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Effect of dietary adherence on the body weight plateau: a mathematical model incorporating intermittent compliance with energy intake prescription.

Identifieur interne : 001D74 ( PubMed/Curation ); précédent : 001D73; suivant : 001D75

Effect of dietary adherence on the body weight plateau: a mathematical model incorporating intermittent compliance with energy intake prescription.

Auteurs : Diana M. Thomas ; Corby K. Martin ; Leanne M. Redman ; Steven B. Heymsfield ; Steven Lettieri ; James A. Levine ; Claude Bouchard ; Dale A. Schoeller

Source :

The American journal of clinical nutrition [ 1938-3207 ] ; 2014.

RBID : pubmed:25080458

Descripteurs français

KwdFr :
- Adulte, Canada, Enquêtes nutritionnelles, Femelle, Humains, Hyperphagie (), Hyperphagie (métabolisme), Logiciel, Modèles biologiques, Mâle, Métabolisme énergétique, Observance thérapeutique, Obésité (), Obésité (diétothérapie), Obésité (métabolisme), Perte de poids, Prise de poids, Ration calorique, Restriction calorique (effets indésirables), Récidive, Régime amaigrissant, Surpoids (), Surpoids (diétothérapie), Surpoids (métabolisme), États-Unis d'Amérique, Études de cohortes.
MESH :
- diétothérapie : Obésité, Surpoids.
- effets indésirables : Restriction calorique.
- métabolisme : Hyperphagie, Obésité, Surpoids.
- Adulte, Canada, Enquêtes nutritionnelles, Femelle, Humains, Hyperphagie, Logiciel, Modèles biologiques, Mâle, Métabolisme énergétique, Observance thérapeutique, Obésité, Perte de poids, Prise de poids, Ration calorique, Récidive, Régime amaigrissant, Surpoids, États-Unis d'Amérique, Études de cohortes.
Wicri :
- geographic : Canada, États-Unis.

English descriptors

KwdEn :
- Adult, Caloric Restriction (adverse effects), Canada, Cohort Studies, Diet, Reducing, Energy Intake, Energy Metabolism, Female, Humans, Hyperphagia (metabolism), Hyperphagia (prevention & control), Male, Models, Biological, Nutrition Surveys, Obesity (diet therapy), Obesity (metabolism), Obesity (prevention & control), Overweight (diet therapy), Overweight (metabolism), Overweight (prevention & control), Patient Compliance, Recurrence, Software, United States, Weight Gain, Weight Loss.
MESH :
- geographic : Canada, United States.
- adverse effects : Caloric Restriction.
- diet therapy : Obesity, Overweight.
- metabolism : Hyperphagia, Obesity, Overweight.
- prevention & control : Hyperphagia, Obesity, Overweight.
- Adult, Cohort Studies, Diet, Reducing, Energy Intake, Energy Metabolism, Female, Humans, Male, Models, Biological, Nutrition Surveys, Patient Compliance, Recurrence, Software, Weight Gain, Weight Loss.

Abstract

Clinical weight loss in individuals typically stabilizes at 6 mo. However, validated models of dynamic energy balance have consistently shown weight plateaus between 1 and 2 y. The cause for this discrepancy is unclear.

DOI: 10.3945/ajcn.113.079822
PubMed: 25080458

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Diana M. Thomas

<affiliation><nlm:affiliation>From the Center for Quantitative Obesity Research, Montclair State University, Montclair, NJ (DMT); the Pennington Biomedical Research Center, Baton Rouge, LA (CKM, LMR, SBH, and CB); the Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA (SL); Obesity Solutions, Mayo Clinic, Arizona State University, Phoenix, AZ (JAL); and Nutritional Sciences, University of Wisconsin, Madison, WI (DAS).</nlm:affiliation>
<wicri:noCountry code="subField">WI (DAS)</wicri:noCountry>
</affiliation>

Corby K. Martin

<affiliation><nlm:affiliation>From the Center for Quantitative Obesity Research, Montclair State University, Montclair, NJ (DMT); the Pennington Biomedical Research Center, Baton Rouge, LA (CKM, LMR, SBH, and CB); the Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA (SL); Obesity Solutions, Mayo Clinic, Arizona State University, Phoenix, AZ (JAL); and Nutritional Sciences, University of Wisconsin, Madison, WI (DAS).</nlm:affiliation>
<wicri:noCountry code="subField">WI (DAS)</wicri:noCountry>
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Leanne M. Redman

