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ORIGINAL RESEARCH

Intensity and Network Structure of Insomnia Symptoms and the Role of Mental Health During the First Two Waves of the COVID-19 Pandemic

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 1003-1017 | Received 24 Aug 2023, Accepted 07 Nov 2023, Published online: 30 Nov 2023

Figures & data

Table 1 Paired t-Test Results for Insomnia Symptoms

Figure 1 Regularized GGMs of insomnia symptoms.

Notes: Each node represents a variable. Weight of edges (connection between nodes) is represented by the thickness and the color saturation of the edges. Positive connections are green and negative connections red. The pie chart surrounding each node represents node predictability. (A) Pre-lockdown network. (B) Peri-lockdown network.
Figure 1 Regularized GGMs of insomnia symptoms.

Figure 2 Centrality measures.

Notes: Peri, peri-lockdown; Pre, pre-lockdown.
Figure 2 Centrality measures.

Table 2 Statistically Differing Edges Between Pre- and Peri-Lockdown GGMs

Table 3 Paired t-Test Results for Insomnia Symptoms

Figure 3 Regularized GGMs of insomnia symptoms.

Notes: Each node represents a variable. Weight of edges (connection between nodes) is represented by the thickness and the color saturation of the edges. Positive connections are green and negative connections red. The pie chart surrounding each node represents node predictability. (A) Pre-lockdown network. (B) Peri-lockdown network.
Figure 3 Regularized GGMs of insomnia symptoms.

Figure 4 Centrality measures.

Notes: Peri, peri-lockdown; Pre, pre-lockdown.
Figure 4 Centrality measures.

Table 4 Statistically Differing Edges Between Pre- and Peri-Lockdown GGMs

Figure 5 Directed acyclic graphs (DAGs).

Notes: (A) The thickness of an arrow indicates its importance to the overall network model fit (BIC value). Greater thickness indicates a greater contribution to model fit (non-significant arcs are plotted as dashed lines). (B) The thickness of an arrow indicates the likelihood of a given direction. Greater thickness corresponds to higher proportions of bootstrapped networks with the arrow pointing in that direction.
Figure 5 Directed acyclic graphs (DAGs).