ArticleBMC nursing2024
Psychosocial characteristics pattern correlated with suicidal ideation and non-suicidal self-injury among nurse staff: a latent profile analysis.
Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- Latent profiles of death coping competence among nursing interns and associations with death attitudes, death exposure, and death education; a cross-sectional survey.International journal of nursing studies advances · 2026Article
- Suicidality in women nurses: A critical interpretive synthesis.International journal of nursing studies advances · 2026Review
- Genetic architecture of suicidal ideation continuum: latent profile analysis of data using the million veteran program cohort.Molecular psychiatry · 2026Article
- Latent profiles of psychopathological and criminological characteristics in prisoners: associations with suicide risk.Health & justice · 2026Article
- Stress, coping profiles, and depression among nurses: a latent profile and mediation analysis.BMC nursing · 2024Article
- Attitudinal Beliefs About Suicidal Behavior and Attitudes Towards Suicide Attempts in Colombian Healthcare Professionals.Healthcare (Basel, Switzerland) · 2024Article
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Authors and funding
4 authors at 1 institution in 1 country.
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Abstract
backgroundNurses frequently endure elevated levels of psychosocial stress, which often correlates with an increased suicide risk. This study aimed to investigate the impact of latent psychosocial characteristic patterns on suicidal ideation and non-suicidal self-injury among nursing staff.
methodParticipants were recruited from the Dehong districts of Yunnan province, China, between July 11th and July 26th, 2022. Subgroups were identified using variables linked to suicidal ideation and non-suicidal self-injury, including perceived cognitive deficits, anxiety symptoms, depressive symptoms, resilience, social support, childhood trauma, loneliness, and sleep quality. Measurement tools included the Perceived Deficit Questionnaire-5-item (PDQ-5), Generalized Anxiety Disorder-7 items (GAD-7), Patient Health Questionnaire (PHQ-9), Connor-Davidson Resilience Scale-10 items (CD-RISC10), Multidimensional Scale of Perceived Social Support (MSPSS), Childhood Trauma Questionnaire-Short Form (CTQ-SF), Three-Item Loneliness Scale, and a single-item sleep quality scale.
resultsLatent profile analysis (LPA) revealed four distinct psychosocial characteristic patterns: "class 1," "class 2," "class 3," and "class 4." Compared to class 2, individuals in class 1 had a sixfold increased risk of suicidal ideation (OR = 6.59, 95%CI = 4.42-9.81) and a fivefold increased risk of non-suicidal self-injury (OR = 5.13, 95%CI = 3.38-7.78). Similarly, class 4 individuals had twice the risk of suicidal ideation (OR = 2.13, 95%CI = 1.25-3.62) and non-suicidal self-injury (OR = 2.13, 95%CI = 1.25-3.65) compared to class 2. Conversely, class 3 individuals had a lower risk of suicidal ideation (OR = 0.21, 95%CI = 0.11-0.42) and non-suicidal self-injury (OR = 0.15, 95%CI = 0.07-0.36) than class 2. Additionally, divorced/other marital status individuals had a higher risk of suicidal ideation (OR = 2.34, 95%CI = 1.02-5.35) and non-suicidal self-injury (OR = 2.58, 95%CI = 1.01-6.65) compared to married individuals, while unmarried individuals had a lower risk of suicidal ideation (OR = 0.58, 95%CI = 0.37-0.91).
conclusionsThe study identified eight important psychosocial factors divided into four latent pattern classes. Individuals in "class 1" and "class 4" were more likely to have a higher risk of suicidal ideation and non-suicidal self-injury, while those in "class 3" were more likely to have a lower risk of both outcomes. It is suggested that further research should focus on "class 1" and "class 4" for targeted intervention.
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