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Serum lipids as predictive markers for death by suicide

  • C. Hyung Keun Park
  • , Daewook Kim
  • , Bora Kim
  • , Sang Jin Rhee
  • , Sung Joon Cho
  • , Yong Min Ahn
  • University of Ulsan
  • Haru Psychiatric Clinic
  • Stanford University
  • Department of Veterans Affairs
  • Seoul National University
  • Kangbuk Samsung Hospital

Research output: Contribution to journalArticlepeer-review

Abstract

Serum lipid levels have been associated with an increased risk of suicidal behaviors. This retrospective cohort study aimed to investigate the association between serum lipid levels and death by suicide among suicide attempters according to sex. Suicide attempters visiting emergency departments between 2007 and 2011 were followed up until the date of all-cause death or December 31, 2012. Sex-stratified Cox proportional hazards regression and competing risk models were constructed to obtain the hazard ratios (HR) of serum lipid measures and suicide. For each significant lipid variable in the final models, Kaplan–Meier survival analysis and cumulative incidence function (CIF) were employed to compare the time to suicide between the high- and low-lipid groups based on the best cutoff point from the receiver operating characteristic curve. In 408 female attempters (65.8 %), the HR in the Cox regression model and subdistribution HR in the competing risk model for increased total cholesterol (TC) were 0.968 and 0.970, respectively. In the Kaplan-Meier survival analysis and CIF, increased death by suicide was demonstrated in the low-TC group (< 165 mg/dL). Lower serum TC levels among female suicide attempters may predict suicide. More careful monitoring is warranted in women with lower TC levels who recently attempted suicide.

Original languageEnglish
Article number115837
JournalPsychiatry Research
Volume335
DOIs
StatePublished - May 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cholesterol
  • Lipoproteins
  • Sex
  • Triglycerides

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