Nature and Science of Sleep (Jul 2023)
Mind, Body and Machine: Preliminary Study to Explore Predictors of Treatment Response After a Sleep Robot Intervention for Adults with Insomnia
Abstract
Siri Jakobsson Støre,1 Maria Tillfors,1 Erik Wästlund,1 Charlotte Angelhoff,2,3 Gerhard Andersson,3– 5 Annika Norell6,7 1Department of Social and Psychological Studies, Karlstad University, Karlstad, Region Värmland, Sweden; 2Crown Princess Victoria’s Child and Youth Hospital, Linköping University Hospital, Linköping, Region Östergötland, Sweden; 3Department of Biomedical and Clinical Sciences (BKV), Linköping University, Linköping, Region Östergötland, Sweden; 4Department of Behavioural Sciences and Learning, Linköping University, Linköping, Region Östergötland, Sweden; 5Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Region Stockholm, Sweden; 6School of Behavioural, Social and Legal Sciences, Örebro University, Örebro, Region Örebro län, Sweden; 7Faculty of Health Sciences, Kristianstad University, Kristianstad, Region Skåne, SwedenCorrespondence: Siri Jakobsson Støre, Department of Social and Psychological Studies, Karlstad University, Karlstad, SE-651 88, Sweden, Email [email protected]: 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.Keywords: anxiety, depression, insomnia, sleep, sleep diary, sleep robot, treatment response
