Trial reportInternational journal of environmental research and public health2022
An-m-Health Intervention Using Smartphone App to Improve Physical Activity in College Students: A Randomized Controlled Trial.
Trial report in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07732569 (A Pilot Randomized Controlled Trial of the Digital Twin-Supported Live Long, Heart Strong Digital Nutrition Intervention to Promote Cardiovascular Health Behaviors Among Emerging Adults), which is not on this map. Cited by 20 papers, 7 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.
A Pilot Randomized Controlled Trial of the Digital Twin-Supported Live Long, Heart Strong Digital Nutrition Intervention to Promote Cardiovascular Health Behaviors Among Emerging Adults
Who cites it
20 citing papers in PubMed, 7 syntheses or guidelines pooled it, 42 citations in OpenAlex.
- Effect of Digital Health Interventions on College Students' Lifestyle Behaviors: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Mobile Apps to Improve Health Parameters in Healthy Adults: Systematic Review.JMIR mHealth and uHealth · 2026Pooled it
- Physical activity measurement tools among college students in intervention studies: A systematic review.PloS one · 2025Pooled it
- Effectiveness of Digital Health Interventions in Promoting Physical Activity Among College Students: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2024Pooled it
- Effect of Physical Exercise Programs Based on Mobile Health and Ecological Momentary Assessment on the Physical and Mental Health, Cognitive Functions, and Social Environment of Adults in Developing Countries: A Systematic Review.Medicina (Kaunas, Lithuania) · 2024Pooled it
- Pooled it
- The Effectiveness of E-Health Interventions Promoting Physical Activity and Reducing Sedentary Behavior in College Students: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.International journal of environmental research and public health · 2022Pooled it
- A randomized controlled trial of the effectiveness of the mHealth program in improving the lifestyle of nursing students.Scientific reports · 2025Trial
- The role of smartphone-based functional metrics in pain medicine.Interventional pain medicine · 2026Article
- Exploring Common and Novel Actualized Affordances of Fitbit: Mixed Methods Study.JMIR human factors · 2026Article
- Incentivized walking improves chronic disease indicators: a short-term field intervention among an occupational population in Southeast China.Frontiers in public health · 2026Article
- Effects of a Walking-Based Physical Activity Intervention on Health Indicators in University Students: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2025Article
- Smartphone Apps and Wearables for Health Parameters in Young Adulthood: Cross-Sectional Study.JMIR human factors · 2025Article
- User Experience With a Personalized mHealth Service for Physical Activity Promotion in University Students: Mixed Methods Study.JMIR formative research · 2025Article
- Effects of gamified versus pedometer-based walking intervention on physical activity, fatigue, and sleep quality among hemodialysis patients: a quasi-experimental study.BMC nephrology · 2025Article
- Assessing and Enhancing Nutrition and Physical Activity Environments in Early Childhood Education and Care Centers: Scoping Review of eHealth Tools.JMIR pediatrics and parenting · 2025Review
- A cross-sectional study on the correlation between exercise frequency and mental health among university students based on international physical activity questionnaire-short form classification: evidence from undergraduate students aged 18-22.Frontiers in psychology · 2025Article
- Reliability and Validity of the Health-Promoting Lifestyle Profile II Spanish Version in University Students.Healthcare (Basel, Switzerland) · 2024Article
- A Study of the Ping An Health App Based on User Reviews with Sentiment Analysis.International journal of environmental research and public health · 2023Article
- Ratings and experiences in using a mobile application to increase physical activity among university students: implications for future design.Universal access in the information society · 2023Article
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 at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Using m-Health apps can provide researchers and others with an effective way for improving physical activity (PA) and healthy lifestyle behaviors. The promotion of health should move from a model focused on the physical and biological basis of illness and towards a focus on the behavioral changes that support health. Therefore, the aims of the current study were to improve PA (step-counts) and body weight using a theory-based m-Health app. A 12-week randomized treatment trial was carried out at Texas A&M University, Texas, college station. College students (n = 130) were recruited. They were randomized in an equal ratio of 1:1 to intervention (m-Health app) (n = 65) and control (n = 65) conditions. The response rate was (87.6%). Both groups utilized a Smartphone app. The intervention group received PA goals of (10,000 steps/day), using an m-Health app. The control group was provided with information related to daily recommended PA levels. The primary change was daily step count between the baseline and follow-up. The secondary outcome was the body mass index (BMI). Descriptive statistics were used to summarize the baseline differences between the control and intervention groups. Independent sample t-test were used for comparison between the intervention and control groups. Post-intervention PAs were higher for the intervention group (mean = 54,896.) vs. control group (mean = 45,530.12; p < 0.05). The intervention group’s step-counts increased significantly (pre-mean = 40,320.38 steps per week; post-mean = 54,896.27 steps per week, p < 0.05). The body-weight changes were significant among the intervention group (p < 0.05). m-Health apps can increase PA and improve body weight, with goal setting and feedback as key intervention components. Future studies should personalize PA goals 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.