Abstract
BACKGROUND: Differentiated thyroid cancer (DTC) often seriously impacts patients' lives. Radionuclide Iodine-131 ((131)I) is widely used in treating patients with DTC. However, most patients know little about radionuclide therapy, and the treatment needs to be performed in a special isolation ward, which can cause anxiety and depression. AIM: To explore anxiety and depression status and their influencing factors after (131)I treatment in patients with DTC. METHODS: A questionnaire survey was conducted among postoperative patients with DTC who received (131)I treatment at our hospital from June 2020 to December 2022. General patient data were collected using a self-administered demographic characteristics questionnaire. The self-rating depression scale and self-rating anxiety scale were used to determine whether patients were worried about their symptoms and the degree of anxiety and depression. The patients were cate-gorized into anxiety, non-anxiety, depression, and non-depression groups. Single-variable and multiple-variable analyses were used to determine the risk factors for anxiety and depression in patients with thyroid cancer after surgery. RESULTS: A total of 144 patients were included in this study. The baseline mean score of self-rating anxiety and depression scales were 50.06 ± 16.10 and 50.96 ± 16.55, respectively. Notably, 48.62% (70/144) had anxiety and 47.22% (68/144) of the patients had depression. Sex, age, education level, marital status, household income, underlying diseases, and medication compliance significantly differed among groups (P < 0.05). Furthermore, multivariate logistic regression analysis showed that education level, per capita monthly household income, and medication compliance level affected anxiety (P = 0.015, 0.001, and 0.001 respectively. Patient's sex, marital status, and underlying diseases affected depression (P = 0.007, 0.001, and 0.009, respectively). CONCLUSION: Nursing interventions aiming at reducing the risk of anxiety and depression should target unmarried female patients with low education level, low family income, underlying diseases, and poor adherence to medications.