Investigating demographic factors in self-medication for upper respiratory tract infections: a quantitative study
Anush Barseghyan,
Lusine Nazaryan,
Maria Rayisyan,
Margarit Beglaryan,
Nana Bekhorashvili and
Marta Simonyan
Mathematical Population Studies, 2025, vol. 32, issue 1, 21-40
Abstract:
This study investigates self-medication behaviors during upper respiratory tract infections among Armenian residents, with a focus on age, gender, and education to identify vulnerable groups and provide evidence-based recommendations. From March to June 2022, a cross-sectional survey was conducted using structured, anonymous questionnaires. The sample size, determined by the Cochran equation based on the population of Armenia, was 1308, with a confidence level of 97% and a margin of error of 3%. The survey had a 99% response rate, resulting in 1291 participants. The ages of the research participants were primarily between 24 and 35 years, with women comprising 67% of respondents. Educational levels showed that 36% had higher education, and 30% had vocational education. Our study reveals that self-medication is common among all ages, genders, and education levels. Developing educational resources and fostering public trust in pharmacists are recommended to enhance self-medication management.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/08898480.2025.2450531 (text/html)
Access to full text is restricted to subscribers.
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:taf:mpopst:v:32:y:2025:i:1:p:21-40
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GMPS20
DOI: 10.1080/08898480.2025.2450531
Access Statistics for this article
Mathematical Population Studies is currently edited by Prof. Noel Bonneuil, Annick Lesne, Tomasz Zadlo, Malay Ghosh and Ezio Venturino
More articles in Mathematical Population Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().