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Nutritional self-management in chronic diseases: a conceptual analysis.
Lingzhu Zhang1, Hongyan Li1, Tingting Huang1
1School of Nursing, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
This study defines nutritional self-management in chronic diseases, identifying six key attributes for better patient care. It establishes a framework to improve nutrition management and patient outcomes in chronic conditions.
Area of Science:
- Nutrition Science
- Chronic Disease Management
- Health Behavior
Background:
- Increasing global burden of chronic diseases necessitates optimized nutritional self-management.
- Current conceptualization of nutritional self-management lacks clarity and operational standards.
- Effective nutrition management is crucial for mitigating chronic disease progression and improving patient quality of life.
Purpose of the Study:
- To clarify the core definition of nutritional self-management in chronic diseases using conceptual analysis.
- To establish a scientific clinical evaluation framework for nutritional self-management.
- To inform evidence-based intervention strategies for chronic disease nutrition management.
Main Methods:
- Employed Walker and Avant's concept analysis approach.
- Conducted a comprehensive literature search across major databases (PubMed, Web of Science, CINAHL, Embase) up to 2024.
- Included 52 articles after rigorous screening.
Main Results:
- Defined nutritional self-management by six attributes: dietary adherence, patient-provider partnership, resource utilization, decision-making, role perception, and emotional regulation.
- Identified antecedents including sociodemographic factors, ability, opportunities, and motivation.
- Highlighted consequences impacting individual, family, and societal dimensions, fostering a positive cycle.
Conclusions:
- Developed a systematic conceptual model for nutritional self-management in chronic disease patients.
- Proposed a theoretically-grounded framework for developing assessment tools and guiding clinical research.
- Emphasized the need for contextual adaptation and future multi-center validation studies.
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