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Metadata

Name
Acceptance and Commitment Therapy for Insomnia
Repository
ClinicalTrials.gov
Identifier
clinicaltrials:NCT04866914
Description
Insomnia is a frequent complaint and is associated with impairments in physical and
psychological health. Although Cognitive-Behavioral Therapy (CBT) demonstrates effective
results for insomnia, there are those who do not respond to this type of intervention or
present difficulties in adherence. Acceptance and Commitment Therapy (ACT) presents itself as
a potentially useful intervention for the treatment of insomnia, for which, instead of
focusing on controlling the symptoms, the respective approach focuses on accepting the
feelings and thoughts associated, through value-based actions. The aim of this study is to
evaluate the effectiveness of ACT for chronic insomnia in adults. Participants will be 150
adults aged between 18 and 59 years, diagnosed with chronic insomnia who will be randomly
assigned to the ACT, CBT and wait list (WL) groups. For both groups (ACT and CBT), the
intervention will be performed in six group and weekly sessions. Assessments of sleep
patterns, insomnia, depression, anxiety, psychological flexibility, acceptance of sleep,
beliefs about sleep, personality traits will be performed in the pre-treatment,
post-treatment and six-month follow-up. After the intervention is completed, participants
will respond to an inventory of compliance and satisfaction. The results will be compared
using mixed ANOVA, followed by multiple comparison tests, where appropriate. For the primary
and secondary outcomes, the magnitude of the effect will be calculated. The size of the
effect will be calculated using the square partial eta and d of Cohen.
Data or Study Types
clinical trial
Keywords
Cognitive behavioral therapy, SLEEP, acceptance and commitment therapy, INSOMNIA
Source Organization
Unknown
Access Conditions
available
Year
2021
Access Hyperlink
https://clinicaltrials.gov/ct2/show/NCT04866914

Distributions

  • Encoding Format: HTML ; URL: https://clinicaltrials.gov/ct2/show/results/NCT04866914
This project was funded in part by grant U24AI117966 from the NIH National Institute of Allergy and Infectious Diseases as part of the Big Data to Knowledge program. We thank all members of the bioCADDIE community for their valuable input on the overall project.