ReviewCurrent atherosclerosis reports2017
Using Mobile Health (mHealth) Technology in the Management of Diabetes Mellitus, Physical Inactivity, and Smoking.
Review in Current atherosclerosis reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04572022 (Impact of Mobile Health Technology Application on Proximal Humerus Fracture Care Practice and Patient Self-Care Outcomes - A Pilot Randomized Controlled Trial), which is not on this map. Cited by 12 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Impact of Mobile Health Technology Application on Proximal Humerus Fracture Care Practice and Patient Self-Care Outcomes - A Pilot Randomized Controlled Trial
Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.
- Digital management of diabetes global research trends: a bibliometric study.Frontiers in medicine · 2025Pooled it
- Effects of Mobile Health Including Wearable Activity Trackers to Increase Physical Activity Outcomes Among Healthy Children and Adolescents: Systematic Review.JMIR mHealth and uHealth · 2019Pooled it
- Exercise intervention for rumination: from neural mechanisms to clinical applications.Frontiers in psychology · 2026Review
- Managing Diabetes One Step at a Time in Low- and Middle-Income Countries: The Promise of Wearable Devices.Chronic diseases and translational medicine · 2025Article
- Users' Perceptions Toward mHealth Technologies for Health and Well-being Monitoring in Pregnancy Care: Qualitative Interview Study.JMIR formative research · 2021Article
- Cardiac Rehab in the COVID Era and Beyond: mHealth and Other Novel Opportunities.Current cardiology reports · 2021Review
- A Short-Term Effect of Wearable Technology-Based Lifestyle Intervention on Body Composition in Stage I-III Postoperative Breast Cancer Survivors.Frontiers in oncology · 2020Article
- Wearable Health Technology and Electronic Health Record Integration: Scoping Review and Future Directions.JMIR mHealth and uHealth · 2019Article
- Telemedicine in Neurological Disorders: Opportunities and Challenges.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2019Review
- mActive-Smoke: A Prospective Observational Study Using Mobile Health Tools to Assess the Association of Physical Activity With Smoking Urges.JMIR mHealth and uHealth · 2018Article
- The Usability and Effectiveness of Mobile Health Technology-Based Lifestyle and Medical Intervention Apps Supporting Health Care During Pregnancy: Systematic Review.JMIR mHealth and uHealth · 2018Review
- Physical Activity, Sedentary Behavior, and Diet-Related eHealth and mHealth Research: Bibliometric Analysis.Journal of medical Internet research · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewCardiovascular mortality remains high due to insufficient progress made in managing cardiovascular risk factors such as diabetes mellitus, physical inactivity, and smoking. Healthy lifestyle choices play an important role in the management of these modifiable risk factors. Mobile health or mHealth is defined as the use of mobile computing and communication technologies (i.e., mobile phones, wearable sensors) for the delivery of health services and health-related information. In this review, we examine some recent studies that utilized mHealth tools to improve management of these risk factors, with examples from developing countries where available. RECENT
findingsThe mHealth intervention used depends on the availability of resources. While developing countries are often restricted to text messages, more resourceful settings are shifting towards mobile phone applications and wearable technology. Diabetes mellitus has been extensively studied in different settings, and results have been encouraging. Tools utilized to increase physical activity are expensive, and studies have been limited to resource-abundant areas and have shown mixed results. Smoking cessation has had promising initial results with the use of technology, but mHealth's ability to recruit participants beyond those actively seeking to quit has not been established. mHealth interventions appear to be a potential tool in improving control of cardiovascular risk factors that rely on individuals making healthy lifestyle choices. Data related to clinical impact, if any, of commercially available tools is lacking. More studies are needed to assess interventions that target multiple cardiovascular risk factors and their impact on hard cardiovascular outcomes.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.