Evidence map›Paper›PMID 41832414›Full record

ArticleBMC psychiatry2026

The sources of suicidal ambivalence: favorable and risk factors for suicidal ideation among higher vocational college freshmen-a large sample survey.

Xi Lu, Kee Jiar Yeo, Ou Wu

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Article in BMC psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Xi LuHangzhou Polytechnic University, Hangzhou, Zhejiang, 314423, China.
Kee Jiar YeoSchool of Education, Universiti Teknologi Malaysia, Johor Bahru, Johor, 81310, Malaysia.
Ou WuShulan International Medical College, Zhejiang Shuren University, Hangzhou, Zhejiang, 310009, China. wuou1@hotmail.com.

Funding

Zhejiang Provincial Philosophy and Social Sciences Planning Project 24NDJC194YB
6 · The paper itself

Abstract

backgroundSuicidal ideation (SI) is a critical public health issue, particularly among college freshmen navigating significant life transitions. Higher vocational college students in China represent an understudied population facing unique academic, social, and employment pressures, which may elevate their suicide risk. This study aims to identify the prevalence of SI and investigate its psychological determinants within this specific group, with a focus on constructs derived from a revised mental health screening instrument.

methodsA large-scale, cross-sectional survey was conducted among 5,028 first-year students at a higher vocational college in Eastern China. The University Personality Inventory (UPI) was analyzed using exploratory and confirmatory factor analyses (EFA/CFA) to derive a revised five-factor model. Structural equation modeling (SEM), hierarchical modeling, and bifactor modeling were employed to examine associations between psychological traits and SI.

resultsA new five-factor structure of the UPI was identified: “social avoidance”, “emotional vulnerability”, “physical symptoms”, “dependence with cognitive symptoms”, and “interpersonal sensitivity”. SEM revealed that “social avoidance” (β = 0.951) and “emotional vulnerability” (β = 0.511) were positively associated with SI. “Dependence with cognitive symptoms” (β = −0.351) and “interpersonal sensitivity” (β = −0.256) showed negative direct associations but positive indirect associations via mediating pathways. “Physical symptoms” were indirectly associated with SI through social avoidance and emotional vulnerability. The model explained 72.8% of the variance in SI. The 12-month prevalence of SI was 3.7%. Gender was a significant covariate, with females(5.3%) reporting higher SI rates than male(2.7%); age was not statistically significant.

conclusionsThe study presents a validated, shortened UPI scale tailored for higher vocational students. “Social avoidance” and “emotional vulnerability” emerged as key correlates of SI among vocational college freshmen. While “dependence with cognitive symptoms” and “interpersonal sensitivity” may serve as protective traits in some contexts, their indirect associations suggest complex psychological pathways. Interventions aimed at reducing SI in this population should focus on enhancing social connectedness, building emotional resilience, and fostering supportive environments that can leverage potential protective traits. Given the cross-sectional design, findings should be interpreted as correlational. Future longitudinal studies are needed to clarify causal mechanisms and inform targeted interventions.

Indexed as

StudentsSuicidal IdeationAdolescentAdultChinaCross-Sectional StudiesFactor Analysis, StatisticalFemaleHumansMalePersonality InventoryRisk FactorsUniversitiesYoung AdultBifactor analysisEmotional vulnerabilityHigher vocational college studentsPsychological factorsSocial avoidanceStructural equation modelingSuicidal ideationUniversity Personality Inventory (UPI)

Identifiers

PMID41832414
PMCPMC13072652

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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.