ArticleFrontiers in public health2023
The interplay of personality traits, anxiety, and depression in Chinese college students: a network analysis.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 25 citations in OpenAlex.
- Unveiling symptom-level pathways: a network analysis of fear of missing out and mobile phone addiction among Chinese college students.BMC psychology · 2026Article
- Heterogeneous profiles of virtue personality trait in anxiety-depression symptom networks and simulated intervention effects: evidence from a large college student sample.BMC psychology · 2026Article
- Symptoms of depression, suicidal ideation, and personality traits in a sample of medical students: a cross-sectional study.BMC psychiatry · 2026Article
- Neural Mechanisms of Neuroticism: Large-Scale Brain Networks, Developmental Trajectories, and Translational Implications.Brain sciences · 2026Review
- Current status survey and risk factor analysis of metabolic dysfunction-associated steatotic liver disease among adolescents in Hainan Province.Scientific reports · 2026Article
- Personality Traits, Affective Distress, and Addictive Behaviors in Patients with Neurotic Disorders: A Mediation Analysis.European journal of investigation in health, psychology and education · 2026Article
- Prevalence, severity, and risk factors for depressive and anxiety symptoms among adolescents: A cross-sectional study.World journal of psychiatry · 2026Article
- Article
- Depression in Chinese adolescents: prevalence, symptoms, risk factors, affected brain, diagnosis, and interventions.Frontiers in psychology · 2026Review
- Anxiety and its relationship to demographic and personality traits data among special operations divers: a cross-sectional study.BMJ military health · 2025Article
- Anxiety and depression in relation to anxious driving and driver behaviors: the moderating role of traffic climate.BMC psychology · 2025Article
- Trauma Burden Affected People with Multiple Sclerosis During SARS-CoV-2 Pandemic.Journal of clinical medicine · 2025Article
- The reliability and validity of the depression change expectancy scale in college students: a cross-sectional study in China.Scientific reports · 2025Article
- Exploring the Interplay Between Self-Identity, Affective Style, Emotion Regulation, and Anxiety: Based on Bayesian Network Model.Brain and behavior · 2025Article
- Association Between Sleep Quality and Self-Efficacy Trajectories Among Pregnant Women: A Parallel Process Latent Growth Curve Model.Nature and science of sleep · 2025Article
- The effect of neuroticism on depressive symptoms in Chinese college students: maternal parenting practices as moderators.Frontiers in psychology · 2025Article
- Association Between Abnormal Plasma Lipid Metabolism and Psychological Characteristics in Adolescents With Major Depressive Disorder.Depression and anxiety · 2025Article
- Network analysis of resilience, anxiety and depression in clinical nurses.BMC psychiatry · 2024Article
- Evaluating the Impact of Obsessive-Compulsive Symptoms and Personality Types on Perinatal Depressive Symptoms.Behavioral sciences (Basel, Switzerland) · 2024Article
- Psychosomatic health status and corresponding comorbid network analysis of college students in traditional Chinese medicine schools.Frontiers in psychiatry · 2024Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Anxiety and depression are among the greatest contributors to the global burden of diseases. The close associations of personality traits with anxiety and depression have been widely described. However, the common practice of sum scores in previous studies limits the understanding of the fine-grained connections between different personality traits and anxiety and depression symptoms and cannot explore and compare the risk or protective effects of personality traits on anxiety and depression symptoms. Objective: We aimed to determine the fine-grained connections between different personality traits and anxiety and depression symptoms and identify the detrimental or protective effects of different personality traits on anxiety and depression symptoms. Methods: A total of 536 college students from China were recruited online, and the average age was 19.98 ± 1.11. The Chinese version of the Ten-Item Personality Inventory, Generalized Anxiety Disorder-7, and Patient Health Questionnaire-9 was used to investigate the personality traits and symptoms of anxiety and depression of participants after they understood the purpose and filling method of the survey and signed the informed consent. The demographic characteristics were summarized, and the scale scores were calculated. The network model of personality traits and symptoms of anxiety and depression was constructed, and bridge expected influence (BEI) was measured to evaluate the effect of personality traits on anxiety and depression. The edge accuracy and BEI stability were estimated, and the BEI difference and the edge weight difference were tested. Results: In the network, 29 edges (indicating partial correlations between variables) bridged the personality community and the anxiety and depression community, among which the strongest correlations were extraversion-fatigue, agreeableness-suicidal ideation, conscientiousness-uncontrollable worry, neuroticism-excessive worry, neuroticism-irritability, and openness-feelings of worthlessness. Neuroticism had the highest positive BEI value (0.32), agreeableness had the highest negative BEI value (-0.27), and the BEI values of neuroticism and agreeableness were significantly different from those of most other nodes ( Conclusion: There are intricate correlations between personality traits and the symptoms of anxiety and depression in college students. Neuroticism was identified as the most crucial risk trait for depression and anxiety symptoms, while agreeableness was the most central protective trait.
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