Person:

Leblanc, Nicole

Complicated grief (CG) is a bereavement-specific syndrome chiefly characterized by symptoms of persistent separation distress. Physiological reactivity to reminders of the loss and repeated acute pangs or waves of severe anxiety and psychological pain are prominent features of CG. Fear of this grief-related physiological arousal may contribute to CG by increasing the distress associated with grief reactions and increasing the likelihood of maladaptive coping strategies and grief-related avoidance. Here, we examined anxiety sensitivity (AS; i.e., the fear of anxiety-related sensations) in two studies of bereaved adults with and without CG. In both studies, bereaved adults with CG exhibited elevated AS relative to those without CG. In study 2, AS was positively associated with CG symptom severity among those with CG. These findings are consistent with the possibility that AS contributes to the development or maintenance of CG symptoms.

Persistent complex bereavement disorder (PCBD) is a bereavement-specific syndrome characterized by prolonged and impairing grief. Most research on this syndrome rests on the traditional latent variable model, whereby symptoms reflect an underlying entity. The network (or causal system) approach offers an alternative framework for understanding PCBD that does not suffer from limitations inherent in the latent entity approach. The network approach to psychopathology conceptualizes the relation between symptoms and disorder as mereological, not reflective. That is, symptoms do not reflect an inferred, unobservable category or dimension, but rather are themselves constitutive of the disorder. Accordingly, we propose that PCBD constitutes a causal system of mutually reinforcing symptoms that arise following the death of a loved one and settle into a pathological equilibrium. In this study, we used data from the Changing Lives of Older Couples database to identify symptoms central to PCBD, to distinguish the PCBD network from an overlapping but distinct network of depression symptoms, and to examine how previously identified risk factors may contribute to the maintenance or development of PCBD. Together, these findings provide an important first step toward understanding the nature and etiology of the PCBD network.