Evidence map›Paper›PMID 42218411›Full record

ArticleBMC psychiatry2026

Resilience and suicidality in the Taiwanese general public: a population-based study.

Wei-Chieh Hung, Chia-Yi Wu, Vivian Isaac, Craig S Mclachlan

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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

What it found

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2 · The registry

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3 · Its place in the literature

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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.

Wei-Chieh HungCheng Hsin General Hospital, Taipei, Taiwan.ORCID 0000-0002-8142-1493
Chia-Yi WuSchool of Nursing, College of Medicine, National Taiwan University, Taipei, Taiwan. jennycyw@ntu.edu.tw.ORCID 0000-0003-1756-557X
Vivian IsaacSchool of Allied Health, Exercise & Sports Sciences, Faculty of Science & Health, Charles Sturt University, Albury, NSW, Australia.ORCID 0000-0003-1525-8090
Craig S MclachlanHealth Hub Center, Torrens University Australia, Adelaide, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies on protective factors of suicidal risk are limited. Resilience has gained importance as a factor associated with psychological distress. However, the relationship between psychosocial factors, resilience, and suicidality has not been extensively explored among the general public. The study aimed to understand the relationship between psychological distress, suicide risks, and resilience.

methodsA cross-sectional study was conducted to examine a representative sample of the Taiwanese general population. The population-based survey investigated the associations between resilience, psychological distress, and suicide-related features in 2017. The measurements included self-rated health, a 5-item Brief Symptom Rating Scale, a 9-item Concise Mental Health Checklist, a Brief Resilient Coping Scale, and suicide ideation/attempt across different time points (in the past week, month, year, and lifetime). Linear regression analyses were conducted to evaluate the extent to which the demographics, perceived health conditions and resilience correlated with overall suicide risk.

resultsA total of 2098 participants (50.6% females) were enrolled. The average resilience score in the general population was 16.75, with higher resilience score for those married and in a white-collar employment. Resilience showed positive correlations with increasing self-efficacy, self-rated mental health, and self-rated physical health, while displaying negative associations with psychological distress and overall suicidality. Linear regression analysis identified age, gender, employment status, marital status, self-rated physical health, self-efficacy, and resilience as predictors of overall suicide risk, explaining 16.8% of the variance.

conclusionsSelf-rated physical health, self-efficacy, and resilience were all associated with overall suicide risk in this study. Resilience also showed a statistically significant but modest independent effect in the multivariable model, suggesting that it contributes to suicide risk alongside these related psychological constructs. These findings indicate that perceptions of physical health and self-efficacy may be important targets for suicide prevention efforts, while strategies to strengthen resilient coping could also play a supportive role. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Psychological DistressResilience, PsychologicalSuicidal IdeationSuicideSuicide, AttemptedAdolescentAdultAgedCross-Sectional StudiesFemaleHealth StatusHumansMaleMiddle AgedRisk FactorsSelf EfficacyHealth perceptionsMental distressPopulation-based surveyResilienceSuicidality

Identifiers

PMID42218411
PMCPMC13445921

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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.