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已发表论文
中国数字素养与自评健康：通过信息可获取性和心理健康实现的双重路径
Authors Tan C , Hu J, Tong H , Zhang J
Received 30 August 2025
Accepted for publication 8 December 2025
Published 12 December 2025 Volume 2025:18 Pages 3875—3888
DOI https://doi.org/10.2147/RMHP.S560744
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Keon-Hyung Lee
Chunyun Tan,1 Jiangwei Hu,1 Hongxuan Tong,2 Jiale Zhang2,3
1School of Chinese Literature and Media, Hubei University of Arts and Science, Xiangyang, Hubei, People’s Republic of China; 2Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, People’s Republic of China; 3China Science and Technology Development Center of Chinese Medicine, Beijing, People’s Republic of China
Correspondence: Hongxuan Tong; Jiale Zhang, Email thongxuan1@163.com; zhang_tcm@163.com
Background: Digital literacy is increasingly recognized as a key determinant of health, yet the mechanisms linking it to self-rated health in transitional economies like China remain underexplored. This study examines how digital literacy influences self-rated health, directly and indirectly through mental health, while exploring heterogeneity across age and gender groups.
Methods: Using data from the 2023 Chinese General Social Survey (n=8,039 adults aged 18 and above), we constructed a multidimensional digital literacy index via entropy weighting and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), integrating dimensions of digital access, usage, and entertainment. Structural equation modeling (SEM) and multi-group analyses were employed to test relationships, controlling for gender, age, and education. Model fit was assessed using RMSEA, CFI, and other indices; robustness was verified through alternative specifications, sensitivity checks, and outlier trimming.
Results: Digital literacy had a significant positive effect on self-rated health (β=0.115, p< 0.001), comprising a direct effect (β=0.076, p< 0.001) and an indirect effect via mental health (β=0.039, p< 0.001; mediation proportion=33.9%). Multi-group SEM revealed heterogeneity: effects were strongest in young and middle-aged females (β=0.141– 0.143, p< 0.001) and weaker in older adults (eg, β=0.050 for females > 60, p< 0.01). Mental health mediated more strongly in older groups (β=0.500, p< 0.001). The model explained 38.5% of variance in self-rated health.
Conclusion: Digital literacy positively influences self-rated health by enhancing resource access and mental well-being, with pronounced benefits for younger and female populations. Policymakers should prioritize age-appropriate digital literacy initiatives with psychological support to reduce disparities, aligning with China’s “Healthy China 2030” and “Digital China” strategies.
Keywords: digital literacy, self-rated health, dual pathways, information accessibility, mental health, Healthy China
1School of Chinese Literature and Media, Hubei University of Arts and Science, Xiangyang, Hubei, People’s Republic of China; 2Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, People’s Republic of China; 3China Science and Technology Development Center of Chinese Medicine, Beijing, People’s Republic of China
Correspondence: Hongxuan Tong; Jiale Zhang, Email thongxuan1@163.com; zhang_tcm@163.com
Background: Digital literacy is increasingly recognized as a key determinant of health, yet the mechanisms linking it to self-rated health in transitional economies like China remain underexplored. This study examines how digital literacy influences self-rated health, directly and indirectly through mental health, while exploring heterogeneity across age and gender groups.
Methods: Using data from the 2023 Chinese General Social Survey (n=8,039 adults aged 18 and above), we constructed a multidimensional digital literacy index via entropy weighting and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), integrating dimensions of digital access, usage, and entertainment. Structural equation modeling (SEM) and multi-group analyses were employed to test relationships, controlling for gender, age, and education. Model fit was assessed using RMSEA, CFI, and other indices; robustness was verified through alternative specifications, sensitivity checks, and outlier trimming.
Results: Digital literacy had a significant positive effect on self-rated health (β=0.115, p< 0.001), comprising a direct effect (β=0.076, p< 0.001) and an indirect effect via mental health (β=0.039, p< 0.001; mediation proportion=33.9%). Multi-group SEM revealed heterogeneity: effects were strongest in young and middle-aged females (β=0.141– 0.143, p< 0.001) and weaker in older adults (eg, β=0.050 for females > 60, p< 0.01). Mental health mediated more strongly in older groups (β=0.500, p< 0.001). The model explained 38.5% of variance in self-rated health.
Conclusion: Digital literacy positively influences self-rated health by enhancing resource access and mental well-being, with pronounced benefits for younger and female populations. Policymakers should prioritize age-appropriate digital literacy initiatives with psychological support to reduce disparities, aligning with China’s “Healthy China 2030” and “Digital China” strategies.
Keywords: digital literacy, self-rated health, dual pathways, information accessibility, mental health, Healthy China