Second-meal effect: low-glycemic-index foods eaten at dinner improve subsequent breakfast glycemic response

1988 ◽  
Vol 48 (4) ◽  
pp. 1041-1047 ◽  
Author(s):  
T M Wolever ◽  
D J Jenkins ◽  
A M Ocana ◽  
V A Rao ◽  
G R Collier
1991 ◽  
Vol 69 (1) ◽  
pp. 100-107 ◽  
Author(s):  
Clarie B. Hollenbeck ◽  
Ann M. Coulston

A classification of carbohydrate-containing foods based on their glycemic response to 50-g carbohydrate portions has recently been developed. The relative glycemic potency of many of these carbohydrate-containing foods have been compared, and these data have been published in the form of a glycemic index. It has been suggested that meals containing low glycemic index foods will result in a lower postprandial glucose response than meals with a higher glycemic index. However, whether or not these data will lead to a clinically useful reduction in postprandial hyperglycemia in individuals with carbohydrate intolerance remains controversial. In this review, we will try to delineate why we believe that the glycemic index, as currently developed, may be a specious issue. In addition, we will briefly discuss a number of factors that may explain the apparent discrepancy in viewpoints on this issue.Key words: glycemic index, noninsulin-dependent diabetes mellitus, glycemic response, dietary carbohydrate.


Author(s):  
Neelam Chaturvedi, Nishtha Raj and Ayush Borah

The glycemic index (GI) provides an indication of carbohydrate quality whereas glycemic load (GL) provides carbohydrates quantity in a food and the insulin demand. Diet with low glycemic index and glycemic load have been shown to improve glucose tolerance on normal healthy subjects so there is a need for a more diversified range of foods with a low glycemic response. The objective of present work was to formulate ashwagandha based food products by utilizing their root powder as an ingredient and their glycemic responses on normal healthy subjects. The products (Chappati, Naan and Thepla) were developed by incorporation of 2%, 4%, 6% and 8% aswagandha root. The result showed that the products with 2% root powder were most acceptable by semi trained panels. Further, study was conducted on randomly selected 30 healthy subjects were fed most acceptable test recipe i.e. thepla and their glycemic response was anticipated. GI and GL values were 37.30 and 11.36 found to be lower 2% root incorporated in thepla while comparing with standard thepla. The data demonstrated that the test thepla belongs to low glycemic index and medium glycemic load. Thus, the inclusion of ashwagandha powder as a constituent can be used to achieve a wider range of low glycemic functional foods possessing sensory attributes that could be valuable for managing the diabetes mellitus.


Foods ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 2541
Author(s):  
Giuseppe Di Pede ◽  
Rossella Dodi ◽  
Cecilia Scarpa ◽  
Furio Brighenti ◽  
Margherita Dall’Asta ◽  
...  

Durum wheat pasta is considered a low-glycemic index (GI) food. In recent years, the interest in developing enriched pasta has increased. Since both the formulation and processing technologies may affect the GI, this study aimed to investigate the GI values of pasta products (pp) reported in the literature until 2020. GI values of pp analyzed following the ISO guidelines were included in this survey. A total of 95 pp were identified and, according to their formulation, classified into 10 categories (n, mean GI): category n 1: 100% refined wheat (35, 55); category n 2: 100% whole wheat (6, 52); category n 3: other cereal-based products (8, 52); category n 4: containing egg (5, 52); category n 5: gluten free (11, 60); category n 6: containing legumes (9, 46); category n 7: noodles and vermicelli (9, 56); category n 8: containing vegetable or algae (6, 51); category n 9: containing other ingredients (5, 37); category n 10: stuffed (1, 58). Overall, pasta is confirmed to be a medium–low-GI food, even if a high variability among or within each category emerged. The formulation of enriched pp able to elicit a controlled glycemic response could represent a strategy to improve the nutritional value of pasta.


2018 ◽  
Vol 107 (5) ◽  
pp. 845-850 ◽  
Author(s):  
Furio Brighenti ◽  
Cyril W C Kendall ◽  
Livia S A Augustin ◽  
Fred J P H Brouns ◽  
Carlo La Vecchia ◽  
...  

Nutrition ◽  
2017 ◽  
Vol 42 ◽  
pp. 12-19 ◽  
Author(s):  
Emilia Papakonstantinou ◽  
Nickolaos Orfanakos ◽  
Paul Farajian ◽  
Anastasia E. Kapetanakou ◽  
Ifigenia P. Makariti ◽  
...  

Author(s):  
Nataliia Sokolova

Wheat flour-based products are the most popular and desirable of all bakery goods. In the same time, they give the heights glycemic response so this type of products are banned for people with metabolic disorders as well as consumers who have a tendency to live a healthy lifestyle. In the same time the increasing consumption of sugars has resulted in several nutritional and medical problems, such as obesity, diabetes, and cardiovascular diseases. The uses of a combination of various ingredients in range (such as rye flour – 40...60, dry gluten – 5...15, oat dietary fibre – 1...6 % and lentil flour - 5...20 %) that may modify the glycemic index of baked products, enhance the nutrition and functional features have shown in the article. Water Stevia extract demonstrated no effect on the baking quality and suggested the use of it to improve palatability and nutritional properties of developed new sugar-free bakery products. It was found the optimum ratio of these ingredients as a result of a series of studies and processing of the obtained data by multicriteria optimization. Results have shown that lentil flour can be used in the amount 12.5 % for the achieving optimum ratio "low glycemic index-high taste". It is shown that due to lentil flour it is possible to reduce the glycemic index to a greater extent than rye flour, dry gluten, but in terms of the taste characteristics, these products were less attractive with an increasing amount of flour in formula. The coefficients of the regression model were given as a result, it has helped to find out the patterns of influence of selected components and their dosage on the glycemic index, energy value and sensory characteristics of the product. The article represents the results, which can be used to create recipe compositions using selected ingredients.


2021 ◽  
Vol 171 ◽  
pp. 106574
Author(s):  
Kannan Lakshminarayanan ◽  
Anuja Agarawal ◽  
Prateek Kumar Panda ◽  
Rahul Sinha ◽  
Manjari Tripathi ◽  
...  

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