Evidence map›Paper›PMID 37468833›Full record

ArticleBMC psychiatry2023

The predictive role of psychotic-like experiences in suicidal ideation among technical secondary school and college students during the COVID-19 pandemic.

Meng Sun, Dongfang Wang, Ling Jing, Liang Zhou

Abstract read
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Article in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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6citing papers in PubMed, 1 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

4 authors.

Meng SunDepartment of Social Psychiatry, the Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Road, Fangcun, Liwan District, Guangzhou, 510370, China.
Dongfang WangDepartment of Social Psychiatry, the Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Road, Fangcun, Liwan District, Guangzhou, 510370, China.
Ling JingCase Western Reserve University School of Medicine, Cleveland, OH, USA.
Liang ZhouDepartment of Social Psychiatry, the Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Road, Fangcun, Liwan District, Guangzhou, 510370, China. liangzhou_csu@vip.163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious research has shown the strong association between psychotic-like experiences (PLEs) and suicide. However, the predictive role of PLEs in suicidal ideation (SI) during the COVID-19 pandemic remains unclear.

aimsThis study aimed to explore the association between PLEs before the pandemic and SI during the pandemic among late adolescents.

methodsA total of 938 technical secondary school and college students completed both waves of the online survey before and during the pandemic. PLEs were assessed through the 15-item Positive Subscale of the Community Assessment of Psychic Experiences. SI was evaluated by the frequency of SI during the pandemic.

resultsIn early stage of the pandemic, most students had low frequent SI, and only 3.3% students showed high frequent SI. Compared to the low frequent group, the high frequent group exhibited significantly higher levels of PLEs (p < 0.001) and scored lower in resilience (p = .001) and perceived social support (p = .008) across the two timepoints. PLEs were significantly associated with higher risk of high frequent SI (OR = 2.56, 95%: 1.07-6.13), while better resilience (OR: 0.93, 95% CI: 0.88-0.99) and stronger perceived social support (OR: 0.96, 95% CI: 0.93-0.99) appeared to be protective factors. No interactions were found among PLEs and other psychosocial and psychological factors.

conclusionsPLEs may increase the risk of SI in early stage of the pandemic, while good resilience and adequate social support can help weaken the risk.

Indexed as

COVID-19Psychotic DisordersAdolescentHumansPandemicsSchoolsStudentsSuicidal IdeationSurveys and QuestionnairesFearPsychotic-like experiencesResilienceSocial supportStudentsSuicideYoung adults

Identifiers

PMID37468833
PMCPMC10357784

What OpenQuestion holds

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LicenceCC BY
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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.