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Smartphone Apps and Wearables for Health Parameters in Young Adulthood: Cross-Sectional Study
For evaluating the main variables monitored through mobile apps and wearables, the variables were divided into specific areas of interest (ie, PA, diet, and mental health) and aggregated into categories based on their similarities.
JMIR Hum Factors 2025;12:e64629
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Some focus areas were prespecified (blood glucose measurements, diet, activity, and smoking); however, participants could also add a focus area of their own. The participants were subsequently able to track progress related to this area; if the participant and HCP, for example, decided to focus on reducing smoking, the participant could subsequently track and monitor daily smoking habits.
JMIR Diabetes 2025;10:e63894
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Five subgroup analyses were conducted to explore potential factors influencing the effects of the apps, intervention content (single intervention [diet or PA] versus combined intervention [diet+PA]), theory presence (theory-based versus nontheory-based), intervention duration (short-term [≤3 months] versus medium-term [6 months] versus long-term [>6 months]), number of BCRs used (3 resources vs
Among these, the combined intervention demonstrated a greater effect size (MD=−1.82, 95% CI −2.48 to −1.16 kg) compared
JMIR Mhealth Uhealth 2025;13:e63313
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Poor diet quality, as well as other lifestyle factors, are significant modifiable risk factors for CVDs [2,3]. These risks can be mitigated through lifestyle changes, such as adopting a healthier diet, increasing physical activity, and reducing tobacco and alcohol use [4,5]. Embracing these habits is crucial for both preventing and managing CVD, as recommended in guidelines [6,7].
J Med Internet Res 2025;27:e75106
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Shopping Data for Population Health Surveillance: Opportunities, Challenges, and Future Directions
Addressing 4 primary modifiable risk factors—tobacco use, unhealthy diet, physical inactivity, and alcohol consumption—could prevent up to 80% of major NCDs [2]. However, monitoring these evolving risk factors at scale remains a major challenge in epidemiology.
J Med Internet Res 2025;27:e75720
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Currently, the management of many aspects of IBD, including mental health and diet, falls on the patients, requiring them to self-manage parts of their care [14]. This self-management of the several elements of IBD can be overwhelming and difficult for individuals, and can sometimes result in poor symptom control [15].
JMIR Res Protoc 2025;14:e65659
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Self-Determined Health App Evaluation Questionnaire Development: Mixed Methods Study
diet
JMIR Hum Factors 2025;12:e63739
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We conducted an extensive electronic search to identify all randomized controlled trials (RCTs) that reported outcomes measured by changes in behaviors in diet, physical activity, or tobacco smoking after the NLP chatbot–based intervention.
JMIR Mhealth Uhealth 2025;13:e66403
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To search the websites, this study used terms such as “pregnancy,” “pregnant women,” “diet,” and “nutrition.” Based on these searches, the top 20 Japanese sites were selected for quality evaluation. Studies show that most internet users review only the top 10 search results [15]. To capture broader content, we analyzed the top 20 websites likely accessed for pregnancy-related nutrition information. Searches were conducted in incognito mode with cookies cleared to minimize personalization effects.
JMIR Form Res 2025;9:e64630
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Currently, self-monitoring of diet, PA, and weight is considered one of the effective strategies in most weight loss interventions [24,25]. Although self-monitoring has been proven effective in both theory and practice, it often fails to provide immediate feedback on behavioral information such as diet and PA, which can lead to a decrease in compliance.
J Med Internet Res 2025;27:e65868
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