JMIR mHealth and uHealth

Cannabis use (CU) among young adults continues to be an important public health issue. Interventions to support lower-risk CU during young adulthood can improve health outcomes. Mobile applications constitute a promising mode of service delivery. However, there is a lack of evidence-based apps specifically developed for young adult cannabis users.

Excessive alcohol consumption among adolescents and young adults is a serious health problem. Dynamically tailored interventions could reduce their excessive drinking. We therefore developed “What Do You Drink” (WDYD), a 17-week dynamically tailored mHealth (mobile health) intervention providing personalized support on alcohol consumption.

Total knee replacement (TKR) is a common surgery for end-stage knee osteoarthritis. Although reductions in pain and improvements in mobility occur after surgery, physical activity levels often do not change. Given the challenges of increasing physical activity in this population, targeting reductions in sedentary behavior may be a first step; however, no prior studies have examined the feasibility and effects of a sedentary reduction intervention after TKR.

Consumers are increasingly moving away from the traditional 3-meal-a-day eating routine to a pattern where they are snacking throughout the day to fulfill dietary needs, a trend known as “snackification.” Snacking depends on a variety of product-, context-, and consumer-specific determinants, but consumers’ long-term snacking behaviors in light of these determinants have remained little studied.

Parental oral health education is critical for preventing early childhood caries. However, few interventions are theoretically grounded or use digital approaches.

Psychological stress poses a risk to mental and physical health and has become a major public health challenge. As physical behaviors (ie, physical activity, sedentary behavior (SB), and sleep) play a key role in mental well-being, their targeted modification could be an approach to coping with stress in everyday life. Previous studies have primarily either analyzed the associations between isolated physical behaviors and stress-related outcomes or employed cross-sectional designs. Accordingly, there is a need for deeper insights into the within- and between-person associations between physical behavior over a 24-hour cycle and psychological stress in naturalistic settings.

Dementia has an impact on the physical activities performed daily in a social context. Sleeping and resting, in general, are also affected by dementia. Monitoring techniques based on miniaturized wearable sensors and on sensorized environments allow for actigraphic recordings and location tracking. The availability of contemporaneous physical activities profile led to quantify, in the social actigraphy approach, the level of correlation between individuals living in the same environment.

Frailty is highly prevalent in survivors of multiple myeloma (MM) after autologous hematopoietic cell transplantation and is associated with poor functional recovery and adverse clinical outcomes. Although exercise is known to improve physical function, traditional center-based rehabilitation models are often inaccessible to this population during early posttransplant recovery. Mobile health (mHealth)–supported exercise may offer a scalable alternative; however, evidence in hematologic malignancies remains limited.

Previous research suggests that 14.4% of the general population is affected by tinnitus. For some of those affected, the ear noise is bothersome or associated with severe distress. There are various treatment options such as cognitive behavioral therapy (CBT), sound therapy, or hearing aids. In addition to browser-based online interventions, mobile apps have been introduced as novel treatment approaches. Previous studies have identified several apps aimed at supporting users with tinnitus. Yet, knowledge about the content of tinnitus apps is limited.

As digital health solutions gain traction, there is an urgent need for effective, person-centered stress management tools for employees. Advances in wearable stress monitoring and machine learning now enable the collection of high-resolution, real-time data and the delivery of personalized interventions with respect to both timing and content. Despite this technological progress, there remains a notable paucity of mobile health (mHealth) interventions that capitalize on these capabilities to implement just-in-time adaptive interventions (JITAIs).

Mobile health (mHealth) uses mobile technology as a tool for prevention and health promotion. Research indicates that user engagement is crucial for effective mHealth interventions and improved health outcomes. However, many studies report low adoption rates, rapid decline after initial use, and a lack of acknowledgment of user implications in achieving outcomes. Thus, conceptualizing participation in mHealth is essential to identify key determinants for engaging users.

Access to oral health promotion for older adults is globally limited, especially in rural, low- and middle-income settings. Digital research often lacks theoretical foundation and focuses primarily on younger cohorts, yielding few randomized trials evaluating accessible tools for oral health education in older adults.