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健康超重和肥胖儿童和青少年静息能量消耗预测方程的系统评价和定量分析。

A systematic review and quantitative analysis of resting energy expenditure prediction equations in healthy overweight and obese children and adolescents.

机构信息

School of Life and Medical Sciences, University of Hertfordshire, Hatfield, UK.

Faculty of Science, Engineering and Computing, School of Life Sciences, Pharmacy & Chemistry, University of Kingston, Kingston Upon Thames, UK.

出版信息

J Hum Nutr Diet. 2020 Jun;33(3):373-385. doi: 10.1111/jhn.12735. Epub 2020 Feb 19.

Abstract

BACKGROUND

Resting energy expenditure (REE) estimates are often needed in young people and can be predicted using prediction equations based on body weight. However, these equations may perform poorly in those who are obese and overweight. The aim of this systematic review was to identify equations based on simple anthropometric and demographic variables that provide the most accurate and precise estimates of REE in healthy obese and overweight young people.

METHODS

Systematic searches for relevant studies in healthy obese and overweight young people aged ≤18 years were undertaken using PubMed, Scopus, Cinahl, OpenGrey and Cochrane Library (completed January 2018). Search terms included metabolism, calorimetry, obesity and prediction equation. Data extraction, study appraisal and synthesis followed PRISMA guidelines.

RESULTS

From 390 screened titles, 13 studies met inclusion criteria. The most accurate REE predictions (least biased) were provided by Schofield equations [+0.8% (3-18 years); 0% (11-18 years); +1.1% (3-10 years)]. The most precise REE estimations (percentage of predictions ± 10% of measured) for 11-18 years were provided by Mifflin equations (62%) and, for 7-18 years, by the equations of Schmelzle (57%), Henry (56%) and Harris Benedict (54%). Precision of Schofield predictions was 43% in both age groups. No accuracy data were available for those <3 years or for precision for those <7 years.

CONCLUSIONS

No single equation provided accurate and precise REE estimations in this population. Schofield equations provided the most accurate REE predictions so are useful for groups. Mifflin equations provided the most precise estimates for individuals aged 11-18 years but tended to underestimate REE.

摘要

背景

静息能量消耗(REE)的估计值在年轻人中经常需要,并且可以使用基于体重的预测方程进行预测。然而,这些方程在肥胖和超重人群中表现不佳。本系统评价的目的是确定基于简单人体测量和人口统计学变量的方程,这些方程可以为健康肥胖和超重的年轻人提供最准确和最精确的 REE 估计值。

方法

使用 PubMed、Scopus、Cinahl、OpenGrey 和 Cochrane Library(2018 年 1 月完成)对健康肥胖和超重的年轻人群(≤18 岁)进行了相关研究的系统检索。检索词包括代谢、热量测定、肥胖和预测方程。遵循 PRISMA 指南进行数据提取、研究评估和综合分析。

结果

从 390 篇筛选出的标题中,有 13 项研究符合纳入标准。Schofield 方程提供了最准确的 REE 预测(偏差最小)[+0.8%(3-18 岁);0%(11-18 岁);+1.1%(3-10 岁)]。Mifflin 方程对 11-18 岁人群提供了最精确的 REE 估计值(预测值与实测值的±10%)(62%),而对于 7-18 岁人群,Schmelzle、Henry 和 Harris Benedict 方程分别为(57%)、(56%)和(54%)。Schofield 预测的精度在两个年龄组中均为 43%。对于<3 岁或<7 岁的人群,没有准确性数据。

结论

在该人群中,没有单一的方程能够提供准确和精确的 REE 估计值。Schofield 方程提供了最准确的 REE 预测,因此对群体有用。Mifflin 方程为 11-18 岁个体提供了最精确的估计值,但往往低估了 REE。

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