Browsing by Author "Dehghan, M"
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Item Associations of cereal grains intake with cardiovascular disease and mortality across 21 countries in prospective urban and rural epidemiology study: Prospective cohort study(BMJ Publishing Group, 2021) Puoane, T.R.; Swaminathan, S; Dehghan, MObjective To evaluate the association between intakes of refined grains, whole grains, and white rice with cardiovascular disease, total mortality, blood lipids, and blood pressure in the Prospective Urban and Rural Epidemiology (PURE) study. Design Prospective cohort study. setting PURE study in 21 countries. ParticiPants 148 858 participants with median follow-up of 9.5 years. exPOsures Country specific validated food frequency questionnaires were used to assess intakes of refined grains, whole grains, and white rice. Main OutcOMe Measure Composite of mortality or major cardiovascular events (defined as death from cardiovascular causes, nonfatal myocardial infarction, stroke, or heart failure). Hazard ratios were estimated for associations of grain intakes with mortality, major cardiovascular events, and their composite by using multivariable Cox frailty models with random intercepts to account for clustering by centre. results Analyses were based on 137 130 participants after exclusion of those with baseline cardiovascular disease. During follow-up, 9.2% (n=12 668) of these participants had a composite outcome event.Item Ultra-processed foods and mortality: Analysis from the prospective urban and rural epidemiology study(Oxford University Press, 2022) Puoane, T; Mente, A; Dehghan, MThis analysis includes 138,076 participants without a history of CVD between the ages of 35 and 70 y living on 5 continents, with a median follow-up of 10.2 y. We used country-specific validated food-frequency questionnaires to determine individuals’ food intake. We classified foods and beverages based on the NOVA classification into UPFs. The primary outcome was total mortality (CV and non-CV mortality) and secondary outcomes were incident major cardiovascular events. We calculated hazard ratios using multivariable Cox frailty models and evaluated the association of UPFs with total mortality, CV mortality, non-CV mortality, and major CVD events.