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Consumer Wearable Usage to Collect Health Data Among Adults Living in Germany: Nationwide Observational Survey Study

Consumer Wearable Usage to Collect Health Data Among Adults Living in Germany: Nationwide Observational Survey Study

Therefore, CWs can track vital parameters and behaviors, such as heart rate, physical activity (PA), or sleep [1]. The usage of CWs in the population has increased enormously within the last decade. In 2022, around 500 million of these devices were sold worldwide, which means that the sales increased by the factor 16 compared with 2014 [2]. In Germany, 7.2 million CWs were sold in 2022 [3].

Kristin Manz, Susanne Krug, Charlotte Kühnelt, Johannes Lemcke, Ilter Öztürk, Julika Loss

JMIR Mhealth Uhealth 2025;13:e59199

Smartphone Ecological Momentary Assessment and Wearable Activity Tracking in Pediatric Depression: Cohort Study

Smartphone Ecological Momentary Assessment and Wearable Activity Tracking in Pediatric Depression: Cohort Study

Data were collected on daily activity (number of steps) and sleep. Fitbit data were obtained via the Fitbit API, which provides preprocessed JSON files reflecting proprietary algorithms for step counting and sleep [50]. For sleep, each participant had one JSON file that spanned the duration of the study, which included a sleep log with timestamps for sleep onset and offset and a breakdown of sleep stages (eg, light, rapid eye movement [REM], deep).

Jimena Unzueta Saavedra, Emma A Deaso, Margot Austin, Laura Cadavid, Rachel Kraff, Emma E M Knowles

JMIR Form Res 2025;9:e66187

Impacts of the Mindfulness Meditation Mobile App Calm on Undergraduate Students’ Sleep and Emotional State: Pilot Randomized Controlled Trial

Impacts of the Mindfulness Meditation Mobile App Calm on Undergraduate Students’ Sleep and Emotional State: Pilot Randomized Controlled Trial

Poor sleep quality is another common observance among postsecondary students [16], with conditions such as delayed sleep phase syndrome being 50% more prevalent among postsecondary students compared to the general population [17]. A distinctive combination of social, work, and academic pressures renders this population particularly susceptible to poor sleep quality [18,19].

Tovan Lew, Natnaiel M Dubale, Erik Doose, Alex Adenuga, Holly E Bates, Sarah L West

JMIR Form Res 2025;9:e66131

Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments: Real-World Evaluation

Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments: Real-World Evaluation

Calls and screen use were event-based sensor streams, whereas location, heart rate, sleep, and steps were time series sensor streams. We sampled location coordinates at 1 sample per 10 minutes and heart rate, sleep, and steps at 1 sample per minute. Throughout the study duration, the mobile app alerted and directed participants 3 times a day to complete a brief EMA survey within the app.

Zongqi Xia, Prerna Chikersal, Shruthi Venkatesh, Elizabeth Walker, Anind K Dey, Mayank Goel

J Med Internet Res 2025;27:e70871

Longitudinal Remote Sleep and Cognitive Research in Older Adults With Mild Cognitive Impairment and Dementia: Prospective Feasibility Cohort Study

Longitudinal Remote Sleep and Cognitive Research in Older Adults With Mild Cognitive Impairment and Dementia: Prospective Feasibility Cohort Study

Sleep disturbances such as insomnia, fragmented sleep, daytime sleepiness, and sleep-disordered breathing are common features of Alzheimer disease (AD) and Lewy body disease (LBD) and often appear early in the disease course and before clinical diagnosis [1,2].

Victoria Grace Gabb, Jonathan Blackman, Hamish Morrison, Haoxuan Li, Adrian Kendrick, Nicholas Turner, Rosemary Greenwood, Bijetri Biswas, Amanda Heslegrave, Elizabeth Coulthard

JMIR Aging 2025;8:e72824

Evaluating the Acceptability and Utility of a Personalized Wellness App (Aspire2B) Using AI-Enabled Digital Biomarkers: Engagement Enhancement Pilot Study

Evaluating the Acceptability and Utility of a Personalized Wellness App (Aspire2B) Using AI-Enabled Digital Biomarkers: Engagement Enhancement Pilot Study

To further personalize the experience of Aspire2 B, participants were encouraged to answer more questions covering aspects like sleep quality, physical activity, and dietary intake, although these were not mandatory (refer to Optional Onboarding Questions section). From these responses, subjects were assigned to one of three challenges, that are (1) nutrition, (2) movement, (3) sleep based on set criteria (eg, those reporting poor sleep quality were placed in sleep challenge).

