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A Comparative Analysis of Ethnomedicinal Practices for Treating Gastrointestinal Disorders Used by Communities Living in Three National Parks (Korea)

机译:比较生活在三个国家公园中的社区所用胃肠道疾病治疗的人种疗法实践(韩国)

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摘要

The purpose of this study is to comparatively analyze the ethnomedicinal practices on gastrointestinal disorders within communities in Jirisan National Park, Gayasan National Park, and Hallasan National Park of Korea. Data was collected through participant observations and indepth interviews with semistructured questionnaires. Methods for comparative analysis were accomplished using the informant consensus factor, fidelity level, and internetwork analysis. A total of 490 ethnomedicinal practices recorded from the communities were classified into 110 families, 176 genera, and 220 species that included plants, animals, fungi, and alga. The informant consensus factor values in the disorder categories were enteritis, and gastralgia (1.0), followed by indigestion (0.94), constipation (0.93), and abdominal pain and gastroenteric trouble (0.92). In terms of fidelity levels, 71 plant species showed fidelity levels of 100%. The internetwork analysis between disorders and all medicinal species are grouped in the center by the four categories of indigestion, diarrhea, abdominal pain, and gastroenteric trouble, respectively. Regarding the research method of this study, the comparative analysis methods will contribute to the availability of orally transmitted ethnomedicinal knowledge. Among the methods of analysis, the use of internetwork analysis as a tool for analysis in this study provides imperative internetwork maps between gastrointestinal disorders and medicinal species.
机译:这项研究的目的是比较吉里森国家公园,加耶山国家公园和韩国汉拿山国家公园社区内胃肠道疾病的人种医学实践。通过参与者的观察和对半结构化问卷的深入访谈收集数据。比较分析的方法是使用知情者的共识因子,保真度和网络分析来完成的。从该社区记录的总共490种民族医学实践被划分为110个科,176属和220种,其中包括植物,动物,真菌和藻类。在疾病类别中,有益的共有因素值是肠炎和胃痛(1.0),然后是消化不良(0.94),便秘(0.93)和腹痛和肠胃不适(0.92)。就保真度而言,71种植物的保真度为100%。疾病与所有药物种类之间的互联网络分析分别以消化不良,腹泻,腹痛和肠胃不适四类进行分组。关于本研究的研究方法,比较分析方法将有助于口头传播的民族医学知识的可用性。在分析方法中,本研究中使用互联网络分析作为分析工具,为胃肠道疾病和药用物种之间提供了必要的互联网络图。

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