ArticleBMC psychiatry2025
Factors associated with depressive disorders in college students using quantile regression analysis.
Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Association Between Depressive Symptoms and Self-Reported Ongoing Medication Use Among Pharmacy Students: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2026Article
- Path and Bayesian network analyses in the complex design of a well-being survey via New Zealand's Integrated Data Infrastructure.Frontiers in psychiatry · 2026Article
- Nonlinear associations of BMI and body dissatisfaction with depression and an exploratory decomposition of the indirect association: a cross-sectional study of Chinese university students.Frontiers in psychiatry · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundDepressive disorders among college students are a significant public health issue. Most existing studies on factors related to depressive disorders use traditional linear regression models, which have limited ability to reveal deeper insights. This study aims to explore the complexities of depressive disorders further by applying quantile regression.
methodsThe study was conducted at six universities in China from November 26 to December 6, 2022, using a cross-sectional questionnaire survey with a cluster sampling design. The questionnaire includes the Patient Health Questionnaire-9, the Interpersonal Sensitivity subscale of the Symptom Checklist-90, the Positive Psychological Capital Questionnaire, and the Perceived Social Support Scale. Data analysis was performed using quantile regression with SPSS 26.0.
resultsA total of 3,156 college students participated, and 2,580 valid questionnaires were collected. The prevalence of depressive disorders was 22.4%. Quantile regression indicated that depressive disorders were linked to social support (β
conclusionThis study identifies the factors influencing college students with varying levels of depressive disorders. Students with severe depression tend to exhibit higher levels of interpersonal sensitivity, psychological capital, and social support. Percentile analysis helps to explore mental health issues more thoroughly, providing valuable details for targeted intervention.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.