The Impact of Dietary and Metabolic Risk Factors on Cardiovascular Diseases and Type 2 Diabetes Mortality in Brazil
Trends in food availability and metabolic risk factors in Brazil suggest a shift toward unhealthy dietary patterns and increased cardiometabolic disease risk, yet little is known about the impact of dietary and metabolic risk factors on cardiometabolic mortality in Brazil. Based on data from Global...
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Published in | PloS one Vol. 11; no. 3; p. e0151503 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
18.03.2016
Public Library of Science (PLoS) |
Subjects | |
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Abstract | Trends in food availability and metabolic risk factors in Brazil suggest a shift toward unhealthy dietary patterns and increased cardiometabolic disease risk, yet little is known about the impact of dietary and metabolic risk factors on cardiometabolic mortality in Brazil.
Based on data from Global Burden of Disease (GBD) Study, we used comparative risk assessment to estimate the burden of 11 dietary and 4 metabolic risk factors on mortality due to cardiovascular diseases and diabetes in Brazil in 2010. Information on national diets and metabolic risks were obtained from the Brazilian Household Budget Survey, the Food and Agriculture Organization database, and large observational studies including Brazilian adults. Relative risks for each risk factor were obtained from meta-analyses of randomized trials or prospective cohort studies; and disease-specific mortality from the GBD 2010 database. We quantified uncertainty using probabilistic simulation analyses, incorporating uncertainty in dietary and metabolic data and relative risks by age and sex. Robustness of findings was evaluated by sensitivity to varying feasible optimal levels of each risk factor.
In 2010, high systolic blood pressure (SBP) and suboptimal diet were the largest contributors to cardiometabolic deaths in Brazil, responsible for 214,263 deaths (95% uncertainty interval [UI]: 195,073 to 233,936) and 202,949 deaths (95% UI: 194,322 to 211,747), respectively. Among individual dietary factors, low intakes of fruits and whole grains and high intakes of sodium were the largest contributors to cardiometabolic deaths. For premature cardiometabolic deaths (before age 70 years, representing 40% of cardiometabolic deaths), the leading risk factors were suboptimal diet (104,169 deaths; 95% UI: 99,964 to 108,002), high SBP (98,923 deaths; 95%UI: 92,912 to 104,609) and high body-mass index (BMI) (42,643 deaths; 95%UI: 40,161 to 45,111).
suboptimal diet, high SBP, and high BMI are major causes of cardiometabolic death in Brazil, informing priorities for policy initiatives. |
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AbstractList | Background Trends in food availability and metabolic risk factors in Brazil suggest a shift toward unhealthy dietary patterns and increased cardiometabolic disease risk, yet little is known about the impact of dietary and metabolic risk factors on cardiometabolic mortality in Brazil. Methods Based on data from Global Burden of Disease (GBD) Study, we used comparative risk assessment to estimate the burden of 11 dietary and 4 metabolic risk factors on mortality due to cardiovascular diseases and diabetes in Brazil in 2010. Information on national diets and metabolic risks were obtained from the Brazilian Household Budget Survey, the Food and Agriculture Organization database, and large observational studies including Brazilian adults. Relative risks for each risk factor were obtained from meta-analyses of randomized trials or prospective cohort studies; and disease-specific mortality from the GBD 2010 database. We quantified uncertainty using probabilistic simulation analyses, incorporating uncertainty in dietary and metabolic data and relative risks by age and sex. Robustness of findings was evaluated by sensitivity to varying feasible optimal levels