Evidence map›Paper›PMID 41409334›Full record

ArticleFrontiers in psychiatry2025

An explainable analysis of depression status and influencing factors among nursing students.

Yingying Li, Bolun Sun, Xianzhe Wu, Yanchun Li

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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.

Yingying LiSchool of Medicine, Qilu Institute of Technology, Jinan, Shandong, China.
Bolun SunDepartment of Pharmaceutical and Health Care Sciences, Jinan Technician College, Jinan, Shandong, China.
Xianzhe WuDepartment of Pharmaceutical and Health Care Sciences, Jinan Technician College, Jinan, Shandong, China.
Yanchun LiSchool of Nursing, Qilu Medical University, Zibo, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depression is highly prevalent among nursing students (28.7%-30%). Although previous studies have identified multiple influencing factors, the lack of systematic prioritization hinders targeted intervention in resource-limited contexts. This study employed XGBoost and SHAP values to identify and prioritize key risk factors, thereby establishing a data-driven framework to assist educational administrators in optimizing resource allocation and facilitating early detection and personalized support. Methods: This multicenter cross-sectional study was conducted from September to December 2024 among nursing students recruited from ten universities in Shandong, Jiangxi, Henan, Hubei, and Sichuan provinces. Data were collected using a structured questionnaire comprising a demographic characteristics form, the Center for Epidemiological Studies Depression Scale (CES-D), and the Social Interaction Anxiety Scale (SIAS). Data cleaning was performed in Excel, and statistical analyses were conducted using SPSS Statistics version 27.0 and Python 3.9. Results: The incidence of depression among nursing students is 28.60%. According to the random forest model, the order of depression predicted by this study from high to low is Sleep Condition, Social anxiety, Mother's Educational Level, Sexual Orientation, Smoking, and Household composition. Conclusion: Depression is highly prevalent among nursing students, representing a significant challenge to both student well-being and the future healthcare workforce. This study identified and prioritized key determinants of depression, including poor sleep quality, social anxiety, low maternal education, sexual minority status, smoking, and single-parent family background. These findings can provide a basis for nursing administrators and educators to develop targeted and personalized intervention strategies.

Indexed as

depressionextreme gradient boostingnursing educationnursing studentsXGBoost

Identifiers

PMID41409334
PMCPMC12705585

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.