Modelling suicide ideation from beep to beep: Application of network analysis to ecological momentary assessment data

• EMA data were analyzed using network analysis (e.g., temporal networks). • Suicidal ideation at t was predicted by itself and perceived burdensomeness at t – 1. • Suicidal ideation at t − 1 predicted perceived burdensomeness, depression etc. at t. • At the same beep, suicidal ideation was related...

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Autores principales: Rath, Dajana, de Beurs, Derek, Hallensleben, Nina, Spangenberg, Lena, Glaesmer, Heide, Forkmann, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Full length Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6889482/
https://www.ncbi.nlm.nih.gov/pubmed/31828015
http://dx.doi.org/10.1016/j.invent.2019.100292
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author Rath, Dajana
de Beurs, Derek
Hallensleben, Nina
Spangenberg, Lena
Glaesmer, Heide
Forkmann, Thomas
author_facet Rath, Dajana
de Beurs, Derek
Hallensleben, Nina
Spangenberg, Lena
Glaesmer, Heide
Forkmann, Thomas
author_sort Rath, Dajana
collection PubMed
description • EMA data were analyzed using network analysis (e.g., temporal networks). • Suicidal ideation at t was predicted by itself and perceived burdensomeness at t – 1. • Suicidal ideation at t − 1 predicted perceived burdensomeness, depression etc. at t. • At the same beep, suicidal ideation was related to all variables in the network. • Patients with higher average suicidal ideation had higher average hopelessness.
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spelling pubmed-68894822019-12-11 Modelling suicide ideation from beep to beep: Application of network analysis to ecological momentary assessment data Rath, Dajana de Beurs, Derek Hallensleben, Nina Spangenberg, Lena Glaesmer, Heide Forkmann, Thomas Internet Interv Full length Article • EMA data were analyzed using network analysis (e.g., temporal networks). • Suicidal ideation at t was predicted by itself and perceived burdensomeness at t – 1. • Suicidal ideation at t − 1 predicted perceived burdensomeness, depression etc. at t. • At the same beep, suicidal ideation was related to all variables in the network. • Patients with higher average suicidal ideation had higher average hopelessness. Elsevier 2019-11-20 /pmc/articles/PMC6889482/ /pubmed/31828015 http://dx.doi.org/10.1016/j.invent.2019.100292 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Full length Article
Rath, Dajana
de Beurs, Derek
Hallensleben, Nina
Spangenberg, Lena
Glaesmer, Heide
Forkmann, Thomas
Modelling suicide ideation from beep to beep: Application of network analysis to ecological momentary assessment data
title Modelling suicide ideation from beep to beep: Application of network analysis to ecological momentary assessment data
title_full Modelling suicide ideation from beep to beep: Application of network analysis to ecological momentary assessment data
title_fullStr Modelling suicide ideation from beep to beep: Application of network analysis to ecological momentary assessment data
title_full_unstemmed Modelling suicide ideation from beep to beep: Application of network analysis to ecological momentary assessment data
title_short Modelling suicide ideation from beep to beep: Application of network analysis to ecological momentary assessment data
title_sort modelling suicide ideation from beep to beep: application of network analysis to ecological momentary assessment data
topic Full length Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6889482/
https://www.ncbi.nlm.nih.gov/pubmed/31828015
http://dx.doi.org/10.1016/j.invent.2019.100292
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