BACKGROUND: This study reports the comparison and associations of demographic, clinical and psychosocial correlates with three unipolar depressive disorders: dysthymia (DYS), major depression (MD) and double depression (DD), and examines to which extent these variables predict the disorders. SAMPLING AND METHOD: Previously collected data from 563 adults from a community in Puerto Rico were analyzed. One hundred and thirty individuals with DYS, 260 with MD and 173 with DD were compared by demographic variables, psychiatric and physical comorbidity, familial psychopathology, psychosocial stressors, functional impairment, self-reliance, problem recognition and formal use of mental health services. Multinomial regression was used to assess the association of the predictor variables with each of the three disorders. RESULTS: Similarities outweighed the discrepancies between the disorders. The main differences observed were between MD and DD, while DYS shared common characteristics with both MD and DD. After other variables were controlled, anxiety, functional impairment and problem recognition most strongly predicted a DD diagnosis, while age predicted a DYS diagnosis. CONCLUSION: MD, DYS and DD are not completely different disorders, but they do differ in key aspects that might be relevant for nosology, research and practice. A dimensional system that incorporates specific categories of disorders would better reflect the different manifestations of unipolar depressive disorders.
BACKGROUND: This study reports the comparison and associations of demographic, clinical and psychosocial correlates with three unipolar depressive disorders: dysthymia (DYS), major depression (MD) and double depression (DD), and examines to which extent these variables predict the disorders. SAMPLING AND METHOD: Previously collected data from 563 adults from a community in Puerto Rico were analyzed. One hundred and thirty individuals with DYS, 260 with MD and 173 with DD were compared by demographic variables, psychiatric and physical comorbidity, familial psychopathology, psychosocial stressors, functional impairment, self-reliance, problem recognition and formal use of mental health services. Multinomial regression was used to assess the association of the predictor variables with each of the three disorders. RESULTS: Similarities outweighed the discrepancies between the disorders. The main differences observed were between MD and DD, while DYS shared common characteristics with both MD and DD. After other variables were controlled, anxiety, functional impairment and problem recognition most strongly predicted a DD diagnosis, while age predicted a DYS diagnosis. CONCLUSION: MD, DYS and DD are not completely different disorders, but they do differ in key aspects that might be relevant for nosology, research and practice. A dimensional system that incorporates specific categories of disorders would better reflect the different manifestations of unipolar depressive disorders.
Authors: James M Russell; Kevin Hawkins; Ronald J Ozminkowski; Lucinda Orsini; William H Crown; Sean Kennedy; Stan Finkelstein; Ernst Berndt; A John Rush Journal: J Clin Psychiatry Date: 2004-03 Impact factor: 4.384