Latent profile analysis of anxiety, depression, and resilience among elderly colorectal cancer patients in China

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Abstract
In China, most colorectal cancer patients aged 65 years and above often suffer from poor psychological states, including high levels of anxiety and depression, as well as low resilience, due to the disease and its related symptoms. Analyzing the heterogeneity of anxiety, depression, and resilience in these patients can help intervene timely to improve their psychological well-being and prognosis. It was a cross-sectional study, and participants were recruited at the Affiliated Hospital of Qingdao University. Latent profile analysis (LPA) was used to determine the optimal latent profile model, one-way analysis of variance (ANOVA) was conducted to compare the differences across each latent profile, multinomial logistic regression was employed to analyze the influencing factors. 221 older colorectal cancer patients were identified and classified as low negative emotions and high resilience (49.8%), medium negative emotions, low and unstable resilience (30.8%) and high negative emotions and medium resilience (19.4%). There were significant differences in the scores of anxiety, depression, resilience and social support among these patients. Multinomial logistic regression showed that age, gender, marital status, employment, tumor size, positive lymph nodes, degree of differentiation, and social support were influential in these three profiles. Three heterogeneous subgroups of anxiety, depression, and resilience were identified among older patients with colorectal cancer.
Funding Information
  • Natural Science Foundation of Shandong Province (NO. ZR2020MG057, NO. ZR2020MG057)

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