ArticleSensors (Basel, Switzerland)2017
Active2Gether: A Personalized m-Health Intervention to Encourage Physical Activity.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Digital Interventions on Healthy Lifestyle Management: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Smartphone-Based Interventions to Reduce Sedentary Behavior and Promote Physical Activity Using Integrated Dynamic Models: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Trends in Persuasive Technologies for Physical Activity and Sedentary Behavior: A Systematic Review.Frontiers in artificial intelligence · 2020Pooled it
- A randomized controlled trial study of the acceptability, feasibility, and preliminary impact of SITA (SMS as an Incentive To Adhere): a mobile technology-based intervention informed by behavioral economics to improve ART adherence among youth in Uganda.BMC infectious diseases · 2020Trial
- The Evolution of Machine Learning Algorithms and Their Contribution to Physical Activity Management.Advances in experimental medicine and biology · 2026Review
- Navigating the design of simulated exercising peers: insights from a participatory design study.Frontiers in digital health · 2025Article
- Segment-Based Unsupervised Learning Method in Sensor-Based Human Activity Recognition.Sensors (Basel, Switzerland) · 2023Article
- Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample.JMIR diabetes · 2023Article
- SNapp, a Tailored Smartphone App Intervention to Promote Walking in Adults of Low Socioeconomic Position: Development and Qualitative Pilot Study.JMIR formative research · 2023Article
- Interactive communication in the process of physical education: are social media contributing to the improvement of physical training performance.Universal access in the information society · 2022Article
- Lessons learned from a mobile technology-based intervention informed by behavioral economics to improve ART adherence among youth in Uganda.AIDS care · 2020Article
- The Use and Effects of an App-Based Physical Activity Intervention "Active2Gether" in Young Adults: Quasi-Experimental Trial.JMIR formative research · 2020Article
- User Models for Personalized Physical Activity Interventions: Scoping Review.JMIR mHealth and uHealth · 2019Article
- Using a Mobile Social Networking App to Promote Physical Activity: A Qualitative Study of Users' Perspectives.Journal of medical Internet research · 2018Article
- App-Based Intervention Combining Evidence-Based Behavior Change Techniques With a Model-Based Reasoning System to Promote Physical Activity Among Young Adults (Active2Gether): Descriptive Study of the Development and Content.JMIR research protocols · 2018Article
- Smart Sensing Technologies for Personalised e-Coaching.Sensors (Basel, Switzerland) · 2018Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lack of physical activity is an increasingly important health risk. Modern mobile technology, such as smartphones and digital measurement devices, provides new opportunities to tackle physical inactivity. This paper describes the design of a system that aims to encourage young adults to be more physically active. The system monitors the user's behavior, uses social comparison and provides tailored and personalized feedback based on intelligent reasoning mechanisms. As the name suggests, social processes play an important role in the Active2Gether system. The design choices and functioning of the system are described in detail. Based on the experiences with the development and deployment of the system, a number of lessons learnt are provided and suggestions are proposed for improvements in future developments.
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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.