探究《阿育吠陀经》(Charaka Samhita)中的梦境及其对各种情况下前驱梦境的内容分析

IF 4.4 2区 化学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
A. K. Iyer, W. Upadhyaya
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引用次数: 0

摘要

导言:对梦的研究表明,令人痛苦的梦的频率增加、特定内容主题(使用霍尔-范-德-卡塞尔系统分析)与神经系统疾病和痴呆症的发病率增加之间存在关联。在西方世界,通过梦境内容预测疾病的历史可以追溯到古希腊医学。这引发了人们对东方世界古代医疗实践中是否存在此类做法的好奇。阿育吠陀就是印度次大陆的传统医学体系之一。Charaka Samhita 是最古老的阿育吠陀经文之一,共有 8 节 120 章。本综述选取了这本经书,探究的问题包括:阿育吠陀对与疾病相关的梦境有何论述?这些梦的内容是什么?此外,梦的内容分析是使用霍尔-范-德-卡塞尔(Hall Van de Castle)系统进行的,这可能是首次对阿育吠陀经文的内容进行分析。目标1)探讨《查拉卡-萨米塔》是否提到了与疾病、疾病阶段及其预后有关的梦。2)分析疾病前驱阶段的梦境内容。方法1-逐章扫描《查拉卡-萨米塔》文本,以回答以下问题--a)梦的类型有哪些? b)是否有与疾病相关的梦? c)疾病前驱阶段是否有梦境被提及? d)这些梦意味着什么?2- 根据霍尔-范-德-卡塞尔系统的分类,对前驱期梦的内容进行了分析。结果根据《查拉卡-萨米塔》,梦的类型有:i) 基于所见的梦 ii) 所闻的梦 iii) 反思的梦 iv) 期望的梦 v) 想象的梦 vi) 预言型的梦和 vii) 由疾病引起的梦。前驱阶段的特定梦境预示着特定疾病(轻微或致命)的表现。梦的内容多种多样(18 个主题),从动物到神灵和恶魔,除了过去的元素外,其余的一般类别都至少出现过一次。结论与古希腊医学类似,阿育吠陀也有根据梦境内容预测疾病的做法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploration of dreams in Charaka Samhita – an Ayurveda text and their content analysis of prodromal dreams in various conditions
Introduction

Research into dreams, have shown the association between increased frequency of distressing dreams, specific content themes (analysed using the Hall Van de Castle system) and greater incidence of progression of neurological conditions and dementia. The history of predicting illnesses by the content of dreams, in the western world is popularly traced backed to the ancient Greek medicine. This stimulates the curiosity if any such practices existed in the ancient medical practises of the eastern world. Ayurveda is one such traditional system of medicine, that is native to the Indian subcontinent. Charaka Samhita is one of the oldest texts on Ayurveda consisting of 8 sections and 120 chapters totally. This text was selected for the purpose of this review, with the line of enquiry such as what does Ayurveda say about dreams associated with illnesses? What are the contents of such dreams? Furthermore, the dream content analysis was done using the Hall Van de Castle system, which is probably the first time being done on an Ayurveda text content.

Objectives

1) To explore if, Charaka Samhita mentions, describes dreams in relation to illnesses, stages of illnesses and their prognosis. 2) To analyse content of the dreams seen in prodromal stage of illnesses.

Methods

1-The Charaka Samhita text was scanned chapter by chapter, to answer the questions- a) What are the types of dreams? b) Are any associated with illnesses? c)Are any dreams mentioned in the prodromal stage of illnesses? d)What do they imply? e)What are their contents? 2- The contents of prodromal dreams were analysed against the categories of Hall Van de Castle system.

Results

As per Charaka Samhita, the types of dreams are, i) those based on what was seen ii) heard iii) reflected upon iv) desired v) imagined vi) those of prophetic type and vii) those caused by illnesses. Specific dreams in the prodromal stage, predict manifestation of specific illnesses (mild or fatal). In the diverse dream contents (18 themes mentioned) ranging from things animals to gods and demons, except the elements of the past, rest of the general categories occur, at least once. The categories characters, objects, activities and social interactions were more common than the rest.

Conclusions

Thus akin to the ancient Greek medicine, Ayurveda too had the practice of predicting illnesses based on the dream contents.

Disclosure of Interest

None Declared

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来源期刊
CiteScore
7.20
自引率
6.00%
发文量
810
期刊介绍: ACS Applied Polymer Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics, and biology relevant to applications of polymers. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates fundamental knowledge in the areas of materials, engineering, physics, bioscience, polymer science and chemistry into important polymer applications. The journal is specifically interested in work that addresses relationships among structure, processing, morphology, chemistry, properties, and function as well as work that provide insights into mechanisms critical to the performance of the polymer for applications.
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