Profiles of medication literacy and associated factors among young and middle-aged hypertensive patients in China: A latent profile analysis
Rui Wang, Chongbin Liu, Yu Wang, Xiaopu Shi, Siwen Ma, Gaokai Li, Gang Wang, Wejdan Shahin, Wejdan Shahin, Wejdan Shahin, Wejdan Shahin, Wejdan Shahin, Ilse Bloom, Wejdan Shahin, Wejdan Shahin, Ilse Bloom, Fan Chen, Wejdan Shahin, Wejdan Shahin, Ilse Bloom, Fan Chen, Fan Chen, Wejdan Shahin, Wejdan Shahin, Ilse Bloom, Fan Chen, Fan Chen · 2026
Read Profiles of medication literacy and associated factors among young and middle-aged hypertensive patients in China: A latent profile analysis by Rui Wang, Chongbin Liu, Yu Wang, Xiaopu Shi, Siwen Ma, Gaokai Li, Gang Wang, Wejdan Shahin, Wejdan Shahin, Wejdan Shahin, Wejdan Shahin, Wejdan Shahin, Ilse Bloom, Wejdan Shahin, Wejdan Shahin, Ilse Bloom, Fan Chen, Wejdan Shahin, Wejdan Shahin, Ilse Bloom, Fan Chen, Fan Chen, Wejdan Shahin, Wejdan Shahin, Ilse Bloom, Fan Chen, Fan Chen (2026) 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/PMC13390851.txt.
Description
Rui Wang leads a 2026 analysis sorting younger Chinese patients with high blood pressure into distinct medication literacy profiles. Knowing how to use medicines safely varies widely among patients, and averages hide the groups most at risk of misuse.
Using latent profile analysis, a method that groups people by shared response patterns, the team identified separate literacy profiles among young and middle-aged patients. They also examined which personal and clinical factors predict profile membership. Hypertension clinicians gain a segmentation they can act on: education efforts can target the profile that struggles most. That may mean help with dosing schedules or side-effect judgement. It beats giving every patient the same leaflet.
Catalog record
| CREATOR | Rui Wang, Chongbin Liu, Yu Wang, Xiaopu Shi, Siwen Ma, Gaokai Li, Gang Wang, Wejdan Shahin, Wejdan Shahin, Wejdan Shahin, Wejdan Shahin, Wejdan Shahin, Ilse Bloom, Wejdan Shahin, Wejdan Shahin, Ilse Bloom, Fan Chen, Wejdan Shahin, Wejdan Shahin, Ilse Bloom, Fan Chen, Fan Chen, Wejdan Shahin, Wejdan Shahin, Ilse Bloom, Fan Chen, Fan Chen |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 122635 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |