Reliability and validity of the cancer-related dysfunctional beliefs and attitudes about sleep scale in cancer patients

BMC Psychiatry. 2024 Feb 20;24(1):144. doi: 10.1186/s12888-024-05580-y.

Abstract

Background: Insomnia is a common health problem among cancer patients, which is not only a physical problem but also a psychological problem. Sleep plays an important role in the mental and somatic rehabilitation of cancer patients, and the sleep beliefs and attitudes of cancer patients are key factors in improving their sleep situation and quality of life. The aim of this study was to translate the Cancer-Related Dysfunctional Beliefs and Attitudes about Sleep (C-DBAS-14) scale into Chinese and to validate its reliability and validity in cancer patients.

Method: The C-DBAS-14 scale was translated into Chinese using the backward and forward translation procedure. The reliability of the scale was measured by internal consistency, split-half reliability and retest reliability. The validity of the scale was assessed through the content validity indicators, exploratory factor analysis and validation factor analysis.

Result: The Cronbach's ɑ coefficient of the Chinese version of the C-DBAS-14 was 0.932 while the McDonald's omega coefficient (ω t) was 0.934. The split-half reliability coefficient was 0.908, and the test-retest reliability was 0.857. The four-factor model was obtained using exploratory factor analysis, explaining 72.7% of the variance, with each item loading greater than 0.4 on the common factor. The results of the confirmatory factor analysis revealed that all indicators of model fit were within an acceptable range, indicating a well-fitting model.

Conclusion: The Chinese version of the C-DBAS-14 has good reliability and validity among cancer patients. It can be used to measure the sleep beliefs and attitudes of Chinese cancer patients.

Keywords: Cancer patients; Insomnia; Reliability; Sleep beliefs and attitudes; Validity.

MeSH terms

  • China
  • Humans
  • Neoplasms* / complications
  • Psychometrics / methods
  • Quality of Life*
  • Reproducibility of Results
  • Sleep
  • Surveys and Questionnaires