ArticleFrontiers in public health2026
Relationship between resilience, social support, and mental health in breast cancer patients based on the four-quadrant health model.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Breast cancer is a major public health problem that exposes patients to persistent physical symptoms and psychological distress across diagnosis, treatment, and follow-up. Objective: This study explored the associations of resilience and social support with mental health indicators among individuals with breast cancer and examined whether a Four-Quadrant Health Model could distinguish clinically meaningful physical-psychological risk profiles. Methods: This secondary cross-sectional analysis used baseline data from a parent breast cancer care-management project. A convenience sample of 1,052 breast cancer inpatients and follow-up patients was analyzed. Measures included the Connor-Davidson Resilience Scale, Social Support Rating Scale, Hospital Anxiety and Depression Scale, Fear of Progression Questionnaire, and MD Anderson Symptom Inventory-Breast Cancer module. Primary analyses retained continuous scores for correlation and regression models. The four-quadrant classification was used as an additional clinical stratification framework based on physical symptom burden and HADS-defined psychological status. Pearson correlations, hierarchical multiple linear regression, and one-way ANOVA with robustness checks were used for statistical analysis. Results: Resilience showed a weak positive association with social support ( Conclusion: Higher resilience and stronger social support were independently associated with lower psychological distress among breast cancer patients, with resilience showing the stronger association. The Four-Quadrant Health Model distinguished clinically meaningful risk profiles and may support psychosocial triage when used alongside continuous assessment. Because this was a secondary cross-sectional analysis based on convenience sampling from one tertiary hospital, the findings should be interpreted as associations and confirmed in longitudinal, multi-center studies.
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