predicting quality of life based on early maladaptive schemas and personality traits in women with breast cancer

Background: cancer is one of the most common diseases in the world, and more than 30,000 iranians die of cancer every year. this study aimed to predict the quality of life based on early maladaptive schemas and personality traits in women with breast cancer. objectives: the method of the current study was descriptive-correlational. the statistical population of the study included 240 women with breast cancer referring to jam hospital in tehran, iran, in 2019, out of whom 144 individuals were selected using convenience sampling. the data were obtained using the quality of life questionnaire, young schema questionnaire-short form, personality traits questionnaire, and early ineffective schema questionnaire. the data were analyzed by pearsonʼs correlation coefficient and linear regression using spss software (version 22). methods: this correlational study was conducted using the path analysis statistical method. the statistical population (n=195) included all middle-aged patients with diabetes referred to the endocrinologists of bushehr province, iran, in 2019 and selected by the availability sampling method. the instrument used to collect data were questionnaires, namely a demographic form, the sf-36 health-related quality of life questionnaire, diabetes self-care questionnaire, pittsburgh sleep quality questionnaire, and mental well-being scale. the data were analyzed in spss software (version 22) and amos software (version 22) using the path analysis method. results: the obtained results showed that the quality of life has a predictive role based on early maladaptive schemas and personality traits in women with breast cancer (p<0.001). the results of the regression coefficient indicated that quality of life can predict agreeableness (β=0.38), social isolation/alienation (β=-0.26), distress (β=-0.22), pleasantness (β=0.26), and obedience (β=0.17). conclusion: it can be concluded that the quality of life has a predictive role based on early maladaptive schemas and personality traits in women with breast cancer