Kazakh version of the beck depression inventory: Validation study in female cancer patients.

This study aimed to evaluate the validity of the Beck Depression Inventory (BDI-II) as a screening tool for depression among Kazakh-speaking female cancer patients. A cross-sectional study design with random sampling was used to collect and analyze data from 115 female cancer patients. Means, sensitivity, specificity, and positive and negative predictive values were calculated. An analysis of receiver operating characteristic (ROC) curves was conducted to determine the optimal cut-off score for the BDI-II in this population as a screening tool for depression. Test-retest reliability and internal consistency were also tested. Results showed that using a BDI-II cut score of 15 retained high sensitivity (82.7%), increased specificity (75.0%), and improved positive (86.1%) and negative predictive values (69.8%) of the BDI-II compared to a cut score of 14. Kazakh BDI-II indicated excellent consistency (Cronbach's alpha of 0.86) and reliability (intraclass correlation coefficient (ICC) of 0.92 (95% CI [0.89-0.94])). The use of this valid screening tool can facilitate the diagnosis of depression in female cancer patients.

Prevalence of Anxiety Symptoms in Women Newly Diagnosed with Breast Cancer in Kazakhstan and Its Associated Factors.

INTRODUCTION: Diagnosis of breast cancer is associated with high psychological distress. There is a lack of studies examining the prevalence of anxiety among newly diagnosed breast cancer patients in Kazakhstan. OBJECTIVE: This study aims to assess the mean prevalence and associated sociodemographic and clinical factors of anxiety symptoms in women newly diagnosed with breast cancer. It also aims to determine independent predictors of anxiety risk. METHODS: An analysis of 162 newly diagnosed breast cancer patients at the oncology institute in Almaty was performed. Data were collected using a structured questionnaire on social, demographic, and clinical information, as well as the Beck Anxiety Inventory. In addition, multiple regression analysis was used to model the relationship between anxiety risk and independent predictors. RESULTS: The average age of the patients was 54.41 years (SD=8.1; min.-max: 32-75). The majority of the patients were married (52%), employed or self-employed (51%), had children (91%), had a bachelor's or a graduate degree (50%), lived in an urban area (54%), did not drink (41%), did not smoke (67%), did not engage in physical activity (54%), and had social support (91%). A total of 48% of patients had symptoms of moderate anxiety, and 33% had symptoms of severe anxiety. Based on the multivariate analysis, factors associated with a lower risk of anxiety symptoms included higher household income (OR -2.21 (95 CI: -1.35, -3.07)) and having reliable social support (OR -2.93 (95% CI: -2.25, -3.61)). CONCLUSION: The prevalence of anxiety symptoms is very high among newly diagnosed breast cancer patients. Anxiety is more likely to develop in patients from low-income households and those without reliable social support.

Prevalence and Associated Factors of Depression Symptoms in Women Newly Diagnosed with Breast Cancer in Kazakhstan.

INTRODUCTION: Diagnosis of breast cancer is associated with the presence of psychological disorders including depression. There is a lack of study examining the prevalence of depression among newly diagnosed breast cancer patients in Kazakhstan. OBJECTIVE: This study aims to assess the prevalence and associated sociodemographic and clinical factors of depression symptoms in women newly diagnosed with breast cancer. METHODS: 162 newly diagnosed breast cancer patients at the oncology center in Almaty were recruited for this study. Data were collected using a structured questionnaire on sociodemographic and clinical information and the Beck Depression Inventory-II scale. RESULTS: The mean age of the patients was 54.41 years (SD=8.1). 95% of participants had unilateral breast cancer, and 79% of participants had stage I or stage II breast cancer. 73% of patients said that they do not have reliable social support. 46% of patients had symptoms of moderate depression, and 31% of patients had symptoms of severe depression. According to the multivariate analysis, factors associated with depression symptoms were: social status, household income level, reliability of social support, and stage of breast cancer. CONCLUSION: The prevalence of depression symptoms is very high among newly diagnosed breast cancer patients. Unemployed or retired patients, with a lower household income, and no reliable social support diagnosed with an advanced stage of breast cancer are especially at high risk for developing depression.