Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Depression among Parents Two to Six Years Following the Loss of a Child by Suicide: A Novel Prediction Model
Karolinska instituet.ORCID-id: 0000-0002-9436-0626
Karolinska institutet.
Ersta Sköndal högskola, Institutionen för vårdvetenskap.ORCID-id: 0000-0003-1835-1960
Karolinska instituet & Sahlgrenska akademin Göteborgs universitet.
Vise andre og tillknytning
2016 (engelsk)Inngår i: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 11, nr 10, artikkel-id e0164091Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

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.

sted, utgiver, år, opplag, sider
2016. Vol. 11, nr 10, artikkel-id e0164091
HSV kategori
Identifikatorer
URN: urn:nbn:se:esh:diva-5685DOI: 10.1371/journal.pone.0164091ISI: 000385553100089PubMedID: 27695063OAI: oai:DiVA.org:esh-5685DiVA, id: diva2:1063997
Forskningsfinansiär
Forte, Swedish Research Council for Health, Working Life and Welfare, 2006-1099Stockholm County Council, 20110338Tilgjengelig fra: 2017-01-11 Laget: 2017-01-11 Sist oppdatert: 2017-11-29bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstPubMed

Søk i DiVA

Av forfatter/redaktør
Nyberg, TommyOmerov, Pernilla
Av organisasjonen
I samme tidsskrift
PLoS ONE

Søk utenfor DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric

doi
pubmed
urn-nbn
Totalt: 23 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf