PURPOSE: Considerable research has demonstrated the negative psychosocial impact of @entity5 . Recent work has highlighted positive psychosocial outcomes. Research is now needed to evaluate the relationship between negative and positive impacts. This paper reports the development and validation of a measurement model capturing positive and negative @entity2673 . METHODS: The sample included 754 @entity5 @entity1 on- or post-treatment. Item development was informed by literature review, expert input @entity1 interviews and the results of a pilot study of 205 @entity5 @entity1 , resulting in 43 positive and 46 negative items. Factor analyses were used to evaluate the dimensionality of the item pools. Analysis of variance (ANOVA) was used to examine relationships between @entity2673 impact and other variables. RESULTS: Unidimensionality was demonstrated within but not across negative and positive impact items. ANOVA results showed differential relationships between negative and positive impacts, respectively, and @entity1 sociodemographic and clinical variables. CONCLUSION: Positive and negative @entity2673 are best conceptualized and measured as two independent factors. Computerized adaptive tests and short-form measures developed from this comprehensive @entity2673 impact item bank may benefit future research and clinical applications.

The psychosocial impact of XXXX : evidence in support of independent general positive and negative components.

@entity5 :: ('MESH:D009369', 'Disease') :: ['cancer'] @entity2673 :: ('MESH:C535569', 'Disease') :: ['psychosocial illness impacts', 'psychosocial illness'] @entity1 :: ('9606', 'Species') :: ['patients', 'patient']
@entity5 :: (MESH:D009369,Disease) :: ['cancer']