of each risk factor. Results In 2010, high systolic blood pressure (SBP) and suboptimal diet were the largest contributors to cardiometabolic deaths in Brazil, responsible for 214,263 deaths (95% uncertainty interval [UI]: 195,073 to 233,936) and 202,949 deaths (95% UI: 194,322 to 211,747), respectively. Among individual dietary factors, low intakes of fruits and whole grains and high intakes of sodium were the largest contributors to cardiometabolic deaths. For premature cardiometabolic deaths (before age 70 years, representing 40% of cardiometabolic deaths), the leading risk factors were suboptimal diet (104,169 deaths; 95% UI: 99,964 to 108,002), high SBP (98,923 deaths; 95%UI: 92,912 to 104,609) and high body-mass index (BMI) (42,643 deaths; 95%UI: 40,161 to 45,111). Conclusion suboptimal diet, high SBP, and high BMI are major causes of cardiometabolic death in Brazil, informing priorities for policy initiatives. BackgroundTrends in food availability and metabolic risk factors in Brazil suggest a shift toward unhealthy dietary patterns and increased cardiometabolic disease risk, yet little is known about the impact of dietary and metabolic risk factors on cardiometabolic mortality in Brazil.MethodsBased on data from Global Burden of Disease (GBD) Study, we used comparative risk assessment to estimate the burden of 11 dietary and 4 metabolic risk factors on mortality due to cardiovascular diseases and diabetes in Brazil in 2010. Information on national diets and metabolic risks were obtained from the Brazilian Household Budget Survey, the Food and Agriculture Organization database, and large observational studies including Brazilian adults. Relative risks for each risk factor were obtained from meta-analyses of randomized trials or prospective cohort studies; and disease-specific mortality from the GBD 2010 database. We quantified uncertainty using probabilistic simulation analyses, incorporating uncertainty in dietary and metabolic data and relative risks by age and sex. Robustness of findings was evaluated by sensitivity to varying feasible optimal levels of each risk factor.ResultsIn 2010, high systolic blood pressure (SBP) and suboptimal diet were the largest contributors to cardiometabolic deaths in Brazil, responsible for 214,263 deaths (95% uncertainty interval [UI]: 195,073 to 233,936) and 202,949 deaths (95% UI: 194,322 to 211,747), respectively. Among individual dietary factors, low intakes of fruits and whole grains and high intakes of sodium were the largest contributors to cardiometabolic deaths. For premature cardiometabolic deaths (before age 70 years, representing 40% of cardiometabolic deaths), the leading risk factors were suboptimal diet (104,169 deaths; 95% UI: 99,964 to 108,002), high SBP (98,923 deaths; 95%UI: 92,912 to 104,609) and high body-mass index (BMI) (42,643 deaths; 95%UI: 40,161 to 45,111).Conclusionsuboptimal diet, high SBP, and high BMI are major causes of cardiometabolic death in Brazil, informing priorities for policy initiatives. Trends in food availability and metabolic risk factors in Brazil suggest a shift toward unhealthy dietary patterns and increased cardiometabolic disease risk, yet little is known about the impact of dietary and metabolic risk factors on cardiometabolic mortality in Brazil. Based on data from Global Burden of Disease (GBD) Study, we used comparative risk assessment to estimate the burden of 11 dietary and 4 metabolic risk factors on mortality due to cardiovascular diseases and diabetes in Brazil in 2010. Information on national diets and metabolic risks were obtained from the Brazilian Household Budget Survey, the Food and Agriculture Organization database, and large observational studies including Brazilian adults. Relative risks for each risk factor were obtained from meta-analyses of randomized trials or prospective cohort studies; and disease-specific mortality from the GBD 2010 database. We quantified uncertainty using probabilistic simulation