Publications by authors named "Josine G van Mill"

Time to fall asleep (sleep latency) is a major determinant of sleep quality. Chronic, long sleep latency is a major characteristic of sleep-onset insomnia and/or delayed sleep phase syndrome. In this study we aimed to discover common polymorphisms that contribute to the genetics of sleep latency.

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Article Synopsis
  • A 37-year-old homeless man from Albania experienced multiple fractures after jumping from a third-floor window due to his psychotic disorders.
  • He was uninsured, refused hospital transfer due to paranoia, and ended up hospitalized for nearly 30 weeks, highlighting challenges like the combination of physical and mental health issues and lack of family support.
  • The case underscores the importance of multidisciplinary evaluations in complex situations and encourages innovative solutions to balance patient care with cost-effectiveness in healthcare.
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Objective: To examine the predictive role of insomnia and sleep duration on the 2-year course of depressive and anxiety disorders.

Method: This study is a secondary data analysis based on data from the baseline (2004-2007) and 2-year assessment of the Netherlands Study of Depression and Anxiety. Participants were 1,069 individuals with DSM-IV-based depressive and/or anxiety disorders at baseline.

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Objectives: We aimed to examine the associations between sleep disturbances and work functioning in an epidemiologic cohort study in subjects with or without depressive or anxiety disorders.

Methods: There were 707 subjects included in our analyses with depressive or anxiety disorders and 728 subjects without current depressive or anxiety disorders. Insomnia was defined as a score ≥9 using the Insomnia Rating Scale.

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Objective: Disturbed sleep has a high impact on daily functioning and has been correlated with psychopathology. We investigated the extent to which insomnia and sleep duration were associated with both current and remitted depressive and anxiety disorders in a large-scale epidemiologic study, taking sociodemographics, health factors, and medication use into account.

Method: Data of 2,619 individuals from the Netherlands Study of Depression and Anxiety (NESDA) were analyzed.

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