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Characterization of Psychopathology in Latin American Adolescents Using a Web-Based Screening Tool: Cross-Sectional Study

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dc.contributor.authorCampos, Susana
dc.contributor.authorNuñez, Daniel
dc.contributor.authorPérez, J. Carola
dc.contributor.authorRobinson, Jo
dc.date.accessioned2025-02-26T19:44:01Z
dc.date.available2025-02-26T19:44:01Z
dc.date.issued2024
dc.description.abstractBackground: Mental health problems and suicide ideation are common in adolescents. Early detection of these issues could prevent the escalation of mental health-related symptoms in the long term. Moreover, characterizing different profiles of prevalent symptoms in conjunction with emotional regulation strategies could guide the design of specific interventions. The use of web-based screening (WBS) tools has been regarded as a suitable strategy to timely detect symptomatology while improving the appeal, cost, timeliness, and reach of detection in young populations. However, the evidence regarding the accuracy of these approaches is not fully conclusive. Objective: The study aims (1) to examine the capability of a WBS to identify adolescents with psychiatric symptoms and suicidality and (2) to characterize the mental health profiles of a large sample of adolescents using WBS. Methods: A total of 1599 Latin American Spanish-speaking adolescents (mean age 15.56, SD 1.34 years), consisting of 47.3% (n=753) female, 98.5% Chilean (n=1570), and 1.5% Venezuelan (n=24) participants, responded to a mental health WBS. A randomized subsample of participants also responded to the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID). McNemar χ2 and receiver-operating characteristic curves tested the detection accuracy of WBS contrasted with the MINI-KID. Latent profile analyses explored the symptomatic and emotional regulation profiles of participants. Results: Both measures showed an adequate level of agreement (area under the curve per symptom domain ranging from 0.70 to 0.89); however, WBS yielded a higher prevalence than MINI-KID for all psychiatric symptoms, except suicide ideation and depression. Latent profile analyses yielded 4 profiles-one of them presented elevated psychopathological symptoms, constituting 11% of the sample (n=175). Rumination (odds ratio [OR] 130.15, 95% CI 51.75-439.89; P<.001), entrapment (OR 96.35, 95% CI 29.21-317.79; P<.001), and defeat (OR 156.79, 95% CI 50.45-487.23; P<.001) contributed significantly to the prediction of latent profile memberships, while cognitive reappraisal did not contribute to the prediction of any latent profile memberships, and expressive suppression was only associated to profile-2 membership. Conclusions: WBS is acceptable for the timely detection of adolescents at risk of mental health conditions. Findings from the symptomatic and emotional regulation profiles highlight the need for comprehensive assessments and differential interventions.
dc.description.versionVersión publicada
dc.format.extent14 p.
dc.identifier.citationCampos S, Nuñez D, Pérez JC, Robinson J. Characterization of Psychopathology in Latin American Adolescents Using a Web-Based Screening Tool: Cross-Sectional Study. JMIR Form Res. 2024 Aug 8;8:e57038. doi: 10.2196/57038
dc.identifier.doihttps://doi.org/10.2196/57038
dc.identifier.urihttps://hdl.handle.net/11447/9850
dc.language.isoen
dc.subjectWeb-based screening
dc.subjectAdolescents
dc.subjectPsychopathology
dc.subjectSuicidal ideation
dc.subjectEarly detection
dc.subjectDetection
dc.subjectScreening
dc.subjectTeens
dc.subjectYouths
dc.subjectSuicide
dc.subjectMental health
dc.subjectScreening tool
dc.subjectLatin American
dc.subjectLatino
dc.subjectPsychiatric
dc.subjectPsychiatric symptoms
dc.subjectPsychological risk
dc.titleCharacterization of Psychopathology in Latin American Adolescents Using a Web-Based Screening Tool: Cross-Sectional Study
dc.typeArticle
dcterms.accessRightsAcceso abierto
dcterms.sourceJMIR Formative Research
dspace.entity.typePublication
relation.isAuthorOfPublication7422bcc4-bbeb-4931-b493-64b561094c24
relation.isAuthorOfPublication.latestForDiscovery7422bcc4-bbeb-4931-b493-64b561094c24

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