Document Type : Original Article
Authors
1
Nursing Care Research Center in Chronic Diseases, Faculty of Nursing and Midwifery, Ahvaz, Jundishapur University of Medical Sciences, Ahvaz, Iran
2
Community-Oriented Nursing Midwifery Research Center, Nursing and Midwifery School, Shahrekord University of Medical Sciences, Shahrekord, Iran
3
Assistant professor, Department of Biostatistics and Epidemiology, School of health, Ahvaz, Jundishapur University of Medical Sciences, Ahvaz, Iran
Abstract
Introduction: Despite the special position of nurses in improving and maintaining the health of patients, they do not follow a suitable behavioral pattern to improve their health. The present study was conducted with the aim of designing and explaining the predictive model of eating habits in nurses working in teaching hospitals in Ahvaz.
Methods & Materials: In this study, 400 nurses working in hospitals affiliated to Ahvaz University of Medical Sciences in 2022 were selected using cluster sampling method. The study questionnaires included: demographic information questionnaire, depression, sleep quality, fatigue, adaptive strategies and healthy eating evaluation questionnaire. Data analysis was done by SPSS version 22 software.
Results: The results of the study showed that one unit increase in the total score of anxiety and depression (Beta = -0.235, P-value < 0.001) decreases the total score of healthy eating by 0.235 units. One unit increase in fatigue (Beta = -0.202, P-value < 0.001) decreases the total score of healthy eating by 0.202 units. One unit increase in the total compatibility score (Beta = -0.212, P-value<0.001) decreases the total healthy eating score by 0.212 units. One unit increase in total PSQI score (Beta=0.223, P-value < 0.001) decreases the amount of total healthy eating score by 0.223 units.
Conclusion: The amount of fatigue, compatibility and sleep quality have a negative effect on the score of eating habits. According to the reported coefficients, these three variables have a positive and stronger effect on the level of depression and anxiety. And the level of anxiety and depression has a stronger significant effect on eating habits with an inverse ratio. According to the reported coefficients, the impact of fatigue, adaptability and sleep quality on the level of anxiety and depression is in a direct direction and with relatively moderate intensity. In fact, it can be concluded that the three variables of fatigue, adaptability and sleep quality have an effect on the score of eating habits due to the level of depression and anxiety. In other words, by controlling depression and anxiety, you can control the nutrition score. If the level of anxiety and depression can be reduced, then the nutrition score can be improved.
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