Use of medicinal plants during COVID-19 pandemic in Brazil

Author:

da Silva Alciellen Mendes,Horsth Ana Luísa,Timóteo Élida da Silva,Faria Ronaldo José,Bazoni Patrícia Silva,Meira Eduardo Frizzera,dos Santos Jéssica Barreto Ribeiro,da Silva Michael Ruberson Ribeiro

Abstract

AbstractMedicinal plants are an integrative and complementary health practice widely used by the population. However, its use is not without risks. This study assessed the profile and associated factors with the traditional use of medicinal plants. To this end, a cross-sectional survey study was conducted in a southeastern Brazilian city. Descriptive analysis was performed by frequency distribution and median and interquartile range. Associated factors with the use of medicinal plants were analyzed using Poisson regression with robust variance. A total of 641 people were interviewed, of whom 258 (40.2%) reported using medicinal plants. A total of 79 distinct plants were identified, of whom Melissa officinalis (31.0%), Peumus boldus (24.4%), Mentha spicata (20.9%), Matricaria recutita L. (18.2%), Rosmarinus officinalis (17.0%), and Foeniculum vulgare (14.7%) were the most used. There were no reports of medicinal plants used to treat COVID-19. However, anxiety was the most frequently cited indication for using medicinal plants, a health condition exacerbated by the COVID-19 pandemic. Furthermore, the use of medicinal plants for treating respiratory and gastrointestinal symptoms similar to those in COVID-19 has been identified. There was an association between the use of medicinal plants and females, non-white, lower schooling, higher income, and comorbidities.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3