Suicide risk configuration system in a clustered clinical sample: a generalized linear model obtained through the LASSO technique

Detalhes bibliográficos
Autor(a) principal: Maino,María de la Paz
Data de Publicação: 2019
Outros Autores: Morales,Susana, Echávarri,Orietta, Barros,Jorge, García,Arnol, Moya,Claudia, Szmulewicz,Tita, Fischman,Ronit, Núñez,Catalina, Tomicic,Alemka
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Psychiatry (São Paulo. 1999. Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462019000200004
Resumo: Objective: To identify clinical and sociodemographic factors that increase or decrease suicidal risk in a clinical sample of subjects seeking mental health care. Method: A cross-sectional study was performed at three health centers in Santiago, Chile. The Parental Bonding Instrument (PBI), Depressive Experience Questionnaire (DEQ), Outcome Questionnaire (OQ-45.2), Reasons for Living Inventory (RFL), and State Trait Anger Expression Inventory (STAXI-2), in addition to a sociodemographic survey, were applied to 544 participants (333 with suicidal behavior and 211 without current suicidal behavior). Through hierarchical clustering analysis, participants were grouped by similarity regarding suicidal risk. Then, a regression analysis was performed using the Least Absolute Shrinkage and Selection Operator (LASSO) technique, and factors that decrease or increase suicide risk (SR) were identified for each cluster. Results: The resultant clusters were grouped mainly by the age of participants. The most important protective factor was having confidence in one’s own coping skills in difficult situations. Relevant risk factors were major depressive disorder (MDD), poor anger management, and difficulties in interpersonal relationships. Conclusions: Suicidal risk manifests differently throughout the life cycle, and different types of bonds may protect from or increase risk of suicide.
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spelling Suicide risk configuration system in a clustered clinical sample: a generalized linear model obtained through the LASSO techniqueSuicidemood disordersadolescentsadult developmentcommunity mental health Objective: To identify clinical and sociodemographic factors that increase or decrease suicidal risk in a clinical sample of subjects seeking mental health care. Method: A cross-sectional study was performed at three health centers in Santiago, Chile. The Parental Bonding Instrument (PBI), Depressive Experience Questionnaire (DEQ), Outcome Questionnaire (OQ-45.2), Reasons for Living Inventory (RFL), and State Trait Anger Expression Inventory (STAXI-2), in addition to a sociodemographic survey, were applied to 544 participants (333 with suicidal behavior and 211 without current suicidal behavior). Through hierarchical clustering analysis, participants were grouped by similarity regarding suicidal risk. Then, a regression analysis was performed using the Least Absolute Shrinkage and Selection Operator (LASSO) technique, and factors that decrease or increase suicide risk (SR) were identified for each cluster. Results: The resultant clusters were grouped mainly by the age of participants. The most important protective factor was having confidence in one’s own coping skills in difficult situations. Relevant risk factors were major depressive disorder (MDD), poor anger management, and difficulties in interpersonal relationships. Conclusions: Suicidal risk manifests differently throughout the life cycle, and different types of bonds may protect from or increase risk of suicide.Associação Brasileira de Psiquiatria2019-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462019000200004Brazilian Journal of Psychiatry v.41 n.2 2019reponame:Brazilian Journal of Psychiatry (São Paulo. 1999. Online)instname:Associação Brasileira de Psiquiatria (ABP)instacron:ABP10.1590/1516-4446-2017-0028info:eu-repo/semantics/openAccessMaino,María de la PazMorales,SusanaEchávarri,OriettaBarros,JorgeGarcía,ArnolMoya,ClaudiaSzmulewicz,TitaFischman,RonitNúñez,CatalinaTomicic,Alemkaeng2020-01-08T00:00:00Zoai:scielo:S1516-44462019000200004Revistahttp://www.bjp.org.br/ahead_of_print.asphttps://old.scielo.br/oai/scielo-oai.php||rbp@abpbrasil.org.br1809-452X1516-4446opendoar:2020-01-08T00:00Brazilian Journal of Psychiatry (São Paulo. 1999. Online) - Associação Brasileira de Psiquiatria (ABP)false