Calissa J Leslie-Miller, Shellen R Goltz, Pamela L Barrios, Christopher C Cushing, Teena Badshah, Corey T Ungaro, Shankang Qu, Yulia Berezhnaya, Tristin D Brisbois

JMIR Form Res 2025;9:e63471

Perceptions of the Use of Mobile Apps to Assess Sleep-Dependent Memory in Older Adults With Subjective and Objective Cognitive Impairment: Focus Group Approach

Perceptions of the Use of Mobile Apps to Assess Sleep-Dependent Memory in Older Adults With Subjective and Objective Cognitive Impairment: Focus Group Approach

In this study, poorer SDM was linked to having greater sleep apnea severity for older adults without MCI. In contrast, for those with MCI, poorer performance was associated with decreased sleep spindle duration and smaller hippocampal subfield size. As various age-related sleep changes occur both naturally [7] and with neurodegenerative diseases [8,9], it is crucial to understand how these alterations impact SDM.

Aaron Lam, Simone Simonetti, Angela D'Rozario, David Ireland, DanaKai Bradford, Jurgen Fripp, Sharon L Naismith

JMIR Aging 2025;8:e68147

Association Between Internet Use and Sleep Health Among Middle-Aged and Older Chinese Individuals: Nationwide Longitudinal Study

Association Between Internet Use and Sleep Health Among Middle-Aged and Older Chinese Individuals: Nationwide Longitudinal Study

Based on this, we hypothesize that internet use may be associated with a reduced risk of sleep problems, including poor sleep quality and abnormal sleep duration, in middle-aged and older adults. To test this hypothesis, we examined both cross-sectional and longitudinal associations between internet use or internet frequency and sleep quality, as well as between internet use or internet frequency and sleep duration.

Xueqin Li, Jin Liu, Ning Huang, Wanyu Zhao, Hongbo He

J Med Internet Res 2025;27:e71030

Effect of Continuous Positive Airway Pressure or Positional Therapy Compared to Control for Treatment of  Obstructive Sleep Apnea on the Development of Gestational Diabetes Mellitus in Pregnancy: Protocol for Feasibility Randomized Controlled Trial

Effect of Continuous Positive Airway Pressure or Positional Therapy Compared to Control for Treatment of Obstructive Sleep Apnea on the Development of Gestational Diabetes Mellitus in Pregnancy: Protocol for Feasibility Randomized Controlled Trial

Data collection will include demographic, clinical and physical details, sleep questionnaire responses, sleep study data, maternal pathology, fetal scans, birth details, maternal and fetal clinical outcomes, sleep therapy compliance, and therapy acceptance questionnaires. We used the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) checklist when writing our protocol [30], which can be found in Multimedia Appendix 3.

Frances Clements, Hima Vedam, Yewon Chung, John Smoleniec, Colin Sullivan, Renuka Shanmugalingam, Annemarie Hennessy, Angela Makris

JMIR Res Protoc 2025;14:e51434

Effects of Using a Smart Bassinet on the Mental Health of Military-Affiliated Pregnant Women: Protocol for a Randomized Controlled Sleep Health and Mood in Newly Expectant Military Mothers (SHINE) Trial

Effects of Using a Smart Bassinet on the Mental Health of Military-Affiliated Pregnant Women: Protocol for a Randomized Controlled Sleep Health and Mood in Newly Expectant Military Mothers (SHINE) Trial

Mothers who report poor infant sleep behavior have significantly more depressive symptoms than mothers who report good infant sleep [35-37]. There is some evidence that maternal sleep quality is a mediator of this relationship [35]. Persistent, rather than transient, infant sleep issues contribute to maternal depression, poor sleep, and poor family functioning well into toddlerhood [33,38,39].

Michele L Okun, Jennifer L Payne, Lauren M Osborne, Leilani Feliciano, Andrew Lac

JMIR Res Protoc 2025;14:e66439