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Objective
Big Data are increasingly used in obesity and nutrition research to gain new insights and derive personalized guidance; however, this data in raw form are often not usable. Substantial preprocessing, which requires machine learning (ML), human judgment, and specialized software, is required to transform Big Data into artificial intelligence (AI)‐ and ML‐ready data. These preprocessing steps...
The basis of heat generated by the human body has been a source of speculation and research for more than 2,000 years. Basal heat production, now usually referred to as resting energy expenditure (REE), is currently recognized as deriving from biochemical reactions at subcellular and cellular levels that are expressed in the energy expended by the body’s 78 organs and tissues. These organs and tissues,...
Objective
Chronic positive energy balance leads to obesity, and the “excess” weight is usually described as consisting solely of adipose tissue (AT) or its two components, fat and fat‐free mass (nonfat cell mass, extracellular fluid). This study aimed to clarify the nature of “obesity” tissue.
Methods
A total of 333 adults had AT, skin, skeletal muscle, bone, heart, liver, kidney, spleen, brain,...
Objective
Prepregnancy weight may not always be known to women. A model was developed to estimate prepregnancy weight from measured pregnancy weight.
Methods
The model was developed and validated using participants from two studies (Project Viva, n = 301, model development; and Fit for Delivery [FFD], n = 401, model validation). Data from the third study (Programming Research in Obesity, Growth,...
Objective
Little is known about long‐term metabolic (energy expenditure) adaptation after bariatric surgery.
Methods
Resting metabolic rate under basal conditions (RMR), total daily energy expenditure (TDEE), and body composition were measured in 25 participants in the Longitudinal Assessment of Bariatric Surgery‐2.
Results
Six months after surgery, BMI (±SD) decreased (47 ± 6 kg/m2 to 37 ± 5...
Objective
Obesity is transmissible across generations through both genetic and nongenetic routes, but distinguishing between these factors is challenging. This study aimed to quantitatively examine the contribution of these genetic and nongenetic effects to assess their influence on obesity prevalence.
Methods
A mathematical model was proposed that incorporated both the genetic and nongenetic effects...
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