<affiliation><nlm:affiliation>From the Center for Quantitative Obesity Research, Montclair State University, Montclair, NJ (DMT); the Pennington Biomedical Research Center, Baton Rouge, LA (CKM, LMR, SBH, and CB); the Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA (SL); Obesity Solutions, Mayo Clinic, Arizona State University, Phoenix, AZ (JAL); and Nutritional Sciences, University of Wisconsin, Madison, WI (DAS).</nlm:affiliation>
<wicri:noCountry code="subField">WI (DAS)</wicri:noCountry>
</affiliation>

Steven B. Heymsfield

<affiliation><nlm:affiliation>From the Center for Quantitative Obesity Research, Montclair State University, Montclair, NJ (DMT); the Pennington Biomedical Research Center, Baton Rouge, LA (CKM, LMR, SBH, and CB); the Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA (SL); Obesity Solutions, Mayo Clinic, Arizona State University, Phoenix, AZ (JAL); and Nutritional Sciences, University of Wisconsin, Madison, WI (DAS).</nlm:affiliation>
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Steven Lettieri

<affiliation><nlm:affiliation>From the Center for Quantitative Obesity Research, Montclair State University, Montclair, NJ (DMT); the Pennington Biomedical Research Center, Baton Rouge, LA (CKM, LMR, SBH, and CB); the Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA (SL); Obesity Solutions, Mayo Clinic, Arizona State University, Phoenix, AZ (JAL); and Nutritional Sciences, University of Wisconsin, Madison, WI (DAS).</nlm:affiliation>
<wicri:noCountry code="subField">WI (DAS)</wicri:noCountry>
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James A. Levine

<affiliation><nlm:affiliation>From the Center for Quantitative Obesity Research, Montclair State University, Montclair, NJ (DMT); the Pennington Biomedical Research Center, Baton Rouge, LA (CKM, LMR, SBH, and CB); the Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA (SL); Obesity Solutions, Mayo Clinic, Arizona State University, Phoenix, AZ (JAL); and Nutritional Sciences, University of Wisconsin, Madison, WI (DAS).</nlm:affiliation>
<wicri:noCountry code="subField">WI (DAS)</wicri:noCountry>
</affiliation>

Claude Bouchard

<affiliation><nlm:affiliation>From the Center for Quantitative Obesity Research, Montclair State University, Montclair, NJ (DMT); the Pennington Biomedical Research Center, Baton Rouge, LA (CKM, LMR, SBH, and CB); the Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA (SL); Obesity Solutions, Mayo Clinic, Arizona State University, Phoenix, AZ (JAL); and Nutritional Sciences, University of Wisconsin, Madison, WI (DAS).</nlm:affiliation>
<wicri:noCountry code="subField">WI (DAS)</wicri:noCountry>
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Dale A. Schoeller

<affiliation><nlm:affiliation>From the Center for Quantitative Obesity Research, Montclair State University, Montclair, NJ (DMT); the Pennington Biomedical Research Center, Baton Rouge, LA (CKM, LMR, SBH, and CB); the Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA (SL); Obesity Solutions, Mayo Clinic, Arizona State University, Phoenix, AZ (JAL); and Nutritional Sciences, University of Wisconsin, Madison, WI (DAS).</nlm:affiliation>
<wicri:noCountry code="subField">WI (DAS)</wicri:noCountry>
</affiliation>

