Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China.
Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong, China.
BMC Public Health. 2018 Feb 13;18(1):239. doi: 10.1186/s12889-018-5161-y.
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.
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.
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.
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.
中国自杀率的下降被认为是过去十年全球自杀率下降的主要原因之一。然而,之前对中国自杀率的估计可能并不准确,因为它们通常基于卫生部生命登记系统(“MOH-VR”)的数据,而该系统偏向于较富裕的人群。本研究旨在比较从 MOH-VR 系统提取的自杀数据与更具代表性的疾病监测系统(即疾病预防控制中心疾病监测点系统(“CDC-DSP”)),并更新 2004-2014 年期间中国的全国和省级自杀率。
CDC-DSP 数据来自国家死因监测数据集(2004-2014 年),MOH-VR 数据来自中国卫生统计年鉴(2005-2012 年)和中国卫生和计划生育统计年鉴(2013-2015 年)。首先,使用负二项回归模型检验 2004-2014 年数据来源(CDC-DSP/MOH-VR)与自杀率之间的关联。然后应用 Joinpoint 回归分析和 Kitagawa 的分解方法分析粗自杀率的趋势。
两个系统均表明中国的自杀率在研究期间有所下降。然而,在 2013 年两个系统合并之前,CDC-DSP 系统报告的全国自杀率(IRR=1.18,95%置信区间[CI]:1.13-1.24)和农村自杀率(IRR=1.29,95%CI:1.21-1.38)均显著高于 MOH-VR 系统。CDC-DSP 系统还显示出农村和城市自杀趋势在 2011 年(95%CI:2006-2012)和 2006 年(95%CI:2006-2008)存在明显的转折点。此外,东部和中部城市地区的自杀率在 2011 年和 2008 年发生逆转。
有偏差的 MOH-VR 系统低估了中国的全国和农村自杀率。尽管在自杀研究领域尚未得到广泛认可,但 CDC-DSP 系统提供了更准确的中国自杀率估计值,建议在未来的研究中使用该系统监测中国发达地区自杀率的逆转趋势。