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Assessing the Feasibility and Acceptability of the Daybreak Drink Tracker: Prospective Observational Study

Assessing the Feasibility and Acceptability of the Daybreak Drink Tracker: Prospective Observational Study

The Drink Tracker feature was introduced into Daybreak in October 2023 to support members in setting goals and tracking their alcohol consumption over time. The overarching aim of this study is to assess the feasibility and acceptability of the Drink Tracker component of the Daybreak app.

Kathryn Fletcher, Dominique Robert-Hendren

JMIR Form Res 2024;8:e57403

High-Resolution Eye-Tracking System for Accurate Measurement of Short-Latency Ocular Following Responses: Development and Observational Study

High-Resolution Eye-Tracking System for Accurate Measurement of Short-Latency Ocular Following Responses: Development and Observational Study

In Figures 4 A and B, we plotted the results of these experiments, showing separately horizontal and vertical deviations measured with the 2 systems (coils on the abscissa in degrees, eye tracker on the ordinate in pixels) during the fixation and movement windows. Using a highly practiced subject with steady fixation has the advantage of evaluating the system under close to ideal conditions. We separately analyzed responses to upward (blue) and downward (orange) drifting stimuli.

Aleksandar Miladinović, Christian Quaia, Simone Kresevic, Miloš Ajčević, Laura Diplotti, Paola Michieletto, Agostino Accardo, Stefano Pensiero

JMIR Pediatr Parent 2024;7:e64353

Associations of Wearable Activity Tracker Use With Physical Activity and Health Outcomes in Patients With Cancer: Findings from a Population-Based Survey Study

Associations of Wearable Activity Tracker Use With Physical Activity and Health Outcomes in Patients With Cancer: Findings from a Population-Based Survey Study

Only 29% of participants reported wearable activity tracker use. Bivariate analyses showed wearable activity tracker use was significantly associated with younger age (P Characteristics of study population (design adjusted mean or proportion). a P-value compares older adults in different subgroups. b Not available. c National estimates based on complex survey design. Table 2 illustrates the associations between 2 types of physical activities and wearable activity tracker use.

Weijiao Zhou, Shaomei Shang, Youmin Cho

J Med Internet Res 2024;26:e51291

Smart Device Ownership and Use of Social Media, Wearable Trackers, and Health Apps Among Black Women With Hypertension in the United States: National Survey Study

Smart Device Ownership and Use of Social Media, Wearable Trackers, and Health Apps Among Black Women With Hypertension in the United States: National Survey Study

Nearly 9 in 10 (89.7%; SE 1.9%) US Black women with hypertension own a smartphone or tablet; 81.9% (SE 2.1%) used social media and 33% (SE 2.9%) used a wearable activity tracker in the past year. Of those who own smartphones or tablets, 58.7% (SE 4%) used a health or wellness app in the past year. Table 2 shows characteristics associated with smart device ownership and digital health use.

Jolaade Kalinowski, Sandesh Bhusal, Sherry L Pagoto, Robert Newton Jr, Molly E Waring

JMIR Cardio 2024;8:e59243

Real-World Accuracy of Wearable Activity Trackers for Detecting Medical Conditions: Systematic Review and Meta-Analysis

Real-World Accuracy of Wearable Activity Trackers for Detecting Medical Conditions: Systematic Review and Meta-Analysis

The inclusion criteria were developed using the population, exposure, outcomes, and study type criteria as follows: adult population (aged 18 years or older) in free-living conditions, that have not been recruited based on a specific health condition or diagnosis; use of a wearable activity tracker (eg, Fitbit, Apple Watch, or a research-grade accelerometer) for the detection of any disease or medical event (eg, atrial fibrillation, the onset of infectious disease, and falls).

Ben Singh, Sebastien Chastin, Aaron Miatke, Rachel Curtis, Dorothea Dumuid, Jacinta Brinsley, Ty Ferguson, Kimberley Szeto, Catherine Simpson, Emily Eglitis, Iris Willems, Carol Maher

JMIR Mhealth Uhealth 2024;12:e56972

Establishing a Consensus-Based Framework for the Use of Wearable Activity Trackers in Health Care: Delphi Study

Establishing a Consensus-Based Framework for the Use of Wearable Activity Trackers in Health Care: Delphi Study

WAT: wearable activity tracker; CFIR: Consolidated Framework for Implementation Research. Of the 44 participants who completed Round 1, 8 participants were health service managers, 24 participants were HCPs, and 17 participants were researchers (Table 1). All participants considered WATs to be useful in health care settings, predominantly for the purposes of monitoring patient activities (ie, PA, SB, and sleep), intervening in patient PA, and monitoring physiological parameters (ie, heart rate).

Kimberley Szeto, John Arnold, Erin Marie Horsfall, Madeline Sarro, Anthony Hewitt, Carol Maher

JMIR Mhealth Uhealth 2024;12:e55254

Assessing the Accuracy of Smartwatch-Based Estimation of Maximum Oxygen Uptake Using the Apple Watch Series 7: Validation Study

Assessing the Accuracy of Smartwatch-Based Estimation of Maximum Oxygen Uptake Using the Apple Watch Series 7: Validation Study

A recent survey shows that 21% of Americans already use a smartwatch or a fitness tracker such as the Garmin, Fitbit, or Apple Watch [12]. According to another recent survey, wearable technology has also been identified as the number one fitness trend in 2022 [13]. Prior investigations have already assessed the reliability and validity of various wearables, using heart rate (HR) as a metric for quantifying individual physiological exertion [14].

Polona Caserman, Sungsoo Yum, Stefan Göbel, Andreas Reif, Silke Matura

JMIR Biomed Eng 2024;9:e59459