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Biomedical subjects

Robyn J Cohen

Publications and source records attributed to Robyn J Cohen.

2 recordsLinked to original sources

Dysfunctional belief-based obsessive-compulsive disorder subgroups.

An attempt was made to identify obsessive-compulsive disorder (OCD) subgroups based on differences in OCD related beliefs. OCD patients (N=367) were assessed with the Obsessional-Beliefs Questionnaire prior to treatment. Individuals' scores on measures of inflated personal responsibility and the tendency to overestimate threat, perfectionism and intolerance of uncertainty, and over-importance and over-control of thoughts were subjected to cluster analysis. Support for both a simple and complex subgroup model was found (2-subgroup and 5-subgroup taxonomies). A low-beliefs subgroup was identified in both taxonomies. The low-beliefs subgroups reported scores on belief measures equivalent to scores reported for non-OCD comparison groups in earlier studies. Additional analyses were conducted to determine relations between belief-based and symptom subgroups. Significant relationships were found (e.g., Symmetry symptom subgroup membership was associated with membership in the Perfectionism/Certainty beliefs subgroup), although the shared variance was modest. Implications for understanding OCD heterogeneity and for cognitive theory are discussed.

Adult↗

Obsessive-compulsive disorder subtypes: an attempted replication and extension of a symptom-based taxonomy.

A symptom-based subgroup taxonomy for obsessive-compulsive disorder (OCD) was evaluated and refined. The Yale-Brown Obsessive-Compulsive Scale symptom checklist was scored and cluster analysis was conducted with a sample of OCD patients (N = 114). Results were compared to Calamari et al.'s (Behaviour Research and Therapy 37 (1999) 113) five subgroup model. Rules for determining the number of subgroups supported a more complex model. In between sample comparisons, a stable contamination subgroup was found in both a five and seven subgroup taxonomy. Between sample stability was not as strong for Harming, Obsessionals, Symmetry, and Certainty subgroups. Hoarding, as a distinctive subgroup, was unstable in separate samples. When the Calamari et al. sample and the present sample were combined (N = 220), we found a reliable Hoarding subgroup. More interpretable and stable models emerged with the combined samples suggesting that large clinical samples are needed to identify OCD subgroups. Greater support was found for a seven subgroup taxonomy based subgroup interpretability and validation measure differences. The potential utility of symptom-based subgroup models of OCD and alternative approaches are discussed. Identification of reliable and valid OCD subtypes may advance theory and treatment.

Cluster Analysis↗