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• W4297399791 abstract "Abstract Background: The main aims of this study were to adapt the COVID-19 Peritraumatic Distress Index (CPDI) to the Peruvian population and to establish a model explaining depression using CPDI values and anxiety symptoms during the COVID-19 lockdown. Finally, we sought predictive values of the obtained CPDI factors for depression and anxiety as a secondary aim . Materials and Methods: An exploratory factor analysis (n = 300) was performed, followed by confirmatory factor analysis in a second phase (n = 1135). To explain depression scores during the COVID-19 pandemic, we performed structural equation modeling (SEM). Finally, we performed a hierarchical regression model (HRM) to evaluate the amount of explained variance of the CPDI factors above depression, anxiety, and sociodemographic variables . Results: A 2-factor solution ( rumination and stress ) for the CPDI (p < 0.001; CFI = 0.99) was found. Concerning the SEM, our model was able to explain 81% of the depression scores (p < 0.001; CFI = 0.98). Finally, in the HRM, rumination could explain 17% additional variance in depression (p < 0.001) and 28% in anxiety (p < 0.001). However, stress showed collinearity with depression and anxiety, not continuing for further HRM analysis. Conclusions: Our results showed a 2-factor solution for the CPDI. Moreover, our SEM model showed that female sex, younger age, and incomplete education (with high COVID-related stress and anxiety) lead to more depression symptoms during the COVID-19 lockdown. Finally, our HRM showed that people who frequently ruminate during the COVID-19 lockdown are more afraid and negatively affected." @default.
• W4297399791 created "2022-09-28" @default.
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• W4297399791 date "2022-09-27" @default.
• W4297399791 modified "2023-10-03" @default.
• W4297399791 title "Construct validity of the COVID-19 Peritraumatic Distress Index (CPDI) in a Peruvian sample during COVID-19 lockdown and its relationship with anxiety and depression using structural equation modeling" @default.
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• W4297399791 doi "https://doi.org/10.21203/rs.3.rs-2101028/v1" @default.
• W4297399791 hasPublicationYear "2022" @default.
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