analyses, incorporating uncertainty in dietary and metabolic data and relative risks by age and sex. Robustness of findings was evaluated by sensitivity to varying feasible optimal levels of each risk factor. In 2010, high systolic blood pressure (SBP) and suboptimal diet were the largest contributors to cardiometabolic deaths in Brazil, responsible for 214,263 deaths (95% uncertainty interval [UI]: 195,073 to 233,936) and 202,949 deaths (95% UI: 194,322 to 211,747), respectively. Among individual dietary factors, low intakes of fruits and whole grains and high intakes of sodium were the largest contributors to cardiometabolic deaths. For premature cardiometabolic deaths (before age 70 years, representing 40% of cardiometabolic deaths), the leading risk factors were suboptimal diet (104,169 deaths; 95% UI: 99,964 to 108,002), high SBP (98,923 deaths; 95%UI: 92,912 to 104,609) and high body-mass index (BMI) (42,643 deaths; 95%UI: 40,161 to 45,111). suboptimal diet, high SBP, and high BMI are major causes of cardiometabolic death in Brazil, informing priorities for policy initiatives. Background Trends in food availability and metabolic risk factors in Brazil suggest a shift toward unhealthy dietary patterns and increased cardiometabolic disease risk, yet little is known about the impact of dietary and metabolic risk factors on cardiometabolic mortality in Brazil. Methods Based on data from Global Burden of Disease (GBD) Study, we used comparative risk assessment to estimate the burden of 11 dietary and 4 metabolic risk factors on mortality due to cardiovascular diseases and diabetes in Brazil in 2010. Information on national diets and metabolic risks were obtained from the Brazilian Household Budget Survey, the Food and Agriculture Organization database, and large observational studies including Brazilian adults. Relative risks for each risk factor were obtained from meta-analyses of randomized trials or prospective cohort studies; and disease-specific mortality from the GBD 2010 database. We quantified uncertainty using probabilistic simulation analyses, incorporating uncertainty in dietary and metabolic data and relative risks by age and sex. Robustness of findings was evaluated by sensitivity to varying feasible optimal levels of each risk factor. Results In 2010, high systolic blood pressure (SBP) and suboptimal diet were the largest contributors to cardiometabolic deaths in Brazil, responsible for 214,263 deaths (95% uncertainty interval [UI]: 195,073 to 233,936) and 202,949 deaths (95% UI: 194,322 to 211,747), respectively. Among individual dietary factors, low intakes of fruits and whole grains and high intakes of sodium were the largest contributors to cardiometabolic deaths. For premature cardiometabolic deaths (before age 70 years, representing 40% of cardiometabolic deaths), the leading risk factors were suboptimal diet (104,169 deaths; 95% UI: 99,964 to 108,002), high SBP (98,923 deaths; 95%UI: 92,912 to 104,609) and high body-mass index (BMI) (42,643 deaths; 95%UI: 40,161 to 45,111). Conclusion suboptimal diet, high SBP, and high BMI are major causes of cardiometabolic death in Brazil, informing priorities for policy initiatives. Trends in food availability and metabolic risk factors in Brazil suggest a shift toward unhealthy dietary patterns and increased cardiometabolic disease risk, yet little is known about the impact of dietary and metabolic risk factors on cardiometabolic mortality in Brazil. Based on data from Global Burden of Disease (GBD) Study, we used comparative risk assessment to estimate the burden of 11 dietary and 4 metabolic risk factors on mortality due to cardiovascular diseases and diabetes in Brazil in 2010. Information on national diets and metabolic risks were obtained from the Brazilian Household Budget Survey, the Food and Agriculture Organization database, and large observational studies including Brazilian adults. Relative risks for each risk factor were obtained from meta-analyses of randomized