Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Gaceta Medica de Mexico 2017

Glycemic index and glycemic load in the Opuntia ficus-indica fruit

Samo registrirani korisnici mogu prevoditi članke
Prijava Registriraj se
Veza se sprema u međuspremnik
María de Jesús Ibarra-Salas
Hilda Irene Novelo-Huerta
Marcela Alejandra De León-Salas
Mayra Elisa Sánchez-Murillo
María Del Carmen Mata-Obregón
Aurora de Jesús Garza-Juárez

Ključne riječi

Sažetak

There is evidence that support the clinical usage of glycemic index (GI) and glycemic load (GL) in the prevention of chronic disease.

To determine the GI and GL of the Opuntia ficus-indica fruit.

An analytic, transversal study was made involving 25 healthy volunteers accepted by an informed consent with a normal body mass index, glucose, glycoside hemoglobin, cholesterol and serum triglycerides. The homogeneity of the population was evaluated with anthropometrical and biochemical data using principal component analysis (PCA). The equivalent of 50 g of carbohydrates test food (tuna) and 50 g of dextrose as food standard was provided for the measure of the glucose curve. The GI was determined by calculating the area under the curve by the triangulation method. The CG was reported as the product of IG by carbohydrate loading provided.

The IG of the tuna was 48.01 ± 17.4, classified as low, while the CG was 24.0 ± 8.7 rated as high. The chemometric analysis by PCA showed that the selection of the normal population for determining the IG, it is important to consider the values of cholesterol and triglycerides.

Pridružite se našoj
facebook stranici

Najkompletnija baza ljekovitog bilja potpomognuta znanošću

  • Radi na 55 jezika
  • Biljni lijekovi potpomognuti znanošću
  • Prepoznavanje bilja slikom
  • Interaktivna GPS karta - označite bilje na mjestu (uskoro)
  • Pročitajte znanstvene publikacije povezane s vašom pretragom
  • Pretražite ljekovito bilje po učincima
  • Organizirajte svoje interese i budite u toku s istraživanjem vijesti, kliničkim ispitivanjima i patentima

Upišite simptom ili bolest i pročitajte o biljkama koje bi mogle pomoći, unesite travu i pogledajte bolesti i simptome protiv kojih se koristi.
* Svi podaci temelje se na objavljenim znanstvenim istraživanjima

Google Play badgeApp Store badge