Evidence map›Paper›PMID 35281703›Full record

ArticleInternet interventions2022

A smartphone app for the prevention and early intervention of body dysmorphic disorder: Development and evaluation of the content, usability, and aesthetics.

Nora Kuck, Fanny Alexandra Dietel, Laura Nohr, Jan Vahrenhold, Ulrike Buhlmann

Abstract read
In one paragraph

Article in Internet interventions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

5 authors.

Nora KuckDepartment of Psychology, University of Münster, Fliednerstraße 21, 48149 Münster, Germany.
Fanny Alexandra DietelDepartment of Psychology, University of Münster, Fliednerstraße 21, 48149 Münster, Germany.
Laura NohrDepartment of Psychology, University of Münster, Fliednerstraße 21, 48149 Münster, Germany.
Jan VahrenholdDepartment of Computer Science, University of Münster, Einsteinstraße 62, 48149 Münster, Germany.
Ulrike BuhlmannDepartment of Psychology, University of Münster, Fliednerstraße 21, 48149 Münster, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Body dysmorphic disorder (BDD) is an impairing condition characterized by excessive appearance concerns that frequently begin in adolescence, thus making this phase an eminent target for prevention and early intervention. We developed a cognitive-behavioral app-based program (AINA) intended for prevention and early intervention of BDD. As part of the iterative development process, perceptions of usability, aesthetics, and content were investigated. A sample of 38 adolescents and young adults aged between 14 and 21 years tested the app in a laboratory setting and completed a survey of diagnostic and user experience questionnaires. Overall, usability, aesthetics, and content of the app received positive evaluations. Regression analyses did not point to any large effects of age, gender, years of education, self-esteem, or BDD symptom severity on user evaluations. On average, participants had no concerns about privacy or data security of the app, indicating that these aspects will presumably not act as barriers to usage. Altogether, the present results are encouraging. Future research needs to examine whether AINA is an efficacious measure for prevention and early intervention of BDD.

Indexed as

Appearance concernsBody imageSelf-esteemUser experience

Identifiers

PMID35281703
PMCPMC8907679

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.