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Suicide rates in China, 2004–2014: comparing data from two sample-based mortality surveillance systems
BACKGROUND: The decreasing suicide rate in China has been regarded as a major contributor to the decline of global suicide rate in the past decade. However, previous estimations on China’s suicide rates might not be accurate, since often they were based on the data from the Ministry of Health’s Vita...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809896/ https://www.ncbi.nlm.nih.gov/pubmed/29433460 http://dx.doi.org/10.1186/s12889-018-5161-y |
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author | Sha, Feng Chang, Qingsong Law, Yik Wa Hong, Qi Yip, Paul S. F. |
author_facet | Sha, Feng Chang, Qingsong Law, Yik Wa Hong, Qi Yip, Paul S. F. |
author_sort | Sha, Feng |
collection | PubMed |
description | BACKGROUND: The decreasing suicide rate in China has been regarded as a major contributor to the decline of global suicide rate in the past decade. However, previous estimations on China’s suicide rates might not be accurate, since often they were based on the data from the Ministry of Health’s Vital Registration (“MOH-VR”) System, which is biased towards the better-off population. This study aims to compare suicide data extracted from the MOH-VR System with a more representative mortality surveillance system, namely the Center for Disease Control and Prevention’s Disease Surveillance Points (“CDC-DSP”) System, and update China’s national and subnational suicide rates in the period of 2004–2014. METHODS: The CDC-DSP data are obtained from the National Cause-of-Death Surveillance Dataset (2004–2014) and the MOH-VR data are from the Chinese Health Statistics Yearbooks (2005–2012) and the China Health and Family Planning Statistics Yearbooks (2013–2015). First, a negative binomial regression model was used to test the associations between the source of data (CDC-DSP/MOH-VR) and suicide rates in 2004–2014. Joinpoint regression analyses and Kitagawa’s decomposition method are then applied to analyze the trends of the crude suicide rates. RESULTS: Both systems indicated China’s suicide rates decreased over the study period. However, before the two systems merged in 2013, the CDC-DSP System reported significantly higher national suicide rates (IRR = 1.18, 95% Confidence Interval [CI]: 1.13–1.24) and rural suicide rates (IRR = 1.29, 95% CI: 1.21–1.38) than the MOH-VR System. The CDC-DSP System also showed significant reversing points in 2011 (95% CI: 2006–2012) and 2006 (95% CI: 2006–2008) on the rural and urban suicide trends. Moreover, the suicide rates in the east and central urban regions were reversed in 2011 and 2008. CONCLUSIONS: The biased MOH-VR System underestimated China’s national and rural suicide rates. Although not widely appreciated in the field of suicide research, the CDC-DSP System provides more accurate estimations on China’s suicide rates and is recommended for future studies to monitor the reversing trends of suicide rates in China’s more developed areas. |
format | Online Article Text |
id | pubmed-5809896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58098962018-02-16 Suicide rates in China, 2004–2014: comparing data from two sample-based mortality surveillance systems Sha, Feng Chang, Qingsong Law, Yik Wa Hong, Qi Yip, Paul S. F. BMC Public Health Research Article BACKGROUND: The decreasing suicide rate in China has been regarded as a major contributor to the decline of global suicide rate in the past decade. However, previous estimations on China’s suicide rates might not be accurate, since often they were based on the data from the Ministry of Health’s Vital Registration (“MOH-VR”) System, which is biased towards the better-off population. This study aims to compare suicide data extracted from the MOH-VR System with a more representative mortality surveillance system, namely the Center for Disease Control and Prevention’s Disease Surveillance Points (“CDC-DSP”) System, and update China’s national and subnational suicide rates in the period of 2004–2014. METHODS: The CDC-DSP data are obtained from the National Cause-of-Death Surveillance Dataset (2004–2014) and the MOH-VR data are from the Chinese Health Statistics Yearbooks (2005–2012) and the China Health and Family Planning Statistics Yearbooks (2013–2015). First, a negative binomial regression model was used to test the associations between the source of data (CDC-DSP/MOH-VR) and suicide rates in 2004–2014. Joinpoint regression analyses and Kitagawa’s decomposition method are then applied to analyze the trends of the crude suicide rates. RESULTS: Both systems indicated China’s suicide rates decreased over the study period. However, before the two systems merged in 2013, the CDC-DSP System reported significantly higher national suicide rates (IRR = 1.18, 95% Confidence Interval [CI]: 1.13–1.24) and rural suicide rates (IRR = 1.29, 95% CI: 1.21–1.38) than the MOH-VR System. The CDC-DSP System also showed significant reversing points in 2011 (95% CI: 2006–2012) and 2006 (95% CI: 2006–2008) on the rural and urban suicide trends. Moreover, the suicide rates in the east and central urban regions were reversed in 2011 and 2008. CONCLUSIONS: The biased MOH-VR System underestimated China’s national and rural suicide rates. Although not widely appreciated in the field of suicide research, the CDC-DSP System provides more accurate estimations on China’s suicide rates and is recommended for future studies to monitor the reversing trends of suicide rates in China’s more developed areas. BioMed Central 2018-02-13 /pmc/articles/PMC5809896/ /pubmed/29433460 http://dx.doi.org/10.1186/s12889-018-5161-y Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Sha, Feng Chang, Qingsong Law, Yik Wa Hong, Qi Yip, Paul S. F. Suicide rates in China, 2004–2014: comparing data from two sample-based mortality surveillance systems |
title | Suicide rates in China, 2004–2014: comparing data from two sample-based mortality surveillance systems |
title_full | Suicide rates in China, 2004–2014: comparing data from two sample-based mortality surveillance systems |
title_fullStr | Suicide rates in China, 2004–2014: comparing data from two sample-based mortality surveillance systems |
title_full_unstemmed | Suicide rates in China, 2004–2014: comparing data from two sample-based mortality surveillance systems |
title_short | Suicide rates in China, 2004–2014: comparing data from two sample-based mortality surveillance systems |
title_sort | suicide rates in china, 2004–2014: comparing data from two sample-based mortality surveillance systems |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809896/ https://www.ncbi.nlm.nih.gov/pubmed/29433460 http://dx.doi.org/10.1186/s12889-018-5161-y |
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