Enric Sánchez1, Àngels Betriu2, Jordi Salas-Salvadó3,4, Reinald Pamplona5, Ferrán Barbé6,7, Francesc Purroy8, Cristina Farràs9, Elvira Fernández2, Carolina López-Cano1, Chadia Mizab1, Albert Lecube10,11. 1. Endocrinology and Nutrition Department, University Hospital Arnau de Vilanova, Obesity, Diabetes and Metabolism (ODIM) Research Group, IRBLleida, University of Lleida, Avda. Rovira Roure 80, 25198, Lleida, Catalonia, Spain. 2. Unit for the Detection and Treatment of Atherothrombotic Diseases (UDETMA V&R), University Hospital Arnau de Vilanova, Vascular and Renal Translational Research Group, IRBLleida, University of Lleida, Lleida, Catalonia, Spain. 3. Department of Human Nutrition Unit, Biochemistry and Biotechnology, Faculty of Medicine and Health Sciences, University Hospital of Sant Joan de Reus, IISPV, Rovira i Virgili University, Reus, Spain. 4. Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain. 5. Experimental Medicine Department, IRBLleida, University of Lleida, Lleida, Catalonia, Spain. 6. Respiratory Department, University Hospital Arnau de Vilanova-Santa María, Translational Research in Respiratory Medicine, IRBLleida, University of Lleida, Lleida, Catalonia, Spain. 7. Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), Madrid, Spain. 8. Stroke Unit, University Hospital Arnau de Vilanova, Clinical Neurosciences Group, IRBLleida, University of Lleida, Lleida, Catalonia, Spain. 9. Primary Health Care Unit, Lleida, Catalonia, Spain. 10. Endocrinology and Nutrition Department, University Hospital Arnau de Vilanova, Obesity, Diabetes and Metabolism (ODIM) Research Group, IRBLleida, University of Lleida, Avda. Rovira Roure 80, 25198, Lleida, Catalonia, Spain. alecube@gmail.com. 11. Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain. alecube@gmail.com.
Abstract
PURPOSE: Adherence to Mediterranean diet (MedDiet) and physical activity have been associated to lower cardiovascular risk and mortality. Our purpose was to test the modification of advanced glycation end-products (AGEs) as one of the underlying mechanisms explaining this relationship. METHODS: Cross-sectional study assessing the adherence to MedDiet (14-item Mediterranean Diet Adherence Screener) and physical activity (International Physical Activity Questionnaire short form) in 2646 middle-aged subjects without known cardiovascular disease and type 2 diabetes from the ILERVAS study. Skin autofluorescence (SAF), a non-invasive assessment of subcutaneous AGEs, was measured. Multivariable logistic regression models were done to study interactions and independent associations with a likelihood ratio test. RESULTS: Participants with a high adherence to MedDiet had lower SAF than those with low adherence (1.8 [IR 1.6; 2.1] vs. 2.0 [IR 1.7; 2.3] arbitrary units, p < 0.001), without differences according to categories of physical activity. There was an independent association between high adherence to MedDiet and the SAF values [OR 0.59 (0.37-0.94), p = 0.026]. When adherence to MedDiet was substituted by its individual food components, high intake of vegetables, fruits and nuts, and low intake of sugar-sweetened soft beverages were independently associated with a decreased SAF (p ≤ 0.045). No interaction between MedDiet and physical activity on SAF values was observed except for nuts consumption (p = 0.047). CONCLUSIONS: Adherence to the MedDiet, but not physical activity, was negatively associated to SAF measurements. This association can be explained by some typical food components of the MedDiet. The present study offers a better understanding of the plausible biological conditions underlying the prevention of cardiovascular disease with MedDiet. ClinTrials.gov identifier: NCT03228459.
PURPOSE: Adherence to Mediterranean diet (MedDiet) and physical activity have been associated to lower cardiovascular risk and mortality. Our purpose was to test the modification of advanced glycation end-products (AGEs) as one of the underlying mechanisms explaining this relationship. METHODS: Cross-sectional study assessing the adherence to MedDiet (14-item Mediterranean Diet Adherence Screener) and physical activity (International Physical Activity Questionnaire short form) in 2646 middle-aged subjects without known cardiovascular disease and type 2 diabetes from the ILERVAS study. Skin autofluorescence (SAF), a non-invasive assessment of subcutaneous AGEs, was measured. Multivariable logistic regression models were done to study interactions and independent associations with a likelihood ratio test. RESULTS:Participants with a high adherence to MedDiet had lower SAF than those with low adherence (1.8 [IR 1.6; 2.1] vs. 2.0 [IR 1.7; 2.3] arbitrary units, p < 0.001), without differences according to categories of physical activity. There was an independent association between high adherence to MedDiet and the SAF values [OR 0.59 (0.37-0.94), p = 0.026]. When adherence to MedDiet was substituted by its individual food components, high intake of vegetables, fruits and nuts, and low intake of sugar-sweetened soft beverages were independently associated with a decreased SAF (p ≤ 0.045). No interaction between MedDiet and physical activity on SAF values was observed except for nuts consumption (p = 0.047). CONCLUSIONS: Adherence to the MedDiet, but not physical activity, was negatively associated to SAF measurements. This association can be explained by some typical food components of the MedDiet. The present study offers a better understanding of the plausible biological conditions underlying the prevention of cardiovascular disease with MedDiet. ClinTrials.gov identifier: NCT03228459.
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