Literature DB >> 24832422

Dynamic interplay among homeostatic, hedonic, and cognitive feedback circuits regulating body weight.

Kevin D Hall1, Ross A Hammond, Hazhir Rahmandad.   

Abstract

Obesity is associated with a prolonged imbalance between energy intake and expenditure, both of which are regulated by multiple feedback processes within and across individuals. These processes constitute 3 hierarchical control systems-homeostatic, hedonic, and cognitive-with extensive interaction among them. Understanding complex eating behavior requires consideration of all 3 systems and their interactions. Existing models of these processes are widely scattered, with relatively few attempts to integrate across mechanisms. We briefly review available empirical evidence and dynamic models, discussing challenges and potential for better integration. We conclude that developing richer models of dynamic interplay among systems should be a priority in the future study of obesity and that systems science modeling offers the potential to aid in this goal.

Entities:  

Mesh:

Year:  2014        PMID: 24832422      PMCID: PMC4056226          DOI: 10.2105/AJPH.2014.301931

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  81 in total

1.  Weight control behaviors among obese, overweight, and nonoverweight adolescents.

Authors:  Kerri Boutelle; Dianne Neumark-Sztainer; Mary Story; Michael Resnick
Journal:  J Pediatr Psychol       Date:  2002-09

Review 2.  Functional brain imaging of appetite.

Authors:  Alain Dagher
Journal:  Trends Endocrinol Metab       Date:  2012-04-05       Impact factor: 12.015

3.  The spread of behavior in an online social network experiment.

Authors:  Damon Centola
Journal:  Science       Date:  2010-09-03       Impact factor: 47.728

Review 4.  How accurate is self-reported dietary energy intake?

Authors:  D A Schoeller
Journal:  Nutr Rev       Date:  1990-10       Impact factor: 7.110

Review 5.  Interventions that involve parents to improve children's weight-related nutrition intake and activity patterns - what nutrition and activity targets and behaviour change techniques are associated with intervention effectiveness?

Authors:  R K Golley; G A Hendrie; A Slater; N Corsini
Journal:  Obes Rev       Date:  2011-02       Impact factor: 9.213

6.  A model of social influence on body mass index.

Authors:  Ross A Hammond; Joseph T Ornstein
Journal:  Ann N Y Acad Sci       Date:  2014-02-14       Impact factor: 5.691

7.  From "overweight" to "about right": evidence of a generational shift in body weight norms.

Authors:  Mary A Burke; Frank W Heiland; Carl M Nadler
Journal:  Obesity (Silver Spring)       Date:  2009-10-29       Impact factor: 5.002

8.  Relation of reward from food intake and anticipated food intake to obesity: a functional magnetic resonance imaging study.

Authors:  Eric Stice; Sonja Spoor; Cara Bohon; Marga G Veldhuizen; Dana M Small
Journal:  J Abnorm Psychol       Date:  2008-11

9.  Adolescent obesity and social networks.

Authors:  Laura M Koehly; Aunchalee Loscalzo
Journal:  Prev Chronic Dis       Date:  2009-06-15       Impact factor: 2.830

10.  A neural computational model of incentive salience.

Authors:  Jun Zhang; Kent C Berridge; Amy J Tindell; Kyle S Smith; J Wayne Aldridge
Journal:  PLoS Comput Biol       Date:  2009-07-17       Impact factor: 4.475

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  19 in total

1.  Implications of learning theory for developing programs to decrease overeating.

Authors:  Kerri N Boutelle; Mark E Bouton
Journal:  Appetite       Date:  2015-05-18       Impact factor: 3.868

2.  Modeling energy intake and body weight effects of a long-acting amylin analogue.

Authors:  Annika Brings; Jens Markus Borghardt; Jolanta Skarbaliene; Tamara Baader-Pagler; Maria A Deryabina; Wolfgang Rist; Stefan Scheuerer
Journal:  J Pharmacokinet Pharmacodyn       Date:  2017-11-23       Impact factor: 2.745

3.  Systems science for obesity-related research questions: an introduction to the theme issue.

Authors:  Patricia L Mabry; Regina M Bures
Journal:  Am J Public Health       Date:  2014-05-15       Impact factor: 9.308

Review 4.  Reassessing wanting and liking in the study of mesolimbic influence on food intake.

Authors:  Saleem M Nicola
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2016-08-17       Impact factor: 3.619

Review 5.  Neuroimaging and neuromodulation approaches to study eating behavior and prevent and treat eating disorders and obesity.

Authors:  D Val-Laillet; E Aarts; B Weber; M Ferrari; V Quaresima; L E Stoeckel; M Alonso-Alonso; M Audette; C H Malbert; E Stice
Journal:  Neuroimage Clin       Date:  2015-03-24       Impact factor: 4.881

6.  Precision Treatment and Precision Prevention: Integrating "Below and Above the Skin".

Authors:  Matthew W Gillman; Ross A Hammond
Journal:  JAMA Pediatr       Date:  2016-01       Impact factor: 16.193

Review 7.  Nutrition and the science of disease prevention: a systems approach to support metabolic health.

Authors:  Brian J Bennett; Kevin D Hall; Frank B Hu; Anne L McCartney; Christina Roberto
Journal:  Ann N Y Acad Sci       Date:  2015-09       Impact factor: 5.691

8.  Building new computational models to support health behavior change and maintenance: new opportunities in behavioral research.

Authors:  Donna Spruijt-Metz; Eric Hekler; Niilo Saranummi; Stephen Intille; Ilkka Korhonen; Wendy Nilsen; Daniel E Rivera; Bonnie Spring; Susan Michie; David A Asch; Alberto Sanna; Vicente Traver Salcedo; Rita Kukakfa; Misha Pavel
Journal:  Transl Behav Med       Date:  2015-09       Impact factor: 3.046

9.  Obstetrician-Gynecologists' Strategies for Patient Initiation and Maintenance of Antiobesity Treatment with Glucagon-Like Peptide-1 Receptor Agonists.

Authors:  Lisa Gill; Suzanne Mackey
Journal:  J Womens Health (Larchmt)       Date:  2021-02-24       Impact factor: 2.681

10.  Pregnant Women Consume a Similar Proportion of Highly vs Minimally Processed Foods in the Absence of Hunger, Leading to Large Differences in Energy Intake.

Authors:  Leah M Lipsky; Kyle S Burger; Myles S Faith; Anna Maria Siega-Riz; Aiyi Liu; Grace E Shearrer; Tonja R Nansel
Journal:  J Acad Nutr Diet       Date:  2020-10-24       Impact factor: 4.910

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