Evidence map›Paper›PMID 41184813›Full record

ArticleBMC public health2025

The status of suicide literacy and suicide stigma: their association with demographic factors among Iranian general population.

Alireza Jafari, Mahdi Moshki, Elaheh Lael-Monfared, Mahbobeh Nejatian, Fatemehzahra Naddafi

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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2 citing papers in PubMed.

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5 · Who and what money

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5 authors.

Alireza JafariDepartment of Health Education and Health Promotion, School of Health, Social Development and Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran.
Mahdi MoshkiDepartment of Health Education and Health Promotion, School of Health, Social Development and Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran.
Elaheh Lael-MonfaredSocial Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Mahbobeh NejatianDepartment of Health Education and Health Promotion, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Fatemehzahra NaddafiNursing Research Center, Gonabad University of Medical Sciences, Gonabad, Iran. fznaddafi@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of suicide has increased in recent years, and understanding the factors that contribute to this can help prevent suicide. This study aimed to determine the status of suicide literacy and suicide stigma and their relationship with demographic factors.

methodsThis cross-sectional study aimed to determine the status of suicide literacy and suicide stigma and their relationship with demographic factors among the 960 general population in Gonabad (a city in the northeast of Iran) in 2023. Data collection instruments comprised of demographic questionnaires, the literacy of suicide scale, and the stigma of suicide scale, and data were analyzed using SPSS version 24 software.

resultsOnly 0.7% (n = 7) were able to choose the correct answer of 19 or more suicide literacy items. In addition, only 1.3% (n = 12) of the participants had chosen the incorrect answer for all suicide literacy items. There was a significant relationship between sex (p < 0.001), age group (p < 0.001), marital status (p < 0.001), education level (p = 0.003), occupation (p < 0.001), economic status (p = 0.011), sources of obtaining health information (p < 0.001), and get information related to mental illness (p < 0.001) with suicide literacy. There was a significant relationship between sex (p < 0.001), age group (p < 0.001), marital status (p = 0.001), occupation (p < 0.001), sources of obtaining health information (p = 0.032), and get information related to mental illness (p < 0.001) with suicide stigma. Based on the Pearson correlation findings, there was a negative and significant correlation between suicide literacy and suicide stigma (r= -0.277, p < 0.001). The findings of the linear regression showed that the subscales of treatment/prevention and causes/triggers had the greatest impact on predicting suicide stigma.

conclusionThese results underscore the urgent need to design health interventions to enhance suicide literacy. Also, developing evidence-based educational campaigns with the aim at improving suicide literacy particularly regarding treatment/prevention and causes/triggers could be an effective strategy for reducing suicide stigma in the general population.

Indexed as

Health LiteracySocial StigmaSuicideAdolescentAdultAgedCross-Sectional StudiesFemaleHumansIranMaleMiddle AgedSociodemographic FactorsSurveys and QuestionnairesYoung AdultGeneral populationIranSuicide literacySuicide stigma

Identifiers

PMID41184813
PMCPMC12581297

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LicenceCC BY-NC-ND
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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.