[صفحه اصلی ]   [Archive]  
:: صفحه اصلي :: درباره نشريه :: آخرين شماره :: تمام شماره‌ها :: جستجو :: ثبت نام :: ارسال مقاله :: تماس با ما ::
بخش‌های اصلی
صفحه اصلی::
اطلاعات نشریه::
آرشیو مجله و مقالات::
برای نویسندگان::
برای داوران::
ثبت نام و اشتراک::
تماس با ما::
تسهیلات پایگاه::
بایگانی مقالات زیر چاپ::
::
:: دوره 6، شماره 2 - ( 1-1398 ) ::
جلد 6 شماره 2 صفحات 4-1 برگشت به فهرست نسخه ها
Development of New Predictive Equations to Estimate Basal Metabolic Rates in Iranian Adults: A Study Protocol
چکیده:   (3871 مشاهده)
Background and Objectives: Studies indicate over-estimation of basal metabolic rate (BMR) using common equations for the Asian people. The present study aims to develop new predictive equations for the Iranian people and to compare these equations with commonly used formulas.
Materials and Methods: Total, 150healthy subjects aged 18-60 yrare invited to the Laboratory of Nutrition Research, National Nutrition and Food Technology Research Institute. Demographic data are gathered using a questionnaire. Then, anthropometric measures are taken and blood sampling is done for thyroid function tests. If the subject merits all the inclusion criteria, indirect calorimetry will be performed. The value of BMR will be predicted using common equations (Harris-Benedict, FAO/WHO/UNU, Miffilin).
Differences between predicted (using equations) and measured (using indirect calorimetry) values are estimated. Correlations between the two sets of data is performed using Pearson or Spearman coefficients. Between-method agreement is checked using Bland-AltmanPlot. Accuracy of the predicted values using equations isconsidered as the proportion of participants whose calculated BMR is 90-110% of their measured BMR. Multiple regression analysis is employed to develop new predictive equations for the BMR based on the independent variables.
Conclusions: Since facilities for the measurement of BMR may not be accessible in many clinical or research settings, BMR is usually estimated using predictive equations. However, several studies have reported inaccuracy of these equations for certain populations. Therefore, development of new population-specific predictive equations seems reasonable. These equations could hopefully reduce the energy estimation errors both in clinical nutritional interventions and community-based nutrition researches.
متن کامل [PDF 379 kb]   (1314 دریافت)    
نوع مطالعه: Study Protocol | موضوع مقاله: Food Science
دریافت: 1397/10/25 | پذیرش: 1398/5/13 | انتشار: 1398/5/13
ارسال نظر درباره این مقاله
نام کاربری یا پست الکترونیک شما:

CAPTCHA



XML     Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Nikooyeh B, Neyestani T R. Development of New Predictive Equations to Estimate Basal Metabolic Rates in Iranian Adults: A Study Protocol. Nutr Food Sci Res 2019; 6 (2) :1-4
URL: http://nfsr.sbmu.ac.ir/article-1-347-fa.html

Development of New Predictive Equations to Estimate Basal Metabolic Rates in Iranian Adults: A Study Protocol. 1. 1398; 6 (2) :1-4

URL: http://nfsr.sbmu.ac.ir/article-1-347-fa.html



بازنشر اطلاعات
Creative Commons License این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است.
دوره 6، شماره 2 - ( 1-1398 ) برگشت به فهرست نسخه ها
Nutrition and Food Sciences Research
Persian site map - English site map - Created in 0.09 seconds with 37 queries by YEKTAWEB 4645