Background: Insomnia symptoms are widespread in the population and might have effects on many chronic conditions and their risk factors but previous research has focused on select hypothesised associations/effects rather than taking a systematic hypothesis-free approach across many health outcomes.
Methods: We performed a Mendelian randomisation (MR) phenome-wide association study (PheWAS) in 336,975 unrelated white-British UK Biobank participants. Self-reported insomnia symptoms were instrumented by a genetic risk score (GRS) created from 129 single-nucleotide polymorphisms (SNPs). A total of 11,409 outcomes from UK Biobank were extracted and processed by an automated pipeline (PHESANT) for the MR-PheWAS. Potential causal effects (those passing a Bonferroni-corrected significance threshold) were followed up with two-sample MR in MR-Base, where possible.
Results: Four hundred thirty-seven potential causal effects of insomnia symptoms were observed for a diverse range of outcomes, including anxiety, depression, pain, body composition, respiratory, musculoskeletal and cardiovascular traits. We were able to undertake two-sample MR for 71 of these 437 and found evidence of causal effects (with directionally concordant effect estimates across main and sensitivity analyses) for 30 of these. These included novel findings (by which we mean not extensively explored in conventional observational studies and not previously explored using MR based on a systematic search) of an adverse effect on risk of spondylosis (OR [95%CI] = 1.55 [1.33, 1.81]) and bronchitis (OR [95%CI] = 1.12 [1.03, 1.22]), among others.
Conclusions: Insomnia symptoms potentially cause a wide range of adverse health-related outcomes and behaviours. This has implications for developing interventions to prevent and treat a number of diseases in order to reduce multimorbidity and associated polypharmacy.
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http://dx.doi.org/10.1186/s12916-023-02832-8 | DOI Listing |
Psychooncology
January 2025
Department of Psychiatry, Boston Children's Hospital, Boston, Massachusetts, USA.
Background: Insomnia is the most common sleep disturbance among cancer patients undergoing active treatment. If untreated, it is associated with significant physical and psychological health consequences. Prior efforts to determine insomnia prevalence and correlates have primarily assessed patients in clinical trials, in limited disease groups, and excluding important patient subgroups.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department of Psychiatry and Medical Psychology, OLVG, P.O. Box 95500, 1090 HM Amsterdam, the Netherlands; Department of Psychiatry, Amsterdam UMC, Vrije Universiteit van Amsterdam, P.O. Box 7057, 1007 MB Amsterdam, the Netherlands; Amsterdam Public Health, Mental Health Programme, Amsterdam, the Netherlands.
Background: Postpartum depression is common and may be linked to antepartum insomnia, a potentially modifiable risk factor. We examine the association between insomnia- and postpartum depression symptoms, considering whether psychiatric vulnerability moderates this link.
Method: Participants completed the Insomnia Severity Index during trimester two and three and the Hospital Anxiety and Depression questionnaire postpartum.
J Psychiatr Res
December 2024
Department of Psychiatry and Psychotherapy, Translational Psychiatry Unit, University of Luebeck, Luebeck, Germany.
Insomnia and nightmares are present in up to 45 % of individuals with borderline personality disorder (BPD) and can contribute to challenges with emotion regulation, low sleep quality, dream anxiety, increased arousal and self-control. Despite their prevalence, nightmares are usually not addressed in classical BPD treatment. Imagery rehearsal therapy (IRT) is considered first in line treatment for nightmares, however, there are no studies to date that investigate its effects in individuals with BPD.
View Article and Find Full Text PDFCancer Invest
January 2025
Department of Internal Medicine C, University Hospital Greifswald, Greifswald, Germany.
Objective: The ExPRO (External factors influencing patient reported outcomes of patients with malignant diseases) study explored associations between QoL data and environmental factors on the day of questionnaire completion: mean temperature, sunshine hours, season, and lunar phase.
Methods: We undertook a cross-sectional analysis of baseline data in the prospective cohort study at two cancer centers in eastern Germany. From December 2020 to December 2021, cancer patients completed the EORTC QLQ-C30 questionnaire upon admission.
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