ArticleBMC public health2024
Association between social capital, mental health, and digital health literacy among the university students in China: a multigroup analysis based on major difference.
Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- The mediating role of mindfulness in the relationship between digital health literacy and e-healthy nutrition literacy.BMC psychology · 2026Article
- Association between social capital, eHealth literacy, and digital health literacy among undergraduate students in China: a multigroup analysis based on gender differences.Frontiers in public health · 2026Article
- Why do I use generative artificial intelligence (GenAI) to seek health information? A perceptual perspective of GenAI users.Frontiers in public health · 2026Article
- The impact of digital and E-health literacy on college students' mental health: the chain mediation effect of internet addiction and sleep quality.Frontiers in public health · 2026Article
- Assessing the role of physical activity in shaping students' academic motivation: the mediating role of mental health.BMC public health · 2025Article
- Digital health literacy and trust in health information sources: A comparative study of university students in Japan, the United States, and India.SSM - population health · 2025Article
- Panacea for improving mental health: the influential roles of social capital, resilience and job embeddedness on nurses' mental health.Discover mental health · 2025Article
- Effects of Social Capital on Depression in University Students.European journal of investigation in health, psychology and education · 2025Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aimed to clarify medical-nonmedical difference on the relationship between social capital, mental health and digital health literacy of university students in China, and furtherly provide evidence-based suggestions on the improvement of the digital health literacy for the university students.
methodsThe snowball sampling method was used to collect data from the university students (including medical students and nonmedical students) through online questionnaires, and finally 1472 university students were included for the data analysis, of whom, 665 (45.18%) were medical students, 807 (54.82%) were nonmedical students; 462 (31.39%) were male, 1010 (68.61%) were female. Mean value of the age was 21.34 ± 2.33 for medical students vs. 20.96 ± 2.16 for nonmedical students. Descriptive analysis, chi-square test analysis, one-way Analysis of Variance (conducted by SPSS) and structural equation modeling (conducted by AMOS) were employed to explore the difference on the relationship between social capital, mental health and digital health literacy between the medical students and nonmedical students.
resultsThe mean value of the digital health literacy was 36.27 (37.33 for medical students vs. 35.39 for nonmedical students). The SEM analysis showed that there was a statistically positive correlation between social capital and digital health literacy (stronger among the nonmedical students (0.317) than medical students (0.184)). Mental health had a statistically positive impact on the digital health literacy among medical students (0.242), but statistically significant correlation was not observed in nonmedical students (0.017). Social capital was negatively correlated with the mental health for both medical students and NMS (stronger among the nonmedical students (0.366) than medical students (0.255)). And the fitness indices of SEM were same between medical students and nonmedical students (GFI = 0.911, AGFI = 0.859, CFI = 0.922, RMSEA = 0.074).
conclusionThe digital health literacy of the university student was relatively high. Both social capital and mental health could exert a positive effect on digital health literacy, while social capital was found to be positively associated with mental health. Statistical difference was found between medical students and nonmedical students on the above correlations. Implications were given on the improvement of the digital health literacy among university students in China.
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