Examining worry and secondary stressors on grief severity using machine learning.
Journal:
Anxiety, stress, and coping
PMID:
39165151
Abstract
BACKGROUND & OBJECTIVES: Worry and loss-related secondary stressors appear to be important correlates of problematic grief responses. However, the relative importance of these variables in the context of established correlates of grief responding, ranging from indicators of identity disruption and demographic characteristics of the bereaved to characteristics of the loss of quality of the relationship with the deceased, is unknown. Modeling the relative associations of these factors can be problematic, given the high degree of collinearity between these variables. This study used a machine learning approach to provide accurate estimations of the relative importance of these correlates for post-loss symptom severity.