The effects of cognitive behavioral therapy for insomnia in people with type 2 diabetes mellitus, pilot RCT part II: diabetes health outcomes
Open accessPublished version of a preprint
Abstract
BACKGROUND: Previous studies have shown the negative impact of sleep disturbances, specifically insomnia symptoms, on glucose metabolism for people with type 2 diabetes (T2D). People with insomnia symptoms are at risk of poor glycemic control and suboptimal diabetes self-care behavior (DSCB). Investigating the impact of a safe and effective intervention for individuals with T2D and insomnia symptoms on diabetes' health outcomes is needed. Therefore, the aim of this exploratory study is to examine the effects of Cognitive Behavioral Therapy for Insomnia (CBT-I) on glycemic control, DSCB, and fatigue. METHODS: Twenty-eight participants with T2D and insomnia symptoms, after passing an eligibility criteria at a medical research center, were randomly assigned to CBT-I (n = 14) or Health Education (HE; n = 14). The CBT-I and HE groups received 6 weekly one-hour sessions. This Randomized Controlled Trial (RCT) used a non-inferiority framework to test the effectiveness of CBT-I. Validated assessments were administered at baseline and post-intervention to assess glycemic control, DSCB, and fatigue. A Wilcoxon signed-rank test was utilized to compare within-group changes from baseline to post-intervention. A Mann-Whitney test was utilized to measure the between-group differences. Linear regression was used to assess the association between the blood glucose level and the number of days in the CBT-I group. RESULTS: The recruitment duration was from October 2018 to May 2019. A total of 13 participants completed the interventions in each group and are included in the final analysis. No adverse events, because of being a part of this RCT, were reported. CBT-I participants showed significantly greater improvement in glycemic control, DSCB, and fatigue. There was a significant association between the number of days in the CBT-I intervention with the blood glucose level before bedtime (B = -0.56, p = .009) and after awakening in the morning (B = -0.57, p = .007). CONCLUSIONS: This study demonstrated a clinically meaningful effect of CBT-I on glycemic control in people with T2D and insomnia symptoms. Also, CBT-I positively impacted daytime functioning, including DSCB and fatigue. Future research is needed to investigate the long-term effects of CBT-I on laboratory tests of glycemic control and to understand the underlying mechanisms of any improvements. TRIAL REGISTRATION: Clinical Trials Registry ( NCT03713996 ). Retrospectively registered on 22 October 2018.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The 0.14% reduction in HbA1c is clinically significant based on the American Diabetes Association criteria.
“Moreover, we found a 0.14% reduction in HbA 1c suggesting a clinically significant decrease based on the American Diabetes Association criteria 20,65 .”
From The efficacy of cognitive behavioral therapy-based intervention on patients with diabetes: a meta-analysis (2022) · cites this paper as [20]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 49 · Cited by 41
Research works printed but not linked: 1
- [35]Perlis M Jungquist C Smith M Posner D Cognitive behavioral treatment of insomnia: a session-by-session guide 2008 New York Springer
- Authors
- Alshehri, M. M., Alothman, S. A., Alenazi, A. M., Rucker, J. L., Phadnis, M. A., Miles, J. M., Siengsukon, C. F., & Kluding, P. M.
- Affiliations
- University of Kansas Medical Center (US)
- Princess Nourah bint Abdulrahman University (SA)
- Prince Sattam Bin Abdulaziz University (SA)
- Corresponding author
- Alshehri, Mohammed M.
- Alenazi, Aqeel M.
- ORCID
- Venue
- BMC Endocrine Disorders
- Published
- 2020-09-05
- Volume
- 20
- Issue
- 1
- Pages
- 136-136
- ISSN
- 1472-6823 (ISSN-L)
- PMC
- PMC7487570
- OpenAlex
- W3083313729
- Cited by
- 41
- References
- 49
- Citations by year
- 2026: 4 · 2025: 11 · 2024: 3 · 2023: 8 · 2022: 10 · 2021: 5
- FWCI
- 5.56
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- BMC Endocrine Disorders (publishedVersion, cc-by)
- Research Square (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Princess Nourah Bint Abdulrahman University
- Deanship of Scientific Research, Princess Nourah Bint Abdulrahman University
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Physiology › Obstructive Sleep Apnea Research
- Keywords
- cognitive behavioral therapy for insomnia, type 2 diabetes, insomnia symptoms, glycemic control, diabetes self-care behavior, fatigue, sleep disorders, health education, non-inferiority, blood glucose
- MeSH terms
- Adult, Aged, Diabetes Mellitus, Type 2, Fatigue, Female, Glycated Hemoglobin, Humans, Sleep Initiation and Maintenance Disorders, Male, Middle Aged, Pilot Projects, Cognitive Behavioral Therapy, Treatment Outcome, Outcome Assessment, Health Care
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review