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Skip search results from other journals and go to results- 298 JMIR mHealth and uHealth
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Passive data is sourced from the user’s smartphone and smartwatch. Smartphone data contain phone usage patterns (eg, screen time per app), revealing a user’s digital footprint. Additionally, smartphones include a multitude of sensors (eg, accelerometers, GPS location sensors, and light and proximity sensors), providing detailed measurements about users’ daily life and their environment.
JMIR Mhealth Uhealth 2025;13:e67141
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AR as a tool to encourage physical activity in children is attractive due to its easy access and portability, being predominantly used on a smart device (eg, smartphone or tablet) already owned by many families, and its ability for use in both indoor and outdoor environments.
JMIR Pediatr Parent 2025;8:e75302
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Previous perinatal digital phenotyping studies, such as the Mom2 B study [2] and the Postpartum Mothers Mobile Study [3], have shown the feasibility of smartphone-based prediction of outcomes, EMA for post partum and breastfeeding, and mobile tracking of maternal health. Although the Mom2 B study relied primarily on smartphone data, our protocol extends this work by integrating synchronized wearable data and multiple app-based platforms.
JMIR Res Protoc 2025;14:e77175
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Briefly, CT-155 was developed as a smartphone-based DTx that provides aspects of psychosocial intervention techniques adjunctive to standard-of-care antipsychotic medication to treat negative symptoms of schizophrenia [74,81]. CT-155 was granted Breakthrough Device designation in December 2023 [82]. Here, we discuss the rationale and study design for the CONVOKE study, which refers to study protocol version 5.0 (dated September 2024).
JMIR Res Protoc 2025;14:e81293
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The aims of this feasibility and efficacy study were to assess the acceptability and feasibility of a semiguided, smartphone-based, serious gaming app administered as an add-on to conventional treatment among patients with AUD. As secondary objectives, we wanted to explore whether the training program could show improvements in cognitive performance and if potential benefits on alcohol consumption and craving could be observed.
JMIR Ment Health 2025;12:e67167
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In practice, there has been a surge in the use of commercially available mindfulness-based smartphone apps as alternatives to formal interventions.
JMIR Form Res 2025;9:e67366
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Smartphones have wide reach and integration into young adults’ lives (98% own a smartphone) [9]. These devices offer great opportunities to deliver cessation interventions by delivering messages suggesting coping strategies “in the moment” when smokers need cessation support. However, few cessation apps deliver evidence-based intervention content [10,11] and content tailored to individual needs [12-14].
JMIR Res Protoc 2025;14:e74388
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The results show that smartphone sensors are valid and reliable in capturing St S [9], timed up and go [10], and postural balance [11,12]. The smartphone sensors have been shown to be sensitive enough to differentiate St S activity in frail versus physically active older adults [13]. However, there is limited knowledge around the practicalities of older adults using smartphones to record their functional assessments in an unsupervised environment on a regular basis.
JMIR Rehabil Assist Technol 2025;12:e72511
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Multimedia Appendix 2 exemplifies a complete smartphone procedure of the AR of the SMSI.
Structure of the Salzburg Mobile Stress Induction tests and assessment procedure. Feedback is the concluding feedback questions on the completed test.
J Med Internet Res 2025;27:e75785
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