Literature DB >> 16100708

Differences in patterns of depression after treatment for breast cancer.

Teresa Deshields1, Tiffany Tibbs, Ming-Yu Fan, Marie Taylor.   

Abstract

Depression is a significant problem for some breast cancer survivors after the end of treatment. This study assessed depression using the CES-D for 84 breast cancer patients at the conclusion of radiation treatment, and at 3 and 6 months post-treatment. Based on the pattern of CES-D scores, patients were divided into five groups: (1) Stay Depressed (scores above clinical cutoff for depression at all timepoints); (2) Recover (above threshold at baseline, but below at follow-up); (3) Become Depressed (below threshold at baseline, but above at follow-up); (4) Never Depressed (below threshold at all times); and (5) Vacillate (none of the above patterns). This study examined the relationships between depression groups and a variety of medical, demographic, and psychological measures, including anxiety and quality of life (QOL). Number of children at home significantly distinguished the groups, with the Become Depressed group having more children and the Vacillate group having fewer children. Anxiety levels were different among the groups, with Recover and Never Depressed groups having consistently lower anxiety scores. QOL scores also distinguished the groups in that Never Depressed patients demonstrated better QOL than all other groups. The findings have implications for understanding resilience in cancer patients. Copyright 2005 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2006        PMID: 16100708     DOI: 10.1002/pon.962

Source DB:  PubMed          Journal:  Psychooncology        ISSN: 1057-9249            Impact factor:   3.894


  55 in total

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

Authors:  Rebecca J Schlegel; Mark A Manning; Lisa A Molix; Amelia E Talley; B Ann Bettencourt
Journal:  Psychol Health       Date:  2011-06-16

2.  PTSD--more complicated on second look.

Authors:  Richard Fielding; Wendy W T Lam
Journal:  Nat Rev Clin Oncol       Date:  2013-06-18       Impact factor: 66.675

3.  Randomized controlled trial of cognitive behavioral stress management in breast cancer: a brief report of effects on 5-year depressive symptoms.

Authors:  Jamie M Stagl; Michael H Antoni; Suzanne C Lechner; Laura C Bouchard; Bonnie B Blomberg; Stefan Glück; Robert P Derhagopian; Charles S Carver
Journal:  Health Psychol       Date:  2014-07-28       Impact factor: 4.267

4.  Toward a cancer-specific model of psychological distress: population data from the 2003-2005 National Health Interview Surveys.

Authors:  Natalie C Kaiser; Narineh Hartoonian; Jason E Owen
Journal:  J Cancer Surviv       Date:  2010-03-08       Impact factor: 4.442

5.  Identification of distinct depressive symptom trajectories in women following surgery for breast cancer.

Authors:  Laura B Dunn; Bruce A Cooper; John Neuhaus; Claudia West; Steven Paul; Bradley Aouizerat; Gary Abrams; Janet Edrington; Debby Hamolsky; Christine Miaskowski
Journal:  Health Psychol       Date:  2011-07-04       Impact factor: 4.267

6.  Age-related longitudinal changes in depressive symptoms following breast cancer diagnosis and treatment.

Authors:  Nancy E Avis; Beverly Levine; Michelle J Naughton; L Douglas Case; Elizabeth Naftalis; Kimberly J Van Zee
Journal:  Breast Cancer Res Treat       Date:  2013-04-16       Impact factor: 4.872

7.  Pain is associated with continuing depression in cancer survivors.

Authors:  Patricia M Bamonti; Jennifer Moye; Aanand D Naik
Journal:  Psychol Health Med       Date:  2018-06-14       Impact factor: 2.423

8.  Hopefulness predicts resilience after hereditary colorectal cancer genetic testing: a prospective outcome trajectories study.

Authors:  Samuel M Y Ho; Judy W C Ho; George A Bonanno; Annie T W Chu; Emily M S Chan
Journal:  BMC Cancer       Date:  2010-06-11       Impact factor: 4.430

9.  Older women, breast cancer, and social support.

Authors:  Grace J Yoo; Ellen G Levine; Caryn Aviv; Cheryl Ewing; Alfred Au
Journal:  Support Care Cancer       Date:  2009-11-22       Impact factor: 3.603

10.  The anxious wait: assessing the impact of patient accessible EHRs for breast cancer patients.

Authors:  David Wiljer; Kevin J Leonard; Sara Urowitz; Emma Apatu; Christine Massey; Naa Kwarley Quartey; Pamela Catton
Journal:  BMC Med Inform Decis Mak       Date:  2010-09-01       Impact factor: 2.796

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