The impact of demographic characteristics on health literacy in the population: a mixed model analysis based on panel survey data from China
Rui Li, Xinyu Xu, Lingming Gong, Tiance Li, Feidan Deng, Yan Leng, Weiliang Liu, Sheng Gao, Fangyao Chen, Liansen Wang, Jing Han · 2025
Read The impact of demographic characteristics on health literacy in the population: a mixed model analysis based on panel survey data from China by Rui Li, Xinyu Xu, Lingming Gong, Tiance Li, Feidan Deng, Yan Leng, Weiliang Liu, Sheng Gao, Fangyao Chen, Liansen Wang, Jing Han (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12859951.txt.
Description
Rui Li and co-authors analysed health literacy in Shandong Province, China, in a 2025 study. Health literacy means how well people find and use health information. The team used survey data from more than twelve thousand people across 2012, 2016, and 2020.
Rates fell with age, from young adults to those in their late fifties and early sixties. City residents scored far higher than rural residents. Each step up in schooling raised the odds of good literacy, though that edge shrank over time. The authors call for focused help for older people, better digital access in rural areas, and health learning built into schooling.
Catalog record
| CREATOR | Rui Li, Xinyu Xu, Lingming Gong, Tiance Li, Feidan Deng, Yan Leng, Weiliang Liu, Sheng Gao, Fangyao Chen, Liansen Wang, Jing Han |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 51 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |