在德黑兰成年人中开发新的静息能量消耗预测方程并验证早期的静息能量消耗预测方程。

IF 2.4 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Health Promotion Perspectives Pub Date : 2024-07-29 eCollection Date: 2024-01-01 DOI:10.34172/hpp.42570
Yahya Jalilpiran, Neda Azizi, Kimia Alipoor, Sanaz Mehranfar, Mojdeh Ebaditabar, Sakineh Shab-Bidar, Alireza Ostadrahimi, Kurosh Djafarian
{"title":"在德黑兰成年人中开发新的静息能量消耗预测方程并验证早期的静息能量消耗预测方程。","authors":"Yahya Jalilpiran, Neda Azizi, Kimia Alipoor, Sanaz Mehranfar, Mojdeh Ebaditabar, Sakineh Shab-Bidar, Alireza Ostadrahimi, Kurosh Djafarian","doi":"10.34172/hpp.42570","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Predictive equations have been considered as a practical approach for estimating resting energy expenditure (REE) across multiple populations, but their accuracy for each community remains to be determined. Thus, the purposes of this study were to determine the validity of REE predictive equations and to develop a new REE predictive equation in adults living in Tehran.</p><p><strong>Methods: </strong>The study included 284 subjects (158 females) aged 18-60 years old from two cross-sectional studies conducted in Tehrani populations. Anthropometric measurements were assessed using standard protocols. REE was measured using indirect calorimetry (IC) and was estimated using preexisting equations. A new equation was also developed based on the REE from IC and variables such as age, sex, height, and weight. Measured REE was compared to new equation and preexisting predictive equations via correlation, linear regression, and Bland-Altman tests.</p><p><strong>Results: </strong>The new equation and the equations by Mifflin-St. Jeor, Livingston, Frankenfield, Nichols, Müller, and Ganpule demonstrated the best predictive value at a group level (mean percentage error=-2.2 to 2.4 %). At an individual level, the new equation and the equations by Mara, Frankenfield, Roza, Nikooyeh, and Harris & Benedict showed the greatest accuracies compared to measured REE (accuracy prediction=50-53%).</p><p><strong>Conclusion: </strong>This study highlights the importance of considering race when predicting REE. It also demonstrates that the newly developed equation is more appropriate in a clinical setting at group but not individual level. Thus, further research is needed to examine the new equation in an independent sample.</p>","PeriodicalId":46588,"journal":{"name":"Health Promotion Perspectives","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11403341/pdf/","citationCount":"0","resultStr":"{\"title\":\"Development of a new equation and validation of earlier resting energy expenditure predicting equations in adults living in Tehran.\",\"authors\":\"Yahya Jalilpiran, Neda Azizi, Kimia Alipoor, Sanaz Mehranfar, Mojdeh Ebaditabar, Sakineh Shab-Bidar, Alireza Ostadrahimi, Kurosh Djafarian\",\"doi\":\"10.34172/hpp.42570\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Predictive equations have been considered as a practical approach for estimating resting energy expenditure (REE) across multiple populations, but their accuracy for each community remains to be determined. Thus, the purposes of this study were to determine the validity of REE predictive equations and to develop a new REE predictive equation in adults living in Tehran.</p><p><strong>Methods: </strong>The study included 284 subjects (158 females) aged 18-60 years old from two cross-sectional studies conducted in Tehrani populations. Anthropometric measurements were assessed using standard protocols. REE was measured using indirect calorimetry (IC) and was estimated using preexisting equations. A new equation was also developed based on the REE from IC and variables such as age, sex, height, and weight. Measured REE was compared to new equation and preexisting predictive equations via correlation, linear regression, and Bland-Altman tests.</p><p><strong>Results: </strong>The new equation and the equations by Mifflin-St. Jeor, Livingston, Frankenfield, Nichols, Müller, and Ganpule demonstrated the best predictive value at a group level (mean percentage error=-2.2 to 2.4 %). At an individual level, the new equation and the equations by Mara, Frankenfield, Roza, Nikooyeh, and Harris & Benedict showed the greatest accuracies compared to measured REE (accuracy prediction=50-53%).</p><p><strong>Conclusion: </strong>This study highlights the importance of considering race when predicting REE. It also demonstrates that the newly developed equation is more appropriate in a clinical setting at group but not individual level. Thus, further research is needed to examine the new equation in an independent sample.</p>\",\"PeriodicalId\":46588,\"journal\":{\"name\":\"Health Promotion Perspectives\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11403341/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health Promotion Perspectives\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.34172/hpp.42570\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Promotion Perspectives","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34172/hpp.42570","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

摘要

背景:预测方程被认为是估算多种人群静息能量消耗(REE)的实用方法,但其对每个社区的准确性仍有待确定。因此,本研究旨在确定静息能量消耗预测方程的有效性,并在德黑兰成年人中开发一种新的静息能量消耗预测方程:研究对象包括在德黑兰人群中进行的两项横断面研究中的 284 名受试者(158 名女性),年龄在 18-60 岁之间。人体测量采用标准方案进行评估。使用间接热量计(IC)测量 REE,并使用现有公式进行估算。此外,还根据间接热量计得出的 REE 值以及年龄、性别、身高和体重等变量建立了一个新方程。通过相关性、线性回归和 Bland-Altman 检验,将测得的 REE 与新方程和已有的预测方程进行了比较:结果:新方程和 Mifflin-St.Jeor、Livingston、Frankenfield、Nichols、Müller 和 Ganpule 的方程在群体水平上显示出最佳预测价值(平均百分比误差=-2.2% 至 2.4%)。在个人层面上,新方程和马拉、弗兰肯菲尔德、罗扎、尼库耶以及哈里斯和本尼迪克特的方程与测量的 REE 相比显示出最大的准确性(预测准确率=50-53%):本研究强调了在预测 REE 时考虑种族因素的重要性。结论:本研究强调了在预测 REE 时考虑种族因素的重要性,同时也表明新开发的公式更适合临床环境中的群体而非个体水平。因此,还需要进一步研究,在独立样本中检验新方程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a new equation and validation of earlier resting energy expenditure predicting equations in adults living in Tehran.

Background: Predictive equations have been considered as a practical approach for estimating resting energy expenditure (REE) across multiple populations, but their accuracy for each community remains to be determined. Thus, the purposes of this study were to determine the validity of REE predictive equations and to develop a new REE predictive equation in adults living in Tehran.

Methods: The study included 284 subjects (158 females) aged 18-60 years old from two cross-sectional studies conducted in Tehrani populations. Anthropometric measurements were assessed using standard protocols. REE was measured using indirect calorimetry (IC) and was estimated using preexisting equations. A new equation was also developed based on the REE from IC and variables such as age, sex, height, and weight. Measured REE was compared to new equation and preexisting predictive equations via correlation, linear regression, and Bland-Altman tests.

Results: The new equation and the equations by Mifflin-St. Jeor, Livingston, Frankenfield, Nichols, Müller, and Ganpule demonstrated the best predictive value at a group level (mean percentage error=-2.2 to 2.4 %). At an individual level, the new equation and the equations by Mara, Frankenfield, Roza, Nikooyeh, and Harris & Benedict showed the greatest accuracies compared to measured REE (accuracy prediction=50-53%).

Conclusion: This study highlights the importance of considering race when predicting REE. It also demonstrates that the newly developed equation is more appropriate in a clinical setting at group but not individual level. Thus, further research is needed to examine the new equation in an independent sample.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Health Promotion Perspectives
Health Promotion Perspectives PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
7.10
自引率
2.30%
发文量
27
审稿时长
13 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信