학술논문

Mind, Body and Machine: Preliminary Study to Explore Predictors of Treatment Response After a Sleep Robot Intervention for Adults with Insomnia
Document Type
Artikel
Source
Nature and Science of Sleep. 15:567-577
Subject
Medical and Health Sciences (3)
Health Sciences (303)
Public Health
Global Health
Social Medicine and Epidemiology (30302)
Medicin och hälsovetenskap (3)
Hälsovetenskap (303)
Folkhälsovetenskap
global hälsa
socialmedicin och epidemiologi (30302)
Language
English
ISSN
1179-1608
Abstract
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.