Evidence map›Paper›PMID 39841995›Full record

Trial reportJournal of medical Internet research2025

Efficacy of a Mobile Health-Based Behavioral Treatment for Lifestyle Modification in Type 2 Diabetes Self-Management: Greenhabit Randomized Controlled Trial.

Ana Maria Ruiz-Leon, Rosa Casas, Sara Castro-Barquero, Sofia Alfaro-González, Petia Radeva, Emilio Sacanella, Francesc Casanovas-Garriga, Ainhoa Pérez-Gesalí, Ramon Estruch

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
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  8. Review
  9. Review
  10. [Application of Digital Nutrition Technologies in Adult Weight Management].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ana Maria Ruiz-Leon *Department of Internal Medicine, Hospital Clinic, Institut d'Investigacio Biomèdica August Pi i Sunyer, Barcelona, Spain.ORCID 0000-0001-8180-5991
Rosa CasasDepartment of Internal Medicine, Hospital Clinic, Institut d'Investigacio Biomèdica August Pi i Sunyer, Barcelona, Spain.ORCID 0000-0002-0211-9166
Sara Castro-Barquero *CIBERobn Fisiopatología de la Obesidad y la Nutrición, Instituto de Salud Carlos III, Madrid, Spain.ORCID 0000-0002-6876-5443
Sofia Alfaro-GonzálezDepartment of Internal Medicine, Hospital Clinic, Institut d'Investigacio Biomèdica August Pi i Sunyer, Barcelona, Spain.ORCID 0000-0001-9726-8377
Petia RadevaFaculty of Mathematics and Computer Science, University of Barcelona, Barcelona, Spain.ORCID 0000-0003-0047-5172
Emilio SacanellaDepartment of Internal Medicine, Hospital Clinic, Institut d'Investigacio Biomèdica August Pi i Sunyer, Barcelona, Spain.ORCID 0000-0001-8018-1523
Francesc Casanovas-GarrigaDepartment of Internal Medicine, Hospital Clinic, Institut d'Investigacio Biomèdica August Pi i Sunyer, Barcelona, Spain.ORCID 0000-0002-0258-376X
Ainhoa Pérez-GesalíDepartment of Internal Medicine, Hospital Clinic, Institut d'Investigacio Biomèdica August Pi i Sunyer, Barcelona, Spain.ORCID 0009-0006-8044-2491
Ramon EstruchDepartment of Internal Medicine, Hospital Clinic, Institut d'Investigacio Biomèdica August Pi i Sunyer, Barcelona, Spain.ORCID 0000-0003-1260-4445

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnhancing self-management in health care through digital tools is a promising strategy to empower patients with type 2 diabetes (T2D) to improve self-care.

objectiveThis study evaluates whether the Greenhabit (mobile health [mHealth]) behavioral treatment enhances T2D outcomes compared with standard care.

methodsA 12-week, parallel, single-blind randomized controlled trial was conducted with 123 participants (62/123, 50%, female; mean age 58.25 years, SD 9.46 years) recently diagnosed with T2D. Participants were recruited face-to-face from primary care centers in Barcelona, Spain, between July 2021 and March 2022. They were randomly assigned to 1 of 2 groups: (1) an intervention group (n=61) instructed to use the Greenhabit mobile app alongside standard care, or (2) a control group (n=62) who received advice on maintaining a healthy diet and followed standard care. The Greenhabit app incorporates serious gaming technology. Participants received daily messages and challenges focused on promoting a healthy lifestyle, including nutrition, exercise, relaxation, a positive mindset, and a supportive social environment. The app encouraged participants to set weekly goals and awarded points for completing challenges. Data on nutrition, anthropometrics, and blood and urine samples were collected at baseline, 6 weeks, and 12 weeks. Questionnaires assessing quality of life, work-life balance, and social environment were administered at baseline and during the final visit. The primary outcomes were HbA1c and fasting plasma glucose (FPG). Repeated-measures analysis of variance was used to compare changes over time (baseline to 6 weeks and baseline to 12 weeks) between the 2 intervention groups. Analysis of covariance was performed to evaluate changes at 6 and 12 weeks, adjusted for baseline levels of each variable. Multiple contrasts were corrected using a Bonferroni post hoc test.

resultsBoth groups showed significant reductions in HbA1c after 6 and 12 weeks (mean change in the intervention group [n=50] -0.4%, P<.001 vs -0.3% in the control group [n=53], P=.001) and in FPG after 6 weeks (mean change in the intervention group -5.3 mg/dL, P=.01 vs control group -5.8 mg/dL, P=.01). At 12 weeks, the intervention group also showed significant reductions in systolic and diastolic blood pressures (mean change -4.5, P=.049 and -2.4 mmHg, P=.03, respectively), body weight (mean change -0.8 kg, P=.03), BMI (mean change -0.3 kg/m2, P=.03), waist circumference (mean change -1.0 cm, P=.046), and triglyceride concentration (mean change -20.0 mg/dL, P=.03). There was also a significant increase in high-density lipoprotein-cholesterol concentrations (mean change 2 mg/dL, P=.049). Finally, improvements were noted in 3 out of the 5 elements of balance: positivity, social environment, and work-life balance.

conclusionsThe 12-week intervention with the Greenhabit behavioral treatment mHealth app showed beneficial effects on T2D outcomes and reduced the burden of cardiovascular risk factors. Although larger studies are warranted, these results suggest that mHealth apps can be a promising tool for improving T2D self-management.

trial registrationISRCTN Registry ISRCTN13456652; http://www.isrctn.com/ISRCTN13456652.

Indexed as

Behavior TherapyDiabetes Mellitus, Type 2Mobile ApplicationsSelf CareSelf-ManagementAgedFemaleGlycated HemoglobinHumansLife StyleMaleMiddle AgedSingle-Blind MethodSpainTelemedicineGlycated Hemoglobinanalysis of covarianceartificial intelligencebehavioral healthcardiovascularcardiovascular healthcardiovascular riskdiabetesDMGreenhabithealth careinterventionlifestyle interventionmedicationmHealthmobile applicationmobile healthrandomized controlled trialRCTself-careself-managementtreatmenttype 2 diabeteswork-life balance

Identifiers

PMID39841995
PMCPMC11799821

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Registered trials

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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.