e.g. mhealth
Search Results (1 to 10 of 137 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 40 Journal of Medical Internet Research
- 30 JMIR mHealth and uHealth
- 23 JMIR Formative Research
- 19 JMIR Research Protocols
- 6 JMIR Public Health and Surveillance
- 3 JMIR Diabetes
- 3 JMIR Human Factors
- 2 JMIR Cancer
- 2 JMIR Cardio
- 2 JMIR Mental Health
- 1 Interactive Journal of Medical Research
- 1 JMIR Aging
- 1 JMIR Biomedical Engineering
- 1 JMIR Dermatology
- 1 JMIR Infodemiology
- 1 JMIR Medical Informatics
- 1 JMIR Pediatrics and Parenting
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Serious Games
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Medical Education
- 0 JMIR Challenges
- 0 JMIR Data
- 0 Journal of Participatory Medicine
- 0 JMIR Perioperative Medicine
- 0 JMIR Nursing
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR AI
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 Online Journal of Public Health Informatics
- 0 JMIR XR and Spatial Computing (JMXR)
The GBD currently provides comprehensive estimates of lifestyle risks, such as diet, for a range of physical conditions, but has yet to incorporate estimates of these lifestyle risks for CMDs.
JMIR Res Protoc 2025;14:e65576
Download Citation: END BibTex RIS
Many couples undergoing fertility treatment have multiple lifestyle risk factors, such as obesity, unbalanced nutritional habits, low physical activity, and alcohol consumption or smoking. These habits not only increase the risk of cardiovascular and metabolic diseases but also reduce the chance of becoming pregnant [1-4]. Reducing any or all of these lifestyle factors before pregnancy or assisted reproductive technology treatment can improve reproductive health [5-9].
JMIR Form Res 2025;9:e64239
Download Citation: END BibTex RIS
Together, these lifestyle factors form a quartet of behaviors that significantly impact global health, underscoring the need for effective interventions and public health strategies. Observation of daily living research emphasizes the importance of individual’s understanding of their everyday activities and their impact on their health [9].
J Med Internet Res 2025;27:e56251
Download Citation: END BibTex RIS
Data will be collected on the respondent’s health and lifestyle profile. We will use the WHO STEPwise approach to noncommunicable diseases risk factor surveillance questionnaire. It is a simple, standardized method for collecting, analyzing, and disseminating data on key noncommunicable disease risk factors in countries.
JMIR Res Protoc 2025;14:e41169
Download Citation: END BibTex RIS
Despite rapid advancements in the m Health research field, only a few studies have investigated whether app use can support adherence to lifestyle changes after completing CR. Duscha and colleagues [8] conducted a randomized controlled trial to evaluate the impact of an m Health intervention, including an app, on exercise capacity (peak oxygen uptake [VO2peak]) after CR [8]. Among 32 patients randomized, they observed a significant increase in absolute VO2peak at the 12-week follow-up.
J Med Internet Res 2025;27:e60256
Download Citation: END BibTex RIS
However, there are also concerns about the side effects of immunotherapy and potential disruptions to patients’ lifestyle. These themes may offer valuable insights into the facilitators and barriers to the adoption of immunotherapy.
J Med Internet Res 2025;27:e60948
Download Citation: END BibTex RIS
There is nothing about lifestyle, nothing about counseling the [social] surroundings, nothing with alternative therapeutic options, what is still possible. You get your pills prescribed and that was that.
When asked about the most promising factors to be targeted for reducing dementia risk, GPs named social, cognitive, and physical activity.
JMIR Form Res 2025;9:e56310
Download Citation: END BibTex RIS
Therefore, the daily number of COVID-19 confirmed cases has become a significant barometer for guiding policies and lifestyle changes during the post–COVID-19 era.
Numerous attempts have been made across several countries to forecast the number of confirmed COVID-19 cases using machine learning techniques [1-12].
J Med Internet Res 2024;26:e63476
Download Citation: END BibTex RIS
Reference 19: Systematic review and meta-analysis of the effectiveness of chatbots on lifestyle behaviourslifestyle
JMIR Infodemiology 2024;4:e57748
Download Citation: END BibTex RIS
Developing a Weight-Neutral Health Intervention in Denmark: Protocol for a Co-Design Process
In Denmark, health authorities promote weight loss through lifestyle changes for individuals with a BMI>30 kg/m2 and encourage municipal health units to offer weight loss programs to these citizens [1]. Weight loss recommendations in the US begin at a BMI of 25 kg/m2 depending on the presence of co-morbidities [2,3]. However, systematic evaluations find that lifestyle interventions for weight loss are generally ineffective in achieving clinically meaningful long-term reductions in body weight [4-6].
JMIR Public Health Surveill 2024;10:e59455
Download Citation: END BibTex RIS