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Quantification of the effect of energy imbalance on bodyweight

Summary Obesity interventions can result in weight loss, but accurate prediction of the bodyweight time course requires properly accounting for dynamic energy imbalances. In this report, we describe a mathematical modelling approach to adult human metabolism that simulates energy expenditure adaptat... Full description

Journal Title: The Lancet (British edition) 2011, Vol.378 (9793), p.826-837
Main Author: Hall, Kevin D, Dr
Other Authors: Sacks, Gary, PhD , Chandramohan, Dhruva, BSc , Chow, Carson C, PhD , Wang, Y Claire, MD , Gortmaker, Steven L, PhD , Swinburn, Boyd A, MD
Format: Electronic Article Electronic Article
Language: English
Subjects:
Quelle: Alma/SFX Local Collection
Publisher: Kidlington: Elsevier Ltd
ID: ISSN: 0140-6736
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recordid: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3880593
title: Quantification of the effect of energy imbalance on bodyweight
format: Article
creator:
  • Hall, Kevin D, Dr
  • Sacks, Gary, PhD
  • Chandramohan, Dhruva, BSc
  • Chow, Carson C, PhD
  • Wang, Y Claire, MD
  • Gortmaker, Steven L, PhD
  • Swinburn, Boyd A, MD
subjects:
  • Abridged Index Medicus
  • Adipose Tissue - metabolism
  • Adult
  • Article
  • Biological and medical sciences
  • Body weight
  • Complications and side effects
  • Diagnosis
  • Energy Intake
  • Energy Metabolism
  • General aspects
  • Humans
  • Internal Medicine
  • Medical sciences
  • Models, Biological
  • Obesity
  • Obesity - metabolism
  • Obesity - therapy
  • Weight Loss
ispartof: The Lancet (British edition), 2011, Vol.378 (9793), p.826-837
description: Summary Obesity interventions can result in weight loss, but accurate prediction of the bodyweight time course requires properly accounting for dynamic energy imbalances. In this report, we describe a mathematical modelling approach to adult human metabolism that simulates energy expenditure adaptations during weight loss. We also present a web-based simulator for prediction of weight change dynamics. We show that the bodyweight response to a change of energy intake is slow, with half times of about 1 year. Furthermore, adults with greater adiposity have a larger expected weight loss for the same change of energy intake, and to reach their steady-state weight will take longer than it would for those with less initial body fat. Using a population-averaged model, we calculated the energy-balance dynamics corresponding to the development of the US adult obesity epidemic. A small persistent average daily energy imbalance gap between intake and expenditure of about 30 kJ per day underlies the observed average weight gain. However, energy intake must have risen to keep pace with increased expenditure associated with increased weight. The average increase of energy intake needed to sustain the increased weight (the maintenance energy gap) has amounted to about 0·9 MJ per day and quantifies the public health challenge to reverse the obesity epidemic.
language: eng
source: Alma/SFX Local Collection
identifier: ISSN: 0140-6736
fulltext: fulltext
issn:
  • 0140-6736
  • 1474-547X
url: Link


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descriptionSummary Obesity interventions can result in weight loss, but accurate prediction of the bodyweight time course requires properly accounting for dynamic energy imbalances. In this report, we describe a mathematical modelling approach to adult human metabolism that simulates energy expenditure adaptations during weight loss. We also present a web-based simulator for prediction of weight change dynamics. We show that the bodyweight response to a change of energy intake is slow, with half times of about 1 year. Furthermore, adults with greater adiposity have a larger expected weight loss for the same change of energy intake, and to reach their steady-state weight will take longer than it would for those with less initial body fat. Using a population-averaged model, we calculated the energy-balance dynamics corresponding to the development of the US adult obesity epidemic. A small persistent average daily energy imbalance gap between intake and expenditure of about 30 kJ per day underlies the observed average weight gain. However, energy intake must have risen to keep pace with increased expenditure associated with increased weight. The average increase of energy intake needed to sustain the increased weight (the maintenance energy gap) has amounted to about 0·9 MJ per day and quantifies the public health challenge to reverse the obesity epidemic.
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subjectAbridged Index Medicus ; Adipose Tissue - metabolism ; Adult ; Article ; Biological and medical sciences ; Body weight ; Complications and side effects ; Diagnosis ; Energy Intake ; Energy Metabolism ; General aspects ; Humans ; Internal Medicine ; Medical sciences ; Models, Biological ; Obesity ; Obesity - metabolism ; Obesity - therapy ; Weight Loss
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abstractSummary Obesity interventions can result in weight loss, but accurate prediction of the bodyweight time course requires properly accounting for dynamic energy imbalances. In this report, we describe a mathematical modelling approach to adult human metabolism that simulates energy expenditure adaptations during weight loss. We also present a web-based simulator for prediction of weight change dynamics. We show that the bodyweight response to a change of energy intake is slow, with half times of about 1 year. Furthermore, adults with greater adiposity have a larger expected weight loss for the same change of energy intake, and to reach their steady-state weight will take longer than it would for those with less initial body fat. Using a population-averaged model, we calculated the energy-balance dynamics corresponding to the development of the US adult obesity epidemic. A small persistent average daily energy imbalance gap between intake and expenditure of about 30 kJ per day underlies the observed average weight gain. However, energy intake must have risen to keep pace with increased expenditure associated with increased weight. The average increase of energy intake needed to sustain the increased weight (the maintenance energy gap) has amounted to about 0·9 MJ per day and quantifies the public health challenge to reverse the obesity epidemic.
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