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dc.creatorVries, Ymkje Anna dees_ES
dc.creatorAl-Hamzawi, Alies_ES
dc.creatorAlonso, Jordies_ES
dc.creatorAndrade, Laura Helenaes_ES
dc.creatorBenjet, Corinaes_ES
dc.creatorBruffaerts, Ronnyes_ES
dc.creatorBunting, Brendanes_ES
dc.creatorGirolamo, Giovanni dees_ES
dc.creatorFlorescu, Silviaes_ES
dc.creatorGureje, Oyees_ES
dc.creatorHaro, Josep Mariaes_ES
dc.creatorKaram, Aimeees_ES
dc.creatorKaram, Elie G.es_ES
dc.creatorKawakami, Noritoes_ES
dc.creatorKovess-Masfety, Vivianees_ES
dc.creatorLee, Singes_ES
dc.creatorMneimneh, Zeinaes_ES
dc.creatorNavarro-Mateu, Fernandoes_ES
dc.creatorOjagbemi, Akines_ES
dc.creatorPosada-Villa, Josées_ES
dc.creatorScott, Katees_ES
dc.creatorStagnaro, Juan Carloses_ES
dc.creatorTorres, Yolandaes_ES
dc.creatorXavier, Migueles_ES
dc.creatorZarkov, Zahari N.es_ES
dc.creatorKessler, Ronald C.es_ES
dc.creatorJonge, Peter dees_ES
dc.creatorWHO World Mental Health Survey collaboratorses_ES
dc.date2022
dc.date.accessioned2024-08-22T18:54:57Z
dc.date.available2024-08-22T18:54:57Z
dc.date.issued2022
dc.identifierJC06DIEP22es_ES
dc.identifier.issn0033-2917
dc.identifier.urihttp://repositorio.inprf.gob.mx/handle/123456789/8036
dc.identifier.urihttps://doi.org/10.1017/S0033291720004031
dc.descriptionBackground Depressive and anxiety disorders are highly comorbid, which has been theorized to be due to an underlying internalizing vulnerability. We aimed to identify groups of participants with differing vulnerabilities by examining the course of internalizing psychopathology up to age 45. Methods We used data from 24158 participants (aged 45+) in 23 population-based cross-sectional World Mental Health Surveys. Internalizing disorders were assessed with the Composite International Diagnostic Interview (CIDI). We applied latent class growth analysis (LCGA) and investigated the characteristics of identified classes using logistic or linear regression. Results The best-fitting LCGA solution identified eight classes: a healthy class (81.9%), three childhood-onset classes with mild (3.7%), moderate (2.0%), or severe (1.1%) internalizing comorbidity, two puberty-onset classes with mild (4.0%) or moderate (1.4%) comorbidity, and two adult-onset classes with mild comorbidity (2.7% and 3.2%). The childhood-onset severe class had particularly unfavorable sociodemographic outcomes compared to the healthy class, with increased risks of being never or previously married (OR = 2.2 and 2.0, p < 0.001), not being employed (OR = 3.5, p < 0.001), and having a low/low-average income (OR = 2.2, p < 0.001). Moderate or severe (v. mild) comorbidity was associated with 12-month internalizing disorders (OR = 1.9 and 4.8, p < 0.001), disability (B = 1.1–2.3, p < 0.001), and suicidal ideation (OR = 4.2, p < 0.001 for severe comorbidity only). Adult (v. childhood) onset was associated with lower rates of 12-month internalizing disorders (OR = 0.2, p < 0.001). Conclusions We identified eight transdiagnostic trajectories of internalizing psychopathology. Unfavorable outcomes were concentrated in the 1% of participants with childhood onset and severe comorbidity. Early identification of this group may offer opportunities for preventive interventions.es_ES
dc.formatPDFes_ES
dc.language.isoenges_ES
dc.publisherCambridge University Presses_ES
dc.relation52(11): 2134-2143
dc.rightsAcceso Cerradoes_ES
dc.titleTransdiagnostic development of internalizing psychopathology throughout the life course up to age 45: a World Mental Health Surveys reportes_ES
dc.typeArtículoes_ES
dc.contributor.affiliationDepartment of Developmental Psychology, University of Groningen, Groningen, The Netherlands
dc.contributor.emaily.a.de.vries@rug.nl (Ymkje Anna de Vries)
dc.relation.jnabreviadoPSYCHOL MED
dc.relation.journalPsychological Medicine
dc.identifier.placeInglaterra
dc.date.published2022
dc.identifier.organizacionInstituto Nacional de Psiquiatría Ramón de la Fuente Muñiz
dc.identifier.eissn1469-8978
dc.identifier.doi10.1017/S0033291720004031
dc.subject.kwAnxiety disorders
dc.subject.kwDepression
dc.subject.kwInternalizing disorders
dc.subject.kwLatent class growth analysis


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