Evidence map›Paper›PMID 39144657›Full record

ArticleFrontiers in medicine2024

Good learning environment of medical schools is an independent predictor for medical students' study engagement.

Runzhi Huang, Yuanan Li, Meiqiong Gong, Wei Zhang, Shuyuan Xian, Jieling Tang, Bingnan Lu, Yiting Yang, Minghao Jin, Weijin Qian and 16 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

26 authors.

Runzhi Huang *Department of Burn Surgery, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Yuanan Li *Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Meiqiong Gong *Office of Educational Administration, Shanghai University, Shanghai, China.
Wei Zhang *Department of Burn Surgery, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Shuyuan XianDepartment of Burn Surgery, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Jieling TangShanghai Jiao Tong University School of Medicine, Shanghai, China.
Bingnan LuShanghai Jiao Tong University School of Medicine, Shanghai, China.
Yiting YangShanghai Jiao Tong University School of Medicine, Shanghai, China.
Minghao JinShanghai Jiao Tong University School of Medicine, Shanghai, China.
Weijin QianShanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhenglin LiuShanghai Jiao Tong University School of Medicine, Shanghai, China.
Haonan MaShanghai Jiao Tong University School of Medicine, Shanghai, China.
Xinru WuShanghai Jiao Tong University School of Medicine, Shanghai, China.
Huabin YinDepartment of Orthopedics, Shanghai General Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Xin LiuDepartment of Rheumatology and Immunology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Chongyou ZhangBasic Medical College, Harbin Medical University, Heilongjiang, China.
Erbin DuFrist Clinical Medical College, Mudanjiang Medical University, Mudanjiang, China.
Qing LinDepartment of Human Anatomy, Laboratory of Clinical Applied Anatomy, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China.
Zongqiang HuangDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Min LinMental Health Education and Consultation Center, Chongqing Medical University, Chongqing, China.
Xiaonan WangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Yue WangDepartment of Health Statistics, School of Public Health, Air Force Medical University, Xi'an, China.
Wenfang ChenFaculty of Medicine, Jinggangshan University, Ji'an, China.
Yifan LiuShanghai Jiao Tong University School of Medicine, Shanghai, China.
Jie ZhangDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China.
Shizhao JiDepartment of Burn Surgery, The First Affiliated Hospital of Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Study engagement is regarded important to medical students' physical and mental wellbeing. However, the relationship between learning environment of medical schools and the study engagement of medical students was still unclear. This study was aimed to ascertain the positive effect of learning environment in study engagement. Methods: We collected 10,901 valid questionnaires from 12 medical universities in China, and UWES-S was utilized to assess the study engagement levels. Then Pearson Chi-Square test and Welch's ANOVA test were conducted to find the relationship between study engagement and learning environment, and subgroup analysis was used to eradicate possible influence of confounding factors. After that, a multivariate analysis was performed to prove learning environment was an independent factor, and we constructed a nomogram as a predictive model. Results: With Pearson Chi-Square test ( Conclusion: We concluded that learning environment of school was an independent factor of medical student's study engagement. A higher level of learning environment of medical school came with a higher level of medical students' study engagement. The nomogram could serve as a predictive reference for the educators and researchers.

Indexed as

learning environmentmedical educationmedical studentsnomogramstudy engagementUtrecht Work Engagement Scale (UWES)

Identifiers

PMID39144657
PMCPMC11322046

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.