Evidence map›Paper›PMID 42106706›Full record

ArticleBMC nursing2026

Depression, anxiety and stress among nursing students: a latent profile analysis.

Li Zeng, Jiayi Zhou, Yuan Zhang, Zhongqing Yuan, Fengxue Yang, Xiuying Hu

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Article in BMC nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Li Zeng *Innovation Center of Nursing Research and Nursing Key Laboratory of Sichuan Province, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.ORCID http://orcid.org/0000-0002-4840-8254
Jiayi Zhou *Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.
Yuan ZhangNeijiang Health Vocational College, Neijiang, China.
Zhongqing YuanSichuan Nursing Vocational College, Chengdu, China.
Fengxue YangSichuan Nursing Vocational College, Chengdu, China.
Xiuying HuInnovation Center of Nursing Research and Nursing Key Laboratory of Sichuan Province, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China. huxiuying@scu.edu.cn.

Funding

Research Planning Project of the Sichuan Psychological Society SCSXLXH202403012
6 · The paper itself

Abstract

backgroundNursing students experience high prevalence of depression, anxiety, and stress, but traditional variable‑centered approaches may overlook distinct subgroups. This study aimed to identify homogeneous profiles of affective distress and examine their related factors.

methodsNursing students (n = 1184) from five medical colleges in Sichuan Province, China were recruited from March 3 to May 30, 2025. Participants were asked to complete questionnaires regarding depression, anxiety and stress, social emotional competency and alexithymia. Latent profile analysis (LPA) was used to identify depression, anxiety, and stress profiles. Chi-square tests and one-way analysis of variance (ANOVA) were used to examine differences in characteristics. Multivariate logistic regression analysis was conducted to explore related factors.

resultsThe prevalence of depression, anxiety, and stress among nursing students were 38.52%, 46.12%, and 22.47%, respectively. LPA revealed three distinct profiles: "severe affective distress" (11.06%), "moderate affective distress" (35.14%), and "mild affective distress" (53.80%). Related factors for depression, anxiety, and stress included social emotional competency, alexithymia, gender, parenting style, monthly family income, professional identity, satisfaction with campus life, adverse childhood experiences, and campus bullying.

conclusionsTo our knowledge, limited research has applied LPA to examine depression, anxiety, and stress among nursing students. This study identified three distinct latent profiles, revealing significant heterogeneity influenced by individual, family, academic, traumatic characteristics, while social emotional competency and alexithymia. The identified associated factors, including modifiable characteristics such as social emotional competency, alexithymia, campus environment, and bullying, may inform future targeted interventions. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

AnxietyDepressionLatent profile analysisNursing studentsStress

Identifiers

PMID42106706
PMCPMC13330252

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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.