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Original Research

An Exploration of Self-Reported Sleep Inertia Symptoms Using Network Analysis

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Pages 661-674 | Published online: 13 Apr 2022

Figures & data

Table 1 Demographic Characteristics of the Current Sample (N=1240)

Table 2 Mean, Standard Deviation, Skewness, and Kurtosis for the SIQ Items (N=1240)

Figure 1 Network structure of the sleep inertia symptoms in the total sample (N= 1240). Blue lines indicate positive associations, and orange lines indicate negative associations. The thickness of an edge represents the association strength, the size of a circle represents the node strength, and the area of red ring indicates the predictability.

Note: SIQ questionnaires are adapted from Kanady JC, Harvey AG. Development and validation of the Sleep Inertia Questionnaire (SIQ) and assessment of sleep inertia in analogue and clinical depression. Cognitive Ther Res. 2015;39(5):601–612. Table 2 is copyright protected and excluded from the open access licence.Citation28
Figure 1 Network structure of the sleep inertia symptoms in the total sample (N= 1240). Blue lines indicate positive associations, and orange lines indicate negative associations. The thickness of an edge represents the association strength, the size of a circle represents the node strength, and the area of red ring indicates the predictability.

Figure 2 Centrality indices of network structure of sleep inertia symptoms, shown as standardized values z-scores.

Figure 2 Centrality indices of network structure of sleep inertia symptoms, shown as standardized values z-scores.

Figure 3 Stability of centrality indices as assessed using the case-dropping bootstrap method. The x-axis represents the percentage of cases of the original sample used at each step. The y-axis represents the average of correlations between the centrality indices from the original network and the centrality indices from the networks that were re-estimated after excluding increasing percentages of cases. Each line indicates the correlations among betweenness, closeness, and strength, while areas indicate 95% CI.

Figure 3 Stability of centrality indices as assessed using the case-dropping bootstrap method. The x-axis represents the percentage of cases of the original sample used at each step. The y-axis represents the average of correlations between the centrality indices from the original network and the centrality indices from the networks that were re-estimated after excluding increasing percentages of cases. Each line indicates the correlations among betweenness, closeness, and strength, while areas indicate 95% CI.

Figure 4 Estimation of node strength difference by bootstrapped difference test. Bootstrapped difference tests between node strength of factors. Gray boxes indicate nodes that do not significantly differ from one-another. Black boxes represent nodes that differ significantly from one another (α = 0.05). White boxes show the values of node strength.

Figure 4 Estimation of node strength difference by bootstrapped difference test. Bootstrapped difference tests between node strength of factors. Gray boxes indicate nodes that do not significantly differ from one-another. Black boxes represent nodes that differ significantly from one another (α = 0.05). White boxes show the values of node strength.

Figure 5 Estimated network models for sleep inertia symptoms between females and males. Left panel: network structure in females (n = 675); right panel: network structure in males (n = 565).

Figure 5 Estimated network models for sleep inertia symptoms between females and males. Left panel: network structure in females (n = 675); right panel: network structure in males (n = 565).