Evidence map›Paper›PMID 40883256›Full record

ArticleThe International journal of eating disorders2025

From Promise to Precision: Future Directions for Smartphone Application Eating Disorder Interventions-Commentary on Cruz et al. (2025).

Mariel Messer

Abstract read
In one paragraph

Article in The International journal of eating disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Design, Implement, Sustain: Advancing Program-Led Interventions for Binge Eating, a Narrative Review.European eating disorders review : the journal of the Eating Disorders Association · 2026
    Review
  2. Article
  3. 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

1 author.

Mariel MesserSchool of Psychology, Deakin University, Burwood, Australia.ORCID 0000-0002-7186-7264

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite growing interest in smartphone applications (apps) as tools for eating disorder (ED) intervention, significant challenges remain in optimizing their utility and implementation. Cruz et al. conducted a meta-analysis of 14 trials examining smartphone app-based interventions for EDs, finding apps to effectively reduce numerous symptoms. While their findings highlight the promise of app-based interventions for symptom management, realizing their full potential will require a shift toward enhancing their potency, personalization, and flexible delivery. This commentary proposes three critical areas for future research in apps within the context of ED care. First, there is a pressing need to transition from static to adaptive systems that tailor support based on real-time, continuously collected active, passive, and metadata. Second, greater consideration should be given to how apps are best deployed, whether through established or novel models of care. Third, outcome variability points to a need for precision-focused research to better identify who benefits most from app-based interventions, ideally leveraging complex data-driven approaches that model clinical, behavioral, and engagement data. Together, these directions chart a pathway toward more intelligent, responsive, and equitable app-based tools for EDs.

Indexed as

Feeding and Eating DisordersMobile ApplicationsPrecision MedicineSmartphoneHumansdigital mental healthdigital phenotypingeating disordershybrid caremachine learningmobile health (mHealth)smartphone applicationsstepped‐care

Identifiers

PMID40883256
PMCPMC12703225

What Socratic 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 Socratic graph.