Publicatie
Publication date
Modelling suicide ideation from beep to beep: Application of network analysis to ecological momentary assessment data.
Rath, D., Beurs, D. de, Hallensleben, N., Spangenberg, L., Glaesmer, H., Forkmann, T. Modelling suicide ideation from beep to beep: Application of network analysis to ecological momentary assessment data. Internet Interventions: 2019, 18, p. Art. nr. 100292.
Read online
- 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 -deation 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 - igher average suicidal ideation had higher average hopelessness.
- Suicidal ideation at t was predicted by itself and perceived burdensomeness at t - 1.
- Suicidal -deation 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 - igher average suicidal ideation had higher average hopelessness.
- 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 -deation 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 - igher average suicidal ideation had higher average hopelessness.
- Suicidal ideation at t was predicted by itself and perceived burdensomeness at t - 1.
- Suicidal -deation 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 - igher average suicidal ideation had higher average hopelessness.