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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
Department of Social and Psychological Studies, Karlstad University, Karlstad, Region Värmland, Sweden.
Department of Social and Psychological Studies, Karlstad University, Karlstad, Region Värmland, Sweden.
Department of Social and Psychological Studies, Karlstad University, Karlstad, Region Värmland, Sweden.
Crown Princess Victoria's Child and Youth Hospital, Linköping University Hospital, Linköping, Region Östergötland, Sweden; Department of Biomedical and Clinical Sciences (BKV), Linköping University, Linköping, Region Östergötland, Sweden.
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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, 2023. Vol. 15, p. 567-577
Keywords [en]
Anxiety, depression, insomnia, sleep, sleep diary, sleep robot, treatment response
National Category
Neurosciences Public Health, Global Health and Social Medicine
Identifiers
URN: urn:nbn:se:oru:diva-107482DOI: 10.2147/NSS.S408714ISI: 001031039800001PubMedID: 37465662OAI: oai:DiVA.org:oru-107482DiVA, id: diva2:1786706
Available from: 2023-08-09 Created: 2023-08-09 Last updated: 2025-02-20Bibliographically approved

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Norell-Clarke, Annika

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