Relationship of cancer-related fatigue with psychoneurophysiological (PNP) symptoms in breast cancer survivors

被引:1
|
作者
Hsiao, Chao-Pin [1 ]
Von Ah, Diane [2 ]
Chen, Mei-Kuang [3 ]
Saligan, Leorey N. [4 ,5 ]
机构
[1] Case Western Reserve Univ, Sch Nursing, Cleveland, OH USA
[2] Ohio State Univ, Coll Nursing, Columbus, OH USA
[3] Univ Arizona, Dept Psychol, Tucson, AZ USA
[4] Natl Inst Nursing Res, NIH, Div Intramural Res, Symptoms Biol Unit, Bethesda, MD USA
[5] 3 Ctr Dr,Bldg 3,Room 5E14, Bethesda, MD 20892 USA
基金
美国国家卫生研究院;
关键词
Cancer -related fatigue; Psychoneurophysiological symptoms; depression; Anxiety; Sleep disturbance; Pain; Cognitive ability; Breast cancer survivors; ITEM BANKS; DEPRESSION; ANXIETY; PAIN; ASSOCIATIONS; PREVALENCE; OPTIMISM; THERAPY; IMPACT; WOMEN;
D O I
10.1016/j.ejon.2023.102469
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: Cancer-related fatigue (CRF) is a highly prevalent and debilitating symptom reported by breast cancer survivors (BCS). CRF has been associated with the co-occurrence of anxiety, depression, poor sleep quality, cognitive impairment, which are collectively termed as psychoneurophysiological (PNP) symptoms. CRF and these PNP symptoms are often reported during and after treatment with long-lasting distress. It is unclear how CRF and these PNP symptoms influence each other. This study aimed to explore predictive factors (i.e., PNP symptoms and social-demographic factors) of CRF, and test exploratory path models of the relationships of CRF with PNP symptoms (depression, anxiety, sleep disturbance, pain, and cognitive function) in BCS.Methods: This paper is part of a larger descriptive, correlational, and cross-sectional study. Validated and reliable instruments assessed CRF, depression, anxiety, sleep disturbance, pain, and cognitive function. Descriptive sta-tistics, Pearson correlation, multiple linear regression models, and path analysis were employed.Results: Patients (N = 373) who reported less bodily pain had worst CRF (r =-0.45, p < .01). Significant predictors of CRF included depression, sleep disorder, bodily pain, perceived cognitive ability, and dispositional (state) optimism. Depression alone accounted for 31% of the variance in CRF. An integrative path model with bodily pain, neuropathic pain, CRF, and depression showed a good fit across different indices (CFI = 0.993, RMSEA = 0.047, 90% CI 0-0.12, SRMR = 0.027).Conclusions: This study identified significant predictors of CRF and revealed a good fit mediation model with significant pathways for CRF, suggesting that a common etiology may underpin the co-occurrence of CRF with PNP symptoms (pain and depression). However, further investigation with longitudinal design is necessary to explore the causal relationships of these symptoms. Evidence-based strategies/interventions are needed to reduce or eliminate the burden of these symptoms on the lives of BCS.
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页数:7
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