ArticleMedical education online2022
Network analysis of psychological factors related to academic pressure faced by medical students in the central and highland regions of Vietnam.
Article in Medical education online, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 6 citations in OpenAlex.
- Exploring Core Symptoms and Symptom Clusters Among Older Adults with Hypertension-Diabetes Comorbidity: A Network Analysis.Healthcare (Basel, Switzerland) · 2026Article
- The impact of grade point average on medical students' perception of the learning environment: a multicenter cross-sectional study across 12 Chinese medical schools.BMC medical education · 2025Article
- The association between academic stress, social support, and self-regulatory fatigue among nursing students: a cross-sectional study based on a structural equation modelling approach.BMC medical education · 2022Article
- Self-control as an important factor affecting the online learning readiness of Vietnamese medical and health students during the COVID-19 pandemic: a network analysis.Journal of educational evaluation for health professions · 2022Article
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Authors and funding
9 authors at 2 institutions in 1 country.
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Abstract
Medical students experience extensive pressure during their undergraduate courses. Given the complex associations between psychological factors in association with academic pressure. We investigated the study with objectives: To examine psychological factors related to academic pressure by analysing interactions between 'study motivation', 'study environment', 'study conditions', 'teacher quality', 'training programme', 'management system', 'evaluation', and 'extracurricular activities' using a network analysis approach. A total of 878 medical students majoring in general medicine from the first, third, and fifth years of a six-year course at the largest medical university in central and highland regions of Vietnam were involved in this cross-sectional study. The approach used was convenient cluster sampling with a self-administered questionnaire by the participants. Network analysis for pairwise correlations between psychological factors was estimated . Important factors in the network analysis were calculated using centrality indices including node strength (S), closeness (C), and betweenness (B). The higher score of S, C, and B indicate the more importance of the node. The results obtained from the network analysis of eight psychological factors showed that 'teaching quality' was mostly connected with other factors overall, while the 'training programme' was seen in both genders and freshman students. 'Study conditions' and 'training programme' were mostly connected with other factors in junior and senior students, respectively. The strong pairwise correlation was confirmed: management system and evaluation activity, followed by study environment and study conditions, and teaching quality and training programme. Additionally, nodes with high centrality were shown to be 'management system' (S = 0.97, C = 0.019, B = 1), and 'training programme' (S = 0.96, C = 0.021, B = 4). Our study findings indicate that satisfaction with the training programme amongst eight psychological factors is the most important factor affecting academic pressure among medical students. The training programme is linked with teaching quality, whereas the management system is correlated with evaluation activity.
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