trials or prospective cohort studies; and disease-specific mortality from the GBD 2010 database. We quantified uncertainty using probabilistic simulation analyses, incorporating uncertainty in dietary and metabolic data and relative risks by age and sex. Robustness of findings was evaluated by sensitivity to varying feasible optimal levels of each risk factor. In 2010, high systolic blood pressure (SBP) and suboptimal diet were the largest contributors to cardiometabolic deaths in Brazil, responsible for 214,263 deaths (95% uncertainty interval [UI]: 195,073 to 233,936) and 202,949 deaths (95% UI: 194,322 to 211,747), respectively. Among individual dietary factors, low intakes of fruits and whole grains and high intakes of sodium were the largest contributors to cardiometabolic deaths. For premature cardiometabolic deaths (before age 70 years, representing 40% of cardiometabolic deaths), the leading risk factors were suboptimal diet (104,169 deaths; 95% UI: 99,964 to 108,002), high SBP (98,923 deaths; 95%UI: 92,912 to 104,609) and high body-mass index (BMI) (42,643 deaths; 95%UI: 40,161 to 45,111). suboptimal diet, high SBP, and high BMI are major causes of cardiometabolic death in Brazil, informing priorities for policy initiatives. |
Audience | Academic |
Author | Micha, Renata Singh, Gitanjali Khatibzadeh, Shahab Danaei, Goodarz Fahimi, Saman Monteiro, Carlos A Afshin, Ashkan Mozaffarian, Dariush Louzada, Maria L C Ezzati, Majid Otto, Marcia C de Oliveira Sichieri, Rosely |
AuthorAffiliation | 5 Departament of Epidemiology, University of the State of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil 1 Division of Epidemiology, Human Genetics and Environmental Sciences, the University of Texas Health Science Center, School of Public Health, Houston, Texas, United States of America 7 Faculty of Medicine, School of Public Health, Imperial College of London, London, United Kingdom 6 Department of Nutrition, School of Public Health, University of São Paulo, Sao Paulo, Sao Paulo, Brazil 3 Department of Global Health and Population, Harvard School of Public Health, Boston, Massachusetts, United States of America 4 Department of Food Science and Human Nutrition, Agricultural University of Athens, Athens, Greece 2 Friedman School of Nutrition Science & Policy, Tufts University, Boston, Massachusetts, United States of America College of Tropical Agriculture and Human Resources, University of Hawaii, UNITED STATES |
AuthorAffiliation_xml | – name: 1 Division of Epidemiology, Human Genetics and Environmental Sciences, the University of Texas Health Science Center, School of Public Health, Houston, Texas, United States of America – name: 4 Department of Food Science and Human Nutrition, Agricultural University of Athens, Athens, Greece – name: 5 Departament of Epidemiology, University of the State of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil – name: 7 Faculty of Medicine, School of Public Health, Imperial College of London, London, United Kingdom – name: 6 Department of Nutrition, School of Public Health, University of São Paulo, Sao Paulo, Sao Paulo, Brazil – name: College of Tropical Agriculture and Human Resources, University of Hawaii, UNITED STATES – name: 3 Department of Global Health and Population, Harvard School of Public Health, Boston, Massachusetts, United States of America – name: 2 Friedman School of Nutrition Science & Policy, Tufts University, Boston, Massachusetts, United States of America |
