Evidence mapPaperPMID 40723652Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Concurrent Validity of Digital Measures of Psychological Dimensions Associated with Suicidality Using AuxiliApp.

Miguel Zacarías Pérez Sosa, Diego de-la-Vega-Sánchez, Sergio Sanz-Gómez, Adrián Alacreu-Crespo, Pedro Moreno-Gea, Pilar A Saiz, Julio Seoane Rey, José Giner, Lucas Giner

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Miguel Zacarías Pérez SosaHospital Universitario Virgen Macarena, 41009 Sevilla, Spain.ORCID 0000-0001-8619-2872
Diego de-la-Vega-SánchezHospital Universitario Virgen Macarena, 41009 Sevilla, Spain.ORCID 0000-0002-6038-7257
Sergio Sanz-GómezDepartamento de Psiquiatría, Universidad de Sevilla, 41013 Sevilla, Spain.ORCID 0000-0001-6801-0836
Adrián Alacreu-CrespoDepartamento de Psicología y Sociología, Universidad de Zaragoza, 50009 Zaragoza, Spain.ORCID 0000-0002-0633-2810
Pedro Moreno-GeaPsiquiatria, 30204 Cartagena, Spain.
Pilar A SaizDepartamento de Psiquiatría, Universidad de Oviedo, 33003 Oviedo, Spain.ORCID 0000-0002-5705-4523
Julio Seoane ReyDepartamento de Psicología Social, Universidad de Valencia, 46010 Valencia, Spain.
José GinerDepartamento de Psiquiatría, Universidad de Sevilla, 41013 Sevilla, Spain.
Lucas GinerDepartamento de Psiquiatría, Universidad de Sevilla, 41013 Sevilla, Spain.ORCID 0000-0001-5737-110X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Suicide is a major public health concern, and accurate risk assessment is essential for prevention. Slider-format questions offer a quick, intuitive, and accessible method to evaluate suicide-related dimensions. This study examines the reliability of slider-based items compared to standardized psychometric instruments when delivered via a mobile app. A total of 299 university students completed a digital self-report questionnaire using the AuxiliApp mobile platform. Participants answered validated scales assessing depression, psychological pain, suicidal ideation, anger, impulsivity, loneliness, and reasons for living, each presented in both traditional Likert and novel slider formats. Pearson correlations were used to evaluate the relationship between traditional and slider-based scores. All correlations were statistically significant (

Indexed as

digital technologymHealthrisk assessmentsuicidesuicide prevention

Identifiers

PMID40723652
PMCPMC12292349

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.