors in Emerging Adulthood: Cross-Sectional Study

Associations Between Personality Traits and Energy Balance Behaviors in Emerging Adulthood: Cross-Sectional Study

It is estimated that almost one-third of chronic diseases could be prevented by reducing exposure to modifiable lifestyle risk behaviors [2], such as physical inactivity, poor diet, alcohol use and smoking, poor sleep, and sedentary behaviors (SB; sitting and screen time) [3,4].

Katrina E Champion, Cath Chapman, Matthew Sunderland, Tim Slade, Emma Barrett, Erin Kelly, Lexine Stapinski, Lauren A Gardner, Maree Teesson, Nicola C Newton

JMIR Public Health Surveill 2023;9:e42244

Regional Difference in the Impact of COVID-19 Pandemic on Domain-Specific Physical Activity, Sedentary Behavior, Sleeping Time, and Step Count: Web-Based Cross-sectional Nationwide Survey and Accelerometer-Based Observational Study

Regional Difference in the Impact of COVID-19 Pandemic on Domain-Specific Physical Activity, Sedentary Behavior, Sleeping Time, and Step Count: Web-Based Cross-sectional Nationwide Survey and Accelerometer-Based Observational Study

Human lifestyles have changed in recent years, with an increasing number of people living a sedentary lifestyle, particularly in the countries with higher human development index [1]. Adequate amounts of physical activity (PA), limited sedentary behavior (SB), and proper sleeping time (ST) are essential for maintaining health [2-4].

Yosuke Yamada, Hideyuki Namba, Heiwa Date, Shinobu Kitayama, Yui Nakayama, Misaka Kimura, Hiroyuki Fujita, Motohiko Miyachi

JMIR Public Health Surveill 2023;9:e39992

The Surveillance of Physical Activity, Sedentary Behavior, and Sleep: Protocol for the Development and Feasibility Evaluation of a Novel Measurement System

The Surveillance of Physical Activity, Sedentary Behavior, and Sleep: Protocol for the Development and Feasibility Evaluation of a Novel Measurement System

Surveillance data should now ideally capture physical activities of all intensities across 24 hours, sedentary behavior, and sleep [1]. These data are very difficult to collect accurately using the traditional self-reported measures widely implemented in physical activity surveillance, primarily because habitual activities and sleep are difficult to recall, and therefore, the estimates reported are often incorrect [2].

Patrick Crowley, Erika Ikeda, Sheikh Mohammed Shariful Islam, Rasmus Kildedal, Sandra Schade Jacobsen, Jon Roslyng Larsen, Peter J Johansson, Pasan Hettiarachchi, Mette Aadahl, Paul Jarle Mork, Leon Straker, Emmanuel Stamatakis, Andreas Holtermann, Nidhi Gupta

JMIR Res Protoc 2022;11(6):e35697