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Mind, Body and Machine: Preliminary Study to Explore Predictors of Treatment Response After a Sleep Robot Intervention for Adults with Insomnia.
Karlstad Univ, Sweden.
Karlstad Univ, Sweden.
Karlstad Univ, Sweden.
Region Östergötland, Center of Paediatrics and Gynaecology and Obstetrics, H.K.H. Kronprinsessan Victorias barn- och ungdomssjukhus. Linköping University, Department of Biomedical and Clinical Sciences, Division of Children's and Women's Health. Linköping University, Faculty of Medicine and Health Sciences.ORCID iD: 0000-0002-0174-8630
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2023 (English)In: Nature and Science of Sleep, ISSN 1179-1608, Vol. 15, p. 567-577Article in journal (Refereed) Published
Abstract [en]

INTRODUCTION: The study aimed to explore characteristics of responders to a sleep robot intervention for adults with insomnia, and the likelihood that participants responded to the intervention.

METHODS: Data from the intervention and the control group in a randomized waitlist-controlled trial (n = 44) were pooled together after both had undergone the intervention. A repeated measures ANOVA and Friedman tests were used to explore changes over time. Differences in baseline characteristics between responders (n = 13), defined as a reduction of -5 on the Insomnia Severity Index from pre- to post-intervention, and non-responders (n = 31) were analyzed with t-tests and chi-square tests. Finally, logistic regression models were estimated.

RESULTS: Baseline anxiety was the only statistically significant difference between responders and non-responders (p = 0.03). A logistic regression model with anxiety and sleep quality as predictors was statistically significant, correctly classifying 83.3% of cases.

DISCUSSION: The results imply that people with lower anxiety and higher sleep quality at baseline are more likely to report clinically significant improvements in insomnia from the sleep robot intervention.

Place, publisher, year, edition, pages
DOVE MEDICAL PRESS LTD , 2023. Vol. 15, p. 567-577
Keywords [en]
anxiety, depression, insomnia, sleep, sleep diary, sleep robot, treatment response
National Category
Applied Psychology
Identifiers
URN: urn:nbn:se:liu:diva-196579DOI: 10.2147/NSS.S408714ISI: 001031039800001PubMedID: 37465662OAI: oai:DiVA.org:liu-196579DiVA, id: diva2:1787590
Available from: 2023-08-14 Created: 2023-08-14 Last updated: 2024-04-16

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Angelhoff, CharlotteAndersson, Gerhard

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H.K.H. Kronprinsessan Victorias barn- och ungdomssjukhusDivision of Children's and Women's HealthFaculty of Medicine and Health SciencesPsychologyFaculty of Arts and SciencesDepartment of Biomedical and Clinical Sciences
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