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Table 1.

Demographic characteristics of study population.

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Table 1 Expand

Fig 1.

Conceptual serial-parallel mediation model diagram to investigate the effect of adverse and benevolent childhood experiences on sleep disturbance.

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Table 2.

Correlation matrix with predictor, mediators and outcome variables (* correlation is significant at the 0.05 level (2-talied); ** correlation is significant at the 0.01 level (2-tailed)).

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Table 2 Expand

Table 3.

Bivariate analysis examining the effect of demographic factors on mental health measures and resilience.

Bold numbers: Statistically significant. The numbers represent the main statistic (H for Kruskal-Wallis H test; U for Mann-Whitney U test; r for Pearson’s r correlation) and the associated p value in brackets.

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Table 3 Expand

Table 4.

Serial–parallel mediation model with adverse childhood experience as predictor variable.

Abbreviations: ACE = Adverse childhood experience, BRS = Resilience, PHQ = Depression, GAD = Anxiety, PSS = Stress, SD (PROMIS-SD) = Sleep disturbance ‐ (Bold numbers: Statistically significant). Total effect model, direct effects and indirect effects are reported.

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Table 4 Expand

Fig 2.

Flow diagram of serial–parallel mediation model with ACE as predictor variable.

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Fig 2 Expand

Fig 3.

Flow diagram of serial–parallel mediation model with BCE as predictor variable.

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Fig 3 Expand

Table 5.

Serial–parallel mediation model with BCE as predictor variable.

Abbreviations: BCE = Benevolent childhood experience, BRS = Resilience, PHQ = Depression, GAD = Anxiety, PSS = Stress, SD (PROMIS-SD) = Sleep disturbance ‐ (Bold numbers: Statistically significant). Total effect model, direct effects and indirect effects are reported.

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Table 5 Expand

Fig 4.

Summary diagram of serial–parallel mediation model for predicting sleep disturbance.

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Fig 4 Expand