Dataset Information

Associations of cereal grains intake with cardiovascular disease and mortality across 21 countries in Prospective Urban and Rural Epidemiology study: prospective cohort study.

ABSTRACT:

Objective

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, non-fatal 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. The highest category of intake of refined grains (?350 g/day or about 7 servings/day) was associated with higher risk of total mortality (hazard ratio 1.27, 95% confidence interval 1.11 to 1.46; P for trend=0.004), major cardiovascular disease events (1.33, 1.16 to 1.52; P for trend<0.001), and their composite (1.28, 1.15 to 1.42; P for trend<0.001) compared with the lowest category of intake (<50 g/day). Higher intakes of refined grains were associated with higher systolic blood pressure. No significant associations were found between intakes of whole grains or white rice and health outcomes.

Conclusion

High intake of refined grains was associated with higher risk of mortality and major cardiovascular disease events. Globally, lower consumption of refined grains should be considered.

SUBMITTER: Swaminathan S

PROVIDER: S-EPMC7856570 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Associations of cereal grains intake with cardiovascular disease and mortality across 21 countries in Prospective Urban and Rural Epidemiology study: prospective cohort study.

Swaminathan Sumathi S Dehghan Mahshid M Raj John Michael JM Thomas Tinku T Rangarajan Sumathy S Jenkins David D Mony Prem P Mohan Viswanathan V Lear Scott A SA Avezum Alvaro A Lopez-Jaramillo Patricio P Rosengren Annika A Lanas Fernando F AlHabib Khalid F KF Dans Antonio A Keskinler Mirac Vural MV Puoane Thandi T Soman Biju B Wei Li L Zatonska Katarzyna K Diaz Rafael R Ismail Noorhassim N Chifamba Jephat J Kelishadi Roya R Yusufali Afzalhussein A Khatib Rasha R Xiaoyun Liu L Bo Hu H Iqbal Romaina R Yusuf Rita R Yeates Karen K Teo Koon K Yusuf Salim S

BMJ (Clinical research ed.) 20210203

<h4>Objective</h4>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.<h4>Design</h4>Prospective cohort study.<h4>Setting</h4>PURE study in 21 countries.<h4>Participants</h4>148 858 participants with median follow-up of 9.5 years.<h4>Exposures</h4>Country specific validated food frequency questionnaires were used to as ...[more]

PMID: 33536317

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Dataset Information

Associations of cereal grains intake with cardiovascular disease and mortality across 21 countries in Prospective Urban and Rural Epidemiology study: prospective cohort study.

Objective

Design

Setting

Participants

Exposures

Main outcome measure

Results

Conclusion

Publications

Associations of cereal grains intake with cardiovascular disease and mortality across 21 countries in Prospective Urban and Rural Epidemiology study: prospective cohort study.

Similar Datasets

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