Literature DB >> 31230610

Associations of food groups and cardiometabolic and inflammatory biomarkers: does the meal matter?

Carolina Schwedhelm1,2, Lukas Schwingshackl3, George O Agogo4, Emily Sonestedt5, Heiner Boeing1,2, Sven Knüppel1,6.   

Abstract

Increased attention has been paid to circadian patterns and how predisposition to metabolic disorders can be affected by meal timing. Currently, it is not clear which role can be attributed to the foods selected at meals. On a cross-sectional sub-cohort study (815 adults) within the European Prospective Investigation into Cancer and Nutrition-Potsdam study, we investigated whether the same foods (vegetables, fruits, refined grains, whole grains, red and processed meats) eaten at different meals (breakfast, lunch or dinner) show different associations with biomarkers of cardiometabolic risk. Meal-specific usual intakes were calculated from multiple 24-h dietary recalls. Multivariable-adjusted linear regression models showed that intake of vegetables at breakfast was associated with lower LDL-cholesterol (-0·37 mmol/l per 50 g; 95 % CI -0·61, -0·12) and vegetables at dinner was associated with higher HDL-cholesterol (0·05 mmol/l per 50 g; 95 % CI 0, 0·10). Fruit intake at breakfast was associated with lower glycated Hb (HbA1c) (-0·06 % per 50 g; 95 % CI -0·10, -0·01) and fruits at dinner with lower C-reactive protein (CRP) (-0·21 mg/l per 50 g; 95 % CI -0·42, -0·01). Red and processed meat intake at breakfast was associated with higher HbA1c (0·25 % per 50 g; 95 % CI 0·05, 0·46) and CRP (0·76 mg/l per 50 g; 95 % CI 0·15, 1·36). Our results suggest that by preferring fruits and vegetables and avoiding red and processed meats at specific meals (i.e. breakfast and dinner), cardiometabolic profiles and ultimately chronic disease risk could be improved. Lunch seemed to be a less important meal in terms of food-biomarker associations.

Entities:  

Keywords:  Cardiometabolic biomarkers; Chrono-nutrition; Fruits and vegetables; Meals; Red and processed meat; Refined grains; Whole grains

Mesh:

Substances:

Year:  2019        PMID: 31230610     DOI: 10.1017/S000711451900151X

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  3 in total

Review 1.  Modulation of the Gut Microbiota by Olive Oil Phenolic Compounds: Implications for Lipid Metabolism, Immune System, and Obesity.

Authors:  Marta Farràs; Laura Martinez-Gili; Kevin Portune; Sara Arranz; Gary Frost; Mireia Tondo; Francisco Blanco-Vaca
Journal:  Nutrients       Date:  2020-07-23       Impact factor: 5.717

2.  The Obesity-Related Dietary Pattern Is Associated with Higher Risk of Sleep Disorders: A Cross-Sectional Study from NHANES.

Authors:  Shanze Wang; Chaonan Fan; Yingying Zhu; Xijia Tang; Li Ling
Journal:  Nutrients       Date:  2022-09-26       Impact factor: 6.706

3.  Face Validity of Observed Meal Patterns Reported with 7-Day Diet Diaries in a Large Population-Based Cohort Using Diurnal Variation in Concentration Biomarkers of Dietary Intake.

Authors:  Marleen A H Lentjes; Linda M Oude Griep; Angela A Mulligan; Scott Montgomery; Nick J Wareham; Kay-Tee Khaw
Journal:  Nutrients       Date:  2022-01-06       Impact factor: 6.706

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.