EconPapers    
Economics at your fingertips  
 

Effectiveness of Digital Cognitive Behavior Therapy for the Treatment of Insomnia: Spillover Effects of dCBT

Xinyi Li, Hongying Liu, Ming Kuang, Haijiang Li, Wen He and Junlong Luo
Additional contact information
Xinyi Li: Department of Psychology, Educational College, Shanghai Normal University, Shanghai 200234, China
Hongying Liu: Hangzhou Kang Sheng Health Consulting Co., Ltd., Hangzhou 310023, China
Ming Kuang: Hangzhou Kang Sheng Health Consulting Co., Ltd., Hangzhou 310023, China
Haijiang Li: Department of Psychology, Educational College, Shanghai Normal University, Shanghai 200234, China
Wen He: Department of Psychology, Educational College, Shanghai Normal University, Shanghai 200234, China
Junlong Luo: Department of Psychology, Educational College, Shanghai Normal University, Shanghai 200234, China

IJERPH, 2022, vol. 19, issue 15, 1-15

Abstract: The effects of digital Cognitive Behavior Therapy for insomnia (dCBT-i) on sleep quality have been previously demonstrated but the spillover effects on fatigue, flow (a state of immersion in activities of interest), and cognitive flexibility remain unclear. The current study examined the effectiveness of dCBT-i. A total of 97 college students (20.96 ± 1.87 years, 73.1% female students) were randomly selected from a shortlist and divided into sleep intervention ( n = 39), conventional education ( n = 37), and healthy control ( n = 21) groups. Task switching paradigm, Fatigue Severity Scale (FSS), Flow Experience Scale (FES), and the Chinese version of the Pittsburgh Sleep Quality Index (CPSQI) were measured pre- and post-intervention. Results show that the sleep quality of the intervention group improved, and fatigue was relieved. Participants in the sleep intervention group had increased flow experience scores post-intervention and improved cognitive flexibility. The control group’s sleep quality deteriorated and fatigue level increased. dCBT-i can not only achieve a significant improvement in sleep quality and reduce fatigue, but also improve learning abilities, quality of life, flow, and cognitive flexibility. Future research should pay attention to indicators such as work efficiency, sedative use, and the durability and stability of such effects.

Keywords: digital cognitive behavior therapy; insomnia; fatigue; flow; cognitive flexibility; spill-over effect (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/15/9544/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/15/9544/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:15:p:9544-:d:879556

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:9544-:d:879556