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WHOOP, There It Is: Lessons From WHOOP’s FDA Warning Letter

WHOOP, There It Is: Lessons From WHOOP’s FDA Warning Letter

The FDA objected to WHOOP’s user insights interface, claiming the color-coded (green/yellow/orange) readings imply medical interpretation, but most fitness wearables use similar color-coding schemes: for example, Garmin shows heart rate zones in green, yellow, and red, and Apple Watch displays activity rings with traffic-light logic. If color-coding implies medical interpretation, are we going to start requiring submissions from manufacturers of street lights?

Blythe Karow, JMIR Correspondent

J Med Internet Res 2026;28:e90882


A Mobile App (CareFit) Supporting Physical Activity for Informal Carers of People With Dementia: Mixed Methods Feasibility and Adaptation Study

A Mobile App (CareFit) Supporting Physical Activity for Informal Carers of People With Dementia: Mixed Methods Feasibility and Adaptation Study

The inclusion criteria for carers were as follows: (1) adults (aged ≥18 years) living in Scotland who self-identified as informal carers (eg, partners, children, or friends) of a person with dementia (self-reported), (2) contemplating or preparing to practice physical activity, (3) ability to carry out simple exercises such as arm raises or stretching, (3) ability to read and write in English, (4) access to a smartphone (Android or Apple) as well as access to the internet, and (5) normal or corrected-to-normal

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

J Med Internet Res 2025;27:e56739


Changing User Experience of Wearable Activity Monitors Over 7 Years: Repeat Cross-Sectional Survey Study

Changing User Experience of Wearable Activity Monitors Over 7 Years: Repeat Cross-Sectional Survey Study

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%).

Darcy Beckett, Rachel Curtis, Kimberley Szeto, Carol Maher

J Med Internet Res 2025;27:e56251


Convergence in Mobility Data Sets From Apple, Google, and Meta

Convergence in Mobility Data Sets From Apple, Google, and Meta

Next, we performed a correlation analysis on the 3 data sets to depict their convergence or disparity (Figure 1 C; Figure 1 D, and Figure 1 E); we report positive correlations for Apple versus Meta (r=0.76), Apple versus Google (r=0.95), and Google versus Meta (r=0.87), when comparing the data. The 2020 mobility patterns from Apple, Google, and Meta across 58 countries. We selected the 58 countries that were present in the data from Apple, Google, and Meta.

Gustavo Sganzerla Martinez, David J Kelvin

JMIR Public Health Surveill 2023;9:e44286


Characteristics of Acute Childhood Illness Apps for Parents: Environmental Scan

Characteristics of Acute Childhood Illness Apps for Parents: Environmental Scan

Of mobile phone owners, more than 97% use an Android- or Apple-based operating system [27]. In 2017, nearly a third of the Canadian adults used m Health apps to monitor their health [28]. Importantly, increased use of health apps has been shown to have a significant correlation with improved health behaviors [29].

James Benoit, Lisa Hartling, Michelle Chan, Shannon Scott

J Med Internet Res 2021;23(10):e29441


Evaluating Apple Inc Mobility Trend Data Related to the COVID-19 Outbreak in Japan: Statistical Analysis

Evaluating Apple Inc Mobility Trend Data Related to the COVID-19 Outbreak in Japan: Statistical Analysis

This data is generated by counting the number of requests made to Apple Maps for directions in select countries/regions, sub-regions, and cities. For privcy protection, data that is sent from users’ devices to the Apple Maps service is associated with random, rotating identifiers; thus Apple claims to not have a profile of the movements and searches of individual users. Using trip information provided by Apple, we examined various associations and estimated the effective reproduction number R(t).

Junko Kurita, Yoshiyuki Sugishita, Tamie Sugawara, Yasushi Ohkusa

JMIR Public Health Surveill 2021;7(2):e20335