rkh.sePublications from Swedish Red Cross University
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • harvard-anglia-ruskin-university
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Changes in caseness of anxiety and depression in breast cancer patients during the first year following surgery: Patterns of transiency and severity of the distress response.
Red Cross University College of Nursing. Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID iD: 0000-0001-5376-5048
Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden / Sophiahemmet University College, Stockholm, Sweden.
Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Swede.
Show others and affiliations
2014 (English)In: European Journal of Oncology Nursing, ISSN 1462-3889, E-ISSN 1532-2122, Vol. 18, no 6, p. 598-604Article in journal (Refereed) Published
Abstract [en]

BACKGROUND: Psychological distress is prevalent in patients with breast cancer and is viewed as a non-pathological occurrence. Severe distress and mental disorder display a substantial overlap in both conceptual contexts and studies in oncological settings. A domain that may contribute to distinguishing non-pathological distress from signs of potential disorder is the transiency of distress.

AIM: To examine the transiency of distress response in breast cancer patients by investigating the changes in clinical caseness of depression and anxiety during one year following surgery.

METHODS: Data on the Hospital Anxiety and Depression Scale from a cohort of 715 women with breast cancer on three assessments within one year following breast surgery were subjected to Generalized Estimation Equation Analysis, McNemar's test, and logistic regression.

RESULTS: There was a significant decrease in the proportions of anxiety cases from baseline (37.7%) to 4 months (26.7%) but no significant change from 4 to 12 months. Caseness in depression significantly increased from baseline (18.5%) to 4 months (21.5%) but decreased to 15.3% at 12 months. Only experience of major adverse life events contributed to 12 months caseness of anxiety and depression beyond baseline caseness.

DISCUSSION: The average decrease in caseness of anxiety and depression a year following surgery lends support to the view of distress as a transient non-pathological response. A subgroup of patients, however, displayed enduring or recurrent severe distress indicating the presence of potential disorder. The findings emphasize the importance of screening and follow up monitoring of distress.

Place, publisher, year, edition, pages
2014. Vol. 18, no 6, p. 598-604
Keywords [en]
Communication; Elderly care; Equality; Immigrant; Workforce diversity
National Category
Nursing Cancer and Oncology
Identifiers
URN: urn:nbn:se:rkh:diva-934DOI: 10.1016/j.ejon.2014.06.007PubMedID: 24997517OAI: oai:DiVA.org:rkh-934DiVA, id: diva2:739782
Available from: 2014-08-21 Created: 2014-08-21 Last updated: 2017-12-05Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Saboonchi, Fredrik
By organisation
Red Cross University College of Nursing
In the same journal
European Journal of Oncology Nursing
NursingCancer and Oncology

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 642 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • harvard-anglia-ruskin-university
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf