ArticleJMIR mHealth and uHealth2019
Effects of Mobile Health Prompts on Self-Monitoring and Exercise Behaviors Following a Diabetes Prevention Program: Secondary Analysis From a Randomized Controlled Trial.
Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Mobile Apps to Improve Health Parameters in Healthy Adults: Systematic Review.JMIR mHealth and uHealth · 2026Pooled it
- Assessing the Effectiveness of Digital Health Behavior Strategies on Type 2 Diabetes Management: Systematic Review and Network Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Mobile Health Interventions and RCTs: Structured Taxonomy and Research Framework.Journal of medical systems · 2022Pooled it
- The Impact of Digital Self-Monitoring of Weight on Improving Diabetes Clinical Outcomes: Quasi-Randomized Study.Journal of medical Internet research · 2024Trial
- Engagement with a Web-Based Health Promotion Intervention among Vocational School Students: A Secondary User and Usage Analysis.International journal of environmental research and public health · 2020Trial
- Cardiorespiratory fitness and accelerometer-determined physical activity following one year of free-living high-intensity interval training and moderate-intensity continuous training: a randomized trial.The international journal of behavioral nutrition and physical activity · 2020Trial
- Digital Bioimpedance for Physical Activity Detection in Type-2 Diabetes: Quasi-Experimental Validation Study.JMIR diabetes · 2025Article
- Promotion of physical activity-related health competence using digital workplace-based health promotion: a pilot study for office workers.Frontiers in public health · 2025Article
- Health Locus of Control and Medical Behavioral Interventions: Systematic Review and Recommendations.Interactive journal of medical research · 2024Review
- Hourly step recommendations to achieve daily goals for working and older adults.Communications medicine · 2024Article
- Enhancing Behavioural Changes: A Narrative Review on the Effectiveness of a Multifactorial APP-Based Intervention Integrating Physical Activity.International journal of environmental research and public health · 2024Review
- Evaluating Wall-Mounted Prompts to Facilitate Physical Activity-Related Discussion between Individuals with Cancer and Oncology Health Care Providers: A Pre-post Survey Study.Physiotherapy Canada. Physiotherapie Canada · 2024Article
- Designing and Developing a Mobile App for Management and Treatment of Gestational Diabetes in Nepal: User-Centered Design Study.JMIR formative research · 2024Article
- The Effect of Periodic Email Prompts on Participant Engagement With a Behavior Change mHealth App: Longitudinal Study.JMIR mHealth and uHealth · 2023Article
- Combining Behavioral Economics-Based Incentives With the Anchoring Strategy: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2023Article
- Predictors for response to electronic patient-reported outcomes in routine care in patients with rheumatoid arthritis: a retrospective cohort study.Rheumatology international · 2023Article
- Developing Mobile Health Interventions With Implementation in Mind: Application of the Multiphase Optimization Strategy (MOST) Preparation Phase to Diabetes Prevention Programming.JMIR formative research · 2022Article
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- Perceptions of physical activity and technology enabled exercise interventions among people with advanced chronic kidney disease: a qualitative study.BMC nephrology · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundA number of mobile health (mHealth) apps exist that focus specifically on promoting exercise behavior. To increase user engagement, prompts, such as text messages, emails, or push notifications, are often used. To date, little research has been done to understand whether, and for how long, these prompts influence exercise behavior.
objectiveThis study aimed to assess the impact of prompts on mHealth self-monitoring and self-reported exercise in the days following a prompt and whether these effects differ based on exercise modality.
methodsOf the possible 99 adults at risk for developing type II diabetes who participated in a diabetes prevention program, 69 were included in this secondary analysis. Participants were randomly assigned to 1 of the following 2 exercise conditions: high-intensity interval training or moderate-intensity continuous training. In the year following a brief, community-based diabetes prevention program involving counseling and supervised exercise sessions, all participants self-monitored their daily exercise behaviors on an mHealth app in which they were sent personalized prompts at varying frequencies. mHealth self-monitoring and self-reported exercise data from the app were averaged over 1, 3, 5, and 7 days preceding and following a prompt and subsequently compared using t tests.
resultsIn the year following the diabetes prevention program, self-monitoring (t
conclusionsThis study provides preliminary evidence regarding the potential influence of prompts on mHealth self-monitoring and self-reported exercise and the duration for which prompts may be effective as exercise behavior change tools. Future studies should determine the optimal prompting frequency for influencing self-reported exercise behaviors. Optimizing prompt frequency can potentially reduce intervention costs and promote user engagement. Furthermore, it can encourage consumers to self-monitor using mHealth technology while ensuring prompts are sent when necessary and effective. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR2-10.2196/11226.
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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.