Population attributable fractions of clinical and social risk factors for suicide in Bangladesh: Finding from a case-control psychological autopsy study

Yasir Arafat*, Md. Abdullah Saeed Khan, Duleeka Knipe, Murad Khan

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

15 Citations (Scopus)
217 Downloads (Pure)

Abstract

Background: Our knowledge of suicide in low-income countries is limited. Understanding the importance of factors that contribute to suicide risk will allow for the appropriate allocation of limited resources. In order to prioritize suicide prevention activities in Bangladesh, we estimate the fractions of suicides attributable to key risk factors.
Methods: Using data from matched cases (100) and controls (100) as part of a psychological autopsy study in Dhaka, we estimate the population attributable fraction for key clinical (psychiatric disorders and physical disability), and social (life events, psychical and/or sexual abuse, unemployment, and social isolation) risk factors for suicide in Bangladesh.
Results: Assuming a causal relationship, life events were responsible for the largest proportion of suicide deaths (85.9%; CI, 79.6-90.2), followed by mental disorder (49.5%; CI, 45.3-53.4). The population attributable fraction for the risk factors were 42.9% (CI, 40.6-45) for depression, 11% (CI, 8.9-13) for sexual abuse, and 34.9% (CI, 10.1-52.9) for social isolation.
Conclusions: The study determined the population attributable fraction of risk factors for suicide in Bangladesh. Prevention strategies should be prioritized on the management of the aftermaths of adverse life events, treatment of psychiatric disorders, sexual abuse, and social isolation in the country.
Original languageEnglish
Article numbere2409
Number of pages6
JournalBrain and Behavior
Volume11
Issue number12
DOIs
Publication statusPublished - 10 Nov 2021

Bibliographical note

Funding Information:
Duleeka Knipe was supported by the Wellcome Trust through an Institutional Strategic Support Fund Award to the University of Bristol [204813] and the Elizabeth Blackwell Institute for Health Research, University of Bristol.

Publisher Copyright:
© 2021 The Authors. Brain and Behavior published by Wiley Periodicals LLC

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
  2. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

Research Groups and Themes

  • SASH

Keywords

  • case–control study
  • population attributable fraction
  • psychological autopsy
  • risk factors
  • suicide in Bangladesh

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