Suicide risk configuration system in a clustered clinical sample: a generalized linear model obtained through the LASSO technique
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), Depressi...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Associação Brasileira de Psiquiatria (ABP)
2018-10-01
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| Series: | Brazilian Journal of Psychiatry |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462018005007106&lng=en&tlng=en |
| _version_ | 1818932408050778112 |
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| author | María de la Paz Maino Susana Morales Orietta Echávarri Jorge Barros Arnol García Claudia Moya Tita Szmulewicz Ronit Fischman Catalina Núñez Alemka Tomicic |
| author_facet | María de la Paz Maino Susana Morales Orietta Echávarri Jorge Barros Arnol García Claudia Moya Tita Szmulewicz Ronit Fischman Catalina Núñez Alemka Tomicic |
| author_sort | María de la Paz Maino |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-20T04:32:00Z |
| format | Article |
| id | doaj.art-130d9a25492c454fa8d666360c0bf2b1 |
| institution | Directory Open Access Journal |
| issn | 1809-452X |
| language | English |
| last_indexed | 2024-12-20T04:32:00Z |
| publishDate | 2018-10-01 |
| publisher | Associação Brasileira de Psiquiatria (ABP) |
| record_format | Article |
| series | Brazilian Journal of Psychiatry |
| spelling | doaj.art-130d9a25492c454fa8d666360c0bf2b12022-12-21T19:53:21ZengAssociação Brasileira de Psiquiatria (ABP)Brazilian Journal of Psychiatry1809-452X2018-10-01010.1590/1516-4446-2017-0028S1516-44462018005007106Suicide risk configuration system in a clustered clinical sample: a generalized linear model obtained through the LASSO techniqueMaría de la Paz MainoSusana MoralesOrietta EchávarriJorge BarrosArnol GarcíaClaudia MoyaTita SzmulewiczRonit FischmanCatalina NúñezAlemka TomicicObjective: 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462018005007106&lng=en&tlng=enSuicidemood disordersadolescentsadult developmentcommunity mental health |
| spellingShingle | María de la Paz Maino Susana Morales Orietta Echávarri Jorge Barros Arnol García Claudia Moya Tita Szmulewicz Ronit Fischman Catalina Núñez Alemka Tomicic Suicide risk configuration system in a clustered clinical sample: a generalized linear model obtained through the LASSO technique Brazilian Journal of Psychiatry Suicide mood disorders adolescents adult development community mental health |
| title | 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_short | 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 |
| topic | Suicide mood disorders adolescents adult development community mental health |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462018005007106&lng=en&tlng=en |
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