Forty-three-year-old female with hoarding disorder for one year. No other neuropsychiatric background was referred. No laboratory changes. MRI showed a solid-cystic expansive tumor of 65 x 47 x 41mm with significant mass effect over adjacent structures. Patient went through neurosurgery but died at the second day of post-operatory. Surgical pathology showed a slow-growth non-secreting pituitary adenoma. Neuroimaging studies of patients with hoarding disorder have drawn attention to specific brain regions related to the symptoms, including anterior cingulate cortex, dorsolateral prefrontal cortex and orbitofrontal cortex 1,2,3 . These structures were compressed by the tumor in the present case and could hypothetically be related to clinical presentation.

In the present study, we investigated gender differences in personality and psychiatric correlates among adults (N = 115) seeking treatment for problematic internet use (PIU) at a specialized clinic in São Paulo, Brazil. All participants were assessed at the beginning of their treatment for co-occurring psychiatric conditions, other addictive behaviors, and personality characteristics. Women (n = 20) were more likely to present with greater rates of psychiatric comorbidity compared to men (n = 95), including mood disorders, anxiety disorders, obsessive-compulsive disorder, post-traumatic stress disorder, and bulimia nervosa. Women also had a greater severity of certain behavioral addictions, such as compulsive buying and disordered eating. Gender differences were also found across personality characteristics, with women scoring higher on impulsivity, novelty seeking, and self-transcendence compared to men. To our knowledge, the present study is the first to investigate gender differences for PIU in a clinical sample. The results suggest that there are notable gender differences in individuals seeking treatment for PIU which underscores the importance of assessing for co-occurring conditions, especially in women. Understanding the characteristics associated with PIU can help serve to inform the most appropriate interventions to bolster treatment outcomes.

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