Dietary patterns and predicted 10-year cardiovascular disease risk in a multiethnic Asian population |
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| Affiliation: | 1. Saw Swee Hock School of Public Health, National University of Singapore, 117549, Singapore;2. School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, 6102, Australia;3. Department of Nutrition and Exercise Sciences and Epidemiology, Milken Institute School of Public Health, George Washington University, Washington DC, 20052, USA;4. Singapore Institute for Clinical Sciences (SICS), Brenner Centre for Molecular Medicine, Agency for Science, Technology, and Research (A1STAR), 117609, Singapore;1. Department of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico;2. Department of Nephrology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico;3. Department of Molecular Biology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico;1. Student Research Committee, Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran;2. Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran;3. Consultant Haematologist and Senior Lecturer, Department of Haematology and Blood Transfusion, Faculty of Clinical Science, College of Medicine of the University of Lagos, Nigeria;4. Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran;5. Pediatrics Gastroenterology, Department of Pediatrics, School of Medicine Children''s Medical Center, Tehran University of Medical Sciences, Tehran, Iran;6. Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran;7. Department of Biorepository, Biomedical Research Administration, King Fahad Medical City, Riyadh, Saudi Arabia;8. College of Medicine, Alfaisal University, Riyadh, Saudi Arabia;9. College of Graduate Health Sciences, University of Tennessee Health Science Center, Memphis, TN, USA;1. Department of Experimental and Clinical Medicine, University of Florence, Italy;2. Unit of Clinical Nutrition, Careggi University Hospital, Florence, Italy;1. Public Health Nutrition Program, School of Public Health, University of São Paulo, Avenida Doutor Arnaldo 715, São Paulo, 01246-904, Brazil;2. Department of Nutrition, School of Public Health, University of São Paulo, Avenida Doutor Arnaldo 715, São Paulo, 01246-904, Brazil;3. Departamento de Medicina Preventiva, Faculdade de Medicina FMUSP, Universidade de São Paulo, Avenida Doutor Arnaldo 455, São Paulo, 01246-903, Brazil;4. Postgraduate Program in Epidemiology, School of Medicine, Federal University of Pelotas, Rua Marechal Deodoro 1160, Pelotas, 96020-220, Brazil;5. Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, 70112, USA;1. 2nd Department of Internal Medicine, Medical Faculty of Charles University and University Hospital, Pilsen, Czech Republic;2. Biomedical Center, Medical Faculty of Charles University, Pilsen, Czech Republic;3. Centre for Cardiovascular Prevention, First Faculty of Medicine, Charles, University and Thomayer Hospital, Prague, Czech Republic;4. Laboratory of Immunochemical Diagnostics, University Hospital, Pilsen, Czech Republic |
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| Abstract: | Background and aimsStudies examining associations between dietary patterns and Framingham risk score (FRS) and predicted 10-year cardiovascular diseases (CVD) risk in an Asian population are lacking. This study aimed to identify a posteriori dietary patterns across three major ethnic groups in Singapore and ascertain their associations with locally modified FRS and predicted 10-year CVD risk.Methods and resultsThis cross-sectional study included 8594 Singapore residents (aged 21–75 years) from the Singapore Multi-Ethnic Cohort. Data on sociodemographic and lifestyle factors were collected via questionnaires. Food consumption was assessed using a validated Food Frequency Questionnaire. Dietary patterns were identified using principal component analysis and associations with CVD risk factors, FRS and predicted CVD risk (%) were analysed using multiple linear and logistic regression. Four dietary patterns emerged that explained 25.6% of variance. The ‘processed food and sugar-sweetened beverages’ pattern was significantly associated with higher FRS (β: 0.13; 95% CI: 0.04, 0.23), while the ‘ethnic breads, legumes and nuts’ (β: 0.13; 95% CI: 0.22, ?0.04) and ‘whole grains, fruit and dairy’ (β: 0.17; 95% CI: 0.24, ?0.10) patterns were significantly associated with lower FRS. The ‘meat and vegetables’ pattern was not significantly associated with FRS. Increased adherence to the ‘whole grains, fruit and dairy’ pattern was associated with lower odds of having predicted CVD risk of ≥10% (p-trend: 0.03).ConclusionAdherence to the ‘ethnic breads, legumes and nuts’ and ‘whole grains, fruit and dairy’ patterns was associated with a lower predicted CVD risk, and an inverse association for the ‘processed food and sugar-sweetened beverages’ pattern in an Asian population. These findings can inform the development of culturally sensitive dietary interventions to prevent CVD. |
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| Keywords: | Asian Dietary patterns Adults Framingham scores Cardiovascular risk |
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