Author_xml | – sequence: 1 givenname: Marcia C de Oliveira surname: Otto fullname: Otto, Marcia C de Oliveira organization: Division of Epidemiology, Human Genetics and Environmental Sciences, the University of Texas Health Science Center, School of Public Health, Houston, Texas, United States of America – sequence: 2 givenname: Ashkan surname: Afshin fullname: Afshin, Ashkan organization: Friedman School of Nutrition Science & Policy, Tufts University, Boston, Massachusetts, United States of America – sequence: 3 givenname: Renata surname: Micha fullname: Micha, Renata organization: Department of Food Science and Human Nutrition, Agricultural University of Athens, Athens, Greece – sequence: 4 givenname: Shahab surname: Khatibzadeh fullname: Khatibzadeh, Shahab organization: Department of Global Health and Population, Harvard School of Public Health, Boston, Massachusetts, United States of America – sequence: 5 givenname: Saman surname: Fahimi fullname: Fahimi, Saman organization: Department of Global Health and Population, Harvard School of Public Health, Boston, Massachusetts, United States of America – sequence: 6 givenname: Gitanjali surname: Singh fullname: Singh, Gitanjali organization: Friedman School of Nutrition Science & Policy, Tufts University, Boston, Massachusetts, United States of America – sequence: 7 givenname: Goodarz surname: Danaei fullname: Danaei, Goodarz organization: Department of Global Health and Population, Harvard School of Public Health, Boston, Massachusetts, United States of America – sequence: 8 givenname: Rosely surname: Sichieri fullname: Sichieri, Rosely organization: Departament of Epidemiology, University of the State of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil – sequence: 9 givenname: Carlos A surname: Monteiro fullname: Monteiro, Carlos A organization: Department of Nutrition, School of Public Health, University of São Paulo, Sao Paulo, Sao Paulo, Brazil – sequence: 10 givenname: Maria L C surname: Louzada fullname: Louzada, Maria L C organization: Department of Nutrition, School of Public Health, University of São Paulo, Sao Paulo, Sao Paulo, Brazil – sequence: 11 givenname: Majid surname: Ezzati fullname: Ezzati, Majid organization: Faculty of Medicine, School of Public Health, Imperial College of London, London, United Kingdom – sequence: 12 givenname: Dariush surname: Mozaffarian fullname: Mozaffarian, Dariush organization: Friedman School of Nutrition Science & Policy, Tufts University, Boston, Massachusetts, United States of America |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26990765$$D View this record in MEDLINE/PubMed |
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ContentType | Journal Article |
Contributor | Becker, Wulf Li, Yanping Baylin, Ana Guessous, Idris Orfanos, Philippos Sibai, Abla Mehio Abdollahi, Morteza Fahimi, Saman Andrews, Kathryn G Ahsan, Habibul Houshiar-Rad, Anahita Garriguet, Didier Hwalla, Nahla C Riley, Leanne M Huybrechts, Inge Naska, Androniki Jackson, Maria D Rao, Mayuree Enghardt Barbieri, Heléne Ginnela, Brahmam N V Barquera, Simon Lee, Hae-Jeung Monge-Rojas, Rafael A Sichieri, Rosely Fisberg, Regina M Castetbon, Katia Sánchez-Romero, Luz Maria Inoue, Manami Koksal, Eda Farzadfar, Farshad McGarvey, Stephen T Ezzati, Majid Pan, Wen-Harn Calleja, Neville Barennes, Hubert Chan, Mei Fen Ding, Eric L Simmala, Chansimaly Chen, Yu Haerpfer, Christian Abeyá Gilardon, Enrique Pekcan, Gulden A Templeton, Robert Panagiotakos, Demosthenes B Filipovic Hadziomeragic, Aida Bjerregaard, Peter Musaiger, Abdulrahman O Arambepola, Carukshi De Henauw, Stefaan Petrova, Stefka Capanzana, Mario V Szponar, Lucjan Engell, Rebecca E Al Nsour, Mohannad Abed Alfattah Wirojratana, Pattra Forsyth, Simon Chang, Hsing-Yi Lipoeto, Nur Indrawaty Kim, Cho |
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Copyright | COPYRIGHT 2016 Public Library of Science 2016 de Oliveira Otto et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2016 de Oliveira Otto et al 2016 de Oliveira Otto et al |
