ArticleFrontiers in public health2023
A latent profile analysis of sleep disturbance in relation to mental health among college students in China.
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 16 papers.
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Who cites it
16 citing papers in PubMed, 20 citations in OpenAlex.
- Sleep heterogeneity in adolescents with type 1 diabetes: correlations with glycemic control, stigma, and resilience.Pediatric research · 2026Article
- Longitudinal Effects of Academic Performance on Depression and Subjective Well-Being Among Students in China's Elite Universities.Behavioral sciences (Basel, Switzerland) · 2026Article
- The associations of insomnia symptoms and clinical features as well as blood metabolic parameters in adolescents with major depressive disorders.European archives of psychiatry and clinical neuroscience · 2026Article
- Is early-morning class exposure associated with lower positive mental health among university students? Conditional associations and heterogeneous profiles.Frontiers in public health · 2026Article
- To explore the relationship between physical activity and sleep quality of college students based on the mediating effect of stress and subjective well-being.BMC psychology · 2025Article
- Sleep in the academic sphere: identifying sleep profiles and their influencing factors using latent profile analysis in German university students.BMC psychology · 2025Article
- A Latent Profile Analysis of Psychological Functioning During the COVID-19 Pandemic: Adolescents' Perceived Social Support and Lifestyle Behaviours.International journal of psychology : Journal international de psychologie · 2025Article
- Sleep quality and associated factors in Latin American medical students: a cross-sectional and multicenter study.BMC public health · 2025Article
- Profiles and Transitions of Sleep Disturbance and Depression Among Chinese Adolescents: The Predictive Roles of Life Stress and Resilience.Depression and anxiety · 2025Article
- Cross-Sectional Study on Analysis of the Prevalence and Influencing Factors of Sleep Disorders among College Students in a Certain University in China.Actas espanolas de psiquiatria · 2024Article
- Mental Health Status Profiles of Dentists in South Korea: A Latent Profile Analysis Approach.Psychiatry investigation · 2024Article
- Moderating and mediating effects of resilience between childhood trauma and psychotic-like experiences among college students.BMC psychiatry · 2024Article
- Study on the Profiles of Sleep Disorders, Associated Factors, and Pathways Among Gynecological Cancer Patients - A Latent Profile Analysis.Nature and science of sleep · 2024Article
- Examining the influence of problematic internet use on sleep quality in Chinese adolescents: a study using the extended Stressor-Strain-Outcome (SSO) model.Frontiers in psychology · 2024Article
- Psychotic-Like Experiences and Suicidal Ideation Among Adolescents: The Chain Mediating Role of Insomnia Symptoms and Resilience.Psychology research and behavior management · 2023Article
- Sleep Profiles Among Ethnically-Racially Minoritized Adolescents: Associations with Sociocultural Experiences and Developmental Outcomes.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aims: This study aimed to examine the subtype classification characteristics of sleep disturbance (SD) in college students and their associations with sample characteristic factors and mental health outcomes. Methods: The sample comprised 4,302 college students (Mean age = 19.92 ± 1.42 years, 58.6% females). The Youth Self-Rating Insomnia Scale, Beck Depression Inventory, 8-item Positive Subscale of the Community Assessment of Psychic Experiences, and 10-item Connor-Davidson Resilience Scale were used to assess adolescents' sleep disturbance, depressive symptoms, psychotic-like experiences (PLEs), and resilience. Latent profile analysis, logistic regression, and liner regression analysis were used to analyze the data. Results: Three subtypes of SD in college students were identified: the high SD profile (10.6%), the mild SD profile (37.5%), and the no SD profile (51.9%). Compared with college students in the "no SD" profile, risk factors for "high SD" include being male and poor parental marital status. Sophomores were found to predict the "high SD" profile or "mild SD" profile relative to the "no SD" profile. College students in the "mild SD" profile or "high SD" profile were more likely to have a higher level of depressive symptoms and PLEs, while a lower level of resilience. Conclusion: The findings highlighted that target intervention is urgently needed for male college students, sophomores, and those with poor parental marital status in the "mild SD" profile or "high SD" profile.
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