Trial reportBMC public health2015
Smartphone apps to improve fitness and increase physical activity among young people: protocol of the Apps for IMproving FITness (AIMFIT) randomized controlled trial.
Trial report in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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.
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, 2 syntheses or guidelines pooled it, 70 citations in OpenAlex.
- Digital Health Interventions to Promote Physical Activity Among Adolescents: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Effects of Mobile Health Including Wearable Activity Trackers to Increase Physical Activity Outcomes Among Healthy Children and Adolescents: Systematic Review.JMIR mHealth and uHealth · 2019Pooled it
- A mobile app-based intervention improves anthropometry, body composition and fitness, regardless of previous active-inactive status: a randomized controlled trial.Frontiers in public health · 2024Trial
- Apps for IMproving FITness and Increasing Physical Activity Among Young People: The AIMFIT Pragmatic Randomized Controlled Trial.Journal of medical Internet research · 2015Trial
- From Gym to App: integrating digital monitoring to enhance student engagement in physical education.Health psychology and behavioral medicine · 2026Article
- Feasibility of Mobile Health App-Based Home Aerobic Exercise for Physical Performance in Healthy Young Adults.Annals of rehabilitation medicine · 2024Article
- Just-In-Time Adaptive Intervention to Sit Less and Move More in People With Type 2 Diabetes: Protocol for a Microrandomized Trial.JMIR research protocols · 2023Article
- Physical Activity Surveillance in Children and Adolescents Using Smartphone Technology: Systematic Review.JMIR pediatrics and parenting · 2023Review
- Internet of things-Enabled technologies as an intervention for childhood obesity: A systematic review.PLOS digital health · 2022Article
- Design and Evaluation of a Just-in-Time Adaptive Intervention (JITAI) to Reduce Sedentary Behavior at Work: Experimental Study.JMIR formative research · 2022Article
- The impact of mobile phone fitness applications on the level of physical fitness and psychological well-being during covid-19: The case of university students.Journal of education and health promotion · 2022Article
- Predicting Physical Exercise Adherence in Fitness Apps Using a Deep Learning Approach.International journal of environmental research and public health · 2021Article
- The Promotion of Physical Activity and Health-Related Factors during Pandemic for Children and Adolescents: A Review Article.Iranian journal of public health · 2021Review
- Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years.JMIR mHealth and uHealth · 2021Article
- Eat, Train, Sleep-Retreat? Hormonal Interactions of Intermittent Fasting, Exercise and Circadian Rhythm.Biomolecules · 2021Review
- A Focus Group Study Among Inactive Adults Regarding the Perceptions of a Theory-Based Physical Activity App.Frontiers in public health · 2021Article
- "A good little tool to get to know yourself a bit better": a qualitative study on users' experiences of app-supported menstrual tracking in Europe.BMC public health · 2019Article
- Using the Unified Theory of Acceptance and Use of Technology (UTAUT) to Investigate the Intention to Use Physical Activity Apps: Cross-Sectional Survey.JMIR mHealth and uHealth · 2019Article
- Fit 4 surgery, a bespoke app with biofeedback delivers rehabilitation at home before and after elective lung resection.Journal of cardiothoracic surgery · 2019Article
- Use of smartphone applications to improve quality of bowel preparation for colonoscopy: a systematic review and meta-analysis.Endoscopy international open · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPhysical activity is a modifiable behavior related to many preventable non-communicable diseases. There is an age-related decline in physical activity levels in young people, which tracks into adulthood. Common interactive technologies such as smartphones, particularly employing immersive features, may enhance the appeal and delivery of interventions to increase levels of physical activity in young people. The primary aim of the Apps for IMproving FITness (AIMFIT) trial is to evaluate the effectiveness of two popular "off-the-shelf" smartphone apps for improving cardiorespiratory fitness in young people. METHODS/
designA three-arm, parallel, randomized controlled trial will be conducted in Auckland, New Zealand. Fifty-one eligible young people aged 14-17 years will be randomized to one of three conditions: 1) use of an immersive smartphone app, 2) use of a non-immersive app, or 3) usual behavior (control). Both smartphone apps consist of an eight-week training program designed to improve fitness and ability to run 5 km, however, the immersive app features a game-themed design and adds a narrative. Data are collected at baseline and 8 weeks. The primary outcome is cardiorespiratory fitness, assessed as time to complete the one mile run/walk test at 8 weeks. Secondary outcomes are physical activity levels, self-efficacy, enjoyment, psychological need satisfaction, and acceptability and usability of the apps. Analysis using intention to treat principles will be performed using regression models. DISCUSSION: Despite the proliferation of commercially available smartphone applications, there is a dearth of empirical evidence to support their effectiveness on the targeted health behavior. This pragmatic study will determine the effectiveness of two popular "off-the-shelf" apps as a stand-alone instrument for improving fitness and physical activity among young people. Adherence to app use will not be closely controlled; however, random allocation of participants, a heterogeneous group, and data analysis using intention to treat principles provide internal and external validity to the study. The primary outcome will be objectively assessed with a valid and reliable field-based test, as well as the secondary outcome of physical activity, via accelerometry. If effective, such applications could be used alongside existing interventions to promote fitness and physical activity in this population.
trial registrationAustralian New Zealand Clinical Trials Registry: ACTRN12613001030763. Registered 16 September 2013.
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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.