Abstract

Abstract Objective To assess the prospective associations between consumption of ultra-processed foods (UPF) and the risk of cardiovascular diseases. Methods 105159 participants aged at least 18 years (median age 41.5 years) from the French NutriNet-Santé cohort (2009-2018) were included. Dietary intakes were collected using repeated 24 hour dietary records, designed to register participants’ usual consumption for 3300 different food items, and categorized according to their degree of processing by the NOVA classification. Associations between UPF intake and risk of cardiovascular, coronary heart, and cerebrovascular diseases assessed by multivariable Cox proportional hazard models, adjusted for known risk factors. Results UPF intake was associated with higher cardiovascular disease risk (n = 1409 cases; HR for an absolute increment of 10 in the percentage of UPF = 1.12(1.05-1.20); P = 0.0008), coronary heart disease risk (n = 665 cases; HR = 1.13(1.02-1.24); P = 0.02), and cerebrovascular disease risk (n = 829 cases; HR = 1.11(1.01-1.22); P = 0.02). These results remained statistically significant after adjustment for several markers of the nutritional quality of the diet (saturated fatty acids, sodium and sugar intakes, dietary fiber or a Healthy pattern derived by principal component analysis) and after a large range of sensitivity analyses. Conclusions In this large observational prospective study, higher consumption of UPF was associated with higher risks of cardiovascular, coronary heart, and cerebrovascular diseases. These results need to be confirmed in other populations and settings, and causality remains to be established. Key messages The consumption of ultra-processed food is associated with an increased risk of cardiovascular diseases. As the French Public Helath agency recommends, their consumption should be limited. Nutritional composition, food additives, contact materials, or neoformed contaminants might play a role in these associations and further studies are needed to understand their relative contribution.

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