Literature DB >> 24653622

Long-term fatigue state in postoperative patients with breast cancer.

Xiao-Fang Tan1, Fang Xia1.   

Abstract

OBJECTIVE: To investigate the prevalence of long-term fatigue, anxiety, depression and social support, and the relationships among these symptoms in postoperative patients with breast cancer.
METHODS: A total of 180 postoperative patients with breast cancer meeting criterion were recruited in this cross-sectional study. The Brief Fatigue Inventory (BFI), Hospital Anxiety and Depression Scale (HADS) and The Social Support Survey-Chinese version were used to assessing the fatigue, anxiety and depression, Social support of participants. The magnitude of the relationship among the symptoms of fatigue and other variables was measured by Spearman Rho correlation.
RESULTS: The prevalence of long-term fatigue was 52.7%, and 18.3% occurred moderate/severe fatigue. Two-thirds of patients had a basal social support, only 12.8% of patients had better-perceived social support. Results of HADS showed that 16.7% and 21.1% of the participants have anxiety or depression disorder. Moderate/severe fatigue was negatively correlated with social support (r=-0.158, P=0.038) and positively correlated with age (r=0.132, P=0.042), chemotherapy (r=0.297, P=0.027), anxiety (r=0.324, P=0.018) and depression (r=0.211, P=0.034).
CONCLUSIONS: Long-term fatigue was highly prevalent among over half of postoperative patients with breast cancer, and moderate/severe fatigue was associated with social and psychological factors such as social support, anxiety and depression. Our results suggest that overall nursing care may be a more effective manner in improving fatigue and quality of life.

Entities:  

Keywords:  Long-term fatigue; breast cancer; postsurgery

Year:  2014        PMID: 24653622      PMCID: PMC3937751          DOI: 10.3978/j.issn.1000-9604.2014.01.12

Source DB:  PubMed          Journal:  Chin J Cancer Res        ISSN: 1000-9604            Impact factor:   5.087


  17 in total

Review 1.  Issues and challenges of instrument translation.

Authors:  Doris S F Yu; Diana T F Lee; Jean Woo
Journal:  West J Nurs Res       Date:  2004-04       Impact factor: 1.967

2.  Validation study of the Chinese version of the Brief Fatigue Inventory (BFI-C).

Authors:  Xin Shelley Wang; Xi-Shan Hao; Ying Wang; Hong Guo; Yong-Qin Jiang; Tito R Mendoza; Charles S Cleeland
Journal:  J Pain Symptom Manage       Date:  2004-04       Impact factor: 3.612

Review 3.  Fatigue in patients with advanced cancer.

Authors:  Maureen Hawthorn
Journal:  Int J Palliat Nurs       Date:  2010-11

4.  Social networks, social support mechanisms, and quality of life after breast cancer diagnosis.

Authors:  Candyce H Kroenke; Marilyn L Kwan; Alfred I Neugut; Isaac J Ergas; Jaime D Wright; Bette J Caan; Dawn Hershman; Lawrence H Kushi
Journal:  Breast Cancer Res Treat       Date:  2013-05-09       Impact factor: 4.872

5.  Predictors of social support and psychological distress in women with breast cancer.

Authors:  A Moyer; P Salovey
Journal:  J Health Psychol       Date:  1999-03

6.  Is Fatigue a Long-term Side Effect of Breast Cancer Treatment?

Authors: 
Journal:  Cancer Control       Date:  1999-05       Impact factor: 3.302

7.  Relationship between cancer-related fatigue and personality in patients with breast cancer after chemotherapy.

Authors:  Shu-Hong Wang; Guo-Ping He; Ping-Lan Jiang; Li-Li Tang; Xiao-Min Feng; Cui Zeng; Guo-Fei Wang
Journal:  Psychooncology       Date:  2013-05-15       Impact factor: 3.894

8.  Fatigue in patients with adjuvant radiation therapy for breast cancer: long-term follow-up.

Authors:  Hans Geinitz; Frank B Zimmermann; Reinhard Thamm; Monika Keller; Raymonde Busch; Michael Molls
Journal:  J Cancer Res Clin Oncol       Date:  2004-03-06       Impact factor: 4.553

Review 9.  Distinguishing fatigue and depression in patients with cancer.

Authors:  Paul B Jacobsen; Kristine A Donovan; Michael A Weitzner
Journal:  Semin Clin Neuropsychiatry       Date:  2003-10

10.  Importance of social support for functional status in breast cancer patients.

Authors:  Sevgi Ozkan; Filiz Ogce
Journal:  Asian Pac J Cancer Prev       Date:  2008 Oct-Dec
View more
  9 in total

1.  Combined Runx2 and Snail overexpression is associated with a poor prognosis in breast cancer.

Authors:  Zhengjun Yang; Bin Zhang; Bowen Liu; Yegong Xie; Xuchen Cao
Journal:  Tumour Biol       Date:  2015-01-22

2.  MicroRNA-145 inhibits growth and migration of breast cancer cells through targeting oncoprotein ROCK1.

Authors:  Meizhu Zheng; Xu Sun; Yongqing Li; Wenshu Zuo
Journal:  Tumour Biol       Date:  2015-12-29

3.  Creative arts program as an intervention for PTSD: a randomized clinical trial with motor vehicle accident survivors.

Authors:  Xiuling Wang; Chao Lan; Juwu Chen; Wenying Wang; Hua Zhang; Li Li
Journal:  Int J Clin Exp Med       Date:  2015-08-15

4.  Mindfulness-based stress reduction for women diagnosed with breast cancer.

Authors:  Lisa K Schell; Ina Monsef; Achim Wöckel; Nicole Skoetz
Journal:  Cochrane Database Syst Rev       Date:  2019-03-27

5.  Features of fatigue in patients with early-stage non-small cell lung cancer.

Authors:  Xianping Huang; Weihe Zhou; Yuefeng Zhang
Journal:  J Res Med Sci       Date:  2015-03       Impact factor: 1.852

6.  Targeting of GIT1 by miR-149* in breast cancer suppresses cell proliferation and metastasis in vitro and tumor growth in vivo.

Authors:  Yan Dong; Cai Chang; Jingtian Liu; Jinwei Qiang
Journal:  Onco Targets Ther       Date:  2017-12-11       Impact factor: 4.147

7.  DNA methylation mediated silencing of microRNA-874 is a promising diagnosis and prognostic marker in breast cancer.

Authors:  Lei Zhang; Da-Li Yan; Fan Yang; Dan-Dan Wang; Xiu Chen; Jian-Zhong Wu; Jin-Hai Tang; Wen-Jie Xia
Journal:  Oncotarget       Date:  2017-07-11

8.  High expression of USP18 is associated with the growth of colorectal carcinoma.

Authors:  Lin Zhang; Ningning Zhang; Xin Li; Wanxin Wu; Yanping Zhang; Jingyu Wang
Journal:  Histol Histopathol       Date:  2021-05-27       Impact factor: 2.303

9.  Evaluation of in vivo antitumor effects of low-frequency ultrasound-mediated miRNA-133a microbubble delivery in breast cancer.

Authors:  Yanlei Ji; Zhen Han; Limei Shao; Yuehuan Zhao
Journal:  Cancer Med       Date:  2016-07-27       Impact factor: 4.452

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.