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代谢适应性随不同预测方程而波动:基于一项减肥临床试验的二次分析。

Metabolic adaptation fluctuates with different prediction equations: a secondary analysis based on a weight-loss clinical trial.

作者信息

Tang Molian, Wang Jialu, Xiang Yi, Xu Renying

机构信息

Department of Clinical Nutrition, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Department of Nutrition, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

出版信息

Front Nutr. 2025 Aug 29;12:1543263. doi: 10.3389/fnut.2025.1543263. eCollection 2025.

Abstract

OBJECTIVE

Metabolic adaption (MA) might be of clinical relevance in weight loss management. However, it is unclear whether resting metabolic rate (RMR) reduction in weight loss reflects true MA or fat free mass (FFM) loss.

METHODS

We re-analyzed the data based on a weight loss trial of 131 patients (aged 33.3 ± 6.7 years) with overweight/obesity. Anthropometric data, body composition, daily physical activity, sleep hour and dietary intake were collected for every 4 weeks (baseline, week 4, 8, 12, and 16). The linear mixed model was used to evaluate the absolute change in RMR and adjusted RMR [aRMR = RMR (kcal) divided by FFM (kg)] with two different equations (Katch-McArdle-determined vs. BIA-determined) for every 4 weeks after adjustment of age, sex, daily physical activity, sleep hours, dietary intake, and baseline FFM and fat mass (FM).

RESULTS

Following the 16-week intervention, a significant reduction was observed in body weight [β: -5.6 kg; 95% Confidence Interval (CI): -6.3 kg, -5.0 kg], BMI (β: -2.3 kg/m; 95%CI: -2.5 kg/m, -2.0 kg/m), FM (β: -4.7 kg; 95%CI: -5.2 kg, -4.1 kg), and FFM (β: -0.9 kg; 95%CI: -1.2 kg, -0.7 kg). Both Katch-McArdle-determined RMR and BIA-determined RMR presented a significant decrease between baseline and the end of the intervention (week 16). A small but statistically significant increase in Katch-McArdle-determined aRMR (β: 0.19 kcal/kg; 95%CI: 0.14 kcal/kg, 0.23 kcal/kg; adjusted -value <0.0001) was confirmed by linear mixed models. While BIA-determined aRMR generally showed decreasing trends across the follow-up periods, only Week 12 demonstrated a statistically significant inverse association compared with the baseline (β: -0.21 kcal/kg; 95% CI: -0.29 kcal/kg, -0.13 kcal/kg, adjusted -value = 0.01).

CONCLUSION

The use of different prediction equations might account for variations in MA in this study. The results highlight the importance of preserving FFM during weight loss, thus to prevent reductions in RMR.

摘要

目的

代谢适应(MA)可能在体重减轻管理中具有临床意义。然而,尚不清楚体重减轻过程中静息代谢率(RMR)的降低是反映了真正的MA还是去脂体重(FFM)的减少。

方法

我们基于一项针对131名超重/肥胖患者(年龄33.3±6.7岁)的体重减轻试验重新分析了数据。每4周(基线、第4周、第8周、第12周和第16周)收集人体测量数据、身体成分、日常身体活动、睡眠时间和饮食摄入量。在调整年龄、性别、日常身体活动、睡眠时间、饮食摄入量以及基线FFM和脂肪量(FM)后,使用线性混合模型评估RMR的绝对变化和调整后的RMR [aRMR = RMR(千卡)除以FFM(千克)],并采用两种不同的公式(Katch-McArdle法与生物电阻抗分析法)进行评估。

结果

经过16周的干预,体重[β:-5.6千克;95%置信区间(CI):-6.3千克,-5.0千克]、体重指数(BMI)[β:-2.3千克/米²;95%CI:-2.5千克/米²,-2.0千克/米²]、FM[β:-4.7千克;95%CI:-5.2千克,-4.1千克]和FFM[β:-0.9千克;95%CI:-1.2千克,-0.7千克]均显著降低。Katch-McArdle法测定的RMR和生物电阻抗分析法测定的RMR在基线和干预结束时(第16周)均显著下降。线性混合模型证实,Katch-McArdle法测定的aRMR有小幅但具有统计学意义的增加(β:0.19千卡/千克;95%CI:0.14千卡/千克,0.23千卡/千克;调整后P值<0.0001)。虽然生物电阻抗分析法测定的aRMR在整个随访期间总体呈下降趋势,但只有第12周与基线相比显示出统计学意义的负相关(β:-0.21千卡/千克;95%CI:-0.29千卡/千克,-0.13千卡/千克,调整后P值 = 0.01)。

结论

在本研究中,使用不同的预测公式可能导致MA的差异。结果强调了在体重减轻过程中保持FFM以防止RMR降低的重要性。

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