Suicide risk configuration system in a clustered clinical sample: a generalized linear model obtained through the LASSO technique
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , , |
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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Brazilian Journal of Psychiatry (São Paulo. 1999. Online) |
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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 |
format |
article |
status_str |
publishedVersion |
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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1754212558615609344 |