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接受辅助性乳腺癌化疗的女性疲劳的解释模型。

An explanatory model of fatigue in women receiving adjuvant breast cancer chemotherapy.

作者信息

Berger A M, Walker S N

机构信息

The University of Nebraska Medical Center, College of Nursing, Omaha, Nebraska 68198-5330, USA.

出版信息

Nurs Res. 2001 Jan-Feb;50(1):42-52. doi: 10.1097/00006199-200101000-00007.

Abstract

BACKGROUND

Fatigue is the most common and disturbing complaint reported by women during adjuvant breast cancer chemotherapy, but little is known about the mechanisms influencing it.

OBJECTIVES

To test an explanatory model of variables influencing fatigue in women during the first three cycles of adjuvant breast cancer chemotherapy and to determine the extent to which model variables explain fatigue at treatments and predict fatigue at cycle midpoints.

METHODS

A prospective, correlational design with repeated measures was used. The sample included 60 women who received chemotherapy after surgery for Stage I or II breast cancer. Fatigue was measured by the Piper Fatigue Scale. Predictor variables and measures were health and functional status (MOS SF-36), chemotherapy protocol, health-promoting lifestyle behaviors (HPLPII), nutritional status (hematocrit [Hct] and body mass index [BMI]), symptom distress (MSDS), and initial reaction to the diagnosis of cancer (RDCQ). Multiple regression was used for path analyses.

RESULTS

Trimmed models of influences on fatigue were identified. At treatments, direct influences on fatigue were symptom distress (beta = 0.45-0.76, p = 0.002-0.001), chemotherapy protocol (beta = 0.26, p = 0.02), and interpersonal relations (IPR) behaviors (beta = -0.28, p = 0.02); indirect influences were confronting reaction to the diagnosis through IPR behaviors and through symptom distress. At cycle midpoints, direct influences on fatigue were symptom distress from the previous treatment (beta = 0.36-0.43, p = 0.004-0.001), physical and social function (beta = -0.31-0.50, p = 0.02-0.001), and IPR behaviors (beta = -22, p = 0.05); an indirect influence was confronting reaction to the diagnosis (through IPR behaviors). Variance explained in fatigue ranged from 42% to 62% at treatments and from 40% to 56% at cycle midpoints.

CONCLUSIONS

Further testing of the model is warranted. Findings suggest that interventions to reduce symptom distress and promote health and functional status need to be developed and evaluated for effectiveness in modifying fatigue during adjuvant breast cancer chemotherapy.

摘要

背景

疲劳是辅助性乳腺癌化疗期间女性报告的最常见且令人困扰的症状,但对影响其的机制知之甚少。

目的

检验一个关于辅助性乳腺癌化疗前三个周期中影响女性疲劳的变量的解释模型,并确定模型变量在治疗时对疲劳的解释程度以及在周期中点对疲劳的预测程度。

方法

采用前瞻性、重复测量的相关性设计。样本包括60名接受I期或II期乳腺癌手术后化疗的女性。疲劳程度通过派珀疲劳量表进行测量。预测变量和测量指标包括健康和功能状态(医学结局研究简表36项健康调查 [MOS SF-36])、化疗方案、促进健康的生活方式行为(健康促进生活方式量表II [HPLPII])、营养状况(血细胞比容 [Hct] 和体重指数 [BMI])、症状困扰(症状自评量表 [MSDS])以及对癌症诊断的初始反应(癌症诊断反应问卷 [RDCQ])。采用多元回归进行路径分析。

结果

确定了对疲劳影响的简化模型。在治疗时,对疲劳的直接影响因素有症状困扰(β = 0.45 - 0.76,p = 0.002 - 0.001)、化疗方案(β = 0.26,p = 0.02)和人际关系(IPR)行为(β = -0.28,p = 0.02);间接影响因素是通过IPR行为以及症状困扰对癌症诊断的应对反应。在周期中点,对疲劳的直接影响因素有前一治疗阶段的症状困扰(β = 0.36 - 0.43,p = 0.004 - 0.001)、身体和社会功能(β = -0.31 - 0.50,p = 0.02 - 0.001)和IPR行为(β = -0.22,p = 0.05);间接影响因素是对癌症诊断的应对反应(通过IPR行为)。在治疗时,疲劳的方差解释率为42%至62%,在周期中点为40%至56%。

结论

该模型值得进一步检验。研究结果表明,需要开发并评估旨在减轻症状困扰以及促进健康和功能状态的干预措施,以确定其在辅助性乳腺癌化疗期间改善疲劳方面的有效性。

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