Trial reportJMIR mHealth and uHealth2020
A Mobile-Based Intervention for Dietary Behavior and Physical Activity Change in Individuals at High Risk for Type 2 Diabetes Mellitus: Randomized Controlled Trial.
Trial report in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 7 syntheses or guidelines pooled it, 37 citations in OpenAlex.
- Reporting Gaps in mHealth Intervention Studies for Adults With Diabetes: Systematic Review.JMIR mHealth and uHealth · 2026Pooled it
- Effect of digital health interventions on glycaemic control among type 2 diabetes individuals in low and middle-income countries: a systematic review and meta-analysis.BMC public health · 2026Pooled it
- Effectiveness of Smartphone Application-Based Interventions to Prevent Type 2 Diabetes Mellitus in Individuals With Prediabetes: A Systematic Review and Meta-Analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Pooled it
- Instant messaging-based digital health interventions for diabetes management: a domain-structured systematic review and meta-analysis of randomized controlled trials.Frontiers in public health · 2026Pooled it
- The Effectiveness of Instant Messaging-Based Interventions on Health Behavior Change: A Systematic Review and Meta-Analysis.Worldviews on evidence-based nursing · 2025Pooled it
- The Use of Mobile Health Interventions for Outcomes among Middle-Aged and Elderly Patients with Prediabetes: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Pooled it
- Trial
- A Transtheoretical Model-Based Online Intervention to Improve Medication Adherence for Chinese Adults Newly Diagnosed With Type 2 Diabetes: A Mixed-Method Study.Journal of primary care & community healthTrial
- Influence of Internet-Based Health Management on Control of Blood Glucose in Patients with Type 2 Diabetes: A Four-Year Longitudinal Study.Healthcare (Basel, Switzerland) · 2025Article
- Transtheoretical Model Technology-based Interventions to Improve Health Behaviors in Veterans.Motivation science · 2025Article
- Developing a Personalized Meal Recommendation System for Chinese Older Adults: Observational Cohort Study.JMIR formative research · 2024Article
- [Development and Evaluation of an App-Based Self-Management Program for Exercise Practice of Breast Cancer Survivors: A Non-Randomized Controlled Trial].Journal of Korean Academy of Nursing · 2024Article
- Article
- A Comprehensive Review of Behavior Change Techniques in Wearables and IoT: Implications for Health and Well-Being.Sensors (Basel, Switzerland) · 2024Review
- Development of a crowdsourcing- and gamification-based mobile application to collect epidemiological information and promote healthy lifestyles in Mexico.Scientific reports · 2024Article
- The use of internet-based smartphone apps consistently improved consumers' healthy eating behaviors: a systematic review of randomized controlled trials.Frontiers in digital health · 2024Review
- Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review.JMIR mHealth and uHealth · 2023Article
- Article
- A Clustering Approach to Meal-Based Analysis of Dietary Intakes Applied to Population and Individual Data.The Journal of nutrition · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIntensive lifestyle modifications have proved effective in preventing type 2 diabetes mellitus (T2DM), yet the efficiency and effectiveness of these modifications need to be improved. Emerging social media interventions are considered useful in promoting these lifestyles; nevertheless, few studies have investigated the effectiveness of combining them with behavior theory.
objectiveThis study aims to examine the effectiveness of a 6-month mobile-based intervention (DHealthBar, a WeChat applet) combined with behavioral theory compared with a printed intervention in improving dietary behaviors, physical activity, and intention to change these behaviors among populations at high risk for T2DM.
methodsParticipants aged 23 to 67 years were recruited offline in Beijing, China, and were randomized into the intervention group or the control group, which received educational content via DHealthBar or a printed handbook, respectively. Educational materials were culturally tailored recommendations on improving dietary behaviors, physical activity, and intention to change based on the transtheoretical model. Participants in the intervention arm received push notifications twice per week on WeChat and had access to the educational content for the 6-month study period. Participants in the control arm received the same intervention content through printed materials. The outcomes of participants' behavior change, intention to change behavior, and anthropometric characteristics were collected via online measuring tools at baseline, 3 months, and 6 months.
resultsIn this study, 79 enrolled individuals completed baseline information collection (control: n=38 vs intervention: n=41), and 96% (76/79) completed the 6-month follow-up visit. Attrition rates did not differ significantly between the 2 groups (χ
conclusionsDHealthBar was initially effective in improving dietary behavior, physical activity, and intention to change these behaviors among populations who were at high risk of developing T2DM, with significant differences in the changes of outcomes over the 6-month intervention period.
trial registrationChinese Clinical Trial Registry ChiCTR2000032323; https://tinyurl.com/y4h8q4uf.
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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.