Key result
In patients with heart failure, poor sleep quality was highly prevalent (78%) and significantly correlated with higher levels of anxiety (r=0.216) and depression (r=0.351).
Why the study?
Up to 80% of patients with heart failure experience sleep difficulties, prompting investigation into clinical predictors of sleep quality and its relationship with anxiety and depression.
Cross-Sectional (n=100)
No
Effect estimate: r=0.351
p-value: p=0.000
In hospitalized patients with HFrEF, poor sleep quality is highly prevalent (78%) and significantly correlates with anxiety and depression.
Poor sleep quality may flag comorbid anxiety/depression in HF; hypothesis-generating for screening and intervention trials.
Objectives: Heart Failure (HF) is a chronic condition with great impact on the lifestyle of the patients. As many as 80% of HF patients report experiencing sleep difficulties. Thus, we try to detect clinical predictors of sleep quality and define probable relationship between anxiety, depression, and sleep quality in HF patients.Materials & Methods: One hundred patients (male: 50 persons, female: 50 persons) with ejection fraction less than 45% who were hospitalized in CCU and post-CCU ward, were included in this study. Hospital Anxiety and Depression Scale (HADS) and Pittsburg Sleep Quality Index (PSQI) questionnaire were used to collect the related data.Results: The patients’ mean (SD) total PSQI score was 9.07(4.43). The most problem was seen in sleep onset latency (1.85[1.15]) sub-score of PSQI and the sleep quality of 78% of patients was abnormal. This score was higher in patients with history of abnormal blood pressure (P=0.001). PSQI score have significant correlation with anxiety (r=0.216, P=0.035) as well as depression (r=0.351, P=0.000).Conclusion: Many HF patients suffer from sleep difficulties and PSQI score seems to have significant correlation with anxiety and depression.
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Aria et al. (2019) conducted a cross-sectional in Heart Failure (n=100). In patients with heart failure, poor sleep quality was highly prevalent (78%) and significantly correlated with higher levels of anxiety (r=0.216) and depression (r=0.351).
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