Relations between a ruminative thinking style and obsessive–compulsive symptoms in non-clinical samples

Abstract

There is tremendous interest in understanding the cognitive processes behind obsessive–compulsive disorder (OCD). Whereas previous research on cognitive OCD models has focused on the dysfunctional content of obsessional thinking, processes and styles of thinking have not yet been investigated. The present study investigated the relationship between a ruminative response style and obsessive–compulsive (OC) symptomatology in two non-clinical samples. In Sample 1, 261 students completed the Ruminative Response Scale, the Padua-Inventory, Revised, and the Beck Depression Inventory. Tendency to ruminate was positively correlated with the severity of OC symptoms and particularly with obsessive rumination, even after controlling for depression. Results were replicated in Sample 2 (211 students). Data indicate that a ruminative response style and obsessive rumination share common processual features. Understanding the interaction between rumination and obsessional thinking might help to further elucidate the role of cognitive vulnerability factors in OCD and to expand cognitive and metacognitive models of OCD.     

Scene articulation: dependence of illuminant estimates on number of surfaces

The ability of observers to detect changes in illuminant over two scenes containing different random samples of reflecting surfaces was determined in an experiment with Mondrian-like patterns containing different numbers of coloured patches. Performance was found to improve as the number of patches increased from 9 to 49. In principle, observers could have used space-average scene colour as the cue ('grey-world' hypothesis) or the colour of the brightest surface in the scene ('bright-is-white' hypothesis), as the two cues generally covary. In a second experiment, observers matched illuminants across different patterns in which the space-average cue and the brightest-patch cue were independently manipulated. The articulation of the patterns was varied: the number of patches increased from 49 (patch width 1 deg visual angle) to over 50000 (patch width 0.03 deg), while the gamut of colours was held constant. Space-average colour was found to be the dominant cue with all patterns except for those with the largest patches.