Computational models have gained popularity as a predictive tool for assessing proposed policy changes affecting dietary choice. Specifically, they have been used for modeling dietary changes in response to economic interventions, such as price and income changes. Herein, we present a novel addition to this type of model by incorporating habitual behaviors that drive individuals to maintain or ...

OBJECTIVE To investigate the role of dietary patterns in prevention and management of type 2 diabetes mellitus. MATERIALS AND METHODS A systematic review of databases which were published in ISI, Cochrane Central Register of Controlled Trials databases, PubMed, Iran Medex, and MagIran was performed. "Diabetes" and "dietary pattern" were used as the keywords. RESULTS A total of 58 studies wh...

What has become familiar tends to be preferred while the unfamiliar is avoided. Additionally, liking is impacted by associative learning processes where new stimuli become liked via repeated pairings with familiar, already-liked stimuli. In addition to the ability to learn to like new foods and flavors, infants bring genetic taste predispositions to the table, including an unlearned preference ...

OBJECTIVE To examine diet costs in relation to dietary quality and socio-economic position, and to investigate underlying reasons for differences in diet costs. DESIGN Dietary intake was assessed by a 4 d food diary and evaluated using the 2005 Healthy Eating Index (HEI). National consumer food prices collected by Statistics Sweden and from two online stores/supermarkets were used to estimate...

Type 2 diabetes (T2D) has increased dramatically in the last 20 years afflicting more than 425 million people all over world with 34 located US, emphasizing need for strategic therapies including dietary prescriptions or other lifestyle changes to reduce these numbers. In addition abnormally high plasma glucose levels, concentrations of glycosylated hemoglobin and insulin resistance, T2D is als...