Evidence map›Paper›PMID 31433002›Full record

Observational studyRevista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)

Suicide mortality among youth in southern Brazil: a spatiotemporal evaluation of socioeconomic vulnerability.

Ana C Alarcão, Cátia M Dell' Agnolo, João R Vissoci, Elias C A Carvalho, Catherine A Staton, Luciano de Andrade, Kátia B Fontes, Sandra M Pelloso, Júlio C Nievola, Maria D Carvalho

Abstract readObservational Study
In one paragraph

Observational study in Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. An exploratory study on spatiotemporal clustering of suicide in Korean adolescents.Child and adolescent psychiatry and mental health · 2024
    Article
  5. Article
  6. Predicting Suicide in Counties: Creating a Quantitative Measure of Suicide Risk.International journal of environmental research and public health · 2022
    Article
  7. 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

10 authors.

Ana C AlarcãoPrograma de Pós-Graduação em Ciências da Saúde, Universidade Estadual de Maringá (UEM), Maringá, PR, Brazil.ORCID http://orcid.org/0000-0003-1786-8167
Cátia M Dell' AgnoloHospital Universitário Regional de Maringá (HUM), Maringá, PR, Brazil.ORCID http://orcid.org/0000-0002-7312-6451
João R VissociDepartamento de Medicina, UEM, Maringá, PR, Brazil.
Elias C A CarvalhoNúcleo de Processamento de Dados (NPD), UEM, Maringá, PR, Brazil.ORCID http://orcid.org/0000-0002-2638-7202
Catherine A StatonDepartment of Surgery, Duke Global Health Institute, Duke University, Durham, North California, USA.
Luciano de AndradePrograma de Pós-Graduação em Ciências da Saúde, Universidade Estadual de Maringá (UEM), Maringá, PR, Brazil.ORCID http://orcid.org/0000-0003-2077-1518
Kátia B FontesPrograma de Pós-Graduação em Ciências da Saúde, Universidade Estadual de Maringá (UEM), Maringá, PR, Brazil.
Sandra M PellosoPrograma de Pós-Graduação em Ciências da Saúde, Universidade Estadual de Maringá (UEM), Maringá, PR, Brazil.
Júlio C NievolaPrograma de Pós-Graduação em Informática (PPGIa), PUCPR, Curitiba, PR, Brazil.
Maria D CarvalhoPrograma de Pós-Graduação em Ciências da Saúde, Universidade Estadual de Maringá (UEM), Maringá, PR, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo conduct a geospatial analysis of suicide deaths among young people in the state of Paraná, southern Brazil, and evaluate their association with socioeconomic and spatial determinants.

methodsData were obtained from the Mortality Information System and the Brazilian Institute of Geography and Statistics. Data on suicide mortality rates (SMR) were extracted for three age groups (15-19, 20-24, and 25-29 years) from two 5-year periods (1998-2002 and 2008-2012). Geospatial data were analyzed through exploratory spatial data analysis. We applied Bayesian networks algorithms to explore the network structure of the socioeconomic predictors of SMR.

resultsWe observed spatial dependency in SMR in both periods, revealing geospatial clusters of high SMR. Our results show that socioeconomic deprivation at the municipality level was an important determinant of suicide in the youth population in Paraná, and significantly influenced the formation of high-risk SMR clusters.

conclusionWhile youth suicide is multifactorial, there are predictable geospatial and sociodemographic factors associated with high SMR among municipalities in Paraná. Suicide among youth aged 15-29 occurs in geographic clusters which are associated with socioeconomic deprivation. Rural settings with poor infrastructure and development also correlate with increased SMR clusters.

Indexed as

AdolescentAdultAge DistributionBayes TheoremBrazilCitiesFemaleHumansMaleRisk FactorsSocioeconomic FactorsSpatio-Temporal AnalysisSuicide, CompletedTime FactorsVulnerable PopulationsYoung Adult

Identifiers

PMID31433002
PMCPMC6986484

What OpenQuestion holds

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LicenceCC BY-NC
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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.