Virtual, augmented, and mixed reality as a versatile tool in food consumer behavior evaluation: Recent advances in aroma, taste, and texture incorporation.

The perceptual behavior of consumers on a product displayed in the market has a vital role in analyzing the importance given to that product. Therefore, various strategies have been developed to understand this consumer behavior in the selection of products. Immersive technologies like virtual, augmented, and mixed reality are among them. With the foremost feature of immersion in the virtual world and interaction of users with virtual objects, virtual reality, and augmented reality have unlocked their potential in research and a user-friendly tool for analyzing consumer behavior. In addition to these technologies, mixed reality also has a significant role in investigating consumer behavior. Studies on immersive technologies in food applications are vast, hence this review focuses on the applications of virtual, augmented, and mixed reality in the food selection behavior of consumers. The behavioral studies are elicited to develop new products based on consumer needs, to understand the shopping behavior in supermarkets for real-time usage, and to know the influence of emotions in a selection of products. The findings suggest that virtual, augmented, and mixed reality induce immersion of the users in food selection behavioral studies. Information on the technological advancements in the tools used for bringing immersion and interaction are discussed for its futuristic applications in food. Though immersive technology gives users a realistic virtual environment experience, its application in food systems is in the budding stage. More research on human response studies would contribute to its innovative and inevitable application in the future.

Association between number of abnormal glucose values and severity of fasting plasma glucose in IADPSG criteria and maternal outcomes in women with gestational diabetes mellitus.

AIMS: The International Association for Diabetes in Pregnancy Study Group (IADPSG) criteria recommend a single-step diagnostic oral glucose tolerance test (OGTT) for diagnosis of gestational diabetes mellitus (GDM). The aim of this study was to examine the association between the number of abnormal glucose values and levels of FPG with pregnancy outcomes. METHODS: Pregnant women (n=1,044) were screened for GDM at maternity centers in South India using IADPSG criteria. OGTTs were classified based on the number of abnormal glucose values (any one value or more than one value high) and fasting plasma glucose (FPG) values (<92mg/dl,92-100mg/dl,>100mg/dl) and correlated with pregnancy outcomes. Odds ratio were adjusted for age, BMI, gestational week at diagnosis, family history of diabetes, previous history of GDM, gestational week at delivery and birth weight. For macrosomia and large for gestation age, birth weight was excluded from the model. RESULTS: Risk of caesarean section was significantly higher in women with any one abnormal glucose value (OR: 1.49; 95%CI: 1.07-2.09). This further increased in those with >1 value (OR: 1.35; 95%CI: 0.87-2.10), when compared to women with all values normal. Risk of large for gestation age (LGA) was higher in women with FPG 92-100mg/dl (OR: 1.37; 95%CI: 0.80-2.35) and in those with FPG >100mg/dl (OR: 1.87; 95%CI: 1.04-3.35), compared to those with FPG <92mg/dl. CONCLUSIONS: The risk for poor pregnancy outcomes starts in those with one abnormal value in the OGTT or with FPG >92mg/dl but becomes significantly higher in those with higher abnormal values.

Screening and diagnosis of gestational diabetes mellitus - relevance to low and middle income countries.

Gestational diabetes mellitus (GDM) is one of the most common metabolic complications of pregnancy. Ever since the first systematic evaluation of the oral glucose tolerance test by O'Sullivan and colleagues was carried out in 1964, there has been controversy with respect to the optimal screening and diagnostic criteria to detect GDM. The recently proposed International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria for GDM has found fairly widespread acceptance, but it is still debated by several societies. This review intends to provide an overview of the evolution of the screening and diagnostic criteria for GDM. Debatable issues regarding optimal screening strategies, especially in the low resource settings of low and middle income countries are highlighted. The recent Women in India with GDM Strategy (WINGS) project carried out in Chennai, India tried to develop a Model of Care for GDM suitable for resource constrained settings. The findings related to screening and diagnosis of GDM based on WINGS are also highlighted in this review. Based on the WINGS experience we believe that despite the constraints in low and middle income countries at the present time, the IADPSG criteria appears to be the best. This will also help to bring out a uniform criteria for screening and diagnosis of GDM worldwide.