Evidence map›Paper›PMID 29433460›Full record

ArticleBMC public health2018

Suicide rates in China, 2004-2014: comparing data from two sample-based mortality surveillance systems.

Feng Sha, Qingsong Chang, Yik Wa Law, Qi Hong, Paul S F Yip

Abstract readComparative Study
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

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  17. Indian suicide data: What do they mean?The Indian journal of medical research · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Feng ShaDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China.
Qingsong ChangDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China.
Yik Wa LawDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China.
Qi HongDepartment of Public Courses, Shenzhen Institute of Information Technology, Shenzhen, China.
Paul S F YipDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China. sfpyip@hku.hk.

Funding

Central Policy Unit (HK) HKU-12
6 · The paper itself

Abstract

backgroundThe 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.

methodsThe 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.

resultsBoth 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.

conclusionsThe 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.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChinaFemaleHumansMaleMiddle AgedPopulation SurveillanceReproducibility of ResultsRural PopulationSuicideUrban PopulationYoung AdultCenter for disease control and preventionEpidemiologyMental healthMinistry of HealthSuicideSurveillance

Identifiers

PMID29433460
PMCPMC5809896

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.