Prenatal Metformin Exposure in Mice Programs the Metabolic Phenotype of the Offspring During a High Fat Diet at Adulthood.
Prenatal Metformin Exposure in Mice Programs the Metabolic Phenotype of the Offspring during a High Fat Diet at Adulthood.
PLoS One. 2013; 8(2): e56594
Salomäki H, Vähätalo LH, Laurila K, Jäppinen NT, Penttinen AM, Ailanen L, Ilyasizadeh J, Pesonen… Continue reading
A Study of Snack Consumption, Night-Eating Habits, and Nutrient Intake in Gestational Diabetes Mellitus.
A study of snack consumption, night-eating habits, and nutrient intake in gestational diabetes mellitus.
Clin Nutr Res. 2013 Jan; 2(1): 42-51
Park HJ, Lee J, Kim JM, Lee HA, Kim SH, Kim Y
This study was performed to identify… Continue reading
Eating Disorders: The Systemic Effects of Platelet-Rich Plasma Injection.
The Systemic Effects of Platelet-Rich Plasma Injection.
Filed under: Eating Disorders
Am J Sports Med. 2012 Dec 4;
Wasterlain AS, Braun HJ, Harris AH, Kim HJ, Dragoo JL
BACKGROUND:Platelet-rich plasma (PRP) is an autologous blood product used to treat… Continue reading
Eating Disorders: The Role of Gut Microbiota in Human Obesity: Recent Findings and Future Perspectives.
The role of gut microbiota in human obesity: Recent findings and future perspectives.
Filed under: Eating Disorders
Nutr Metab Cardiovasc Dis. 2012 Nov 10;
Tagliabue A, Elli M
AIMS: In recent years, gut microbiota have gained a growing interest… Continue reading
Factors Predicting Severe Childhood Obesity in Kindergarteners.
Factors predicting severe childhood obesity in kindergarteners.
Filed under: Eating Disorders
Int J Obes (Lond). 2012 Nov 13;
Flores G, Lin H
Background:Severe obesity has increased >300% in US children since 1976, and is associated with multiple cardiovascular risk factors and high adult… Continue reading
Eating Disorders: Automatic Food Intake Detection Based on Swallowing Sounds.
Automatic food intake detection based on swallowing sounds.
Filed under: Eating Disorders
Biomed Signal Process Control. 2012 Nov 1; 7(6): 649-656
Makeyev O, Lopez-Meyer P, Schuckers S, Besio W, Sazonov E
This paper presents a novel fully automatic food intake detection methodology, an important step toward objective monitoring of ingestive behavior. The aim of such monitoring is to improve our understanding of eating behaviors associated with obesity and eating disorders. The proposed methodology consists of two stages. First, acoustic detection of swallowing instances based on mel-scale Fourier spectrum features and classification using support vector machines is performed. Principal component analysis and a smoothing algorithm are used to improve swallowing detection accuracy. Second, the frequency of swallowing is used as a predictor for detection of food intake episodes. The proposed methodology was tested on data collected from 12 subjects with various degrees of adiposity. Average accuracies of >80% and >75% were obtained for intra-subject and inter-subject models… Continue reading