Hind Bint Maktoum College of Nursing and Midwifery (HBMCoNM)

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Browsing Hind Bint Maktoum College of Nursing and Midwifery (HBMCoNM) by Subject "Fatigue"

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    Association Between Perceived Control and Acute Coronary Syndrome Symptom Severity: A Prospective Cohort Study
    (2025) AbuRuz, Mohannad Eid
    Aim: To determine whether there are differences in patterns of symptom severity in three major ACS symptoms (i.e., chest pain, fatigue, and dyspnoea) over the days of CCU stay between patients with higher and lower levels of perceived control. Design: A prospective cohort study with 3 days of follow- up. Methods: Hundred and thirty- five patients were followed prospectively for 3 days, collecting data on (1) perceived control, using the Arabic version of the Controlled Attitude Scale (CAS- R); and (2) symptom severity, using a symptoms diary. A mixed repeated measure design ANOVA was used for data analysis. Results: Comparative analysis of the high- and low- perceived control groups revealed that there was a significant reduction in chest pain, fatigue, and dyspnoea symptom severity over the course of the 3 days for both groups. Compared to the low- perceived control group, the high- perceived control group had significantly lower chest pain on day 3, fatigue on days 2 and 3, and dyspnoea on all days. Conclusion: Patients with high levels of perceived control have lower levels of symptom severity than those with low perceived control. Interventions to improve perceived control among this population are highly recommended.
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    Fatigue, anxiety, depression and sleep quality in patients undergoing haemodialysis
    (2021) Gormley, Kevin
    Objective: Patients undergoing haemodialysis may experience troubling symptoms such as fatigue, anxiety, depression and sleep quality, which may affect their quality of life. The main objective of this study is to determine the prevalence of fatigue, anxiety, depression and sleep quality among patients receiving haemodialysis during the coronavirus disease 2019 (COVID-19) pandemic, and to explore the contributing predictors. Methods: A cross-sectional and descriptive correlational design using Qualtrics software was performed. Data were collected using the Functional Assessment of Cancer Therapy-Fatigue (FACT-F), the Hospital Anxiety and Depression Scale (HADS) and the Pittsburgh Sleep Quality Index (PSQI). Logistic regression analyses were used to explore the predictors that were associated with fatigue, anxiety, depression and sleep quality. Results: Of the 123 patients undergoing haemodialysis who participated, 53.7% (n = 66) reported fatigue, 43.9% (n = 54) reported anxiety, 33.3% (n = 41) reported depression and 56.9% (n = 70) reported poor sleep. Fatigue, anxiety and sleep quality (P < .05) were significantly associated with being female, and whether family members or relatives were suspected or confirmed with COVID-19. Logistic regression showed that being within the age group 31–40, having a secondary education level, anxiety, depression and sleep quality were the main predictors affecting the fatigue group. Conclusion: Fatigue, anxiety, depression and sleep quality are significant problems for patients receiving haemodialysis during the COVID-19 pandemic. Appropriate interventions to monitor and reduce fatigue, psychological problems and sleep quality amongst these patients are needed. This can help to strengthen preparations for responding to possible future outbreaks or pandemics of infectious diseases for patients receiving haemodialysis.