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. 2019 Nov 20:18:100292.
doi: 10.1016/j.invent.2019.100292. eCollection 2019 Dec.

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

Dajana Rath  1 , Derek de Beurs  2 , Nina Hallensleben  3 , Lena Spangenberg  3 , Heide Glaesmer  3 , Thomas Forkmann  1
Affiliations

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

Dajana Rath et al. Internet Interv. .

Abstract

•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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Figures

Fig. 1
Fig. 1
Differences between network and HLM analysis as used in Hallensleben et al. (2019).
Fig. 2
Fig. 2
Temporal network of the fixed effects with green lines representing positive associations and red lines negative associations; the thicker the line, the stronger the association; SI: suicidal ideation, PB: perceived burdensomeness, TB: thwarted belongingness, PA: positive affect, D: depressiveness, H: hopelessness, A: anxiety. Non-significant edges were omitted.
Fig. 3
Fig. 3
Temporal, contemporaneous, and between-subjects network: green lines representing positive associations, red lines representing negative associations; the thicker the line, the stronger the association; SI: suicidal ideation, PB: perceived burdensomeness, TB: thwarted belongingness, PA: positive affect, D: depressiveness, H: hopelessness, A: anxiety. Non-significant edges were omitted.
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