Trial reportJournal of medical Internet research2022
The Effect of a Future-Self Avatar Mobile Health Intervention (FutureMe) on Physical Activity and Food Purchases: Randomized Controlled Trial.
Trial report in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04505124 (The Effect of a Future-Self Avatar mHealth Intervention on Physical Activity and Nutrition), 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.
The Effect of a Future-Self Avatar mHealth Intervention on Physical Activity and Nutrition: the FutureMe Randomized Controlled Trial
Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.
- Mobile Apps to Improve Health Parameters in Healthy Adults: Systematic Review.JMIR mHealth and uHealth · 2026Pooled it
- Digital Behavior Change Intervention Designs for Habit Formation: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Digital twin-supported behavioral intention in mothers of young children to prevent childhood obesity: a large language model-based intervention study.Frontiers in artificial intelligence · 2026Article
- Supermarket Loyalty Card Data for Delivering and Evaluating Dietary Interventions: A Narrative Review.International journal of population data science · 2026Review
- Digital future-self interventions to promote physical activity: perspectives of minimally active middle-aged and older adults.Journal of imagery research in sport and physical activity · 2025Article
- 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
- Smartphone Apps for Food Purchase Choices: Scoping Review of Designs, Opportunities, and Challenges.Journal of medical Internet research · 2024Article
- Assessing household lifestyle exposures from consumer purchases, the My Purchases cohort.Scientific reports · 2023Article
- Predicting Unreported Micronutrients From Food Labels: Machine Learning Approach.Journal of medical Internet research · 2023Article
- Digital Solutions to Diagnose and Manage Postbariatric Hypoglycemia.Frontiers in nutrition · 2022Review
- Developing cue-behavior association for habit formation: A qualitative study to explore the role of avatar in hypertension.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInsufficient physical activity and unhealthy diets are contributing to the rise in noncommunicable diseases. Preventative mobile health (mHealth) interventions may help reverse this trend, but present bias might reduce their effectiveness. Future-self avatar interventions have resulted in behavior change in related fields, yet evidence of whether such interventions can change health behavior is lacking.
objectiveWe aimed to investigate the impact of a future-self avatar mHealth intervention on physical activity and food purchasing behavior and examine the feasibility of a novel automated nutrition tracking system. We also aimed to understand how this intervention impacts related attitudinal and motivational constructs.
methodsWe conducted a 12-week parallel randomized controlled trial (RCT), followed by semistructured interviews. German-speaking smartphone users aged ≥18 years living in Switzerland and using at least one of the two leading Swiss grocery loyalty cards, were recruited for the trial. Data were collected from November 2020 to April 2021. The intervention group received the FutureMe intervention, a physical activity and food purchase tracking mobile phone app that uses a future-self avatar as the primary interface and provides participants with personalized food basket analysis and shopping tips. The control group received a conventional text- and graphic-based primary interface intervention. We pioneered a novel system to track nutrition by leveraging digital receipts from loyalty card data and analyzing food purchases in a fully automated way. Data were consolidated in 4-week intervals, and nonparametric tests were conducted to test for within- and between-group differences.
resultsWe recruited 167 participants, and 95 eligible participants were randomized into either the intervention (n=42) or control group (n=53). The median age was 44 years (IQR 19), and the gender ratio was balanced (female 52/95, 55%). Attrition was unexpectedly high with only 30 participants completing the intervention, negatively impacting the statistical power. The FutureMe intervention led to small statistically insignificant increases in physical activity (median +242 steps/day) and small insignificant improvements in the nutritional quality of food purchases (median -1.28 British Food Standards Agency Nutrient Profiling System Dietary Index points) at the end of the intervention. Intrinsic motivation significantly increased (P=.03) in the FutureMe group, but decreased in the control group. Outcome expectancy directionally increased in the FutureMe group, but decreased in the control group. Leveraging loyalty card data to track the nutritional quality of food purchases was found to be a feasible and accepted fully automated nutrition tracking system.
conclusionsPreventative future-self avatar mHealth interventions promise to encourage improvements in physical activity and food purchasing behavior in healthy population groups. A full-powered RCT is needed to confirm this preliminary evidence and to investigate how future-self avatars might be modified to reduce attrition, overcome present bias, and promote sustainable behavior change.
trial registrationClinicalTrials.gov NCT04505124; https://clinicaltrials.gov/ct2/show/NCT04505124.
Indexed as
Identifiers
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.