The Discrepancy-Cognitive Arousal Model of Insomnia Among the General Population
- Abstract
- Background and Objective
We aimed to explore the Discrepancy-Cognitive Arousal model among the general population, applying the discrepancy between desired time in bed and desired total sleep time (DBST index), dysfunctional beliefs about sleep, and sleep-related metacognitive processes.
Methods
An anonymous online survey study was conducted among the general population between January 10 and 18, 2022. The survey form included a questionnaire for demographic characteristics and rating scales such as Insomnia Severity Index (ISI), Dysfunctional Beliefs and Attitudes about Sleep–16 items (DBAS-16), and Metacognition Questionnaire for Insomnia–14 items (MCQI-14). In addition, questions for measuring participants’ DBST index were included.
Results
A total of 374 participants’ responses were analyzed. The ISI score was predicted by the DBST index (β = 0.11, p = 0.008), DBAS-16 (β = 0.37, p < 0.001), and MCQI-14 (β = 0.30, p < 0.001) in the linear regression analysis. In the mediation model, the DBST index directly predicted insomnia severity, and dysfunctional beliefs about sleep and sleep-related metacognitive processes mediated this relationship.
Conclusion
We observed that the Discrepancy-Cognitive Arousal model of insomnia was feasible among the general population.
- Author(s)
- The Discrepancy-Cognitive Arousal Model of Insomnia Among the General Population
- Issued Date
- 2023
Seockhoon Chung
Inn-Kyu Cho
Dongin Lee
Jiyoung Kim
Kayoung Song
Eulah Cho
- Type
- Article
- Keyword
- Metacognition; Insomnia; Sleep; Attention; DBST index
- DOI
- 10.17241/smr.2023.01914
- URI
- https://oak.ulsan.ac.kr/handle/2021.oak/16312
- Publisher
- Sleep Medicine Research
- Language
- 한국어
- ISSN
- 2093-9175
- Citation Volume
- 14
- Citation Number
- 4
- Citation Start Page
- 183
- Citation End Page
- 187
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Appears in Collections:
- Medicine > Nursing
- 공개 및 라이선스
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