Estimating resting metabolic rate in older Chinese adults:A community-based study integrating dietary predictors

IF 3.6 3区医学 Q2 NUTRITION & DIETETICS

Nutrition Pub Date : 2026-04-01 Epub Date: 2025-12-05 DOI:10.1016/j.nut.2025.113054

Qi Dong , Lu Wu , Jiao Liu , Danye Niu , Li Wang , Ning Li , Yanmin Zheng , Lei Ding , Yating Ma , Bo Wang , Ming Zhou

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引用次数: 0

Abstract

Objectives

Resting metabolic rate (RMR), which accounts for 60% to 75% of total daily energy expenditure, is critical for formulating appropriate nutrition plans and for the prevention of overweight and obesity. The aim of this study was to systematically consider dietary and other factors affecting RMR and propose a predictive equation for the older adults.

Methods

A total of 373 elderly participants aged 60 to 89 years (205 males) were included in this study. RMR was measured using indirect calorimetry (IC). One-on-one measurements and questionnaires were used to collect data on height, weight, waist circumference, physical activity, sleep duration, and food consumption frequency. Multiple linear regression was used to construct models, which were compared with existing equations.

Results

The RMR values of the study participants ranged from 652 to 1635 kcal/d. The average RMR for males and fe-males was 1175.3 ± 167.9 kcal/d and 1001.5 ± 159.7 kcal/d, respectively. Two models were constructed using multiple regression, with variables including sex, weight, fat-free mass (FFM), fat mass (FM), age, and animal offal consumption. The newly established formula demonstrated better accuracy than the other formulas based on comparisons of biases, Lin’s Concordance Correlation Coefficient (CCC), root mean square errors (RMSE), accuracies, and Bland-Altman plots.

Conclusion

This study developed new RMR predictive equations for individuals aged 60 and above. The newly developed equations in-corporates animal offal consumption and demonstrates higher predictive performance compared to other equations.

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估计中国老年人静息代谢率：一项结合饮食预测因子的社区研究

静息代谢率（RMR）占每日总能量消耗的60%至75%，对于制定适当的营养计划和预防超重和肥胖至关重要。本研究的目的是系统地考虑饮食和其他影响RMR的因素，并提出老年人RMR的预测方程。方法本研究共纳入373例60 ~ 89岁的老年人，其中男性205例。RMR采用间接量热法（IC）测定。采用一对一测量和问卷调查收集身高、体重、腰围、体力活动、睡眠时间和食物消耗频率等数据。采用多元线性回归建立模型，并与已有方程进行比较。结果研究参与者的RMR值为652 ~ 1635 kcal/d。雄性和雌性的平均RMR分别为1175.3±167.9 kcal/d和1001.5±159.7 kcal/d。以性别、体重、无脂质量（FFM）、脂肪质量（FM）、年龄和动物内脏食用量为变量，采用多元回归方法构建2个模型。基于偏倚、Lin’s Concordance Correlation Coefficient （CCC）、均方根误差（RMSE）、准确度和Bland-Altman图的比较，新建立的公式比其他公式具有更好的准确性。结论本研究为60岁及以上人群建立了新的RMR预测方程。与其他方程相比，新开发的方程包含了动物内脏消耗，并显示出更高的预测性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nutrition 医学-营养学

CiteScore

7.80

自引率

2.30%

发文量

300

审稿时长

60 days

期刊介绍： Nutrition has an open access mirror journal Nutrition: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review. Founded by Michael M. Meguid in the early 1980''s, Nutrition presents advances in nutrition research and science, informs its readers on new and advancing technologies and data in clinical nutrition practice, encourages the application of outcomes research and meta-analyses to problems in patient-related nutrition; and seeks to help clarify and set the research, policy and practice agenda for nutrition science to enhance human well-being in the years ahead.