ArticleJMIR mHealth and uHealth2016
An mHealth Intervention Using a Smartphone App to Increase Walking Behavior in Young Adults: A Pilot Study.
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. Cited by 50 papers, 13 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
50 citing papers in PubMed, 13 syntheses or guidelines pooled it, 114 citations in OpenAlex.
- Effect of Digital Health Interventions on College Students' Lifestyle Behaviors: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Digital Behavior Change Intervention Designs for Habit Formation: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Assessing the Pragmatic Nature of Mobile Health Interventions Promoting Physical Activity: Systematic Review and Meta-analysis.JMIR mHealth and uHealth · 2023Pooled it
- Usage of Mobile Applications or Mobile Health Technology to Improve Diet Quality in Adults.Nutrients · 2022Pooled it
- Effectiveness of physical activity monitors in adults: systematic review and meta-analysis.BMJ (Clinical research ed.) · 2022Pooled it
- Recruiting and retaining young adults: what can we learn from behavioural interventions targeting nutrition, physical activity and/or obesity? A systematic review of the literature.Public health nutrition · 2021Pooled it
- The effects of step-count monitoring interventions on physical activity: systematic review and meta-analysis of community-based randomised controlled trials in adults.The international journal of behavioral nutrition and physical activity · 2020Pooled it
- Pooled it
- Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review.JMIR mHealth and uHealth · 2020Pooled it
- A Comparison of Physical Activity Mobile Apps With and Without Existing Web-Based Social Networking Platforms: Systematic Review.Journal of medical Internet research · 2019Pooled it
- What is the role of smartphones on physical activity promotion? A systematic review and meta-analysis.International journal of public health · 2019Pooled it
- Just-in-Time Feedback in Diet and Physical Activity Interventions: Systematic Review and Practical Design Framework.Journal of medical Internet research · 2018Pooled it
- Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review.The international journal of behavioral nutrition and physical activity · 2016Pooled it
- Trial
- An-m-Health Intervention Using Smartphone App to Improve Physical Activity in College Students: A Randomized Controlled Trial.International journal of environmental research and public health · 2022Trial
- Examining the Impact of an mHealth Behavior Change Intervention With a Brief In-Person Component for Cancer Survivors With Overweight or Obesity: Randomized Controlled Trial.JMIR mHealth and uHealth · 2021Trial
- Acceptability of a Mobile Health Behavior Change Intervention for Cancer Survivors With Obesity or Overweight: Nested Mixed Methods Study Within a Randomized Controlled Trial.JMIR mHealth and uHealth · 2021Trial
- Effect of an mHealth Intervention Using a Pedometer App With Full In-Person Counseling on Body Composition of Overweight Adults: Randomized Controlled Weight Loss Trial.JMIR mHealth and uHealth · 2020Trial
- Trial
- Push Notifications From a Mobile App to Improve the Body Composition of Overweight or Obese Women: Randomized Controlled Trial.JMIR mHealth and uHealth · 2020Trial
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPhysical inactivity is a growing concern for society and is a risk factor for cardiovascular disease, obesity, and other chronic diseases.
objectiveThis study aimed to determine the efficacy of the Accupedo-Pro Pedometer mobile phone app intervention, with the goal of increasing daily step counts in young adults.
methodsMobile phone users (n=58) between 17-26 years of age were randomized to one of two conditions (experimental and control). Both groups downloaded an app that recorded their daily step counts. Baseline data were recorded and followed-up at 5 weeks. Both groups were given a daily walking goal of 30 minutes, but the experimental group participants were told the equivalent goal in steps taken, via feedback from the app. The primary outcome was daily step count between baseline and follow-up.
resultsA significant time x group interaction effect was observed for daily step counts (P=.04). Both the experimental (P<.001) and control group (P=.03) demonstrated a significant increase in daily step counts, with the experimental group walking an additional 2000 steps per day.
conclusionsThe results of this study demonstrate that a mobile phone app can significantly increase physical activity in a young adult sample by setting specific goals, using self-monitoring, and feedback.
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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.