Dysfunctional Beliefs and Attitudes about Sleep-6 (DBAS-6): Data-driven shortened version from a machine learning approach.

Journal: Sleep medicine
PMID:

Abstract

BACKGROUND: The Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS-16) is a widely used self-report instrument for identifying sleep-related cognition. However, its length can be cumbersome in clinical practice. This study aims to develop a data-driven shortened version of the DBAS-16 that efficiently predicts the DBAS-16 total score among the general population.

Authors

  • Hyeontae Jo
    Basic Science Research Institute, Pohang University of Science and Technology, Pohang, Republic of Korea.
  • Hong Jun Jeon
    Department of Psychiatry, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea.
  • Junseok Ahn
    Department of Psychiatry, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
  • Saebom Jeon
    Biomedical Mathematics Group, Pioneer Research Center for Mathematical and Computational Sciences, Institute for Basic Science, Daejeon, 34126, Republic of Korea; Department of Marketing Bigdata, Mokwon University, Republic of Korea. Electronic address: alwaysns@mokwon.ac.kr.
  • Jae Kyoung Kim
    Biomedical Mathematics Group, Pioneer Research Center for Mathematical and Computational Sciences, Institute for Basic Science, Daejeon, 34126, Republic of Korea; Department of Mathematical Sciences, KAIST, Daejeon, 34141, Republic of Korea. Electronic address: jaekkim@kaist.ac.kr.
  • Seockhoon Chung
    Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Republic of Korea. Electronic address: schung@amc.seoul.kr.