Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

The Roles of Intrusive Visual Imagery and Verbal Thoughts in Pre-sleep Arousal of Patients with Insomnia Disorder: A Path Model

View through CrossRef
Insomnia disorder is one of the most common sleep disorders leading to significant distress and lower quality of life. Researchers have proposed that multiple factors such as hyperarousal, conditioning, worry or cortical arousal have roles in predisposition to, initiation, and perpetuation of insomnia disorder. Previously, only few studies investigated the differential effects of intrusive visual imagery and verbal thoughts on pre-sleep arousal or insomnia severity. The aim of the current study was to examine these effects , as well as the moderator role of visual imagery ability on the relationship between intrusive visual imagery and pre-sleep arousal. A path model comprising the variables of intrusive visual imagery, intrusive verbal thoughts, visual imagery ability, pre-sleep arousal, and insomnia severity was tested with 166 participants (Mage = 25.5, SD = 5.26) who met DSM-5 criteria for Insomnia Disorder and had Insomnia Severity Index scores over 8. The results indicated that intrusive visual imagery (β = .45, p < .001), but not intrusive verbal thoughts (β = .16, p = .07), significantly predicted pre-sleep arousal and pre-sleep arousal (β = .46, p < .001) predicted insomnia severity. In addition, the indirect effect of intrusive visual imagery via pre-sleep arousal (IE = .20, p < .001) on insomnia severity was significant. Finally, the moderator role of visual imagery ability on the relationship between intrusive visual imagery and pre-sleep arousal (R2 = .01, F (1, 162) = 2.56, p = .11) was not significant. Intrusive visual imagery plays a more important role in insomnia disorder than intrusive verbal thoughts. Interventions targeting pre-sleep visual imagery may help poor sleepers alleviate their insomnia severity.
Title: The Roles of Intrusive Visual Imagery and Verbal Thoughts in Pre-sleep Arousal of Patients with Insomnia Disorder: A Path Model
Description:
Insomnia disorder is one of the most common sleep disorders leading to significant distress and lower quality of life.
Researchers have proposed that multiple factors such as hyperarousal, conditioning, worry or cortical arousal have roles in predisposition to, initiation, and perpetuation of insomnia disorder.
Previously, only few studies investigated the differential effects of intrusive visual imagery and verbal thoughts on pre-sleep arousal or insomnia severity.
The aim of the current study was to examine these effects , as well as the moderator role of visual imagery ability on the relationship between intrusive visual imagery and pre-sleep arousal.
A path model comprising the variables of intrusive visual imagery, intrusive verbal thoughts, visual imagery ability, pre-sleep arousal, and insomnia severity was tested with 166 participants (Mage = 25.
5, SD = 5.
26) who met DSM-5 criteria for Insomnia Disorder and had Insomnia Severity Index scores over 8.
The results indicated that intrusive visual imagery (β = .
45, p < .
001), but not intrusive verbal thoughts (β = .
16, p = .
07), significantly predicted pre-sleep arousal and pre-sleep arousal (β = .
46, p < .
001) predicted insomnia severity.
In addition, the indirect effect of intrusive visual imagery via pre-sleep arousal (IE = .
20, p < .
001) on insomnia severity was significant.
Finally, the moderator role of visual imagery ability on the relationship between intrusive visual imagery and pre-sleep arousal (R2 = .
01, F (1, 162) = 2.
56, p = .
11) was not significant.
Intrusive visual imagery plays a more important role in insomnia disorder than intrusive verbal thoughts.
Interventions targeting pre-sleep visual imagery may help poor sleepers alleviate their insomnia severity.

Related Results

Determining the level of insomnia in postpartum women, comparing their age and child’s age
Determining the level of insomnia in postpartum women, comparing their age and child’s age
IntroductionStudies have shown that postpartum women are more affected by sleep disorders than women who have not given birth. Reasons for sleep disturbances include insufficient s...
Pengaruh Sleep Hygiene terhadap Kualitas Tidur Lansia dengan Insomnia
Pengaruh Sleep Hygiene terhadap Kualitas Tidur Lansia dengan Insomnia
The elderly are an age group that is very susceptible to insomnia. A Javanese proverb says that the elderly will "ngerti dowone bengi", because many elderly people experience sleep...
Nurse-delivered sleep restriction therapy to improve insomnia disorder in primary care: the HABIT RCT
Nurse-delivered sleep restriction therapy to improve insomnia disorder in primary care: the HABIT RCT
Background Insomnia is a prevalent and distressing sleep disorder. Multicomponent cognitive–behavioural therapy is the recommended first-line treatment, but access remains extremel...
138 Short Sleep and Insomnia as Independent Predictors of Obesity, Hypertension, and Diabetes
138 Short Sleep and Insomnia as Independent Predictors of Obesity, Hypertension, and Diabetes
Abstract Introduction Epidemiological evidence of short sleep’s (<6 hours) association with negative cardiometabolic heal...
Sleep Characteristics and Risk Factors in Patients with Comorbid Insomnia and Anxiety
Sleep Characteristics and Risk Factors in Patients with Comorbid Insomnia and Anxiety
Abstract Background Insomnia is a common sleep disturbance that often co-occurs with anxiety. While insomnia is a known risk factor for anxiety, ...
Sleep Quality and Insomnia Severity among Italian University Students: A Latent Profile Analysis
Sleep Quality and Insomnia Severity among Italian University Students: A Latent Profile Analysis
Insomnia is a widespread sleep disorder associated with physical and mental health conditions. Although the heterogeneity of insomnia presentations has been acknowledged, research ...
Classification and automatic scoring of arousal intensity during sleep stages using machine learning
Classification and automatic scoring of arousal intensity during sleep stages using machine learning
AbstractArousal during sleep can result in sleep fragmentation and various physiological effects, impairing cognitive function and raising blood pressure and heart rate. However, t...

Back to Top