Literature DB >> 33640972

Associations of sleep phenotypes with severe intentional self-harm: a prospective analysis of the UK Biobank cohort.

Binbin Lei1, Jihui Zhang1,2, Sijing Chen1, Jie Chen1, Lulu Yang1,3, Sizhi Ai1, Ngan Yin Chan1, Jing Wang1, Xi-Jian Dai1, Hongliang Feng1, Yaping Liu1, Shirley Xin Li4,5, Fujun Jia2, Yun-Kwok Wing1.   

Abstract

STUDY
OBJECTIVES: We aimed to investigate the prospective associations of sleep phenotypes with severe intentional self-harm (ISH) in middle-aged and older adults.
METHODS: A total of 499,159 participants (mean age: 56.55 ± 8.09 years; female: 54.4%) were recruited from the UK Biobank between 2006 and 2010 with follow-up until February 2016 in this population-based prospective study. Severe ISH was based on hospital inpatient records or a death cause of ICD-10 codes X60-X84. Patients with hospitalized diagnosis of severe ISH before the initial assessment were excluded. Sleep phenotypes, including sleep duration, chronotype, insomnia, sleepiness, and napping, were assessed at the initial assessments. Cox regression analysis was used to estimate temporal associations between sleep phenotypes and future risk of severe ISH.
RESULTS: During a follow-up period of 7.04 years (SD: 0.88), 1,219 participants experienced the first hospitalization or death related to severe ISH. After adjusting for demographics, substance use, medical diseases, mental disorders, and other sleep phenotypes, short sleep duration (HR: 1.50, 95% CI: 1.23-1.83, p < .001), long sleep duration (HR: 1.56, 95% CI: 1.15-2.12, p = .004), and insomnia (usually: HR: 1.57, 95% CI: 1.31-1.89, p < .001) were significantly associated with severe ISH. Sensitivity analyses excluding participants with mental disorders preceding severe ISH yielded similar results.
CONCLUSION: The current study provides the empirical evidence of the independent prediction of sleep phenotypes, mainly insomnia, short- and long-sleep duration, for the future risk of severe ISH among middle-aged and older adults. © Sleep Research Society 2021. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  UK Biobank; intentional self-harm; sleep phenotypes

Mesh:

Year:  2021        PMID: 33640972     DOI: 10.1093/sleep/zsab053

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   5.849


  1 in total

1.  Association of insomnia phenotypes based on polysomnography-measured sleep duration with suicidal ideation and attempts.

Authors:  Kevin G Saulnier; Rupsha Singh; Kristina P Lenker; Susan L Calhoun; Fan He; Duanping Liao; Alexandros N Vgontzas; Edward O Bixler; Julio Fernandez-Mendoza
Journal:  Sleep Health       Date:  2022-06-19
  1 in total

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