AI Article Synopsis

  • This study explores how cognitive factors like pre-sleep arousal and sleep-related worry affect insomnia severity in college students over time.
  • Using data from 353 students at the start and 79 students a year later, the research highlights that pre-sleep arousal and sleep-related worry significantly contribute to current insomnia issues.
  • Importantly, sleep-related safety was identified as a key predictor for the persistence of insomnia over the year, suggesting it’s a crucial but often overlooked factor in insomnia development.

Article Abstract

Several studies have demonstrated the relevance of cognitive factors in the development of insomnia complaints, but very few have investigated how these factors influence the development of insomnia complaints over time. In this study we set out to investigate key factors associated with present insomnia severity and the development of insomnia complaints over time. We employed a two-wave longitudinal design where we measured insomnia severity, pre-sleep arousal, dysfunctional beliefs about sleep, sleep-related worry and safety-behaviours in a sample of students at baseline and 1 year later. At baseline, 353 respondents filled in the questionnaires and 79 completed these a year later. In the cross-sectional analyses, pre-sleep arousal and sleep-related worry were unique contributors to insomnia severity. Using baseline data to predict insomnia severity 1 year later, only sleep-related safety emerged as a predictor. These findings suggest that sleep-related worry and pre-sleep arousal are the primary factors influencing current severity. In terms of development and/or persistence, sleep safety may constitute a potentially underestimated factor.

Download full-text PDF

Source
http://dx.doi.org/10.1111/jsr.14381DOI Listing

Publication Analysis

Top Keywords

insomnia severity
16
development insomnia
12
insomnia complaints
12
pre-sleep arousal
12
sleep-related worry
12
sleep-related safety
8
insomnia
8
predict insomnia
8
complaints time
8
sleep-related
5

Similar Publications

Background: There is a bidirectional relationship between sleep and pain disturbances. Sleep disturbances increase the risk for chronic pain, while chronic pain can interfere with sleep. Hence, we assessed the subjective sleep characteristics of youth with functional abdominal pain disorders (FAPDs) compared to healthy youth and examined associations with gastrointestinal symptoms.

View Article and Find Full Text PDF

Background: Recent studies suggest that increased digital technology usage could be a factor in the rising occurrence and severity of headache episodes. The purpose of this cross-sectional study was to determine whether the severity of primary headaches (migraine and tension-type headache) is associated with problematic internet use taking many covariates into account.

Methods: We conducted an online cross-sectional survey using a quantitative, descriptive questionnaire, targeting university students enrolled in correspondence courses, aged 18 to 65.

View Article and Find Full Text PDF

Sleep discrepancy (negative discrepancy reflects worse self-reported sleep than objective measures, such as actigraphy, and positive discrepancy the opposite) has been linked to adverse health outcomes. This study is first to investigate the relationship between sleep discrepancy and brain glucose metabolism (assessed globally and regionally via positron emission tomography), and to evaluate the contribution of insomnia severity and depressive symptoms to any associations. Using data from cognitively unimpaired community-dwelling older adults ( = 68), cluster analysis was used to characterise sleep discrepancy (for total sleep time (TST), wake after sleep onset (WASO), and sleep efficiency (SE)), and logistic regression was used to explore sleep discrepancy's associations with brain glucose metabolism, while controlling for insomnia severity and depressive symptoms.

View Article and Find Full Text PDF

Shoulder periarthritis, a prevalent musculoskeletal disorder, causes significant pain and functional impairment, severely affecting patients' quality of life. With the increasing incidence of shoulder periarthritis linked to modern lifestyle changes, effective prevention and treatment strategies remain elusive. This study explores two areas: first, identifying risk factors for shoulder periarthritis through Mendelian randomization (MR) analysis, and second, designing a motion intervention system incorporating MediaPipe and virtual reality (VR) technology.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!