Evidence map›Paper›PMID 36511251›Full record

ArticleJournal of research in health sciences2021

Spatial heterogeneity in gender and age of fatal suicide in Iran.

Mehran Rostami, Abdollah Jalilian, Seyed Amirhosein Mahdavi, Nasser Bagheri

Abstract read
In one paragraph

Article in Journal of research in health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

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

  1. Pooled it
  2. Pooled it
  3. Epidemiology of Suicide and Associated Factors in Bam: A Historical Cohort Study.Clinical practice and epidemiology in mental health : CP & EMH · 2025
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Mehran RostamiDeputy of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran. m.rostami@kums.ac.ir.
Abdollah JalilianDepartment of Statistics, Razi University, Kermanshah, Iran.
Seyed Amirhosein MahdaviLegal Medicine Research Center, Iranian Legal Medicine Organization, Tehran, Iran.
Nasser BagheriHealth Research Institute, University of Canberra, ACT 2601 Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe suicide incident has had an increasing trend in Iran over the past years. This study mainly aimed to investigate and visualize the spatial variations of registered suicide cases at the province level. A two-step modeling approach was employed in order to estimate the relative risks (RRs) and model the age of fatal suicide across provinces in Iran. STUDY

designAn applied ecological study.

methodsThis study used the suicide death data recorded by the Iranian forensic medicine organization from March 21, 2016, to March 20, 2018. Furthermore, a Bayesian spatial approach - Besag, York, and Mollie (BYM) model- was applied to estimate the RR of suicide across provinces in Iran.

resultsThis risk was found to be significantly higher than the average in both men and women in the west of Iran. For women, higher population density (mean: 0.003; 95% CrI: 0.001-0.005) and lower urbanization rate of provinces (mean: -0.025; 95% CrI: -0.038, -0.012) were associated with increased RR of suicide. Based on the log-normal model fitted to the data, the overall mean age of the fatal suicide at the national level was 34 years.

conclusionsThe magnitude of gender and age differences was quantified, and many spatial variations were identified in suicide mortality across provinces in Iran. Given the heterogeneity in suicide mortality risk among different subgroups of age and gender, our findings point to the urgent need in developing gender- and age-specific suicide prevention strategies. Moreover, efficient allocation of healthcare resources for suicide prevention can be attained by targeting provinces with higher risk.

Indexed as

SuicideAdultBayes TheoremFemaleHumansIranMalePopulation DensityRisk FactorsCompleted suicideIranMappingSpatial distribution

Identifiers

PMID36511251
PMCPMC9315463

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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.