e.g. mhealth
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Skip search results from other journals and go to results- 22 JMIR mHealth and uHealth
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The study builds off the original pilot Tweet4 Wellness [59], which tested the feasibility, acceptability, and preliminary efficacy of a novel Twitter-based walking break intervention with daily behavior change strategies and prompts for social support, combined with a Fitbit compared to a Fitbit-wearing only control group.
JMIR Res Protoc 2025;14:e64455
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Surgical patients received a Fitbit device and account information at the end of their consent meeting on their preoperative visit day. Those who consented via e Consenting received a mailed Fitbit device and account information. After receiving their device in person or via mail, a research staff member contacted the families via Zoom to explain the Fitbit setup and answer any questions. Participants were instructed to wear their Fitbit continuously throughout the study.
JMIR Form Res 2025;9:e59074
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A leading example is the National Institutes of Health–funded All of Us Research Program, which collects longitudinal Fitbit data with privacy-preserving linkage to electronic health records (EHRs) and other data types [1,2]. Studies based on this data set have documented associations between Fitbit-derived activity and sleep metrics and the onset of chronic diseases [3,4].
J Med Internet Res 2025;27:e71718
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The secondary aim of this study was to explore the relationship between RAR metrics derived from Fitbit data and cognitive function. While previous research has linked nonparametric and cosinor-based RAR metrics to cognitive decline, most studies have relied on research-grade actigraphy devices. This study introduces novel RAR metrics derived from Fitbit data to exploratorily assess their associations with cognitive function.
JMIR Form Res 2025;9:e71393
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The Fitbit Charge 6 was chosen for validation because of its widespread popularity, low cost, ease of use, and detailed metrics tracking on a minute-by-minute basis. It is important to note that access to minute-level data collected by Fitbit is not available via a web portal or an app and is only available via an application programming interface (API). There are 2 approaches commonly used to access Fitbit data.
JMIR Res Protoc 2025;14:e70472
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The Fitbit Sense (Fitbit Inc) is a wrist-worn wearable device designed for continuous monitoring of various physiological parameters, such as heart rate, resting heart rate, step counts, daily minutes of vigorous activity, and sleep patterns and architecture. This wearable device was chosen because of its long battery life (up to 6 d) and its durability, including waterproofing.
JMIR Form Res 2025;9:e54630
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We leveraged the All of Us Research Program (Ao URP) dataset, a longitudinal, observational dataset with several health-related data types, including electronic health records (EHRs), surveys, physical measurements, and Fitbit data [21]. To highlight the potential value of Fitbit wear time in facilitating early detection of PPD, we characterized differences in wear time between females with and without PPD.
JMIR Form Res 2025;9:e67585
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In the first experiment, we used a standardized protocol to test the feasibility of data collection with the Acti Graph w GT3 X-BT, MOX 1, Meta Motion C (MMC), and Fitbit Versa over a short period of time, while validating the data collected for detecting body posture and step count using a standardized protocol.
JMIR Aging 2025;8:e64372
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All trials used Fitbit activity monitors to track participant levels of physical activity. For the current analysis, we examined several metrics of adherence to the Fitbit devices used in each trial to determine the feasibility of device integration. First, we identified the mean and SD of daily Fitbit wear time for each trial and by age group in the trial (
All trials administered satisfaction surveys after trial completion to assess trial acceptability.
J Med Internet Res 2025;27:e54629
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Using Wear Time for the Analysis of Consumer-Grade Wearables’ Data: Case Study Using Fitbit Data
This intervention leveraged the combination of Fitbit and survey data collected using an app (TBI-Care QOL). It is important to note that participants were reminded to sync their Fitbit data every Monday and Friday if they had not already done so.
The details of this study protocol can be found in Cislo et al [19].
JMIR Mhealth Uhealth 2025;13:e46149
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