Postprandial glucose and insulin levels in type 2 diabetes mellitus patients after consumption of ready-to-eat mixed meals.

PURPOSE: To compare the effects of three ready-to-eat mixed meals, with a high fiber content and low glycemic index, on postprandial glycemic and insulinemic response in patients with Type 2 diabetes mellitus (T2DM). METHODS: The current study followed a prospective, three-way, cross-over design. Twenty-four patients with T2DM consumed three ready-to-eat mixed meals, i.e., "wild greens pie" (meal 1), "chicken burgers with boiled vegetables" (meal 2) and "vegetable moussaka" (meal 3) and an oral glucose load, all providing 50 g of carbohydrates. Venous blood was collected at 0, 30, 60, 90 and 120 min postprandial. Statistical analyses included repeated measures analysis of variance and calculations of the area under the glucose and insulin curves (AUC) for each one of the test meals and the oral glucose load. RESULTS: Patients consuming each one of the three mixed meals showed better postprandial glycemic responses compared to the oral glucose load (P < 0.001). Furthermore, patients consuming meal 3 showed a better insulinemic response compared to the oral glucose load and meal 1, after 60 and 120 min postprandial, respectively (P < 0.05). In addition, the increase observed in HOMA-IR values from T0 to T120 was significantly lower for meal 3, compared to the oral glucose load (P < 0.001). CONCLUSIONS: The three ready-to-eat mixed meals examined in the present study were found to elicit significantly lower glycemic responses compared to the oral glucose load in diabetic patients. The mixed meals examined in the present study could be proposed as effective, palatable and practical solutions for diabetics for glucose control.

How reliable is internet-based self-reported identity, socio-demographic and obesity measures in European adults?

UNLABELLED: In e-health intervention studies, there are concerns about the reliability of internet-based, self-reported (SR) data and about the potential for identity fraud. This study introduced and tested a novel procedure for assessing the validity of internet-based, SR identity and validated anthropometric and demographic data via measurements performed face-to-face in a validation study (VS). Participants (n = 140) from seven European countries, participating in the Food4Me intervention study which aimed to test the efficacy of personalised nutrition approaches delivered via the internet, were invited to take part in the VS. Participants visited a research centre in each country within 2 weeks of providing SR data via the internet. Participants received detailed instructions on how to perform each measurement. Individual's identity was checked visually and by repeated collection and analysis of buccal cell DNA for 33 genetic variants. Validation of identity using genomic information showed perfect concordance between SR and VS. Similar results were found for demographic data (age and sex verification). We observed strong intra-class correlation coefficients between SR and VS for anthropometric data (height 0.990, weight 0.994 and BMI 0.983). However, internet-based SR weight was under-reported (Δ -0.70 kg [-3.6 to 2.1], p < 0.0001) and, therefore, BMI was lower for SR data (Δ -0.29 kg m(-2) [-1.5 to 1.0], p < 0.0001). BMI classification was correct in 93 % of cases. We demonstrate the utility of genotype information for detection of possible identity fraud in e-health studies and confirm the reliability of internet-based, SR anthropometric and demographic data collected in the Food4Me study. TRIAL REGISTRATION: NCT01530139 ( http://clinicaltrials.gov/show/NCT01530139 ).

Conceptual framework of a simplified multi-dimensional model presenting the environmental and personal determinants of cardiometabolic risk behaviors in childhood.

Clinical manifestations of cardiometabolic risk (CMR) may be set early in childhood due to unfavorable behaviors or lifestyle patterns related to diet and physical activity. Several factors may determine the adoption of such lifestyle-related behaviors, which researchers have tried to cluster under certain frameworks or models. In this context, the framework developed and proposed by this review gathers all the present knowledge regarding these determining factors to date and groups them into three main categories related to personal characteristics and the social and physical environment. Based on the proposed framework, a large variety of personal, social and physical environmental factors can positively or negatively influence CMR-related behaviors (either directly or indirectly via their interrelations), thus leading to decreased or increased risk, respectively. This framework could be of great value to public health policy makers and legislators for designing and implementing interventional programs tailored to the needs of susceptible population groups who are most in need for such initiatives. Targeting the correlates as potential determinants of CMR-related behaviors, and not just on the behaviors themselves, has been shown previously to be the most effective approach for tackling health issues related to CMR starting from early life stages.