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<front><div type="abstract" xml:lang="en">Clinical weight loss in individuals typically stabilizes at 6 mo. However, validated models of dynamic energy balance have consistently shown weight plateaus between 1 and 2 y. The cause for this discrepancy is unclear.</div>
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<ELocationID EIdType="doi" ValidYN="Y">10.3945/ajcn.113.079822</ELocationID>
<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Clinical weight loss in individuals typically stabilizes at 6 mo. However, validated models of dynamic energy balance have consistently shown weight plateaus between 1 and 2 y. The cause for this discrepancy is unclear.</AbstractText>
<AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">We developed 2 mathematical models on the basis of the first law of thermodynamics to investigate plausible explanations for reaching an early weight plateau at 6 mo.</AbstractText>
<AbstractText Label="DESIGN" NlmCategory="METHODS">The first model was an energy-expenditure adaptation model and was applied to determine the degree of metabolic adaptation required to generate this plateau. The second model was an intermittent lack-of-adherence model formulated by using a randomly fluctuating energy intake term accounting for intermittent noncompliance in dietary intake to reach this plateau. To set model variables, validate models, and compare free-living weight-loss patterns to in-residence supervised programs, we applied the following 4 different studies: The US NHANES 1999-2004, Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy (CALERIE) weight-loss study, the Bouchard Twin overfeeding study, and the Minnesota Starvation Experiment.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">The metabolic adaptation model increased final weight but did not affect the predicted plateau time point. The intermittent lack-of-adherence model generated oscillating weight graphs that have been frequently observed in weight-loss studies. The model showed that a 6-mo weight-loss plateau can be attained despite what can be considered as high diet adherence. The model was programmed as a downloadable application.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">An intermittent lack of diet adherence, not metabolic adaptation, is a major contributor to the frequently observed early weight-loss plateau. The new weight-loss prediction software, which incorporates an intermittent lack of adherence, can be used to guide and inform patients on realistic levels of adherence on the basis of patient lifestyle.</AbstractText>
<CopyrightInformation>© 2014 American Society for Nutrition.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Thomas</LastName>
<ForeName>Diana M</ForeName>
<Initials>DM</Initials>
<AffiliationInfo><Affiliation>From the Center for Quantitative Obesity Research, Montclair State University, Montclair, NJ (DMT); the Pennington Biomedical Research Center, Baton Rouge, LA (CKM, LMR, SBH, and CB); the Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA (SL); Obesity Solutions, Mayo Clinic, Arizona State University, Phoenix, AZ (JAL); and Nutritional Sciences, University of Wisconsin, Madison, WI (DAS).</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Martin</LastName>
<ForeName>Corby K</ForeName>
<Initials>CK</Initials>
<AffiliationInfo><Affiliation>From the Center for Quantitative Obesity Research, Montclair State University, Montclair, NJ (DMT); the Pennington Biomedical Research Center, Baton Rouge, LA (CKM, LMR, SBH, and CB); the Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA (SL); Obesity Solutions, Mayo Clinic, Arizona State University, Phoenix, AZ (JAL); and Nutritional Sciences, University of Wisconsin, Madison, WI (DAS).</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Redman</LastName>
<ForeName>Leanne M</ForeName>
<Initials>LM</Initials>
<AffiliationInfo><Affiliation>From the Center for Quantitative Obesity Research, Montclair State University, Montclair, NJ (DMT); the Pennington Biomedical Research Center, Baton Rouge, LA (CKM, LMR, SBH, and CB); the Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA (SL); Obesity Solutions, Mayo Clinic, Arizona State University, Phoenix, AZ (JAL); and Nutritional Sciences, University of Wisconsin, Madison, WI (DAS).</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Heymsfield</LastName>
<ForeName>Steven B</ForeName>
<Initials>SB</Initials>
<AffiliationInfo><Affiliation>From the Center for Quantitative Obesity Research, Montclair State University, Montclair, NJ (DMT); the Pennington Biomedical Research Center, Baton Rouge, LA (CKM, LMR, SBH, and CB); the Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA (SL); Obesity Solutions, Mayo Clinic, Arizona State University, Phoenix, AZ (JAL); and Nutritional Sciences, University of Wisconsin, Madison, WI (DAS).</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Lettieri</LastName>
<ForeName>Steven</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>From the Center for Quantitative Obesity Research, Montclair State University, Montclair, NJ (DMT); the Pennington Biomedical Research Center, Baton Rouge, LA (CKM, LMR, SBH, and CB); the Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA (SL); Obesity Solutions, Mayo Clinic, Arizona State University, Phoenix, AZ (JAL); and Nutritional Sciences, University of Wisconsin, Madison, WI (DAS).</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Levine</LastName>
<ForeName>James A</ForeName>
<Initials>JA</Initials>
