Showing results (91-100 of 129) with videos related to

Sort By:
Pageof 13
Molecular Nutrition & Food Research|November 1, 2013
REV-ERB-ALPHA circadian gene variant associates with obesity in two independent populations: Mediterranean and North AmericanMarta Garaulet, Caren E Smith, Purificación Gomez-Abellán, et al.
Chronobiology International|February 20, 2014
CRY1 circadian gene variant interacts with carbohydrate intake for insulin resistance in two independent populations: Mediterranean and North AmericanHassan S Dashti, Caren E Smith, Yu-Chi Lee, et al.
FASEB Journal : Official Publication of the Federation of American Societies for Experimental Biology|June 24, 2021
Timing of chocolate intake affects hunger, substrate oxidation, and microbiota: A randomized controlled trialTeresa Hernández-González, Rocío González-Barrio, Carolina Escobar, et al.
The American Journal of Clinical Nutrition|September 8, 2017
Later circadian timing of food intake is associated with increased body fatAndrew W McHill, Andrew Jk Phillips, Charles A Czeisler, et al.
Frontiers in Endocrinology|June 26, 2023
Habitual nappers and non-nappers differ in circadian rhythms of LIPE expression in abdominal adipose tissue explantsCarolina Zambrano, Agné Kulyté, Juán Luján, et al.
Metabolism: Clinical and Experimental|May 26, 2026
Constant-routine protocol reveals an endogenous circadian rhythm in diet-induced thermogenesis with a peak in the biological morningNina Vujovic, Han-Chow E Koh, Su Wei Heng, et al.
Nutrients|March 14, 2019
Caloric and Macronutrient Intake Differ with Circadian Phase and between Lean and Overweight Young AdultsAndrew W McHill, Charles A Czeisler, Andrew J K Phillips, et al.
Clinical Nutrition (Edinburgh, Scotland)|March 25, 2018
Heritability of the timing of food intakeJesus Lopez-Minguez, Hassan S Dashti, Juan J Madrid-Valero, et al.
Obesity (Silver Spring, Md.)|May 4, 2023
Evening types as determined by subjective and objective measures are more emotional eatersMarta Garaulet, Barbara Vizmanos, Teresa Muela, et al.
International Journal of Obesity (2005)|May 6, 2025
Uncovering key factors in weight loss effectiveness through machine learningHui-Wen Yang, Rocío De la Peña-Armada, Haoqi Sun, et al.
Pageof 13