title: Predicting positive and negative impacts of cancer among long-term endometrial cancer survivors.
abstract: OBJECTIVE
  Although the survival outcomes among women diagnosed with endometrial cancer are very favorable, little is known about the long-term impact of their cancer experience. This study identifies the extent of positive and negative impacts of cancer and factors associated with this, amongst long-term survivors of endometrial cancer.
  
  
  METHODS
  Australian women diagnosed with endometrial cancer (N=632) were sent questionnaires at the time of diagnosis and 3-5 years later. Hierarchical multiple regression models were used to examine whether a range of variables at diagnosis/treatment predicted subsequent scores on the Impact of Cancer Scale, which examines positive (e.g. health awareness) and negative (e.g. appearance concerns) impacts amongst cancer survivors.
  
  
  RESULTS
  Overall, women had a higher mean score for the positive than negative impact scales (M=3.5 versus M=2.5, respectively). An intermediate grade of endometrial cancer, a prior diagnosis of cancer and lower levels of education were significant, but weak, predictors of higher scores on the positive impact scale. Higher scores on the negative impact scale were predicted by a higher grade of cancer, poor physical and mental health, a younger age, being single or having lower levels of education.
  
  
  CONCLUSIONS
  The study demonstrates that factors that predict positive impact in cancer survivors differ to those that predict negative impact, suggesting that interventions to optimize cancer survivors' quality of life will need to be multi-dimensional, and this supports the need for tailored intervention.
authors.affiliation: Gynaecological Cancers Group, Queensland Institute of Medical Research, Brisbane, Australia. Ingrid.Rowlands@qimr.edu.au
authors.forename: Ingrid J
authors.initials: IJ
authors.lastname: Rowlands
authors.forename: Christina
authors.initials: C
authors.lastname: Lee
authors.forename: Monika
authors.initials: M
authors.lastname: Janda
authors.forename: Christina M
authors.initials: CM
authors.lastname: Nagle
authors.forename: Andreas
authors.initials: A
authors.lastname: Obermair
authors.forename: Penelope M
authors.initials: PM
authors.lastname: Webb
mesh_terms: D000223:Adaptation, Psychological; D000368:Aged; D001315:Australia; D003866:Depressive Disorder / Q000523:psychology; D004522:Educational Status; D016889:Endometrial Neoplasms / Q000473:pathology / Q000523:psychology*; D005260:Female; D005500:Follow-Up Studies; D006304:Health Status; D006801:Humans; D017533:Marital Status; D008875:Middle Aged; D015999:Multivariate Analysis; D060787:Neoplasm Grading; D011788:Quality of Life / Q000523:psychology*; D012044:Regression Analysis; D012307:Risk Factors; D013315:Stress, Psychological / Q000523:psychology*; D017741:Survivors / Q000523:psychology*