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Predicting Religious Beliefs, Spiritual, Social, and General Health of Nurses Based on COVID-19 anxiety
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Zakiyeh Khakparaghi   |
| , Khakparagi.maref@yahoo.com |
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Abstract: (32 Views) |
Introduction: The COVID-19 pandemic, as a global health crisis, has had widespread psychosocial consequences. In this regard, the aim of the present study is to predict nurses' religious beliefs, spiritual, social, and general health based on COVID-19 anxiety.
Method: This study was descriptive-correlational. The statistical population consisted of 663 nurses in Marand city, 243 of whom were selected using a proportional stratified sampling method. Data were collected using standard questionnaires on religious beliefs, spiritual health, social health, general health, and COVID-19 anxiety. The face and content validity of the questionnaires was confirmed, and their reliability was estimated by calculating Cronbach's alpha coefficients as 0.87, 0.96, 0.85, 0.87, and 0.84, respectively. The data were analyzed using SPSS-27 software and through linear regression.
Results: The findings showed that COVID-19 has a significant negative relationship with nurses' religious beliefs (Beta = -0.65, P < 0.001), spiritual health (Beta = -0.53, P < 0.001), social health (Beta = -0.56, P < 0.001), and public health (Beta = -0.35, P < 0.001). Based on the Beta coefficients, COVID-19 inversely explains 65.2%, 52.7%, 56.2%, and 34.7% of the variance in these variables, respectively.
Conclusion: The results indicate the significant negative impact of the COVID-19 pandemic on various dimensions of nurses' public, spiritual, and social health. These findings emphasize the necessity of designing and implementing comprehensive intervention programs and providing psychosocial support services to enhance the resilience of this vital workforce against the consequences of pandemics.
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| Keywords: COVID-19, Religious Beliefs, Spiritual Health, Social Health, Public Health, Nurses |
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Full-Text [PDF 396 kb]
(23 Downloads)
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Type of Study: Quantitative-Research |
Subject:
Special
Received: 2025/09/29 | Accepted: 2026/01/26 | Published: 2025/10/8
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