ArticleBMC medical education2025
The impact of grade point average on medical students' perception of the learning environment: a multicenter cross-sectional study across 12 Chinese medical schools.
Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Assessing the clinical learning environment among respiratory therapy students in Saudi Arabia: a cross-sectional study.BMC medical education · 2026Article
- Psychometric Validation of the Persian Johns Hopkins Learning Environment Scale: A Cross-Sectional Validation Study Among Iranian Medical Students.Advances in medical education and practice · 2026Article
- Physical exercise and academic performance among students in the medical field at Jordanian Universities.PloS one · 2026Article
- Parental education level and medical student engagement: a multi-center cross-sectional study.BMC psychology · 2025Article
- Exploring the association between grade point average and work engagement: insights from a cross-sectional study of medical students.Frontiers in medicine · 2025Article
- Structural relationships among academic self-efficacy, academic performance, and career preparation behavior: the roles of value and cost as mediating variables.Frontiers in psychology · 2025Article
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29 authors.
Funding
Abstract
backgroundMedical school learning environment (MSLE) is highly related to medical students' academic performance. However, the grade point average (GPA) rankings have not been studied together with MSLE. We aim to figure out the relationship between GPA rankings and MSLE.
methodsWe gathered data from 12 medical schools in mainland China, employing the Johns Hopkins Learning Environment Scale (JHLES) to assess students' subjective perceptions of MSLE. Subsequently, we performed a cross-sectional study examining GPA rankings and JHLES scores. We conducted Pearson's Chi-square test and Welch's analysis of variance (ANOVA) with GPA rankings as the exposure variable and JHLES score as the outcome variable. Furthermore, we conducted a multivariate logistic regression analysis. Additionally, we developed a nomogram to forecast the outcome of JHLES and evaluated the model's accuracy and performance.
resultsIn Pearson's Chi-square test and Welch's ANOVA. We found a statistically significant difference (p < 0.001) between GPA rankings and JHLES scores. Specifically, students with higher GPA rankings might have a significantly higher proportion of high JHLES scores than those with lower GPA rankings. Through a multivariate logistic regression analysis involving seven variables, including GPA rankings, we took the group whose GPA ranked in the top 20-50% of the population as our reference benchmark. We obtained the odds ratio (OR) values for all GPA groups, along with their 95% confidence intervals (CI) and corresponding p-values. Notably, a nomogram containing seven variables was constructed. Diagnosed by decision curve analysis (DCA), a Receiver Operating Characteristic (ROC) curve, and a calibration curve plot, the nomogram was considered accordant (AUC = 0.627) and accurate.
conclusionGPA ranking is an independent predictor of MSLE. Students with higher GPA rankings are more likely to have higher JHLES scores, which in turn indicates higher satisfaction with the learning environment.
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