Trial reportJournal of medical Internet research2015
The impact of a Web-based app (eBalance) in promoting healthy lifestyles: randomized controlled trial.
Trial report in Journal of medical Internet research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01913496 (Development of Internet Web Application and Evaluation of Its Impact as a Tool in Promoting Healthy Lifestyle Indicators in Adults), which is not on this map. Cited by 56 papers, 10 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.
Development of Internet Web Application and Evaluation of Its Impact as a Tool in Promoting Healthy Lifestyle Indicators in Adults
Who cites it
56 citing papers in PubMed, 10 syntheses or guidelines pooled it, 114 citations in OpenAlex.
- Mobile Apps to Improve Health Parameters in Healthy Adults: Systematic Review.JMIR mHealth and uHealth · 2026Pooled it
- Use of Information and Communication Technologies among Adults in Weight Control: Systematic Review and Meta-Analysis.Nutrients · 2022Pooled it
- mHealth Apps Using Behavior Change Techniques to Self-report Data: Systematic Review.JMIR mHealth and uHealth · 2022Pooled it
- Usage of Mobile Applications or Mobile Health Technology to Improve Diet Quality in Adults.Nutrients · 2022Pooled it
- Systematic review of context-aware digital behavior change interventions to improve health.Translational behavioral medicine · 2021Pooled it
- Using Mobile Applications to Increase Physical Activity: A Systematic Review.International journal of environmental research and public health · 2020Pooled it
- Assessment of the Efficacy, Safety, and Effectiveness of Weight Control and Obesity Management Mobile Health Interventions: Systematic Review.JMIR mHealth and uHealth · 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
- Mobile App-Based Health Promotion Programs: A Systematic Review of the Literature.International journal of environmental research and public health · 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
- 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
- Trial
- Experiences From a Web- and App-Based Workplace Health Promotion Intervention Among Employees in the Social and Health Care Sector Based on Use-Data and Qualitative Interviews.Journal of medical Internet research · 2017Trial
- Effect of a Nine-Month Web- and App-Based Workplace Intervention to Promote Healthy Lifestyle and Weight Loss for Employees in the Social Welfare and Health Care Sector: A Randomized Controlled Trial.Journal of medical Internet research · 2017Trial
- Use of a web-based educational intervention to improve knowledge of healthy diet and lifestyle in women with Gestational Diabetes Mellitus compared to standard clinic-based education.BMC pregnancy and childbirth · 2016Trial
- Trial
- Exploring the experiences of cancer survivors with a mobile survivorship care plan application: A mixed-methods study.Cancer survivorship research & care · 2026Article
- Systematic review and meta analysis of standalone digital behavior change interventions on physical activity.NPJ digital medicine · 2025Article
- Women's Preferences and Willingness to Pay for AI Chatbots in Women's Health: Discrete Choice Experiment Study.Journal of medical Internet research · 2025Article
- Impacts of consumption tracking and tailored feedback on meeting nutritional recommendations: a longitudinal regression discontinuity study.Nutrition journal · 2025Article
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 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe use of Web-based apps to promote a healthy lifestyle is increasing, although most of these programs were not assessed using suitable epidemiological methods. We evaluated the effectiveness of a newly developed Web-based app in promoting a healthy lifestyle and educating adults on such lifestyles. We also analyzed predictors for success in acquiring and maintaining a healthy lifestyle.
objectiveOur aim was to compare people receiving a new Web-based app with people who got an introductory lecture alone on healthy lifestyle, weight change, nutritional knowledge, and physical activity, and to identify predictors of success for maintaining a healthy lifestyle.
methodsSubjects were recruited from the community and were randomized into intervention and control groups. The intervention subjects received access to the app without any face-to-face support; the control subjects continued their standard lifestyle. Measurements were taken by the researcher at baseline and after 14 weeks and included weight and waist circumference. Nutritional knowledge, diet quality, and physical activity duration were obtained using online questionnaires. The new Web-based app was developed based on current US Department of Agriculture and Israel Ministry of Health recommendations for healthy lifestyle. The app provides tools for monitoring diet and physical activity while instructing and encouraging healthy diet and physical activity.
resultsOut of 99 subjects who were randomized into app and control groups, 85 participants (86%) completed the study, 56 in the intervention and 29 in the control group. The mean age was 47.9 (SD 12.3) years, and mean Body Mass Index was 26.2 (SD 3.9). Among the intervention group only, frequency of app use was 2.7 (SD 1.9) days/week. The mean change in physical activity was 63 (SD 20.8) minutes in the app group and -30 (SD 27.5) minutes in the control group (P=.02). The mean weight change was -1.44 (SD 0.4) kg in the app group and -0.128 (SD 0.36) kg in the control group (P=.03). Knowledge score increased significantly in the app group, 76 (SD 7.5) to 79 (SD 8.7) at the end of the study (P=.04) compared with the control group. Diet quality score also increased significantly at the end of the study, from 67 (SD 9.8) to 71 (SD 7.6; P<.001) in contrast to the control group. Success score (represents the success in maintaining healthy lifestyle) was higher among the app group (68%) compared with 36% in the control group (P<.001). The app frequency of use was significantly related to a higher success score (P<.001).
conclusionsWe showed a positive impact of a newly developed Web-based app on lifestyle indicators during an intervention of 14 weeks. These results are promising in the app's potential to promote a healthy lifestyle, although larger and longer duration studies are needed to achieve more definitive conclusions.
trial registrationClinicaltrial.gov number: NCT01913496; http://www.clinicaltrials.gov/ct2/show/NCT01913496 (Archived by WebCite at http://www.webcitation.org/6WSTUEPuJ).
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.