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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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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. |
format | Online Article Text |
id | pubmed-5047457 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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