Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, 250012, China.
BMC Public Health. 2024 Aug 13;24(1):2193. doi: 10.1186/s12889-024-19672-7.
This 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.
The 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.
The 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).
The 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.
本研究旨在厘清社会资本、心理健康与大学生数字健康素养之间的医学-非医学差异，为提升大学生数字健康素养提供循证建议。
采用雪球抽样法，通过在线问卷对大学生（包括医学生和非医学生）进行数据收集，最终纳入 1472 名大学生进行数据分析，其中医学生 665 名（45.18%），非医学生 807 名（54.82%）；男生 462 名（31.39%），女生 1010 名（68.61%）。医学生年龄均值为 21.34±2.33 岁，非医学生为 20.96±2.16 岁。采用描述性分析、卡方检验分析、单因素方差分析（SPSS 软件）和结构方程模型（AMOS 软件），探讨医学生和非医学生社会资本、心理健康与数字健康素养之间关系的差异。
大学生数字健康素养的均值为 36.27 分（医学生 37.33 分，非医学生 35.39 分）。结构方程模型分析显示，社会资本与数字健康素养呈正相关（非医学生相关性更强，为 0.317，医学生为 0.184）。心理健康对医学生的数字健康素养有正向影响（0.242），而非医学生则不显著（0.017）。社会资本与医学生和非医学生的心理健康均呈负相关（非医学生相关性更强，为 0.366，医学生为 0.255）。医学生和非医学生的结构方程模型拟合指标相同（GFI=0.911，AGFI=0.859，CFI=0.922，RMSEA=0.074）。
大学生数字健康素养水平较高。社会资本和心理健康均对数字健康素养有正向影响，社会资本与心理健康呈正相关。医学生和非医学生在上述关联上存在统计学差异。本研究为提升中国大学生数字健康素养提供了启示。
