健康新加坡人的静息代谢率:Harris-Benedict方程的性能和一个新的预测模型

IF 0.4 Q3 MEDICINE, GENERAL & INTERNAL Proceedings of Singapore Healthcare Pub Date : 2023-02-11 DOI:10.1177/20101058231156628
Natalie Tan, K. Tham, Chun Keong Eric Ho, C. Ng
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引用次数: 0

摘要

静息代谢率(RMR)预测方程在管理患者体重方面是有价值的;然而,对于新加坡人来说,没有准确的公式。以间接量热法为参考方法,建立并交叉验证新加坡人RMR预测回归方程。104名健康新加坡人(34.3±12.2岁)参与研究,其中男性34人,女性70人。从参与者那里获得了人体测量数据和人口统计信息。RMR采用间接量热法(TrueOne 2400系统)测量。采用逐步回归分析建立了最简洁的预测方程。使用普通最小积(OLP)回归和Bland-Altman分析对方程的性能进行评估,同时使用预测残差平方和(PRESS)方法进行内部交叉验证。为了将新方程与现有方程进行比较,还对Harris-Benedict方程的性能进行了评价。最佳预测方程为RMR(kcal) = 918 + 16.5(体重)-135.7(性别)- 1152(腰高比)+0.014(国际体育活动问卷得分),其中性别= 1(女性)或0(男性)。OLP回归显示新方程没有系统偏差。Bland-Altman分析显示其总(系统和随机)误差为212千卡。使用PRESS方法的内部模型验证显示预测准确性的最小降低。相比之下,OLP回归显示出哈里斯-本尼迪克特方程(y-截距= - 280 kcal;95%CI,−100 ~−461 kcal)。我们的新方程在准确预测新加坡人的RMR方面优于哈里斯-本尼迪克特方程。包括容易获得的人体测量和自我报告的测量,我们设想其在临床和流行病学设置的潜在相关性。
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Resting metabolic rate in healthy Singaporeans: Performance of the Harris-Benedict equation and a new predictive model
Prediction equations for resting metabolic rate (RMR) are valuable in managing patients’ weight; however, no accurate equation exists for Singaporeans. To develop and cross-validate a predictive regression equation for RMR in Singaporeans, using indirect calorimetry as the reference method. 104 healthy Singaporeans (34.3 ± 12.2 years) participated, comprising 34 men and 70 women. Anthropometric measurements and demographics information were obtained from participants. RMR was measured via indirect calorimetry (TrueOne 2400 system). Stepwise regression analysis was used to develop the most parsimonious predictive equation. Performance of the equation was evaluated using ordinary least products (OLP) regression and Bland–Altman analysis, whilst internal cross-validation was performed by use of the predicted residual sum of squares (PRESS) method. To compare the new equation with existing ones, the performance of the Harris-Benedict equation was also evaluated. The best predictive equation takes the form RMR(kcal) = 918 + 16.5(weight)-135.7(gender) - 1152(Waist-to-height-ratio) +0.014(International Physical Activity Questionnaire Score), where gender = 1 (female) or 0 (male). OLP regression revealed no systematic bias for the new equation. Bland–Altman analysis showed that its total (systematic and random) error was 212 kcal. Internal model validation using the PRESS method revealed minimal reduction in predictive accuracy. In contrast, OLP regression showed a significant pattern of over-prediction by the Harris-Benedict equation (y-intercept = −280 kcal; 95%CI, −100 to −461 kcal). Our new equation outperformed the Harris-Benedict equation in accurately predicting RMR in Singaporeans. Comprising easily obtained anthropometric and self-reported measures, we envisage its potential relevance in clinical and epidemiological settings.
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来源期刊
Proceedings of Singapore Healthcare
Proceedings of Singapore Healthcare MEDICINE, GENERAL & INTERNAL-
CiteScore
0.90
自引率
0.00%
发文量
42
审稿时长
15 weeks
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