OBJECTIVE: To examine different conceptual models of negative symptoms in @entity195 . DESIGN: Confirmatory factor analysis of cross-sectional data. SUBJECTS: @entity195 @entity1 (n=281) admitted to a psychogeriatric observation ward. MATERIALS: Nurses' Behavioural observation scale for psychogeriatric inpatients ( @entity8242 ). Global clinical ratings of severity of @entity303 and @entity308 based on the Cambridge Examination for Mental Disorders of the Elderly-Dutch version (CAMDEX-N). RESULTS: A unidimensional model of @entity303 fitted the data poorly. Multidimensional models produced better results. In two- and three-factor models negative symptoms were separated from @entity73 and @entity1316 . The more severe the @entity2414 , the more socially withdrawn @entity1 were. In this sense negative symptoms may have been secondary to @entity73 . However, no association was found between negative symptoms and @entity1316 . CONCLUSIONS: Negative symptoms are a prominent clinical feature of @entity195 and they are related to @entity2414 but not to @entity1316 .

Negative symptoms in XXXX : a confirmatory factor analysis.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity8242 :: ('2695', 'Gene') :: ['GIP'] @entity308 :: ('MESH:D003866', 'Disease') :: ['depression'] @entity303 :: ('MESH:D003704', 'Disease') :: ['dementia'] @entity73 :: ('MESH:D003072', 'Disease') :: ['cognitive impairment', 'cognitive decline'] @entity1316 :: ('MESH:D019964', 'Disease') :: ['mood disturbances'] @entity195 :: ('MESH:D000544', 'Disease') :: ['Alzheimer', "Alzheimer's disease"] @entity2414 :: ('MESH:D008569', 'Disease') :: ['memory impairment']
@entity195 :: (MESH:D000544,Disease) :: ['Alzheimer's disease']