<AffiliationInfo><Affiliation>From the Center for Quantitative Obesity Research, Montclair State University, Montclair, NJ (DMT); the Pennington Biomedical Research Center, Baton Rouge, LA (CKM, LMR, SBH, and CB); the Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA (SL); Obesity Solutions, Mayo Clinic, Arizona State University, Phoenix, AZ (JAL); and Nutritional Sciences, University of Wisconsin, Madison, WI (DAS).</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Bouchard</LastName>
<ForeName>Claude</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>From the Center for Quantitative Obesity Research, Montclair State University, Montclair, NJ (DMT); the Pennington Biomedical Research Center, Baton Rouge, LA (CKM, LMR, SBH, and CB); the Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA (SL); Obesity Solutions, Mayo Clinic, Arizona State University, Phoenix, AZ (JAL); and Nutritional Sciences, University of Wisconsin, Madison, WI (DAS).</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Schoeller</LastName>
<ForeName>Dale A</ForeName>
<Initials>DA</Initials>
<AffiliationInfo><Affiliation>From the Center for Quantitative Obesity Research, Montclair State University, Montclair, NJ (DMT); the Pennington Biomedical Research Center, Baton Rouge, LA (CKM, LMR, SBH, and CB); the Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA (SL); Obesity Solutions, Mayo Clinic, Arizona State University, Phoenix, AZ (JAL); and Nutritional Sciences, University of Wisconsin, Madison, WI (DAS).</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<DataBankList CompleteYN="Y"><DataBank><DataBankName>ClinicalTrials.gov</DataBankName>
<AccessionNumberList><AccessionNumber>NCT00099151</AccessionNumber>
</AccessionNumberList>
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<GrantList CompleteYN="Y"><Grant><GrantID>P30 DK072476</GrantID>
<Acronym>DK</Acronym>
<Agency>NIDDK NIH HHS</Agency>
<Country>United States</Country>
</Grant>
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<Acronym>DK</Acronym>
<Agency>NIDDK NIH HHS</Agency>
<Country>United States</Country>
</Grant>
<Grant><GrantID>R15 DK090739-01</GrantID>
<Acronym>DK</Acronym>
<Agency>NIDDK NIH HHS</Agency>
<Country>United States</Country>
</Grant>
<Grant><GrantID>HL102166</GrantID>
<Acronym>HL</Acronym>
<Agency>NHLBI NIH HHS</Agency>
<Country>United States</Country>
</Grant>
<Grant><GrantID>R00HD060762</GrantID>
<Acronym>HD</Acronym>
<Agency>NICHD NIH HHS</Agency>
<Country>United States</Country>
</Grant>
<Grant><GrantID>DK089051</GrantID>
<Acronym>DK</Acronym>
<Agency>NIDDK NIH HHS</Agency>
<Country>United States</Country>
</Grant>
<Grant><GrantID>U01 AG20478</GrantID>
<Acronym>AG</Acronym>
<Agency>NIA NIH HHS</Agency>
<Country>United States</Country>
</Grant>
<Grant><GrantID>U01 DK094418</GrantID>
<Acronym>DK</Acronym>
<Agency>NIDDK NIH HHS</Agency>
<Country>United States</Country>
</Grant>
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<PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType>
<PublicationType UI="D018486">Twin Study</PublicationType>
<PublicationType UI="D023361">Validation Studies</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2014</Year>
<Month>07</Month>
<Day>30</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>United States</Country>
<MedlineTA>Am J Clin Nutr</MedlineTA>
<NlmUniqueID>0376027</NlmUniqueID>
<ISSNLinking>0002-9165</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>AIM</CitationSubset>
<CitationSubset>IM</CitationSubset>
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<MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D031204" MajorTopicYN="N">Caloric Restriction</DescriptorName>
<QualifierName UI="Q000009" MajorTopicYN="N">adverse effects</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002170" MajorTopicYN="N" Type="Geographic">Canada</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015331" MajorTopicYN="N">Cohort Studies</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D004038" MajorTopicYN="Y">Diet, Reducing</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002149" MajorTopicYN="Y">Energy Intake</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D004734" MajorTopicYN="N">Energy Metabolism</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
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<MeshHeading><DescriptorName UI="D006963" MajorTopicYN="N">Hyperphagia</DescriptorName>
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<MeshHeading><DescriptorName UI="D009749" MajorTopicYN="N">Nutrition Surveys</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D009765" MajorTopicYN="N">Obesity</DescriptorName>
<QualifierName UI="Q000178" MajorTopicYN="Y">diet therapy</QualifierName>
<QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D050177" MajorTopicYN="N">Overweight</DescriptorName>
<QualifierName UI="Q000178" MajorTopicYN="Y">diet therapy</QualifierName>
<QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D010349" MajorTopicYN="Y">Patient Compliance</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012008" MajorTopicYN="N">Recurrence</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012984" MajorTopicYN="N">Software</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D014481" MajorTopicYN="N" Type="Geographic">United States</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015430" MajorTopicYN="N">Weight Gain</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015431" MajorTopicYN="N">Weight Loss</DescriptorName>
</MeshHeading>
</MeshHeadingList>
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Effect of dietary adherence on the body weight plateau: a mathematical model incorporating intermittent compliance with energy intake prescription.

Effect of dietary adherence on the body weight plateau: a mathematical model incorporating intermittent compliance with energy intake prescription.

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