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Notes | Membership of the Global Burden of Diseases, Injuries, and Risk Factors Metabolic Risk Factors of Chronic Diseases Expert Group and Nutrition and Chronic Diseases Expert Group (NutriCoDE) is provided in the Acknowledgments. Competing Interests: Dr. Otto was supported by unrestricted educational grants from Bunge LLC and from Swiss Re. Dr. Mozaffarian reports ad hoc honoraria or consulting from Bunge, Haas Avocado Board, Nutrition Impact, Amarin, Astra Zeneca, Boston Heart Diagnostics, GOED, and Life Sciences Research Organization; and scientific advisory boards, Unilever North America and Elysium Health. Harvard University holds a patent, listing Dr. Mozaffarian as one of three co-inventors, for use of trans-palmitoleic acid to prevent and treat insulin resistance, type 2 diabetes, and related conditions. The other authors report no conflicts. There are no products in development or marketed products to declare. This does not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials, as detailed online in the guide for authors. Conceived and designed the experiments: MO AA DM GD ME GS RM SF. Analyzed the data: MO. Wrote the paper: MO. Revised and provided comments to the manuscript: AA RM SK SF GS RS CM ML ME DM. |
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References | WL Conde (ref4) 2014; 100 Ade M Souza (ref17) 2013; 47 MI Schmidt (ref5) 2011; 377 ref36 CA Monteiro (ref37) 2007; 97 SS Lim (ref10) 2013; 380 GM Singh (ref29) 2013; 8 RB Levy-Costa (ref32) 2005; 39 MI Schmidt (ref34) 2014; 6 ref1 M Ezzati (ref24) 2005; 2 D Chor (ref35) 2015; 10 SS Lim (ref8) 2012; 380 S Khatibzadeh (ref27) 2012; 125 WPT James (ref22) 2004 A Afshin (ref23) 2014; 100 GM Singh (ref26) 2015; 10 D Mozaffarian (ref20) 2010; 7 (ref16) 2011 A Afshin (ref28) 2013; 127 S Yusuf (ref21) 2004; 364 IN Bezerra (ref33) 2014; 13 G Stevens (ref25) 2008; 5 D Mozaffarian (ref19) 2006; 354 D Levy (ref39) 2012; 9 G Danaei (ref12) 2011; 377 F Hu (ref38) 2008 ref41 (ref7) 2008 K Lock (ref18) 2004 CJ Murray (ref31) 2013; 310 MM Finucane (ref14) 2011; 377 RV Picon (ref6) 2012; 7 F Farzadfar (ref13) 2011; 377 R Micha (ref9); 66 R Micha (ref15) 2012; 66 G Danaei (ref11) 2011; 378 J Paim (ref40) 2011; 377 RB Levy (ref2) 2012; 46 R Lozano (ref30) 2013; 380 AP Martins (ref3) 2013; 47 |
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Snippet | Trends in food availability and metabolic risk factors in Brazil suggest a shift toward unhealthy dietary patterns and increased cardiometabolic disease risk,... Background Trends in food availability and metabolic risk factors in Brazil suggest a shift toward unhealthy dietary patterns and increased cardiometabolic... BackgroundTrends in food availability and metabolic risk factors in Brazil suggest a shift toward unhealthy dietary patterns and increased cardiometabolic... Background Trends in food availability and metabolic risk factors in Brazil suggest a shift toward unhealthy dietary patterns and increased cardiometabolic... |
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SubjectTerms | Adult Adults Aged Aged, 80 and over Agriculture Biology and Life Sciences Blood Pressure Body mass Body Mass Index Brazil - epidemiology Cardiovascular disease Cardiovascular diseases Cardiovascular Diseases - metabolism Cardiovascular Diseases - mortality Cholesterol - blood Chronic illnesses Demographic aspects Diabetes mellitus Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - metabolism Diabetes Mellitus, Type 2 - mortality Diet Epidemiology Fatalities Feasibility studies Feeding Behavior Female Food Food availability Health risk assessment Health risks Heart diseases Humans Intakes Life assessment Male Medicine and Health Sciences Middle Aged Mortality Nutrition Obesity People and Places Prognosis Risk analysis Risk assessment Risk Assessment - methods Risk Factors Sensitivity analysis Sodium Systematic review Type 2 diabetes Uncertainty analysis United Kingdom |
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Title | The Impact of Dietary and Metabolic Risk Factors on Cardiovascular Diseases and Type 2 Diabetes Mortality in Brazil |
URI | https://www.ncbi.nlm.nih.gov/pubmed/26990765 https://www.proquest.com/docview/1774317120 https://pubmed.ncbi.nlm.nih.gov/PMC4798497 https://doaj.org/article/58d2af5b6fd44114af43322d0618a55e http://dx.doi.org/10.1371/journal.pone.0151503 |
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