Publications by the researcher in collaboration with Clotilde Vázquez Martínez (66)

2022

  1. Adopting a High-Polyphenolic Diet Is Associated with an Improved Glucose Profile: Prospective Analysis within the PREDIMED-Plus Trial

    Antioxidants, Vol. 11, Núm. 2

  2. Association Among Polyphenol Intake, Uric Acid, and Hyperuricemia: A CrossSectional Analysis in a Population at High Cardiovascular Risk

    Journal of the American Heart Association, Vol. 11, Núm. 20

  3. Associations Between the Modified Food Standard Agency Nutrient Profiling System Dietary Index and Cardiovascular Risk Factors in an Elderly Population

    Frontiers in Nutrition, Vol. 9

  4. Circulating carotenoids are associated with favorable lipid and fatty acid profiles in an older population at high cardiovascular risk

    Frontiers in Nutrition, Vol. 9

  5. Contribution of cardio-vascular risk factors to depressive status in the PREDIMED-PLUS Trial. A cross-sectional and a 2-year longitudinal study

    PLoS ONE, Vol. 17, Núm. 4 April

  6. Dairy Product Consumption and Changes in Cognitive Performance: Two-Year Analysis of the PREDIMED-Plus Cohort

    Molecular Nutrition and Food Research, Vol. 66, Núm. 14

  7. Desired weight loss and its association with health, health behaviors and perceptions in an adult population with weight excess: One-year follow-up

    Frontiers in Nutrition, Vol. 9

  8. Does Consumption of Ultra-Processed Foods Matter for Liver Health? Prospective Analysis among Older Adults with Metabolic Syndrome

    Nutrients, Vol. 14, Núm. 19

  9. Factors associated with successful dietary changes in an energy-reduced Mediterranean diet intervention: a longitudinal analysis in the PREDIMED-Plus trial

    European Journal of Nutrition, Vol. 61, Núm. 3, pp. 1457-1475

  10. Integrative development of a short screening questionnaire of highly processed food consumption (sQ-HPF)

    International Journal of Behavioral Nutrition and Physical Activity, Vol. 19, Núm. 1

  11. Morbid liver manifestations are intrinsically bound to metabolic syndrome and nutrient intake based on a machine-learning cluster analysis

    Frontiers in Endocrinology, Vol. 13