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Cited by 4Sleep and related disordersAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesObstructive Sleep Apnea Research

Improving mental health and daytime function in adult insomnia patients predict cognitive behavioral therapy for insomnia effectiveness: A case-control study

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Shin, Jung-Won, Kim, Seonyeop, Park, Bomi, Shin, Yoon Jung, Park, Sunyoung·2023·Sleep Medicine: X
DOI 10.1016/j.sleepx.2023.100071PMC PMC10119957
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Abstract

This study investigated demographic, sleep related symptoms and mental health status as predictors of clinically significant treatment responses to cognitive behavioral therapy in adults who have good adherence for the cognitive behavioral therapy for insomnia (CBT-I) program in primary insomnia. A total of 42 adults with primary insomnia disorder were treated with CBT-I at a university hospital from June 2020 to January 2021. Demographic variables were surveyed and sleep-related symptoms were measured using self-reported questionnaires before and after the intervention, comprising a 6-week interval. The treatment responder group was defined as patients with an Insomnia Severity Index change score >7 compared to baseline. Logistic regression and paired t-test examined whether these factors predicted treatment outcomes for CBT-I. Demographic variables did not predict treatment outcomes. Higher levels of anxiety were associated with a higher likelihood of treatment response (odds ratio [OR] = 1.234; confidence interval [CI]: 1.008–1.511). More severe insomnia at baseline was associated with a greater likelihood of treatment response (OR = 1.450; CI: 1.121–1.875). The lesser the dysfunctional beliefs and attitudes about sleep, the more effective the treatment response (OR = 0.943; CI: 0.904–0.984). Unlike the group of treatment responders, daytime function, depressive mood, and anxiety status did not improve in the group of treatment non-responders after CBT-I intervention. Patients with severe insomnia and anxiety at baseline should be treated more aggressively with CBT-I. During treatment, patients’ mental health problems and daytime activities should be continuously monitored, in order to help improve these problems which might strengthen the effectiveness of CBT-I.

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Authors
Shin, J.-W., Kim, S., Park, B., Shin, Y. J., & Park, S.
Affiliations
  • CHA University Bundang Medical Center (KR)
  • CHA University (KR)
Corresponding author
Shin, Jung-Won
ORCID
Venue
Sleep Medicine: X
Publisher
Elsevier BV
Published
2023-12
Volume
5
Pages
100071
ISSN
2590-1427 (ISSN-L)
DOI
10.1016/j.sleepx.2023.100071
PMC
PMC10119957
OpenAlex
W4362510573
Cited by
4
References
43
Citations by year
2026: 2 · 2024: 1 · 2023: 1
FWCI
1.03
Type
journal article
Language
en
Open access
Licence
Locations
  • Sleep Medicine X (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Health Sciences › Medicine › Physiology › Obstructive Sleep Apnea Research
Keywords
cognitive behavioral therapy for insomnia, primary insomnia, treatment response prediction, anxiety, insomnia severity, dysfunctional beliefs about sleep, daytime functioning, depressive mood, mental health, medication adherence

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