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Angelo Tremblay

Researcher at Laval University

Publications -  482
Citations -  35202

Angelo Tremblay is an academic researcher from Laval University. The author has contributed to research in topics: Weight loss & Body mass index. The author has an hindex of 86, co-authored 466 publications receiving 32751 citations. Previous affiliations of Angelo Tremblay include Hotel Dieu Hospital & D'Youville College.

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Video game playing increases food intake in adolescents: a randomized crossover study

TL;DR: A single session of video game play in healthy male adolescents is associated with an increased food intake, regardless of appetite sensations, according to the profiles of appetite-related hormones.
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Effects of red pepper added to high-fat and high-carbohydrate meals on energy metabolism and substrate utilization in Japanese women.

TL;DR: Results indicate that red pepper increases diet-induced thermogenesis and lipid oxidation, mainly observed when foods have a HF content whereas the increase in the perceived oiliness of the meal was found under the HC meal conditions.
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Sex differences in inflammatory markers: what is the contribution of visceral adiposity?

TL;DR: The higher CRP concentrations found in women appear to be due to their greater accumulation of subcutaneous fat than that observed in men, and a multivariate model of the whole sample found that both SAT and VAT and the sex x SAT interaction term were significant correlates of CRP and IL-6 concentrations.

Appetite sensations and satiety quotient : predictors of energy intake and weight loss

TL;DR: In this article, the authors evaluated the validity and clinical meaningfulness of appetite sensations to predict overall energy intake as well as body weight loss and found that appetite sensations are relatively useful predictors of spontaneous energy intake, free-living total energy intake and body weight losses.
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Sleep Duration as a Risk Factor for the Development of Type 2 Diabetes or Impaired Glucose Tolerance: Analyses of the Quebec Family Study

TL;DR: Short and long sleeping times are associated with a higher risk of developing type 2 diabetes/IGT, independent of several covariates, and results suggest that sleep duration may represent a novel risk factor for type 2abetes/IGt.