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. 2023 Jul 10;9(7):e18146.
doi: 10.1016/j.heliyon.2023.e18146. eCollection 2023 Jul.

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

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

Indira Karibayeva et al. Heliyon. .

Abstract

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.

Keywords: BDI-II; Breast cancer; Population norms; Psychometric properties; Self-report questionnaire.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
Research framework.
Fig. 2
Fig. 2
Receiver operating characteristics analysis of the Beck Depression Inventory Abbreviations: ROC – receiver operating characteristics.

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