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State, Trait Anxiety and Insomnia in Hospitalized Patients With Cardiovascular Disease
Panagiota Aroniada1, Georgia Gerogianni2, Angeliki Stamou2
1Student at Postgraduate Program (MSc) "Applied Clinical Nursing", University of West Attica, Greece.
Background:
Hospitalized patients experience significant physical, emotional burden mainly due to a wide range of stressors, related to the hospital environment and their disease including the procedures they undergo.
Objective:
was to explore prevalence of anxiety and insomnia in hospitalized patients with cardiovascular disease and the associated factors with anxiety.
Methods:
In the present cross-sectional study were enrolled were enrolled 140 hospitalized patients with cardiovascular disease. The data collection was carried out via interviews using the "State-Trait Anxiety Inventory (STAI)" scale and the "Athens Insomnia scale AIS" which included patients' characteristics.
Results:
Regarding state and trait anxiety, half of participants scored below 43 and 49 respectively (median), while 25% scored above 52 and 53, respectively. These values indicate moderate levels of anxiety. Regarding insomnia, at least 50% of patients scored below 6 (median). These values indicate moderate levels of insomnia. The correlation between patients' anxiety and insomnia was positive linear (rho>0.2, p<0.05), meaning that an increase in the insomnia score implies an increase in the state and trait anxiety score (more anxiety). State anxiety was found to be statistically significantly related to family status (p=0.008), occupation (p=0.005), type of disease (p=0.048), and whether they suffered from other disease (p=0.005). Trait anxiety was found to be statistically significantly associated only with marital status (p=0.043).
Conclusion:
Improving mental health of hospitalized patients in a general hospital requires the attention by clinical health professionals. Knowledge of the association between insomnia and anxiety in hospitalized patients with cardiovascular diseases is important for identifying potential high-risk groups and implementing interventions to alleviate this burden.
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