Evidence map›Paper›PMID 30606191›Full record

SynthesisInternational journal for equity in health2019

Urban-rural inequalities in suicide among elderly people in China: a systematic review and meta-analysis.

Meizhi Li, Srinivasa Vittal Katikireddi

Open access · goldAbstract readComparative StudyMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International journal for equity in health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 6 pooled it
12.7field-weighted citation impact, top 1% of its field
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

35 citing papers in PubMed, 6 syntheses or guidelines pooled it, 105 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Factors Associated with Suicidal Behavior in Farmers: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  5. Pooled it
  6. Are we Using the Right Evidence to Inform Suicide Prevention in Low- and Middle-Income Countries? An Umbrella Review.Archives of suicide research : official journal of the International Academy for Suicide Research
    Pooled it
  7. Article
  8. Article
  9. Suicide Among Older People in Spain: The Role of Sex and Urbanicity.International journal of geriatric psychiatry · 2025
    Article
  10. Article
  11. Article
  12. Epidemiology of Suicide Mortality in Paraguay from 2005 to 2019: A Descriptive Study.International journal of environmental research and public health · 2024
    Observational
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Research on the Relationship between Chinese Elderly Health Status, Social Security, and Depression.International journal of environmental research and public health · 2022
    Article
  20. Article
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

2 authors at 2 institutions in 2 countries.

Meizhi LiDepartment of Public Health, University of Glasgow, Glasgow, UK. limeizhi@csu.edu.cn.ORCID 0000-0003-4865-3097
Srinivasa Vittal KatikireddiMRC/CSO Social & Public Health Sciences Unit, University of Glasgow, Glasgow, UK.
Central South University · CNMRC/CSO Social and Public Health Sciences Unit · GB

Funding

Chief Scientist Office SCAF/15/02Medical Research Council MC_UU_12017/13Medical Research Council MC_UU_12017/15
6 · The paper itself

Abstract

backgroundChina has an unusual pattern of suicides, with overall suicide rates in rural areas higher than urban areas. While suicide rates have decreased dramatically, older people increasingly contribute to the overall burden of suicide. However, it is unclear if elderly people within rural areas experience greater suicide risk than those in urban areas. We aimed to systematically review the incidence of suicide in rural and urban China among the elderly (aged over 60 years), with a view to describing the difference in rates between rural and urban areas and trends over time.

methodsChinese and English language articles were searched for using four databases: EMBASE (Ovid), MEDLINE (Ovid), PsycINFO (EBSCOhost) and CNKI (in Chinese). Articles describing completed suicide among elderly people in both rural and urban areas in mainland China were included. The adapted Newcastle-Ottawa Scale (NOS) was used to assess risk of bias. One reviewer (ML) assessed eligibility, performed data extraction and assessed risk of bias, with areas of uncertainty discussed with the second reviewer (SVK). Random effects meta-analysis was conducted. Suicide methods in different areas were narratively summarised.

resultsOut of a total 3065 hits, 24 articles were included and seven contributed data to meta-analysis. The sample size of included studies ranged from 895 to 323.8 million. The suicide rate in the general population of China has decreased in recent decades over previous urban and rural areas. Suicide rates amongst the elderly in rural areas are higher than those in urban areas (OR = 3.35; 95% CI of 2.48 to 4.51; I

conclusionsThe pattern of suicide in China has changed in recent years following urbanisation and aging. Differences in suicide rates amongst the elderly exist between rural and urban areas. Addressing the high suicide rate amongst the elderly in rural China requires a policy response, such as considering measures to restrict access to poisons.

Indexed as

Socioeconomic FactorsUrbanizationAdultAgedAged, 80 and overAsian PeopleChinaFemaleHumansMaleMiddle AgedRisk AssessmentRural PopulationSuicideUrban PopulationAgedChinaDisparitiesElderlyGeographic patternsInequalitiesRuralSuicideUrban

Identifiers

PMID30606191
PMCPMC6319001
OpenAlexW2803183485

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.