The Misconception of Antibiotic Equal to an Anti-Inflammatory Drug Promoting Antibiotic Misuse among Chinese University Students
Weiyi Wang,
Xiaomin Wang,
Yanhong Jessika Hu,
Dan Wu,
Jingjing Lu,
Yannan Xu,
Chenhui Sun and
Xudong Zhou
Additional contact information
Weiyi Wang: Institute for Social Medicine and Family Medicine, School of Medicine, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
Xiaomin Wang: Institute for Social Medicine and Family Medicine, School of Medicine, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
Yanhong Jessika Hu: School of Public Health, The University of Hong Kong, 7 Sassoon Road, Pokfulam 10000, Hong Kong
Dan Wu: The University of North Carolina at Chapel Hill Project-China, 2 Lujing Road, Guangzhou 510095, China
Jingjing Lu: Institute for Social Medicine and Family Medicine, School of Medicine, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
Yannan Xu: Institute for Social Medicine and Family Medicine, School of Medicine, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
Chenhui Sun: Institute for Social Medicine and Family Medicine, School of Medicine, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
Xudong Zhou: Institute for Social Medicine and Family Medicine, School of Medicine, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
IJERPH, 2019, vol. 16, issue 3, 1-8
Abstract:
Massive misuse of antibiotics is one of the most important reasons for antimicrobial resistance (AMR). Misconceptions of antibiotics contribute to antibiotic misuse behaviors. This study aims to examine whether university students hold the misconception that Antibiotic is a Xiaoyanyao (literally means anti-inflammatory drug in Chinese), and association between this misconception and antibiotic misuse behaviors. A cross-sectional study was conducted among university students using the cluster random sampling method in six universities of six regions in China (one university per region). The Chi-square test was used to assess the relationship between the misconception and antibiotic misuse behaviors. Logistic regression was conducted to identify the risk factors for antibiotic misuse behaviors. 11,192 of university students completed the entire questionnaire. There were 3882 (34.7%) students who were considered to have the misconception. Female students were more likely to have the misconception compared with males (36.7% vs. 32.6%, P < 0.001). Those students with a background of social science/humanities were more likely to have the misconception compared with those from science and medicine (44.1% vs. 30.3% vs. 20.1%, P < 0.001). Students came from rural areas compared with those from urban areas (37.5% vs. 32.5%, P < 0.001) were more likely to have the misconception. Students who had the misconception were 1.51 (95% CI 1.21–1.89, P < 0.001) times, 1.34 (95% CI 1.21–1.48, P < 0.001) times, and 1.36 (95% CI 1.24–1.50, P < 0.001) times more likely to report self-medication, request to obtain antibiotics, and take antibiotics prophylactically than those who did not have this misconception, respectively. The high proportion of university students’ misconception on Antibiotic is a Xiaoyanyao is worth more attention. Effective health education and interventions need to be promoted among university students and the whole population.
Keywords: misconception; antimicrobial resistance; antibiotic misuse behaviors; university students (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1660-4601/16/3/335/pdf (application/pdf)
https://www.mdpi.com/1660-4601/16/3/335/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:16:y:2019:i:3:p:335-:d:200814
Access Statistics for this article
IJERPH is currently edited by Ms. Jenna Liu
More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().