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Depression among Parents Two to Six Years Following the Loss of a Child by Suicide: A Novel Prediction Model

BACKGROUND: Parents who lose a child by suicide have elevated risks of depression. No clinical prediction tools exist to identify which suicide-bereaved parents will be particularly vulnerable; we aimed to create a prediction model for long-term depression for this purpose. METHOD: During 2009 and 2...

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Detalles Bibliográficos
Autores principales: Nyberg, Tommy, Hed Myrberg, Ida, Omerov, Pernilla, Steineck, Gunnar, Nyberg, Ullakarin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5047457/
https://www.ncbi.nlm.nih.gov/pubmed/27695063
http://dx.doi.org/10.1371/journal.pone.0164091
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author Nyberg, Tommy
Hed Myrberg, Ida
Omerov, Pernilla
Steineck, Gunnar
Nyberg, Ullakarin
author_facet Nyberg, Tommy
Hed Myrberg, Ida
Omerov, Pernilla
Steineck, Gunnar
Nyberg, Ullakarin
author_sort Nyberg, Tommy
collection PubMed
description BACKGROUND: Parents who lose a child by suicide have elevated risks of depression. No clinical prediction tools exist to identify which suicide-bereaved parents will be particularly vulnerable; we aimed to create a prediction model for long-term depression for this purpose. METHOD: During 2009 and 2010 we collected data using a nationwide study-specific questionnaire among parents in Sweden who had lost a child aged 15-30 by suicide in years 2004-2007. Current depression was assessed with the Patient Health Questionnaire (PHQ-9) and a single question on antidepressant use. We considered 26 potential predictors assumed clinically assessable at the time of loss, including socio-economics, relationship status, history of psychological stress and morbidity, and suicide-related circumstances. We developed a novel prediction model using logistic regression with all subsets selection and stratified cross-validation. The model was assessed for classification performance and calibration, overall and stratified by time since loss. RESULTS: In total 666/915 (73%) participated. The model showed acceptable classification performance (adjusted area under the curve [AUC] = 0.720, 95% confidence interval [CI] 0.673-0.766), but performed classification best for those at shortest time since loss. Agreement between model-predicted and observed risks was fair, but with a tendency for underestimation and overestimation for individuals with shortest and longest time since loss, respectively. The identified predictors include female sex (odds ratio [OR] = 1.84); sick-leave (OR = 2.81) or unemployment (OR = 1.64); psychological premorbidity debuting during the last 10 years, before loss (OR = 3.64), or more than 10 years ago (OR = 4.96); suicide in biological relatives (OR = 1.54); with non-legal guardianship during the child’s upbringing (OR = 0.48); and non-biological parenthood (OR = 0.22) found as protective. CONCLUSIONS: Our prediction model shows promising internal validity, but should be externally validated before application. Psychological premorbidity seems to be a prominent predictor of long-term depression among suicide-bereaved parents, and thus important for healthcare providers to assess.
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spelling pubmed-50474572016-10-27 Depression among Parents Two to Six Years Following the Loss of a Child by Suicide: A Novel Prediction Model Nyberg, Tommy Hed Myrberg, Ida Omerov, Pernilla Steineck, Gunnar Nyberg, Ullakarin PLoS One Research Article BACKGROUND: Parents who lose a child by suicide have elevated risks of depression. No clinical prediction tools exist to identify which suicide-bereaved parents will be particularly vulnerable; we aimed to create a prediction model for long-term depression for this purpose. METHOD: During 2009 and 2010 we collected data using a nationwide study-specific questionnaire among parents in Sweden who had lost a child aged 15-30 by suicide in years 2004-2007. Current depression was assessed with the Patient Health Questionnaire (PHQ-9) and a single question on antidepressant use. We considered 26 potential predictors assumed clinically assessable at the time of loss, including socio-economics, relationship status, history of psychological stress and morbidity, and suicide-related circumstances. We developed a novel prediction model using logistic regression with all subsets selection and stratified cross-validation. The model was assessed for classification performance and calibration, overall and stratified by time since loss. RESULTS: In total 666/915 (73%) participated. The model showed acceptable classification performance (adjusted area under the curve [AUC] = 0.720, 95% confidence interval [CI] 0.673-0.766), but performed classification best for those at shortest time since loss. Agreement between model-predicted and observed risks was fair, but with a tendency for underestimation and overestimation for individuals with shortest and longest time since loss, respectively. The identified predictors include female sex (odds ratio [OR] = 1.84); sick-leave (OR = 2.81) or unemployment (OR = 1.64); psychological premorbidity debuting during the last 10 years, before loss (OR = 3.64), or more than 10 years ago (OR = 4.96); suicide in biological relatives (OR = 1.54); with non-legal guardianship during the child’s upbringing (OR = 0.48); and non-biological parenthood (OR = 0.22) found as protective. CONCLUSIONS: Our prediction model shows promising internal validity, but should be externally validated before application. Psychological premorbidity seems to be a prominent predictor of long-term depression among suicide-bereaved parents, and thus important for healthcare providers to assess. Public Library of Science 2016-10-03 /pmc/articles/PMC5047457/ /pubmed/27695063 http://dx.doi.org/10.1371/journal.pone.0164091 Text en © 2016 Nyberg et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Nyberg, Tommy
Hed Myrberg, Ida
Omerov, Pernilla
Steineck, Gunnar
Nyberg, Ullakarin
Depression among Parents Two to Six Years Following the Loss of a Child by Suicide: A Novel Prediction Model
title Depression among Parents Two to Six Years Following the Loss of a Child by Suicide: A Novel Prediction Model
title_full Depression among Parents Two to Six Years Following the Loss of a Child by Suicide: A Novel Prediction Model
title_fullStr Depression among Parents Two to Six Years Following the Loss of a Child by Suicide: A Novel Prediction Model
title_full_unstemmed Depression among Parents Two to Six Years Following the Loss of a Child by Suicide: A Novel Prediction Model
title_short Depression among Parents Two to Six Years Following the Loss of a Child by Suicide: A Novel Prediction Model
title_sort depression among parents two to six years following the loss of a child by suicide: a novel prediction model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5047457/
https://www.ncbi.nlm.nih.gov/pubmed/27695063
http://dx.doi.org/10.1371/journal.pone.0164091
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