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Community suicide rates and related factors within a surveillance platform in Western Kenya

BACKGROUND: Suicide is an important contributor to the burden of mental health disorders, but community-based suicide data are scarce in many low- and middle-income countries (LMIC) including Kenya. Available data on suicide underestimates the true burden due to underreporting related to stigma and...

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Autores principales: Ongeri, Linnet, Larsen, David A., Jenkins, Rachel, Shaw, Andrea, Connolly, Hannah, Lyon, James, Kariuki, Symon, Penninx, Brenda, Newton, Charles R., Sifuna, Peter, Ogutu, Bernhards
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8729019/
https://www.ncbi.nlm.nih.gov/pubmed/34983463
http://dx.doi.org/10.1186/s12888-021-03649-6
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author Ongeri, Linnet
Larsen, David A.
Jenkins, Rachel
Shaw, Andrea
Connolly, Hannah
Lyon, James
Kariuki, Symon
Penninx, Brenda
Newton, Charles R.
Sifuna, Peter
Ogutu, Bernhards
author_facet Ongeri, Linnet
Larsen, David A.
Jenkins, Rachel
Shaw, Andrea
Connolly, Hannah
Lyon, James
Kariuki, Symon
Penninx, Brenda
Newton, Charles R.
Sifuna, Peter
Ogutu, Bernhards
author_sort Ongeri, Linnet
collection PubMed
description BACKGROUND: Suicide is an important contributor to the burden of mental health disorders, but community-based suicide data are scarce in many low- and middle-income countries (LMIC) including Kenya. Available data on suicide underestimates the true burden due to underreporting related to stigma and legal restrictions, and under-representation of those not utilizing health facilities. METHODS: We estimated the cumulative incidence of suicide via verbal autopsies from the Health and Demographic Surveillance System (HDSS) in Kisumu County, Kenya. We then used content analysis of open history forms among deaths coded as accidents to identify those who likely died by suicide but were not coded as suicide deaths. We finally conducted a case-control study of suicides (both verbal autopsy confirmed and likely suicides) compared to accident-caused deaths to assess factors associated with suicide in this HDSS. RESULTS: A total of 33 out of 4306 verbal autopsies confirmed suicide as the cause of death. Content analysis of a further 228 deaths originally attributed to accidents identified 39 additional likely suicides. The best estimate of suicide-specific mortality rate was 14.7 per 100,000 population per year (credibility window = 11.3 – 18.0). The most common reported method of death was self-poisoning (54%). From the case-control study interpersonal difficulties and stressful life events were associated with increased odds of suicide in both confirmed suicides and confirmed combined with suspected suicides. Other pertinent factors such as age and being male differed depending upon which outcome was used. CONCLUSION: Suicide is common in this area, and interventions are needed to address drivers. The twofold increase in the suicide-specific mortality rate following incorporation of misattributed suicide deaths exemplify underreporting and misclassification of suicide cases at community level. Further, verbal autopsies may underreport suicide specifically among older and female populations.
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spelling pubmed-87290192022-01-07 Community suicide rates and related factors within a surveillance platform in Western Kenya Ongeri, Linnet Larsen, David A. Jenkins, Rachel Shaw, Andrea Connolly, Hannah Lyon, James Kariuki, Symon Penninx, Brenda Newton, Charles R. Sifuna, Peter Ogutu, Bernhards BMC Psychiatry Research BACKGROUND: Suicide is an important contributor to the burden of mental health disorders, but community-based suicide data are scarce in many low- and middle-income countries (LMIC) including Kenya. Available data on suicide underestimates the true burden due to underreporting related to stigma and legal restrictions, and under-representation of those not utilizing health facilities. METHODS: We estimated the cumulative incidence of suicide via verbal autopsies from the Health and Demographic Surveillance System (HDSS) in Kisumu County, Kenya. We then used content analysis of open history forms among deaths coded as accidents to identify those who likely died by suicide but were not coded as suicide deaths. We finally conducted a case-control study of suicides (both verbal autopsy confirmed and likely suicides) compared to accident-caused deaths to assess factors associated with suicide in this HDSS. RESULTS: A total of 33 out of 4306 verbal autopsies confirmed suicide as the cause of death. Content analysis of a further 228 deaths originally attributed to accidents identified 39 additional likely suicides. The best estimate of suicide-specific mortality rate was 14.7 per 100,000 population per year (credibility window = 11.3 – 18.0). The most common reported method of death was self-poisoning (54%). From the case-control study interpersonal difficulties and stressful life events were associated with increased odds of suicide in both confirmed suicides and confirmed combined with suspected suicides. Other pertinent factors such as age and being male differed depending upon which outcome was used. CONCLUSION: Suicide is common in this area, and interventions are needed to address drivers. The twofold increase in the suicide-specific mortality rate following incorporation of misattributed suicide deaths exemplify underreporting and misclassification of suicide cases at community level. Further, verbal autopsies may underreport suicide specifically among older and female populations. BioMed Central 2022-01-04 /pmc/articles/PMC8729019/ /pubmed/34983463 http://dx.doi.org/10.1186/s12888-021-03649-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ongeri, Linnet
Larsen, David A.
Jenkins, Rachel
Shaw, Andrea
Connolly, Hannah
Lyon, James
Kariuki, Symon
Penninx, Brenda
Newton, Charles R.
Sifuna, Peter
Ogutu, Bernhards
Community suicide rates and related factors within a surveillance platform in Western Kenya
title Community suicide rates and related factors within a surveillance platform in Western Kenya
title_full Community suicide rates and related factors within a surveillance platform in Western Kenya
title_fullStr Community suicide rates and related factors within a surveillance platform in Western Kenya
title_full_unstemmed Community suicide rates and related factors within a surveillance platform in Western Kenya
title_short Community suicide rates and related factors within a surveillance platform in Western Kenya
title_sort community suicide rates and related factors within a surveillance platform in western kenya
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8729019/
https://www.ncbi.nlm.nih.gov/pubmed/34983463
http://dx.doi.org/10.1186/s12888-021-03649-6
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