Evidence map›Paper›PMID 41567675›Full record

ArticleFrontiers in medicine2025

Factors associated with career decision-making difficulties among undergraduate nursing students: a latent profile analysis.

Hongting Zhou, Liebin Huang, Zhijian Fu, Lin Li, Zhenzhen Huang, Junru Zhang, Mengjie Tang, Xinan Wang, Weijin Sui, Yiyu Zhuang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Hongting Zhou *Department of Nursing, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, China.
Liebin Huang *Department of Nursing, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, China.
Zhijian FuDepartment of Nursing, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, China.
Lin LiDepartment of Nursing, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, China.
Zhenzhen HuangDepartment of Nursing, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, China.
Junru ZhangDepartment of Nursing, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, China.
Mengjie TangFaculty of Public Health and Nursing, Hangzhou Normal University School, Hangzhou, China.
Xinan WangDepartment of Nursing, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, China.
Weijin SuiDepartment of Nursing, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, China.
Yiyu ZhuangDepartment of Nursing, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Career decision-making difficulties are often associated with negative outcomes, including decreased motivation for learning, weakened professional identity, increased burnout, and a higher risk of turnover. However, most research has concentrated on the overall levels of career decision-making difficulties, overlooking the potential variations among different student subgroups. This gap hinders the creation of targeted intervention strategies. Purpose: This study aimed to identify latent profiles of Career decision-making difficulties among undergraduate nursing students and explore factors associated with these profiles. Design: A cross-sectional study. Methods: A convenience sampling method was employed to recruit 562 undergraduate nursing students from three universities in China. Participants completed validated measures assessing demographics, learning engagement, perceived social support, and career decision-making difficulties. Latent profile analysis identified distinct profiles of career decision-making difficulties, and multinomial logistic regression examined the associated factors. Results: Three distinct career decision-making difficulties profiles emerged: multidimensional decision-making block (58.5%), knowledge-action disconnection (34.0%), and information-driven advantage (7.5%). Perceived social support, learning engagement, and class leadership status were significantly associated with these career decision-making profiles. Conclusion: Nursing students face diverse career decision-making challenges, highlighting the need for tailored institutional support. Students in the "Multidimensional Decision-Making Block" profile may benefit from structured career development courses. For the "Knowledge-Action Disconnection" profile, strengthening career information processing is crucial. Enhancing learning engagement, decision-making skills, and support networks can reduce uncertainty and better prepare students for their professional futures.

Indexed as

career decision-making difficultieslatent profile analysislearning engagementnursing studentsperceived social supportundergraduate

Identifiers

PMID41567675
PMCPMC12816191

What OpenQuestion holds

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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.