Novel mathematical models for investigating topics in obesity

Advances in Nutrition

Volumn 5, Issue 5, 2014, Pages 561-562

  Dawson, John A ^a   Hall, Kevin D ^b   Thomas, Diana M ^c   Hardin, James W ^d   Allison, David B ^a   Heymsfield, Steven B ^e  

^a UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

^b NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES   (United States)

^c MONTCLAIR STATE UNIVERSITY   (United States)

^d UNIVERSITY OF SOUTH CAROLINA   (United States)

^e PENNINGTON BIOMEDICAL RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BODY MASS; EMPIRICAL RESEARCH; HUMAN; NONLINEAR SYSTEM; OBESITY; ORGANIZATION; THEORETICAL MODEL; WEIGHT REDUCTION;

BODY MASS INDEX; CONGRESSES AS TOPIC; EMPIRICAL RESEARCH; HUMANS; MODELS, THEORETICAL; NONLINEAR DYNAMICS; OBESITY; WEIGHT LOSS;

EID: 84910124802     PISSN: 21618313     EISSN: 21565376     Source Type: Journal    
DOI: 10.3945/an.114.006569     Document Type: Conference Paper

References (6)

1. Dawson JA, Dhurandhar EJ, Vasquez AI, Peng B, Allison DB. Propagation of obesity across generations: the roles of differential realized fertility and assortative mating by body mass index. Hum Hered 2013;75: 204-12.
2. Hall KD, Sacks G, Chandramohan D, Chow CC, Wang YC, Gortmaker SL, Swinburn BA. Quantification of the effect of energy imbalance on bodyweight. Lancet 2011;378:826-37.
3. Thomas DM, Schoeller DA, Redman LA, Martin CK, Levine JA, Heymsfield SB. A computational model to determine energy intake during weight loss. Am J Clin Nutr 2010;92:1326-31.
4. Brady I, Hall KD. Dispatch from the field: Is mathematical modeling applicable to obesity treatment in the real world? Obesity USA. In press 2014. doi:10.1002/oby.20804.
5. Göbel B, Sanghvi A, Hall KD. Quantifying energy intake changes during obesity pharmacotherapy. Obesity USA. In press 2014. doi:10.1002/ oby.20813.
6. Karlson AKB, Holm A, Breen R. Comparing regression coefficients between same-sample nested models using Logit and Probit: a new method. Sociol Methodol 2012;42:286-313.