4.6 Article

Resilience in cancer patients and how it correlates with demographics, psychological factors, and lifestyle

Journal

JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
Volume 149, Issue 8, Pages 5279-5287

Publisher

SPRINGER
DOI: 10.1007/s00432-022-04480-6

Keywords

Resilience; Cancer; Multicentric cross-sectional study; Self-efficacy; General life satisfaction; Sense of coherence

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This study explores the importance of resilience in cancer treatment and its associations with demographics and psychological factors. The results show significant correlations between resilience and education, income, and time since receiving diagnosis. Resilience is also associated with self-efficacy, sense of coherence, and general satisfaction with life. Detecting at-risk patients and strengthening their resilience are crucial aspects to focus on in cancer treatment.
Background Being diagnosed with cancer is challenging. Many patients wish to be actively involved in treatment and contribute to therapy, but the patients' coping abilities and desire for involvement differ. The individual level of resilience seems to play a major role. Our study aims to learn more about the associations of resilience and factors as demographics and psychological factors. Methods This multicentric cross-sectional study was conducted in ten oncological centers in Germany in summer 2021. The questionnaire collected information on demographics, resilience, self-efficacy, general satisfaction with life, and sense of coherence. Considered lifestyle-aspects were diet and physical activity. 416 patients were included in the analyses. Results A moderate mean resilience score was achieved (M = 69). Significant correlations in demographics were found for resilience and education (r = 0.146, p = 0.003), income (r = 0.205, p = 0.001), and time since receiving diagnosis (r = - 0.115, p = 0.021). Resilience and self-efficacy correlated on a high level (r = 0.595, p < 0.001), resilience and sense of coherence, and resilience and general satisfaction with life in a moderate way (r = 0.339, p < 0.001; r = 0.461, p = 0.001). Conclusions Resilience portrays an important aspect in cancer treatment. Detecting patients at risk, stabilizing, or improving resilience are important to focus on and strengthen them accordingly. Possible negatively influencing factors (e.g., low self-efficacy) need to be considered. Factors affecting resilience but difficult to influence, as educational background, should be screened for. Also, the combination of low resilience and low income seems to describe a vulnerable patient group.

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