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Kinesiophobia in patients with heart failure: concept analysis using Rodgers' evolutionary approach
Zhuzhu Qin1, Huanju Liu2, Yining Tao3
1Department of Nursing, Peoples Hospital of Deyang City, Deyang, Sichuan, China.
Kinesiophobia in heart failure (HF) patients involves symptom distress, avoidance, and cognitive bias. Understanding these factors is crucial for improving patient recovery and rehabilitation outcomes.
Area of Science:
- Cardiology
- Psychology
- Rehabilitation Science
Background:
- Kinesiophobia, or fear of movement, is a significant barrier for heart failure (HF) patients.
- It impedes physical activity, complicates disease management, and hinders recovery.
- A clear understanding of kinesiophobia is needed to improve patient care and rehabilitation strategies.
Purpose of the Study:
- To develop a comprehensive conceptual model of kinesiophobia in heart failure (HF) patients.
- To systematically analyze the attributes, antecedents, and consequences of kinesiophobia using Rodgers' evolutionary concept analysis method.
Main Methods:
- A systematic literature search was conducted across major databases (Web of Science, Embase, PubMed, CINAHL, PsycInfo).
- Thirty articles published up to 2025 were included for analysis.
- Rodgers' evolutionary concept analysis method guided the identification of key concept elements.
Main Results:
- Kinesiophobia in HF is characterized by symptom distress, complex emotional responses, avoidance behaviors, and cognitive bias.
- Antecedents include demographic, disease-related, psychological, physical, and social factors.
- Consequences involve physical deterioration, increased health risks, psychological burden, and impaired disease management.
Conclusions:
- This analysis deepens the understanding of kinesiophobia in heart failure patients.
- It highlights the need for early identification and targeted interventions to address fear of movement.
- Findings can guide clinicians in promoting physical activity, enhancing rehabilitation adherence, and improving patient outcomes.
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