Predictors of depressive symptoms among breast cancer patients during the first year post diagnosis

Rebecca J. Schlegel, Mark A. Manning, Lisa A. Molix, Amelia E. Talley, B. Ann Bettencourt

Research output: Contribution to journalArticlepeer-review

28 Scopus citations


It is important to identify predictors of psychological health among breast cancer patients that can be relatively easily identified by medical care providers. This article investigates the role of one class of such potential predictors: easily identified demographics that have potential social and/or practical implications. Specifically, we examined whether income, marital status, presence of children in the home, education, travel distance, age and rurality interact with time to predict psychological health over the first year post diagnosis. Two hundred and twenty five breast cancer patients receiving radiation treatment completed four surveys over the course of 13 months that included measures of both their physical health and depressive symptoms. The results revealed that women who were not married had children living in the home or had to travel long distances to receive radiation treatment reported higher levels of depressive symptoms across the entire study. Women with lower incomes reported increased depressive symptoms, but only after the completion of treatment. Younger women reported elevated depressive symptoms during initial treatment, but this effect dissipated after the completion of treatment. The current results suggest that demographic patient characteristics may indeed be useful in identifying both when and for whom depressive symptoms are particularly likely to be problematic.

Original languageEnglish
Pages (from-to)277-293
Number of pages17
JournalPsychology and Health
Issue number3
StatePublished - Mar 2012


  • breast cancer
  • children
  • depression
  • distance
  • income
  • marital status


Dive into the research topics of 'Predictors of depressive symptoms among breast cancer patients during the first year post diagnosis'. Together they form a unique fingerprint.

Cite this