ArticleJMIR mHealth and uHealth2016
The Empowering Role of Mobile Apps in Behavior Change Interventions: The Gray Matters Randomized Controlled Trial.
Article in JMIR mHealth and uHealth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02290912 (Gray Matters), which is not on this map. Cited by 28 papers, 1 of them a synthesis 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.
Gray Matters: Multi-domain Lifestyle Behavioral Alzheimer's Disease Prevention Randomized Controlled Trial
Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.
- Wearable Technology, Smart Home Systems, and Mobile Apps for the Self‑Management of Patient Outcomes in Dementia Care: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Development, implementation and evaluation of a smartphone application aimed to reduce sedentary time and increase physical activity among Indian sedentary office workers - findings from SMART-STEP trial.BMC public health · 2025Trial
- Testing the Effect of a Smartphone App on Hospital Admissions and Sedentary Behavior in Cardiac Rehabilitation Participants: ToDo-CR Randomized Controlled Trial.JMIR mHealth and uHealth · 2023Trial
- The Gray Matters App Targeting Health Behaviors Associated with Alzheimer's Risk: Improvements in Intrinsic Motivation and Impact on Diet Quality and Physical Activity.The journal of nutrition, health & aging · 2020Trial
- Mobile App for Improved Self-Management of Type 2 Diabetes: Multicenter Pragmatic Randomized Controlled Trial.JMIR mHealth and uHealth · 2019Trial
- Transtheoretical Model (TTM)-Based, TTM-Informed and TTM-Congruent Behaviour Change Interventions for Adults with Mild Cognitive Impairment and Dementia Risk: A Scoping Review.Healthcare (Basel, Switzerland) · 2026Review
- Mobile App Engagement and Pain Outcomes Among Primary Care Chronic Pain Patients Who Engage in Hazardous Drinking: A Pilot Study.Journal of clinical psychology in medical settings · 2026Article
- Investigating feature-engineered predictors for systolic blood pressure changes in an mHealth-based disease management program.Hypertension research : official journal of the Japanese Society of Hypertension · 2026Article
- Toward Digital Self-Monitoring of Mental Health in the General Population: Scoping Review of Existing Approaches to Self-Report Measurement.JMIR mental health · 2025Article
- Digital Tools for People Without an Alzheimer Disease or Dementia Diagnosis: Scoping Review.Journal of medical Internet research · 2025Article
- Toward a Smartphone-Based and Conversational Agent-Delivered Just-in-Time Adaptive Holistic Lifestyle Intervention for Older Adults Affected by Cognitive Decline: Two-Week Proof-of-Concept Study.JMIR formative research · 2025Article
- Effectiveness of holistic mobile health interventions on diet, and physical, and mental health outcomes: a systematic review and meta-analysis.EClinicalMedicine · 2023Article
- The emerging role of digital health in the management of asthma.Therapeutic advances in chronic disease · 2023Review
- Editorial: Digital strategies to reduce salt consumption.Frontiers in public health · 2023Article
- Measuring User Engagement with a Socially Connected, Gamified Health Promotion Mobile App.International journal of environmental research and public health · 2022Article
- Multi-domain computerized cognitive training for children with intellectual developmental disorder: A randomized controlled trial.Frontiers in psychology · 2022Article
- A Novel Mobile App ("CareFit") to Support Informal Caregivers to Undertake Regular Physical Activity From Home During and Beyond COVID-19 Restrictions: Co-design and Prototype Development Study.JMIR formative research · 2021Article
- Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years.JMIR mHealth and uHealth · 2021Article
- Patient-led identification and prioritization of exercise interventions for fatigue on dialysis: a workshop report.Clinical kidney journal · 2021Article
- User Engagement With Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review.JMIR cardio · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealth education and behavior change programs targeting specific risk factors have demonstrated their effectiveness in reducing the development of future diseases. Alzheimer disease (AD) shares many of the same risk factors, most of which can be addressed via behavior change. It is therefore theorized that a behavior change intervention targeting these risk factors would likely result in favorable rates of AD prevention.
objectiveThe objective of this study was to reduce the future risk of developing AD, while in the short term promoting vascular health, through behavior change.
methodsThe study was an interventional randomized controlled trial consisting of subjects who were randomly assigned into either treatment (n=102) or control group (n=42). Outcome measures included various blood-based biomarkers, anthropometric measures, and behaviors related to AD risk. The treatment group was provided with a bespoke "Gray Matters" mobile phone app designed to encourage and facilitate behavior change. The app presented evidence-based educational material relating to AD risk and prevention strategies, facilitated self-reporting of behaviors across 6 behavioral domains, and presented feedback on the user's performance, calculated from reported behaviors against recommended guidelines.
resultsThis paper explores the rationale for a mobile phone-led intervention and details the app's effect on behavior change and subsequent clinical outcomes. Via the app, the average participant submitted 7.3 (SD 3.2) behavioral logs/day (n=122,719). Analysis of these logs against primary outcome measures revealed that participants who improved their high-density lipoprotein cholesterol levels during the study duration answered a statistically significant higher number of questions per day (mean 8.30, SD 2.29) than those with no improvement (mean 6.52, SD 3.612), t97.74=-3.051, P=.003. Participants who decreased their body mass index (BMI) performed significantly better in attaining their recommended daily goals (mean 56.21 SD 30.4%) than those who increased their BMI (mean 40.12 SD 29.1%), t80 = -2.449, P=.017. In total, 69.2% (n=18) of those who achieved a mean performance percentage of 60% or higher, across all domains, reduced their BMI during the study, whereas 60.7% (n=34) who did not, increased their BMI. One-way analysis of variance of systolic blood pressure category changes showed a significant correlation between reported efforts to reduce stress and category change as a whole, P=.035. An exit survey highlighted that respondents (n=83) reported that the app motivated them to perform physical activity (85.4%) and make healthier food choices (87.5%).
conclusionsIn this study, the ubiquitous nature of the mobile phone excelled as a delivery platform for the intervention, enabling the dissemination of educational intervention material while simultaneously monitoring and encouraging positive behavior change, resulting in desirable clinical effects. Sustained effort to maintain the achieved behaviors is expected to mitigate future AD risk.
trial registrationClinicalTrails.gov NCT02290912; https://clinicaltrials.gov/ct2/show/NCT02290912 (Archived by WebCite at http://www.webcitation.org/6ictUEwnm).
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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.