Dataset Information

Everyday life experiences for evaluating post-traumatic stress disorder symptoms.

ABSTRACT: Background: Previous research has highlighted the importance of regularizing daily routines for maintaining mental health. Little is known about whether and how regularity of daily routines is associated with reduced post-traumatic stress disorder (PTSD) symptoms.Objective: We aimed to examine the associations between regularity of daily routines and PTSD symptoms in two studies (N = 796).Method: In Study 1, prospective data were analysed with the latent change score model to investigate the association between sustainment of regular daily routines and change in PTSD symptoms over time amid massive civil unrest in Hong Kong in 2019. Study 2 used vignette as a quasi-experimental method to assess the ability of maintaining regular daily routines in face of a major stressor, and tested its associations with PTSD symptoms.Results: In Study 1, increased regularity of diverse daily routines was inversely associated with increased PTSD symptoms amid the civil unrest in Hong Kong (β = -.427 to -.224, 95% confidence intervals [-.543 to -.359, -.310 to -.090], p values < .01). In Study 2, a greater ability to maintain regular daily routines during stress was associated with lower levels of PTSD symptoms (β = -.285 to -.096, 95% confidence intervals [-.379 to -.189, -.190 to -.003], p values < .05).Conclusions: Our findings suggest the benefit of considering diverse everyday activities in evaluating PTSD symptoms in both clinical and subclinical populations. Interventions with the direct focus on the role of daily living could promote psychological resilience during and after potentially traumatic events.

SUBMITTER: Liang L

PROVIDER: S-EPMC10472851 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

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Everyday life experiences for evaluating post-traumatic stress disorder symptoms.

Liang Li L Bonanno George A GA Hougen Clint C Hobfoll Stevan E SE Hou Wai Kai WK

European journal of psychotraumatology 20230101 2

Background: Previous research has highlighted the importance of regularizing daily routines for maintaining mental health. Little is known about whether and how regularity of daily routines is associated with reduced post-traumatic stress disorder (PTSD) symptoms.Objective: We aimed to examine the associations between regularity of daily routines and PTSD symptoms in two studies (N = 796).Method: In Study 1, prospective data were analysed with the latent change score ...[more]

PMID: 37650243

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Project description:Background Firefighters, as first responders with a high risk of occupational exposure to traumatic events and heavy working stress, have a high prevalence of PTSD symptoms and depressive symptoms. But no previous studies analyzed the relationships and hierarchies of PTSD and depressive symptoms among firefighters. Network analysis is a novel and effective method for investigating the complex interactions of mental disorders at the symptom level and providing a new understanding of psychopathology. The current study was designed to characterize the PTSD and depressive symptoms network structure in the Chinese firefighters. Method The Primary Care PTSD Screen for DSM-5 (PC-PTSD-5) and the Self-Rating Depression Scale (SDS) were applied to assess PTSD and depressive symptoms, respectively. The network structure of PTSD and depressive symptoms was characterized using “expected influence (EI)” and “bridge EI” as centrality indices. The Walktrap algorithm was conducted to identify communities in the PTSD and depressive symptoms network. Finally, Network accuracy and stability were examined using the Bootstrapped test and the case-dropping procedure. Results A total of 1,768 firefighters were enrolled in our research. Network analysis revealed that the relationship between PTSD symptoms, “Flashback” and “Avoidance,” was the strongest. “Life emptiness” was the most central symptom with the highest EI in the PTSD and depression network model. Followed by “Fatigue” and “Interest loss.” Bridge symptoms connecting PTSD and depressive symptoms in our study were “Numb,” “High alertness,” “Sad mood,” and “Compunction and blame,” successively. The data-driven community detection suggested the differences in PTSD symptoms in the clustering process. The reliability of the network was approved by both stability and accuracy tests. Conclusion To the best of our knowledge, the current study first demonstrated the network structure of PTSD and depressive symptoms among Chinese firefighters, identifying the central and bridge symptoms. Targeting interventions to the symptoms mentioned above may effectively treat firefighters suffering from PTSD and depressive symptoms.

Dataset Information

Everyday life experiences for evaluating post-traumatic stress disorder symptoms.

Publications

Everyday life experiences for evaluating post-traumatic stress disorder symptoms.

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