Jun Tian1, Jin-Sheng Hong1. 1. Jun Tian, Department of Epidemiology and Health Statistics, Fujian Medical University, Fuzhou 350004, Fujian Province, China.
Abstract
AIM: To study the relationship between resilience and quality of life (QOL) in patients with digestive cancer. METHODS: The resilience of patients was measured prior to treatment, and their psychological distress, fatigue status, and treatment side effects were assessed 3 wk after. Their QOL was measured after their treatment ended. A relationship model of these variables was constructed using path analysis. RESULTS: Resilience explained 33.2% of the variance in psychological distress, 16.1% of the variance in fatigue, and 1.23% of the variance in side effects. The relationship between resilience and QOL was statistically significant (β = 0.119, t = 4.499, P < 0.001) when psychological distress, fatigue, and side effects were absent from the regression model, whereas the adjusted regression coefficient of resilience was not statistically significant (t = 1.562, P > 0.05) when these variables were added. Psychological distress, together with fatigue and side effects, could explain 52.40% of the variance in QOL (P < 0.05). Physiological distress accounted for 28.94% of the total effect on QOL, fatigue accounted for 33.72%, side effects accounted for 22.53%, and resilience accounted for 14.80%. CONCLUSION: Resilience is not an independent predictor of QOL in patients with digestive cancer, but it is a main factor influencing psychological distress and side effects.
AIM: To study the relationship between resilience and quality of life (QOL) in patients with digestive cancer. METHODS: The resilience of patients was measured prior to treatment, and their psychological distress, fatigue status, and treatment side effects were assessed 3 wk after. Their QOL was measured after their treatment ended. A relationship model of these variables was constructed using path analysis. RESULTS: Resilience explained 33.2% of the variance in psychological distress, 16.1% of the variance in fatigue, and 1.23% of the variance in side effects. The relationship between resilience and QOL was statistically significant (β = 0.119, t = 4.499, P < 0.001) when psychological distress, fatigue, and side effects were absent from the regression model, whereas the adjusted regression coefficient of resilience was not statistically significant (t = 1.562, P > 0.05) when these variables were added. Psychological distress, together with fatigue and side effects, could explain 52.40% of the variance in QOL (P < 0.05). Physiological distress accounted for 28.94% of the total effect on QOL, fatigue accounted for 33.72%, side effects accounted for 22.53%, and resilience accounted for 14.80%. CONCLUSION: Resilience is not an independent predictor of QOL in patients with digestive cancer, but it is a main factor influencing psychological distress and side effects.
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