Evidence map›Paper›PMID 29233169›Full record

Trial reportTrials2017

An evidence-based gamified mHealth intervention for overweight young adults with maladaptive eating habits: study protocol for a randomized controlled trial.

Ioana R Podina, Liviu A Fodor, Ana Cosmoiu, Rareș Boian

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Trials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
3.5field-weighted citation impact, top 7% of its field
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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Perspectives of Australian healthcare professionals towards gamification in practice.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2025
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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

4 authors at 2 institutions in 1 country.

Ioana R PodinaLaboratory of Cognitive Clinical Sciences, Department of Psychology, University of Bucharest, 90 Panduri Street, Bucharest, 050657, Romania. ioana.r.podina@gmail.com.
Liviu A FodorInternational Institute for The Advanced Studies of Psychotherapy and Applied Mental Health, Babeș-Bolyai University, 37 Republicii Street, Cluj-Napoca, 400015, Romania.
Ana CosmoiuLaboratory of Cognitive Clinical Sciences, Department of Psychology, University of Bucharest, 90 Panduri Street, Bucharest, 050657, Romania.
Rareș BoianDepartment of Computer Science, Babeş-Bolyai University, Mihail Kogălniceanu Street, Cluj-Napoca, 400084, Romania.
Babeș-Bolyai University · ROUniversity of Bucharest · RO

Funding

Romanian National Authority for Scientific Research and Innovation (CNCS-UEFISCDI) PN-II-RU-TE-2014-4-2481
6 · The paper itself

Abstract

backgroundCognitive behavior therapy (CBT) is the first-line of treatment for overweight and obesity patients whose problems originate in maladaptive eating habits (e.g., emotional eating). However, in-person CBT is currently difficult to access by large segments of the population. The proposed SIGMA intervention (i.e., the Self-help, Integrated, and Gamified Mobile-phone Application) is a mHealth intervention based on CBT principles. It specifically targets overweight young adults with underlying maladaptive behaviors and cognitions regarding food. The SIGMA app was designed as a serious game and intended to work as a standalone app for weight maintenance or alongside a calorie-restrictive diet for weight loss. It uses a complex and novel scoring system that allows points earned within the game to be supplemented by points earned during outdoor activities with the help of an embedded pedometer. METHODS/

designThe efficacy of the SIGMA mHealth intervention will be investigated within a randomized, placebo-controlled trial. The intervention will be set to last 2 months with a 3-month follow-up. Selected participants will be young overweight adults with non-clinical maladaptive eating habits embodied by food cravings, binge eating, and emotional eating. The primary outcomes will be represented by changes in (1) self-reported maladaptive thoughts related to eating and body weight, (2) self-reported maladaptive eating behaviors in the range of urgent food cravings, emotional eating or binge eating, (3) as well as biased attentional processing of food items as indexed by reaction times. Secondary outcomes will be represented by changes in weight, Body Mass Index, general mood, and physical activity as indexed by the number of steps per day. DISCUSSION: Through an evidence-based cognitive behavioral approach and a user-friendly game interface, the SIGMA intervention offers a significant contribution to the development of a cost-effective and preventive self-help tool for young overweight adults with maladaptive eating habits.

trial registrationISRCTN, ID: 70907354 . Registered on 6 February 2017. The ISRCTN registration is in line with the World Health Organization Trial Registration Data Set. The present paper represents the original version of the protocol. Any changes to the protocol will be communicated to ISRCTN.

Indexed as

Evidence-Based MedicineExerciseFeeding BehaviorHabitsVideo GamesAdaptation, PsychologicalAge FactorsBulimiaCell PhoneClinical ProtocolsCognitionCognitive Behavioral TherapyCravingEmotionsHealth Knowledge, Attitudes, PracticeHumansCBTGamificationMaladaptivemHealthOverweightYoung adults

Identifiers

PMID29233169
PMCPMC5727945
OpenAlexW2772065767

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.