Home Journals Articles Updates About
CN
image
收藏切换
Potential categories, influencing factors, and improvement strategies of traditional Chinese medicine health literacy among Chinese residents: Based on latent profile analysis
收藏切换
Wen-ting WANG1, Xiang-qi FU2, Jian-ping REN3, Sheng WANG2
Modern Preventive Medicine | 2026, 53(8) : 1434 - 1439
Less
收藏切换
Modern Preventive Medicine | 2026, 53(8): 1434-1439
• Health Policy and Management •
Potential categories, influencing factors, and improvement strategies of traditional Chinese medicine health literacy among Chinese residents: Based on latent profile analysis
Full
Wen-ting WANG1, Xiang-qi FU2, Jian-ping REN3, Sheng WANG2
Affiliations
  • Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, Zhejiang 310006, China
Published: 2026-04-25 doi: 10.20043/j.cnki.MPM.202511367
Outline
收藏切换
Objective

To identify latent classes of traditional Chinese medicine (TCM) health literacy among Chinese residents and examine influencing factors, in order to inform targeted promotion strategies.

Methods

A combined stratified and typical sampling approach was used to survey 1 259 residents from Hangzhou, Hefei, and Sanming. Latent profile analysis (LPA) identified TCM health literacy classes, and logistic regression analyzed influencing factors.

Results

Residents' TCM health literacy has reached 57.9%. Four latent classes were identified: knowledge-belief separation (18.6%), basic deficiency (29.4%), balanced literacy (34.3%), and ideal exemplary (17.7%). Significant influencing factors included age, monthly income, medical payment method, self-rated health, and awareness of TCM health service and insurance reimbursement.

Conclusion

There is significant group heterogeneity in TCM health literacy among Chinese residents. An intervention system covering policy guidance, community implementation and individual participation is required, featuring differentiated strategies based on knowledge popularization, belief cultivation, behavior transformation and role modeling, so as to foster overall improvement in TCM health literacy.

Traditional Chinese medicine  /  Health literacy  /  Latent profile analysis  /  Improvement strategies
王文婷, 傅相绮, 任建萍, 汪胜. 基于潜在剖面分析的我国居民中医药健康素养类别、影响因素和提升策略研究. 现代预防医学, 2026 , 53 (8) : 1434 -1439 . DOI: 10.20043/j.cnki.MPM.202511367
Wen-ting WANG, Xiang-qi FU, Jian-ping REN, Sheng WANG. Potential categories, influencing factors, and improvement strategies of traditional Chinese medicine health literacy among Chinese residents: Based on latent profile analysis[J]. Modern Preventive Medicine, 2026 , 53 (8) : 1434 -1439 . DOI: 10.20043/j.cnki.MPM.202511367
Appendix
Less
Year 2026 volume 53 Issue 8
24
11
Cite this Article
BibTeX
Article Info
doi: 10.20043/j.cnki.MPM.202511367
  • Receive Date：2025-11-23
  • Online Date：2026-11-02
  • Published：2026-04-25
Article Data
Affiliations
History
  • Received：2025-11-23
Funding
Affiliations
    Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, Zhejiang 310006, China
References
Share
https://castjournals.cast.org.cn/joweb/xdyfyx/EN/10.20043/j.cnki.MPM.202511367
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House