Mapping insomnia symptoms and circadian preference to psychopathological dimensions in men and women across the lifespan
| Autor: | Sarsembayeva, Dina, Hartman, Catharina, Schreuder, Marieke, Reif, Andreas |
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| Rok vydání: | 2022 |
| Předmět: |
Psychiatry
Sleep Medicine circadian rhythm sex differences Mental and Social Health insomnia Psychiatry and Psychology Social and Behavioral Sciences psychopathology Behavior and Behavior Mechanisms FOS: Psychology Psychological Phenomena and Processes Neurology chronotype Medicine and Health Sciences Medical Specialties latent class analysis Psychology Child Psychology sleep lifespan mental health |
| DOI: | 10.17605/osf.io/fm4b3 |
| Popis: | Sleep problems as indicated by insomnia and altered circadian rhythm are associated with different mental disorders but more precise knowledge is lacking (Walker et al. 2020; Logan and McClung 2019). As cross-disorder phenomena, insomnia and delayed circadian rhythm may potentially account for the comorbidity between disorders (Logan and McClung 2019; Baglioni et al. 2016). Mapping overlap and differences of distinct sleep profiles across different dimensions of psychopathology in men and women across the lifespan may improve diagnosis and aid prevention and treatment in mental health care (Walker et al. 2020; Jones and Benca 2015; Humpston et al. 2020). This research investigates how insomnia and circadian preferences (as a spectrum from morningness to eveningness) link to attention deficit hyperactivity disorder (ADHD), autistic spectrum disorder (ASD), aggressive behaviour, symptoms of depression and anxiety, and use of alcohol, drugs and smoking. We aim to identify overlaps and differences of sleep profiles within these psychopathological dimensions (Fernandez 2019; Haslam et al. 2020) and determine if these patterns differ across age groups and between men and women. We will use survey data from 37,716 individuals aged 4 to 91 living in the three Northern provinces of the Netherlands, a subsample from the Lifelines cohort (Scholtens et al. 2015). We will identify subgroups of persons who cluster according to their insomnia and circadian preference variables via Latent Class Analysis (LCA). We will determine if the patterns of associations with different dimensions of psychopathology differ across these subgroups, i.e. classes, using analysis of covariance. |
| Databáze: | OpenAIRE |
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