Factors Associated with Poor Quality of Life in Breast Cancer Survivors: A 3-Year Follow-Up Study.

breast cancer depression fatigue insomnia quality of life

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
12 Dec 2023
Historique:
received: 28 10 2023
revised: 22 11 2023
accepted: 11 12 2023
medline: 23 12 2023
pubmed: 23 12 2023
entrez: 23 12 2023
Statut: epublish

Résumé

The purpose of this study was to identify subgroups of quality of life (QOL) changes in breast cancer survivors (BCSs), and to determine factors associated with subgroups of consistently low or deteriorated QOL. We enrolled 101 women recently diagnosed with breast cancer in South Korea and asked them to complete a questionnaire at baseline (within 1 month of diagnosis), 1 year later (Year 1), 2 years later (Year 2), and 3 years later (Year 3). We assessed QOL using the global QOL subscale from the EORTC QLQ-C30. We defined low QOL as a global QOL score 10 points below the mean score of the general population. Based on low QOL as defined in this study, we identified subgroups of QOL changes over 3 years. We identified four subgroups of QOL changes: improved (47.4%), stable (30%), continuously low (8.8%), and deteriorated (13.8%), and considered the last two categories (22.6%) poor QOL. Logistic regression analyses demonstrated that significant determinants of poor QOL were insomnia at Year 1, fatigue and anxiety at Year 2, and fatigue, depression, and comorbidity at Year 3. In conclusion, persistent symptoms of insomnia, fatigue, anxiety, depression, and comorbidity are potential risk factors for poor QOL in BCSs.

Identifiants

pubmed: 38136354
pii: cancers15245809
doi: 10.3390/cancers15245809
pii:
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Soo-Hyun Kim (SH)

Department of Nursing, Inha University, Incheon 22212, Republic of Korea.

Ha-Yeon Jo (HY)

Department of Nursing, Inha University, Incheon 22212, Republic of Korea.

Classifications MeSH