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dc.creatorSantamaría García, Hernando
dc.creatorBaez Buitrago, Sandra Jimena
dc.creatorGómez Restrepo, Carlos
dc.creatorRodríguez Villagra, Odir
dc.creatorHuepe, David
dc.creatorPortela, María
dc.creatorReyes Gavilan, Pablo Alexander
dc.creatorKlahr, Joel
dc.creatorMatallana, Diana
dc.creatorIbáñez, Agustín
dc.date.accessioned2020-06-22T15:58:40Z
dc.date.available2020-06-22T15:58:40Z
dc.date.issued2020-05-26
dc.identifier.citationhttps://rdcu.be/b4QBUes_ES
dc.identifier.issn2158-3188
dc.identifier.urihttp://hdl.handle.net/10669/81185
dc.description.abstractSocial factors, such as social cognition skills (SCS) and social determinants of health (SDH), may be vital for mental health, even when compared with classical psycho-physical predictors (demographic, physical, psychiatric, and cognitive factors). Although major risk factors for psychiatric disorders have been previously assessed, the relative weight of SCS and SDH in relation to classical psycho-physical predictors in predicting symptoms of mental disorders remains largely unknown. In this study, we implemented multiple structural equation models (SEM) from a randomized sample assessed in the Colombian National Mental Health Survey of 2015 (CNMHS, n = 2947, females: 1348) to evaluate the role of SCS, SDH, and psycho-physical factors (totaling 17 variables) as predictors of mental illness symptoms (anxiety, depression, and other psychiatric symptoms). Speci!cally, we assessed the structural equation modeling of (a) SCS (emotion recognition and empathy skills); (b) SDH (including the experience of social adversities and social protective factors); (c) and classical psycho-physical factors, including psychiatric antecedents, physical–somatic factors (chronic diseases), and cognitive factors (executive functioning). Results revealed that the emotion recognition skills, social adverse factors, antecedents of psychiatric disorders and chronic diseases, and cognitive functioning were the best predictors of symptoms of mental illness. Moreover, SCS, particularly emotion recognition skills, and SDH (experiences of social adversities, familial, and social support networks) reached higher predictive values of symptoms than classical psycho-physical factors. Our study provides unprecedented evidence on the impact of social factors in predicting symptoms of mental illness and highlights the relevance of these factors to track early states of disease.es_ES
dc.description.sponsorshipCONICET, ANID/FONDAP (15150012)es_ES
dc.description.sponsorshipPICT (2017-1818 and 2017-1820)es_ES
dc.description.sponsorshipthe Inter-American Development Bank (IDB)es_ES
dc.description.sponsorshipGBHI ALZ UK-20-639295es_ES
dc.description.sponsorshipNIH/NIA R01 AG057234es_ES
dc.description.sponsorshipSistema General de Regalías [BPIN2018000100059]es_ES
dc.description.sponsorshipUniversidad del valle [CI 5316]es_ES
dc.description.sponsorshipColciencias Colombiaes_ES
dc.description.sponsorshipMinisterio de Salud Colombia, Grant 762-201es_ES
dc.description.sponsorshipNational Institutes of Aging of the National Institutes of Health, an Alzheimer’s Association grant (SG-20-725707-ReDLat)es_ES
dc.description.sponsorshipRainwater Foundationes_ES
dc.description.sponsorshipGlobal Brain Health Institutees_ES
dc.language.isoen_USes_ES
dc.sourceTranslational Psychiatry, 10, 165, 2020es_ES
dc.subjectsymptoms of mental illnesses_ES
dc.subjectSocial cognitiones_ES
dc.subjectExecutive functionses_ES
dc.subjectSocial determinants of healthes_ES
dc.subjectStructural equation modelses_ES
dc.subjectmeasurement invariancees_ES
dc.titleThe role of social cognition skills and social determinants of health in predicting symptoms of mental illnesses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doihttps://doi.org/10.1038/s41398-020-0852-4
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias de la Salud::Centro de Investigación en Neurociencias (CIN)es_ES
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Sociales::Instituto de Investigaciones Psicológicas (IIP)es_ES


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