Maladaptive appraisals and posttraumatic stress reactions in young terror survivors across 8 years: a random intercepts cross-lagged analysis.

Abstract

Background: Though there is substantial support for the importance of maladaptive appraisals for the development of posttraumatic stress reactions (PTSR), little is known about the long-term temporal relationship between maladaptive appraisals and PTSR beyond the first year after a traumatic event.Objective: We aimed to investigate three research questions: (1) Does the level of maladaptive appraisals change over time? (2) Are maladaptive appraisals and PTSR concurrently related to each other in the long term? (3) What is the direction of the temporal relationship between maladaptive appraisals and PTSR?Method: The participants were young survivors after the terror attack at Utøya island in Norway in 2011. We included data measured at 14-15 months, 30-32 months, and 102-108 months post trauma. The participants (N = 315) were all younger than 25 years at the time of the attack (mean age was 18.4, SD = 2.3), and 48.3% were female. The aims were investigated using correlations, paired t-tests, random intercept cross-lagged panel models (RI-CLPM), and cross-lagged panel models (CLPM).Results: We found a significant decrease in PTSR severity from 14-15 months to 30-32 months, and there was a significant increase in the mean level of maladaptive appraisals from 30-32 months to 102-108 months post trauma. Maladaptive appraisals and PTSR were highly associated across the three time points. Stable individual differences seem to account for most of the longitudinal relationship between maladaptive appraisals and PTSR, and we did not find clear indications of a direction of the temporal relationship between the variables.Conclusions: Our results indicate that the level of maladaptive appraisals can be quite stable once established, that they remain associated with PTSR, and that the long-term relationship between maladaptive appraisals and PTSR in the years following a trauma may best be explained by stable individual differences.