Abstract
BACKGROUND: This study was conducted to examine the effect of hope and psychological well-being on quality of life in elderly cancer patients using latent profile analysis (LPA). METHOD: The study was conducted with 398 elderly cancer patients in Ataturk University Research in Turkey between September 2024 and January 2025. R programming language 4.1.3, G*Power 3.1 and SPSS-22 program were used in the analysis of the study. RESULTS: In our study, in the first stage of LPA analysis, BIC values were obtained by iterating each model and each class for 4 models and 9 classes. Since the lowest BIC value was found in the EEE model, the EEE model was considered as the appropriate model in the study and the class analysis was performed over this model. It is concluded that the best fitting class is the 2-class solution. As a result of LPA, class 1 has the lowest arithmetic mean in all indicators. According to the latent classes of the individuals in our study; it was found that the quality of life of individuals with Low Psychological Status was significantly lower than individuals with High Psychological Status (p < 0.05). CONCLUSION: In our study, two classes were found as a result of LPA. According to the classes, it was found that the quality of life of individuals with low psychological status was lower than individuals with high psychological status. Increased hope and psychological well-being were found to improve quality of life in elderly cancer patients. Longitudinal studies on quality of life in elderly cancer patients are recommended.