The role of social cognition skills and social determinants of health in predicting symptoms of mental illness

Autores
Santamaría García, Hernando; Baez, Sandra; Gómez, Carlos; Rodríguez Villagra, Odir; Huepe, David; Portela, Maria; Reyes, Pablo; Klahr, Joel; Matallana, Diana; Ibañez, Agustin Mariano
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Social 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). Specifically, 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.
Fil: Santamaría García, Hernando. Pontificia Universidad Javeriana; Colombia. Hospital Universitario San Ignacio; Colombia
Fil: Baez, Sandra. Universidad de los Andes; Colombia
Fil: Gómez, Carlos. Hospital Universitario San Ignacio; Colombia. Pontificia Universidad Javeriana; Colombia
Fil: Rodríguez Villagra, Odir. Universidad de Costa Rica; Costa Rica
Fil: Huepe, David. Universidad Adolfo Ibañez; Chile
Fil: Portela, Maria. The George Washington University; Estados Unidos
Fil: Reyes, Pablo. Hospital Universitario San Ignacio; Colombia
Fil: Klahr, Joel. Pontificia Universidad Javeriana; Colombia. Hospital Universitario San Ignacio; Colombia
Fil: Matallana, Diana. Pontificia Universidad Javeriana; Colombia. Hospital Universitario San Ignacio; Colombia
Fil: Ibañez, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Adolfo Ibañez; Chile. Universidad de San Andrés; Argentina. Universidad Autónoma del Caribe; Colombia. University of California; Estados Unidos
Materia
MENTAL ILLNESS
SOCIAL FACTORS
COGNITION SKILLS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/170515
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling The role of social cognition skills and social determinants of health in predicting symptoms of mental illnessSantamaría García, HernandoBaez, SandraGómez, CarlosRodríguez Villagra, OdirHuepe, DavidPortela, MariaReyes, PabloKlahr, JoelMatallana, DianaIbañez, Agustin MarianoMENTAL ILLNESSSOCIAL FACTORSCOGNITION SKILLShttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Social 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). Specifically, 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.Fil: Santamaría García, Hernando. Pontificia Universidad Javeriana; Colombia. Hospital Universitario San Ignacio; ColombiaFil: Baez, Sandra. Universidad de los Andes; ColombiaFil: Gómez, Carlos. Hospital Universitario San Ignacio; Colombia. Pontificia Universidad Javeriana; ColombiaFil: Rodríguez Villagra, Odir. Universidad de Costa Rica; Costa RicaFil: Huepe, David. Universidad Adolfo Ibañez; ChileFil: Portela, Maria. The George Washington University; Estados UnidosFil: Reyes, Pablo. Hospital Universitario San Ignacio; ColombiaFil: Klahr, Joel. Pontificia Universidad Javeriana; Colombia. Hospital Universitario San Ignacio; ColombiaFil: Matallana, Diana. Pontificia Universidad Javeriana; Colombia. Hospital Universitario San Ignacio; ColombiaFil: Ibañez, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Adolfo Ibañez; Chile. Universidad de San Andrés; Argentina. Universidad Autónoma del Caribe; Colombia. University of California; Estados UnidosNature Publishing Group2020-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/170515Santamaría García, Hernando; Baez, Sandra; Gómez, Carlos; Rodríguez Villagra, Odir; Huepe, David; et al.; The role of social cognition skills and social determinants of health in predicting symptoms of mental illness; Nature Publishing Group; Translational Psychiatry; 10; 1; 12-2020; 1-132158-3188CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41398-020-0852-4info:eu-repo/semantics/altIdentifier/doi/10.1038/s41398-020-0852-4info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:44:07Zoai:ri.conicet.gov.ar:11336/170515instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:44:07.319CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv The role of social cognition skills and social determinants of health in predicting symptoms of mental illness
title The role of social cognition skills and social determinants of health in predicting symptoms of mental illness
spellingShingle The role of social cognition skills and social determinants of health in predicting symptoms of mental illness
Santamaría García, Hernando
MENTAL ILLNESS
SOCIAL FACTORS
COGNITION SKILLS
title_short The role of social cognition skills and social determinants of health in predicting symptoms of mental illness
title_full The role of social cognition skills and social determinants of health in predicting symptoms of mental illness
title_fullStr The role of social cognition skills and social determinants of health in predicting symptoms of mental illness
title_full_unstemmed The role of social cognition skills and social determinants of health in predicting symptoms of mental illness
title_sort The role of social cognition skills and social determinants of health in predicting symptoms of mental illness
dc.creator.none.fl_str_mv Santamaría García, Hernando
Baez, Sandra
Gómez, Carlos
Rodríguez Villagra, Odir
Huepe, David
Portela, Maria
Reyes, Pablo
Klahr, Joel
Matallana, Diana
Ibañez, Agustin Mariano
author Santamaría García, Hernando
author_facet Santamaría García, Hernando
Baez, Sandra
Gómez, Carlos
Rodríguez Villagra, Odir
Huepe, David
Portela, Maria
Reyes, Pablo
Klahr, Joel
Matallana, Diana
Ibañez, Agustin Mariano
author_role author
author2 Baez, Sandra
Gómez, Carlos
Rodríguez Villagra, Odir
Huepe, David
Portela, Maria
Reyes, Pablo
Klahr, Joel
Matallana, Diana
Ibañez, Agustin Mariano
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv MENTAL ILLNESS
SOCIAL FACTORS
COGNITION SKILLS
topic MENTAL ILLNESS
SOCIAL FACTORS
COGNITION SKILLS
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Social 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). Specifically, 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.
Fil: Santamaría García, Hernando. Pontificia Universidad Javeriana; Colombia. Hospital Universitario San Ignacio; Colombia
Fil: Baez, Sandra. Universidad de los Andes; Colombia
Fil: Gómez, Carlos. Hospital Universitario San Ignacio; Colombia. Pontificia Universidad Javeriana; Colombia
Fil: Rodríguez Villagra, Odir. Universidad de Costa Rica; Costa Rica
Fil: Huepe, David. Universidad Adolfo Ibañez; Chile
Fil: Portela, Maria. The George Washington University; Estados Unidos
Fil: Reyes, Pablo. Hospital Universitario San Ignacio; Colombia
Fil: Klahr, Joel. Pontificia Universidad Javeriana; Colombia. Hospital Universitario San Ignacio; Colombia
Fil: Matallana, Diana. Pontificia Universidad Javeriana; Colombia. Hospital Universitario San Ignacio; Colombia
Fil: Ibañez, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Adolfo Ibañez; Chile. Universidad de San Andrés; Argentina. Universidad Autónoma del Caribe; Colombia. University of California; Estados Unidos
description Social 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). Specifically, 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.
publishDate 2020
dc.date.none.fl_str_mv 2020-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/170515
Santamaría García, Hernando; Baez, Sandra; Gómez, Carlos; Rodríguez Villagra, Odir; Huepe, David; et al.; The role of social cognition skills and social determinants of health in predicting symptoms of mental illness; Nature Publishing Group; Translational Psychiatry; 10; 1; 12-2020; 1-13
2158-3188
CONICET Digital
CONICET
url http://hdl.handle.net/11336/170515
identifier_str_mv Santamaría García, Hernando; Baez, Sandra; Gómez, Carlos; Rodríguez Villagra, Odir; Huepe, David; et al.; The role of social cognition skills and social determinants of health in predicting symptoms of mental illness; Nature Publishing Group; Translational Psychiatry; 10; 1; 12-2020; 1-13
2158-3188
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41398-020-0852-4
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41398-020-0852-4
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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