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臺灣腎臟護理學會雜誌

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篇名 長期血液透析婦女基本屬性、疾病特性與疲憊感之相關性探討
卷期 12:1
並列篇名 A Correlative Study of Demographic Profile, Disease Characteristics and Fatigue among Female Patient in Longterm Hemodialysis.
作者 揚碧枝盧玉羸曹麗英劉宏祥楊麗瓊
頁次 018-031
關鍵字 血液透析婦女疲憊感HemodialysisWomanFatigueTSCI
出刊日期 201303

中文摘要

本研究目的在探討長期血液透析婦女基本屬性、疾病特性與疲憊感之相關性。採 橫斷相關性研究設計,以方便取樣方式,選取北部某區域教學醫院之血液透析婦女爲 研究對象,以結構式問卷採面對面訪談收集資料,共取得130位有效樣本。研究工具 包含:基本屬性、疾病特性及疲憊量表三部分,以SPSS 17.0中文版進行資料統計 分析。結果發現:(1)血液透析婦女呈現中度整體疲憊感受(M=109.35±38.62, Range 二 31~185 );其中以「感受/知覺」層面之疲憊感受單題平均得分最高 (5.13±2.05,Range = 0~10)、「行爲/嚴重度層面」層面之疲憊感受單題平均得分 最低(4.53± 1.58,Range二0~10)。(2)血液透析婦女整體疲憊感因年齡、教育 程度、職業、月經狀態、自覺睡眠障礙、動靜脈手術次數、有無慢性病及血清白蛋白 不同而具顯著相關(p<.05)。(3)整體疲憊感重要預測因子爲自覺睡眠障礙、年 齡、教育程度(F二2.59, p<.01),可解釋總變異量的35%。本研究結果可提供醫護 人員暸解透析婦女疲憊狀況及重要影響因素,作爲未來設計介入措施的指引及相關研 究之參考。

英文摘要

Aim: The aim of this cross-sectional study was to investigate the relationship between the demographic profile, disease characteristics and fatigue among women in long-term hemodialysis.
Methods: The convenience sampling method and structured questionnaires were adopted to investigate fatigue among 130 women receiving hemodialysis at a regional teaching hospital in northern Taiwan. The structured questionnaires included demographic profile, disease characteristics, and Revised-PFS-Chinese Version. Statistical analyses consisted of descriptive and inferential statistics using SPSS 17.0 statistical software.
Results: The study subjects showed a moderate level of fatigue (M=109.35+38.62, Range=31-185); PFS of these women receiving dialysis differed by age, education, occupation, menstrual status, sleep disorders, the number of arteriovenous operations, with or without chronic disease and serum albumin (p< .05); Predictors of higher PFS were having sleep disorders, older age, and lower educational level (F= 2.59,p< .01). Higher PFS predictors explained 35% of the total variance.
Conclusions: The results of this study can help healthcare workers understand the level of fatigue in women receiving dialysis and the important predictors of fatigue. The knowledge can be used as a guide for designing interventions and related research in the future.

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