RESUMEN

Posttraumatic headache (PTH) is a common debilitating condition arising from head injury and is highly prevalent among military service members and veterans with traumatic brain injury (TBI). Diagnosis and treatment for PTH is still evolving, and surprisingly little is known about the putative mechanisms that drive these headaches. This manuscript describes the design of a randomized clinical trial of two nonpharmacological (i.e., behavioral) interventions for posttraumatic headache. Design of this trial required careful consideration of PTH diagnosis and inclusion criteria, which was challenging due to the lack of standard clinical characteristics in PTH unique from other types of headaches. The treatments under study differed in clinical focus and dose (i.e., number of treatment sessions), but the trial was designed to balance the treatments as well as possible. Finally, while the primary endpoints for pain research can vary from assessments of pain intensity to objective and subjective functional measures, this trial of PTH interventions chose carefully to establish clinically relevant endpoints and to maximize the opportunity to detect significant differences between groups with two primary outcomes. All these issues are discussed in this manuscript.

RESUMEN

Background and Objectives: Most individuals experience multiple potentially traumatizing events (PTEs); hence, it is important to consider count and types of PTEs (polytraumatization) in relation to post-trauma health. Notably, no research has examined polytraumatization typologies in relation to positive memory count and phenomenology. We examined (1) latent subgroupings of individuals based on PTE endorsements; and (2) relation of the optimal latent class solution to positive memory count and phenomenology. Design: Participants were 203 trauma-exposed adults (Mage = 35.40; 61.10% females); we used PTEs endorsed on the Life Events Checklist for DSM-5 as indicators for analyses. Results: Latent class analyses indicated a three-class solution differing in quantity and quality of PTE types: Low Experience, Predominant Interpersonal PTEs, and Predominant Non-Interpersonal PTEs. Further, more positive memories predicted membership in the Low Experience vs. other classes; greater sensory details of a positive memory predicted membership in the Low Experience vs. the Predominant Interpersonal PTEs Classes; and greater accessibility of a positive memory predicted membership in the Predominant Interpersonal PTEs vs. the Predominant Non-Interpersonal PTEs Classes. Conclusions: Results indicated three meaningful subgroups endorsing differing levels/types of PTEs; count, sensory details, and accessibility of positive memories, pending further investigation, may differentiate these subgroups.

Asunto(s)

Acontecimientos que Cambian la Vida , Memoria Episódica , Estrés Psicológico/psicología , Adulto , Femenino , Humanos , Masculino , Encuestas y Cuestionarios

RESUMEN

Experiences of potentially traumatic events (PTE), commonly assessed with the Life Events Checklist for DSM-5 (LEC-5), can be both varied in pattern and type. An understanding of LEC-assessed PTE type clusters and their relation to psychopathology can enhance research feasibility (e.g., address low base rates for certain PTE types), research communication/comparisons via the use of common terminology, and nuanced trauma assessments/treatments. To this point, the current study examined (1) clusters of PTE types assessed by the LEC-5; and (2) differential relations of these PTE type clusters to mental health correlates (i.e., posttraumatic stress disorder [PTSD] severity, depression severity, emotion dysregulation, reckless and self-destructive behaviors [RSDBs]). A trauma-exposed community sample of 408 participants was recruited via Amazon's Mechanical Turk (M age = 35.90 years; 56.50% female). Network analyses indicated three PTE type clusters: Accidental/Injury Traumas (LEC-5 items 1, 2, 3, 4, 12), Victimization Traumas (LEC-5 items 6, 8, 9), and Predominant Death Threat Traumas (LEC-5 items 5, 7, 10, 11, 13-16). Multiple regression analyses indicated that the Victimization Trauma Cluster significantly predicted PTSD severity (ß = .23, p <.001), depression severity (ß = .20, p =.001), and negative emotion dysregulation (ß = .22, p <.001); and the Predominant Death Threat Trauma Cluster significantly predicted engagement in RSDBs (ß = 31, p <.001) and positive emotion dysregulation (ß = .26, p <.001), accounting for the influence of other PTE Clusters. Results support three PTE type classifications assessed by the LEC-5, with important clinical and research implications.