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A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
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Prediction model for abnormal eating behaviour among hospital nurses: A structural equation modelling approach
Oksoo Kim1,2, Heeja Jung3
1College of Nursing, Ewha Research Institute of Nursing Science, Ewha Womans University, Seoul, South Korea.
International Journal of Nursing Practice
|August 7, 2021
Summary
Poor sleep quality and passive coping significantly impact abnormal eating behaviors in nurses. Addressing these factors is crucial for improving nurse well-being and preventing unhealthy eating patterns.
Area of Science:
- Nursing Research
- Occupational Health
- Behavioral Science
Background:
- Nurses face a high risk of developing abnormal eating behaviors.
- Limited research exists on the influencing factors of abnormal eating behaviors in nurses.
Purpose of the Study:
- To identify predictive factors for abnormal eating behaviors among hospital nurses.
- To investigate the relationships between shift work, job stress, depression, sleep quality, fatigue, coping strategies, and abnormal eating behaviors.
Main Methods:
- Cross-sectional, descriptive correlational research design.
- Hypothetical model developed from literature review, including eight factors.
- Structural equation modeling used to test the model with data from 298 nurses.
Main Results:
- Poor sleep quality and passive coping directly predict abnormal eating behaviors.
- Shift work and depression indirectly influence abnormal eating behaviors.
- Increased passive coping and decreased sleep quality exacerbate abnormal eating behaviors.
Conclusions:
- Nursing managers and policymakers should implement strategies to improve shift work patterns and rest periods.
- Educational programs to enhance coping strategies are recommended for hospital nurses.
- Interventions targeting sleep quality and coping mechanisms can mitigate abnormal eating behaviors in nurses.
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