2015
DOI: 10.1017/s0029665115003328
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Optimising pre-load study design for satiety assessment

Abstract: Laboratory-based pre-load studies are often used to quantify the effects of foods and/or food ingredients on satiety and satiation. Important considerations when designing pre-load studies include, but are not limited to, the timings of the study meals in relation to habitual intake, the duration between the pre-load and ad libitum test meal, and the nutrient content and palatability of the study meals provided (1) . We conducted a pilot study to determine the satiety effects of, i) a gender-specific compared … Show more

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“…Modification of gut microbiota included an increase in Bacteroides spp, a decrease in Clostridium perfringens and the production of several SCFAs. In other studies performed on either animal models, healthy volunteers or specific human populations (diabetic women), RD showed different beneficial health responses, such as antiobesogenic, [21][22][23][24][25][26] cholesterol-lowering, [27] anti-inflammatory, [28][29][30] or positive influence on the immune system response. [29] Most of the interventional (human) studies with fibers focused on specific taxa, targeting only Bifidobacterium and Lactobacillus, thus following the first prebiotic definition.…”
Section: Introductionmentioning
confidence: 99%
“…Modification of gut microbiota included an increase in Bacteroides spp, a decrease in Clostridium perfringens and the production of several SCFAs. In other studies performed on either animal models, healthy volunteers or specific human populations (diabetic women), RD showed different beneficial health responses, such as antiobesogenic, [21][22][23][24][25][26] cholesterol-lowering, [27] anti-inflammatory, [28][29][30] or positive influence on the immune system response. [29] Most of the interventional (human) studies with fibers focused on specific taxa, targeting only Bifidobacterium and Lactobacillus, thus following the first prebiotic definition.…”
Section: Introductionmentioning
confidence: 99%