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Skip search results from other journals and go to results- 62 Journal of Medical Internet Research
- 24 JMIR mHealth and uHealth
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The enrollment process is shown in Figure S1 in Multimedia Appendix 1. The mean (SD) participant age was 44.22 (11.26) years for 6467 men and 21,950 women. The baseline characteristics according to the aging of the study participants are shown in Table S1 in Multimedia Appendix 2. There were 1005 participants who were more than 65 years old and 27,412 who were 65 years old or less. Figure S2 in Multimedia Appendix 1 shows the chronological age distribution for the respective genders.
JMIR Aging 2025;8:e64473
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Acute kidney injury (AKI) represents a critical challenge in postoperative care, significantly affecting patient outcomes and health care systems. It is a common complication that affects up to 5% to 7.5% of all hospitalized patients, with a markedly higher prevalence of 20% in intensive care units [1]. Among all AKI in hospitalized patients, 40% occur in postoperative patients [1].
J Med Internet Res 2025;27:e62853
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At the same time, commercial smartphone apps have many limitations in research, especially in collecting physical activity data over a sufficient period [16]. Consequently, the practical application of the research results to patients with cancer in the real world is limited, although e Health tools can provide a potent resource to facilitate personalized and accessible care in daily life [11,12].
J Med Internet Res 2025;27:e52694
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The description of the web-based app use is summarized in Figure 2, and an example of the screenshot is provided in Figure S3 in Multimedia Appendix 1.
Summary of web-based app use. The user can predict whether the area under the curve over 24 hours to minimum inhibitory concentration (AUC24/MIC) of the initial vancomycin dosage they plan to administer falls within the therapeutic range.
J Med Internet Res 2025;27:e63983
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Starting at 119.80 minutes per day (m/d; 95% CI 118.63-120.98) in 2008-2009, it temporarily decreased to 99.64 m/d (95% CI 98.45-100.83) in 2012-2013, then increased to 165.68 m/d (95% CI 163.27-168.08) in 2016-2017, and finally reached 306.80 m/d (95% CI 304.30-309.30) in 2020-2022, reflecting a sharp increase during the pandemic.
Trends in weighted screen time among adolescents in South Korea by family type, 2008-2022.
JMIR Public Health Surveill 2025;11:e57962
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The practice of “regular walking” was defined based on a survey as engaging in walking for at least 10 minutes consecutively for 5 or more days in the past week. If individuals who did not practice “regular walking” before participating in the program started practicing it afterward, it was considered an improvement in “regular walking.”
JMIR Mhealth Uhealth 2025;13:e64527
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The study was conducted in 2 geographically adjacent areas, each under the jurisdiction of different local fire departments: the northwest region of Seoul (region 1) and Goyang City in Gyeonggi-do (region 2). The demographic characteristics and the composition of the EMS in these 2 regions are detailed in Table 1. A total of 5 fire stations and 9 EDs participated in this study.
J Med Internet Res 2025;27:e58177
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Among 14 patients in group 1, a total of 10 were male and 4 were female, while 8 were male and 6 were female in group 2. In group 1, the upper ureter stone was the most common (5/14, 36%), and in group 2, the distal ureter stone was the most common location of urinary stone (7/14, 50%). Mean stone size was 5.12 mm in group 1 and 6.26 mm in group 2, but grade-1 hydronephrosis was the most common in both groups (11/14, 79% and 12/14, 86%, respectively).
J Med Internet Res 2025;27:e56039
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In the field of psychiatry, chatbots have provided useful information in response to user questions [2] and have shown tangible therapeutic effects through psychological therapies, such as cognitive behavioral therapy [3,4]. Various studies have highlighted the potential of chatbots as an effective medium for digital self-help.
J Med Internet Res 2025;27:e65589
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A statistically significant difference was found in the total digital literacy score (F5=18.076; P
The analysis of differences across subfactors by age group is as follows. In the digital application subfactor, individuals in their 20s scored higher than those in their 40s, 50s, and 60s. Individuals in their 30s also scored significantly higher than those in their 50s and 60s, whereas those in their 40s scored higher than those in their 60s.
J Med Internet Res 2025;27:e55828
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