{"title":"利用传统波斯医学(TPM)中的气质估算基础代谢率(BMR)的新模型","authors":"Mahdi Kafaee, Elahe Daviran, Sonia Heydari, Shahriar Gharibzadeh","doi":"10.1007/s13596-023-00715-0","DOIUrl":null,"url":null,"abstract":"<div><p>The estimation of basal metabolic rate is an important parameter in treating metabolic diseases and prescribing diet regimes. Some equations and analyses have been presented for a reliable estimate of basal metabolic rate. Although these estimates are plausible, they are all subject to errors due to unknown factors. The error reduction of this estimation is under debate. Based on some recent studies, significant similarities have been reported between factors affecting basal metabolic rate in modern medicine and temperament in traditional Persian medicine. Thus, our objective is to propose a new model to increase the accuracy of basal metabolic rate estimation based on temperament in traditional Persian medicine. Based on the available studies about the relationship between basal metabolic rate and temperament, we hypothesize that adding a new factor (warmness/ coldness) to common regression formulas of the basal metabolic rate may reduce the errors. In this article, we propose suggestions to confirm this model.</p></div>","PeriodicalId":7613,"journal":{"name":"Advances in Traditional Medicine","volume":"24 2","pages":"541 - 551"},"PeriodicalIF":1.8000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new model for estimating basal metabolic rate (BMR) using temperament in traditional Persian medicine (TPM)\",\"authors\":\"Mahdi Kafaee, Elahe Daviran, Sonia Heydari, Shahriar Gharibzadeh\",\"doi\":\"10.1007/s13596-023-00715-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The estimation of basal metabolic rate is an important parameter in treating metabolic diseases and prescribing diet regimes. Some equations and analyses have been presented for a reliable estimate of basal metabolic rate. Although these estimates are plausible, they are all subject to errors due to unknown factors. The error reduction of this estimation is under debate. Based on some recent studies, significant similarities have been reported between factors affecting basal metabolic rate in modern medicine and temperament in traditional Persian medicine. Thus, our objective is to propose a new model to increase the accuracy of basal metabolic rate estimation based on temperament in traditional Persian medicine. Based on the available studies about the relationship between basal metabolic rate and temperament, we hypothesize that adding a new factor (warmness/ coldness) to common regression formulas of the basal metabolic rate may reduce the errors. In this article, we propose suggestions to confirm this model.</p></div>\",\"PeriodicalId\":7613,\"journal\":{\"name\":\"Advances in Traditional Medicine\",\"volume\":\"24 2\",\"pages\":\"541 - 551\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Traditional Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s13596-023-00715-0\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Traditional Medicine","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s13596-023-00715-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
A new model for estimating basal metabolic rate (BMR) using temperament in traditional Persian medicine (TPM)
The estimation of basal metabolic rate is an important parameter in treating metabolic diseases and prescribing diet regimes. Some equations and analyses have been presented for a reliable estimate of basal metabolic rate. Although these estimates are plausible, they are all subject to errors due to unknown factors. The error reduction of this estimation is under debate. Based on some recent studies, significant similarities have been reported between factors affecting basal metabolic rate in modern medicine and temperament in traditional Persian medicine. Thus, our objective is to propose a new model to increase the accuracy of basal metabolic rate estimation based on temperament in traditional Persian medicine. Based on the available studies about the relationship between basal metabolic rate and temperament, we hypothesize that adding a new factor (warmness/ coldness) to common regression formulas of the basal metabolic rate may reduce the errors. In this article, we propose suggestions to confirm this model.
期刊介绍:
Advances in Traditional Medicine (ADTM) is an international and peer-reviewed journal and publishes a variety of articles including original researches, reviews, short communications, and case-reports. ADTM aims to bridging the gap between Traditional knowledge and medical advances. The journal focuses on publishing valid, relevant, and rigorous experimental research and clinical applications of Traditidnal Medicine as well as medical classics. At the same time, the journal is devoted to communication among basic researcher and medical clinician interested in the advancement of Traditional Medicine. Topics covered by the journal are: Medical Classics & History; Biomedical Research; Pharmacology & Toxicology of Natural Products; Acupuncture & Moxibustion; Sasang Constitutional Medicine; Diagnostics and Instrumental Development; Clinical Research. ADTM is published four times yearly. The publication date of this journal is 30th March, June, September, and December.