Si-Yuan Wang1, Xiao-Ying Zang1, Sheng-Hui Fu2, Jinbing Bai3, Jun-Duo Liu4, Li Tian5, Yu-Ying Feng6, Yue Zhao1. 1. a School of Nursing , Tianjin Medical University , Tianjin , China ; 2. b Organ Transplant Center , Tianjin Medical University General Hospital , Tianjin , China ; 3. c School of Nursing , the University of North Carolina at Chapel Hill , Chapel Hill , NC , USA ; 4. d Organ Transplant Center , Tianjin First Center Hospital , Tianjin , China ; 5. e Department of Nursing , Tianjin Third Center Hospital , Tianjin , China ; 6. f Organ Transplant Center , Tianjin Third Center Hospital , Tianjin , China.
Abstract
BACKGROUD: Fatigue is considered as a common symptom in patients with end-stage renal disease (ESRD) and can significantly decrease patients' quality of life. This study aimed to assess fatigue in hemodialysis patients and to investigate risk factors of fatigue in Chinese patients receiving maintenance hemodialysis (MHD) in China. METHODS: Eligible patients completed questionnaires including demographic information, a Chinese version of the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-Fatigue), the Family APGAR Index (APGAR), the medical outcomes study health status-Social Functioning subscale (SF-36,SocF), and the Pittsburgh sleep quality index (PSQI). Laboratory parameters were abstracted by medical records review. The multiple linear regression model was used to relate parameters with the FACIT-Fatigue score. RESULTS: A total of 345 MHD patients (216 men and 129 women, age 55.6 ± 12.8) were recruited in this study. The score of FACIT-Fatigue was 39 (Interquartile Range, 31-44). Fatigue was correlated with PSQI scores (p < 0.001), SocF scores (p < 0.001), comorbidity (p = 0.006), exercise time <1 hour per day (p = 0.003), adequacy of dialysis (Kt/V) < 1.2 (p = 0.016), APGAR scores (p = 0.014), and high Scr (p = 0.043). CONCLUSIONS: Fatigue is related to sleep disturbance, social and family functioning, taking physical exercise time, comorbidity condition, Kt/V and serum creatinine level in Chinese MHD patients. Future studies and interventions should focus on developing strategies and improving the quality of life in patients by addressing these significant contributing factors.
BACKGROUD: Fatigue is considered as a common symptom in patients with end-stage renal disease (ESRD) and can significantly decrease patients' quality of life. This study aimed to assess fatigue in hemodialysis patients and to investigate risk factors of fatigue in Chinese patients receiving maintenance hemodialysis (MHD) in China. METHODS: Eligible patients completed questionnaires including demographic information, a Chinese version of the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-Fatigue), the Family APGAR Index (APGAR), the medical outcomes study health status-Social Functioning subscale (SF-36,SocF), and the Pittsburgh sleep quality index (PSQI). Laboratory parameters were abstracted by medical records review. The multiple linear regression model was used to relate parameters with the FACIT-Fatigue score. RESULTS: A total of 345 MHD patients (216 men and 129 women, age 55.6 ± 12.8) were recruited in this study. The score of FACIT-Fatigue was 39 (Interquartile Range, 31-44). Fatigue was correlated with PSQI scores (p < 0.001), SocF scores (p < 0.001), comorbidity (p = 0.006), exercise time <1 hour per day (p = 0.003), adequacy of dialysis (Kt/V) < 1.2 (p = 0.016), APGAR scores (p = 0.014), and high Scr (p = 0.043). CONCLUSIONS: Fatigue is related to sleep disturbance, social and family functioning, taking physical exercise time, comorbidity condition, Kt/V and serum creatinine level in Chinese MHD patients. Future studies and interventions should focus on developing strategies and improving the quality of life in patients by addressing these significant contributing factors.
Entities:
Keywords:
Exercise; family functioning; fatigue; hemodialysis; sleep problem; social functioning
Authors: Christine Horvat Davey; Allison R Webel; Ashwini R Sehgal; Joachim G Voss; Anne Huml Journal: Nephrol Nurs J Date: 2019 Sep-Oct Impact factor: 0.959
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