e.g. mhealth
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Skip search results from other journals and go to results- 293 JMIR mHealth and uHealth
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Recent literature lists plenty of passively collected smartphone data streams mostly used in a transformed manner for mental health monitoring.
Interact J Med Res 2025;14:e69686
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Enhanced intervention (n=237)
Standard intervention (n=233)
m Healthh (n=123)
Personal coaching (n=120)
Control (n=122)
Intervention (n=28)
Intervention (n=46)
Web-based (n=32)
Usual self-care (n=33)
Telematic intervention (n=91)
Nontelematic intervention (n=92)
Intensive counseling (n=18)
Smartphone only (n=17)
Intensive counseling+smartphone (n=16)
Less intensive counseling+smartphone (n=17)
Health advice+app (n=54)
Health advice (n=56)
Intervention (n=53)
Alive-PD intervention (n=163)
Usual care control (n
Interact J Med Res 2025;14:e73656
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Of the remaining 2 apps, one featured a smartphone-based relational agent that simulated face-to-face conversations and provided education regarding medication adherence [26] and the second app had educational video content, including on lifestyles and responsibilities of being a dialysis patient [35].
J Med Internet Res 2025;27:e60822
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We previously developed a smartphone-based self-monitoring application to deliver CBT (CBT app), implemented it in 217 healthy children, and reported its effectiveness for health promotion [28]. The CBT app was highly effective in terms of providing users with self-monitoring skills and reducing depressive symptoms.
JMIR Form Res 2025;9:e60943
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To address this gap, this study explores the plausibility of a smartphone-based and relational agent–delivered just-in-time adaptive holistic lifestyle intervention in older adults with SCD or MCI, guided by the following research questions (RQs): (RQ1) To what extent do older adults with SCD or MCI adhere to a smartphone-based, CA-delivered JITAI over a 2-week period? (RQ2) How do participants perceive the usability and acceptability of the intervention?
JMIR Form Res 2025;9:e66885
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Digital interventions, including smartphone apps, have emerged as promising solutions to overcome these challenges [5]. They offer evidence-based and cost-effective methods for delivering self-management solutions for people with LBP [4]. Digital health interventions can increase access to care, particularly in remote areas or for individuals with mobility limitations. They also offer the potential for personalized interventions tailored to individual needs and preferences [6].
JMIR Form Res 2025;9:e59777
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Therefore, we designed this study to explore smartphone usage among older adults in a Chinese village and designed a cross-sectional study to explore: (1) the effect of smartphone use on cognitive function in older adults; (2) the effects of smartphone use on sleep and mental health; (3) the effect of smartphone use on brain activity among older adults.
This study is a cross-sectional study, and the recruitment process was conducted as in the flowchart presented in Figure 1.
J Med Internet Res 2025;27:e63485
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Several studies on chronic pain have demonstrated the acceptability, feasibility, and usability of smartphone apps and wearables for remotely monitoring pain severity, disease activity, and associated factors such as sleep patterns, physical activity, mood, and weather conditions [1,3-5]. They have identified specific associations that influence fluctuations in pain severity.
JMIR Mhealth Uhealth 2025;13:e64889
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Specifically, m Health cessation interventions delivered through smartphones can reach a large population of individuals who smoke in the United States, as 90% of US adults own a smartphone [13]. Smartphone use is also prevalent across sociodemographic groups in the United States [13], which can help to deliver interventions to a diverse population and reduce smoking-related health disparities [14].
J Med Internet Res 2025;27:e67630
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