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The Universal Eating Monitor (UEM): objective assessment of food intake behavior in the laboratory setting.通用进食监测仪(UEM):在实验室环境中对食物摄入行为进行客观评估。
Int J Obes (Lond). 2022 Jun;46(6):1114-1121. doi: 10.1038/s41366-022-01089-0. Epub 2022 Mar 1.
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A Systematic Review of Technology-Driven Methodologies for Estimation of Energy Intake.技术驱动的能量摄入估算方法的系统评价
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Smartloss: A Personalized Mobile Health Intervention for Weight Management and Health Promotion.智减:个性化移动健康干预在体重管理和健康促进中的应用
JMIR Mhealth Uhealth. 2016 Mar 16;4(1):e18. doi: 10.2196/mhealth.5027.
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Increased sensitivity to food cues in the fasted state and decreased inhibitory control in the satiated state in the overweight.超重者在禁食状态下对食物线索更加敏感,在饱腹状态下抑制控制能力下降。
Am J Clin Nutr. 2013 Mar;97(3):471-9. doi: 10.3945/ajcn.112.044024. Epub 2013 Jan 30.
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Stress-induced laboratory eating behavior in obese women with binge eating disorder.应激诱导的暴食障碍肥胖女性的实验室进食行为。
Appetite. 2012 Apr;58(2):457-61. doi: 10.1016/j.appet.2011.12.007. Epub 2011 Dec 16.
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Effect of eating rate on binge size in Bulimia Nervosa.进食速度对神经性贪食症中暴饮暴食量的影响。
Physiol Behav. 2008 Feb 27;93(3):481-5. doi: 10.1016/j.physbeh.2007.10.007. Epub 2007 Oct 12.
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Slower eating rate reduces the food intake of men, but not women: implications for behavioral weight control.进食速度减慢会减少男性的食物摄入量,但对女性则不然:对行为体重控制的启示。
Behav Res Ther. 2007 Oct;45(10):2349-59. doi: 10.1016/j.brat.2007.03.016. Epub 2007 Apr 5.
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Laboratory eating behavior in obesity.肥胖症中的实验室进食行为。
Appetite. 2007 Sep;49(2):399-404. doi: 10.1016/j.appet.2006.11.010. Epub 2007 Feb 27.
7
Gut hormones and the regulation of energy homeostasis.肠道激素与能量平衡的调节
Nature. 2006 Dec 14;444(7121):854-9. doi: 10.1038/nature05484.
8
The rats rate of drinking as a function of water deprivation.大鼠的饮水速率作为缺水程度的函数。
J Comp Physiol Psychol. 1952 Feb;45(1):96-102. doi: 10.1037/h0062150.
9
Microstructural analyses of human ingestive patterns: from description to mechanistic hypotheses.
Neurosci Biobehav Rev. 2000 Mar;24(2):261-8. doi: 10.1016/s0149-7634(99)00079-2.
10
Eating behavior in humans, characterized by cumulative food intake curves--a review.以累积食物摄入量曲线为特征的人类饮食行为——综述
Neurosci Biobehav Rev. 2000 Mar;24(2):239-48. doi: 10.1016/s0149-7634(99)00077-9.

一种描述进食速率和累积摄入量曲线的全新通用动态模型。

A new universal dynamic model to describe eating rate and cumulative intake curves.

作者信息

Thomas Diana M, Paynter Jonathan, Peterson Courtney M, Heymsfield Steven B, Nduati Ann, Apolzan John W, Martin Corby K

机构信息

US Military Academy, West Point, NY;

US Military Academy, West Point, NY.

出版信息

Am J Clin Nutr. 2017 Feb;105(2):323-331. doi: 10.3945/ajcn.115.127811. Epub 2017 Jan 11.

DOI:10.3945/ajcn.115.127811
PMID:28077377
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5267295/
Abstract

BACKGROUND

Attempts to model cumulative intake curves with quadratic functions have not simultaneously taken gustatory stimulation, satiation, and maximal food intake into account.

OBJECTIVE

Our aim was to develop a dynamic model for cumulative intake curves that captures gustatory stimulation, satiation, and maximal food intake.

DESIGN

We developed a first-principles model describing cumulative intake that universally describes gustatory stimulation, satiation, and maximal food intake using 3 key parameters: 1) the initial eating rate, 2) the effective duration of eating, and 3) the maximal food intake. These model parameters were estimated in a study (n = 49) where eating rates were deliberately changed. Baseline data was used to determine the quality of model's fit to data compared with the quadratic model. The 3 parameters were also calculated in a second study consisting of restrained and unrestrained eaters. Finally, we calculated when the gustatory stimulation phase is short or absent.

RESULTS

The mean sum squared error for the first-principles model was 337.1 ± 240.4 compared with 581.6 ± 563.5 for the quadratic model, or a 43% improvement in fit. Individual comparison demonstrated lower errors for 94% of the subjects. Both sex (P = 0.002) and eating duration (P = 0.002) were associated with the initial eating rate (adjusted R = 0.23). Sex was also associated (P = 0.03 and P = 0.012) with the effective eating duration and maximum food intake (adjusted R = 0.06 and 0.11). In participants directed to eat as much as they could compared with as much as they felt comfortable with, the maximal intake parameter was approximately double the amount. The model found that certain parameter regions resulted in both stimulation and satiation phases, whereas others only produced a satiation phase.

CONCLUSIONS

The first-principles model better quantifies interindividual differences in food intake, shows how aspects of food intake differ across subpopulations, and can be applied to determine how eating behavior factors influence total food intake.

摘要

背景

用二次函数对累积摄入量曲线进行建模的尝试尚未同时考虑味觉刺激、饱腹感和最大食物摄入量。

目的

我们的目标是开发一种用于累积摄入量曲线的动态模型,该模型能够捕捉味觉刺激、饱腹感和最大食物摄入量。

设计

我们开发了一个基于第一原理的模型来描述累积摄入量,该模型使用3个关键参数普遍描述味觉刺激、饱腹感和最大食物摄入量:1)初始进食速率,2)有效进食持续时间,3)最大食物摄入量。在一项研究(n = 49)中对这些模型参数进行了估计,在该研究中进食速率被有意改变。与二次模型相比,基线数据用于确定模型对数据的拟合质量。在第二项由节制饮食者和非节制饮食者组成的研究中也计算了这3个参数。最后,我们计算了味觉刺激阶段较短或不存在的情况。

结果

与二次模型的平均平方和误差581.6±563.5相比,基于第一原理的模型的平均平方和误差为337.1±240.4,拟合度提高了43%。个体比较显示94%的受试者误差更低。性别(P = 0.002)和进食持续时间(P = 0.002)均与初始进食速率相关(调整后R = 0.23)。性别也与有效进食持续时间和最大食物摄入量相关(P = 0.03和P = 0.012)(调整后R = 0.06和0.11)。与按舒适量进食的参与者相比,被要求尽可能多吃的参与者的最大摄入量参数约为其两倍。该模型发现,某些参数区域会导致刺激阶段和饱腹感阶段,而其他区域仅产生饱腹感阶段。

结论

基于第一原理的模型能更好地量化个体间食物摄入量的差异,显示不同亚人群食物摄入量的差异,并可用于确定饮食行为因素如何影响总食物摄入量。