Predictors of Resilience Among Patients Living With Heart Failure Amid Escalating Sociopolitical Challenges: A Cross-Sectional Approach.
Hiba Deek, Angela R Massouh, Wassim Shatila
PMID 42745362WHAT IT FOUND
Self-care maintenance and management, not depression or quality of life, predicted resilience in heart failure patients.
Nurses should focus education on these self-care behaviours rather than assuming psychological distress drives poor adaptation.
Key findings
01Higher self-care maintenance and management scores were significant predictors of higher resilience in multivariable analysis, while depression and quality of life were not.
02Female participants had significantly lower resilience scores than males after adjustment, and those using loop diuretics had higher resilience scores.
03Resilience showed a non-significant negative correlation with quality of life, contrasting with most literature which finds a positive association.
STILL TO COME
How it was doneWhat they foundWhat it means for RNs
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What it does not show
The cross-sectional design prevents establishing causality between self-care behaviours and resilience. Convenience sampling may limit generalisability and introduce selection bias. Self-reported data are susceptible to social desirability bias. The negative correlation between resilience and quality of life was not statistically significant and contradicts existing literature, requiring cautious interpretation.
Declared interests
The authors declare no conflicts of interest. AI-assisted language support was used during revision for clarity and readability.
The easy way to misread this
Do not assume that improving quality of life or reducing depression will automatically increase resilience. The study found no significant association between resilience and quality of life, and depression was not a predictor in the multivariable model.