Trial reportThe Journal of cardiovascular nursing
The use of mHealth to deliver tailored messages reduces reported energy and fat intake.
Trial report in The Journal of cardiovascular nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 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
36 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- eHealth interventions and patients with metabolic dysfunction-associated steatotic liver disease: a systematic review and meta-analysis.BMJ open gastroenterology · 2025Pooled it
- Impact of feedback generation and presentation on self-monitoring behaviors, dietary intake, physical activity, and weight: a systematic review and meta-analysis.The international journal of behavioral nutrition and physical activity · 2024Pooled it
- Effectiveness of eHealth Nutritional Interventions for Middle-Aged and Older Adults: Systematic Review and Meta-analysis.Journal of medical Internet research · 2021Pooled it
- Effectiveness of the Components of a Digital Multiple Health Behavior Change Intervention Among Individuals Seeking Help Online (Coach): Factorial Randomized Trial.Journal of medical Internet research · 2026Trial
- Effectiveness of a Hybrid Community-Based Heart-Healthy Lifestyle Intervention: Three-Arm Randomized Controlled Trial Integrating mHealth and Motivational Interviewing.JMIR mHealth and uHealth · 2026Trial
- A Real-Life Digital Intervention for Personalized Nutrition in Adults With Overweight or Obesity: Remote Randomized Controlled Trial.Journal of medical Internet research · 2026Trial
- The effect of an app-based dietary education on dietary intake and cardiometabolic risk markers in people with type 2 diabetes: results from a randomized controlled trial.Nutrition journal · 2025Trial
- Trial
- The Effect of Tailored, Daily, Smartphone Feedback to Lifestyle Self-Monitoring on Weight Loss at 12 Months: the SMARTER Randomized Clinical Trial.Journal of medical Internet research · 2022Trial
- Trial
- Lifestyle Intervention Enabled by Mobile Technology on Weight Loss in Patients With Nonalcoholic Fatty Liver Disease: Randomized Controlled Trial.JMIR mHealth and uHealth · 2020Trial
- A Dietary Feedback System for the Delivery of Consistent Personalized Dietary Advice in the Web-Based Multicenter Food4Me Study.Journal of medical Internet research · 2016Trial
- Evaluating Feasibility and Acceptability of the "My HeartHELP" Mobile App for Promoting Heart-Healthy Lifestyle Behaviors: Mixed Methods Study.JMIR formative research · 2025Article
- Clarifying the Concepts of Personalization and Tailoring of eHealth Technologies: Multimethod Qualitative Study.Journal of medical Internet research · 2024Article
- Effect of digital health applications with or without gamification on physical activity and cardiometabolic risk factors: a systematic review and meta-analysis of randomized controlled trials.EClinicalMedicine · 2024Article
- Article
- The use of internet-based smartphone apps consistently improved consumers' healthy eating behaviors: a systematic review of randomized controlled trials.Frontiers in digital health · 2024Review
- Article
- Using Popular Foods Consumed to Inform Development of Digital Tools for Dietary Assessment and Monitoring.Nutrients · 2022Article
- Operationalizing Engagement With an Interpretation Bias Smartphone App Intervention: Case Series.JMIR mental health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
backgroundEvidence supports the role of feedback in reinforcing motivation for behavior change. Feedback that provides reinforcement has the potential to increase dietary self-monitoring and enhance attainment of recommended dietary intake.
objectiveThe aim of this study was to examine the impact of daily feedback (DFB) messages, delivered remotely, on changes in dietary intake.
methodsThis was a secondary analysis of the Self- Monitoring And Recording using Technology (SMART) Trial, a single-center, 24-month randomized clinical trial of behavioral treatment for weight loss. Participants included 210 obese adults (mean body mass index, 34.0 kg/m²) who were randomized to either a paper diary (PD), personal digital assistant (PDA), or PDA plus daily tailored feedback messages (PDA + FB). To determine the role of daily tailored feedback in dietary intake, we compared the self-monitoring with DFB group (DFB group; n = 70) with the self-monitoring without DFB group (no-DFB group, n = 140). All participants received a standard behavioral intervention for weight loss. Self-reported changes in dietary intake were compared between the DFB and no-DFB groups and were measured at baseline and at 6, 12, 18, and 24 months. Linear mixed modeling was used to examine percentage changes in dietary intake from baseline.
resultsCompared with the no-DFB group, the DFB group achieved a larger reduction in energy (-22.8% vs -14.0%; P = .02) and saturated fat (-11.3% vs -0.5%; P = .03) intake and a trend toward a greater decrease in total fat intake (-10.4% vs -4.7%; P = .09). There were significant improvements over time in carbohydrate intake and total fat intake for both groups (P values < .05).
conclusionDaily tailored feedback messages designed to target energy and fat intake and delivered remotely in real time using mobile devices may play an important role in the reduction of energy and fat intake.
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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.