dc.title.none.fl_str_mv Suicide risk configuration system in a clustered clinical sample: a generalized linear model obtained through the LASSO technique
title Suicide risk configuration system in a clustered clinical sample: a generalized linear model obtained through the LASSO technique
spellingShingle Suicide risk configuration system in a clustered clinical sample: a generalized linear model obtained through the LASSO technique
Maino,María de la Paz
Suicide
mood disorders
adolescents
adult development
community mental health
title_short Suicide risk configuration system in a clustered clinical sample: a generalized linear model obtained through the LASSO technique
title_full Suicide risk configuration system in a clustered clinical sample: a generalized linear model obtained through the LASSO technique
title_fullStr Suicide risk configuration system in a clustered clinical sample: a generalized linear model obtained through the LASSO technique
title_full_unstemmed Suicide risk configuration system in a clustered clinical sample: a generalized linear model obtained through the LASSO technique
title_sort Suicide risk configuration system in a clustered clinical sample: a generalized linear model obtained through the LASSO technique
author Maino,María de la Paz
author_facet Maino,María de la Paz
Morales,Susana
Echávarri,Orietta
Barros,Jorge
García,Arnol
Moya,Claudia
Szmulewicz,Tita
Fischman,Ronit
Núñez,Catalina
Tomicic,Alemka
author_role author
author2 Morales,Susana
Echávarri,Orietta
Barros,Jorge
García,Arnol
Moya,Claudia
Szmulewicz,Tita
Fischman,Ronit
Núñez,Catalina
Tomicic,Alemka
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Maino,María de la Paz
Morales,Susana
Echávarri,Orietta
Barros,Jorge
García,Arnol
Moya,Claudia
Szmulewicz,Tita
Fischman,Ronit
Núñez,Catalina
Tomicic,Alemka
dc.subject.por.fl_str_mv Suicide
mood disorders
adolescents
adult development
community mental health
topic Suicide
mood disorders
adolescents
adult development
community mental health
description Objective: To identify clinical and sociodemographic factors that increase or decrease suicidal risk in a clinical sample of subjects seeking mental health care. Method: A cross-sectional study was performed at three health centers in Santiago, Chile. The Parental Bonding Instrument (PBI), Depressive Experience Questionnaire (DEQ), Outcome Questionnaire (OQ-45.2), Reasons for Living Inventory (RFL), and State Trait Anger Expression Inventory (STAXI-2), in addition to a sociodemographic survey, were applied to 544 participants (333 with suicidal behavior and 211 without current suicidal behavior). Through hierarchical clustering analysis, participants were grouped by similarity regarding suicidal risk. Then, a regression analysis was performed using the Least Absolute Shrinkage and Selection Operator (LASSO) technique, and factors that decrease or increase suicide risk (SR) were identified for each cluster. Results: The resultant clusters were grouped mainly by the age of participants. The most important protective factor was having confidence in one’s own coping skills in difficult situations. Relevant risk factors were major depressive disorder (MDD), poor anger management, and difficulties in interpersonal relationships. Conclusions: Suicidal risk manifests differently throughout the life cycle, and different types of bonds may protect from or increase risk of suicide.
publishDate 2019
dc.date.none.fl_str_mv 2019-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462019000200004
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462019000200004
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1516-4446-2017-0028
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Psiquiatria
publisher.none.fl_str_mv Associação Brasileira de Psiquiatria
dc.source.none.fl_str_mv Brazilian Journal of Psychiatry v.41 n.2 2019
reponame:Brazilian Journal of Psychiatry (São Paulo. 1999. Online)
instname:Associação Brasileira de Psiquiatria (ABP)
instacron:ABP
instname_str Associação Brasileira de Psiquiatria (ABP)
instacron_str ABP
institution ABP
reponame_str Brazilian Journal of Psychiatry (São Paulo. 1999. Online)
collection Brazilian Journal of Psychiatry (São Paulo. 1999. Online)
repository.name.fl_str_mv Brazilian Journal of Psychiatry (São Paulo. 1999. Online) - Associação Brasileira de Psiquiatria (ABP)
repository.mail.fl_str_mv ||rbp@abpbrasil.org.br
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