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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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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No data were collected regarding the usability of the Fitbit: Health & Wellness app, as the app was primarily used to continuously synchronize Fitbit data with the My Data Helps app. Clinician semistructured interviews were conducted following the data collection period for the intervention (June-July 2023).
JMIR Cancer 2025;11:e60034
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The 2023 survey results showed that Apple (210/475, 44%) was the most popular WAT brand, followed by Fitbit (101/475, 21%), Garmin (92/475, 19%), Samsung (47/475, 10%), and other brands (22/475, 5%).
J Med Internet Res 2025;27:e56251
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Consumer-based wearable devices such as Fitbit (Google) have become popular for objectively measuring physical activity and sleep due to the advancements in microtechnology, wireless communication, battery capacity, and multidimension measurements. In addition, Fitbit devices use Bluetooth for easy data transfer to Fitbit servers through a smartphone or tablet, allowing for synchronization of real-time data.
JMIR Pediatr Parent 2025;8:e59159
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As this type of device is meant to be used in non–laboratory-controlled conditions or free-living conditions, this study aimed to evaluate the accuracy and validity of the PPG HR data from the Fitbit Charge 4 (FC4; Fitbit LLC) across multiple physical activity types. Therefore, the objectives of this study were to (1) assess the accuracy and reliability of FC4 HR measurement in ecological conditions and (2) quantify the potential impact of activity type on accuracy.
JMIR Mhealth Uhealth 2025;13:e54871
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Participants were provided with Fitbit Charge 2 devices and asked to wear them as much as possible. Fitbit collected physiological data (eg, HR), activity data (eg, step count), and sleep. The study hypothesized that HR and behavioral data could signal episodes of acute marijuana intoxication. Fitbit data were retrieved from the Fitbit server at the end of the study using the Fitbit application programming interface.
JMIR AI 2025;4:e52270
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Fitbit (Google Inc) consumer activity trackers are a valid and reliable method of measuring physical activity (steps, distance walked, energy expenditure, physical activity intensity, and sedentary behavior). When compared with laboratory-based tests of physical activity, Fitbit activity trackers have been shown to have large significant correlation coefficients of between 96.5 and 99.1 [10].
JMIR Diabetes 2024;9:e60066
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