IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0175149.html
   My bibliography  Save this article

Etiologic effects and optimal intakes of foods and nutrients for risk of cardiovascular diseases and diabetes: Systematic reviews and meta-analyses from the Nutrition and Chronic Diseases Expert Group (NutriCoDE)

Author

Listed:
  • Renata Micha
  • Masha L Shulkin
  • Jose L Peñalvo
  • Shahab Khatibzadeh
  • Gitanjali M Singh
  • Mayuree Rao
  • Saman Fahimi
  • John Powles
  • Dariush Mozaffarian

Abstract

Background: Dietary habits are major contributors to coronary heart disease, stroke, and diabetes. However, comprehensive evaluation of etiologic effects of dietary factors on cardiometabolic outcomes, their quantitative effects, and corresponding optimal intakes are not well-established. Objective: To systematically review the evidence for effects of dietary factors on cardiometabolic diseases, including comprehensively assess evidence for causality; estimate magnitudes of etiologic effects; evaluate heterogeneity and potential for bias in these etiologic effects; and determine optimal population intake levels. Methods: We utilized Bradford-Hill criteria to assess probable or convincing evidence for causal effects of multiple diet-cardiometabolic disease relationships. Etiologic effects were quantified from published or de novo meta-analyses of prospective studies or randomized clinical trials, incorporating standardized units, dose-response estimates, and heterogeneity by age and other characteristics. Potential for bias was assessed in validity analyses. Optimal intakes were determined by levels associated with lowest disease risk. Results: We identified 10 foods and 7 nutrients with evidence for causal cardiometabolic effects, including protective effects of fruits, vegetables, beans/legumes, nuts/seeds, whole grains, fish, yogurt, fiber, seafood omega-3s, polyunsaturated fats, and potassium; and harms of unprocessed red meats, processed meats, sugar-sweetened beverages, glycemic load, trans-fats, and sodium. Proportional etiologic effects declined with age, but did not generally vary by sex. Established optimal population intakes were generally consistent with observed national intakes and major dietary guidelines. In validity analyses, the identified effects of individual dietary components were similar to quantified effects of dietary patterns on cardiovascular risk factors and hard endpoints. Conclusions: These novel findings provide a comprehensive summary of causal evidence, quantitative etiologic effects, heterogeneity, and optimal intakes of major dietary factors for cardiometabolic diseases, informing disease impact estimation and policy planning and priorities.

Suggested Citation

  • Renata Micha & Masha L Shulkin & Jose L Peñalvo & Shahab Khatibzadeh & Gitanjali M Singh & Mayuree Rao & Saman Fahimi & John Powles & Dariush Mozaffarian, 2017. "Etiologic effects and optimal intakes of foods and nutrients for risk of cardiovascular diseases and diabetes: Systematic reviews and meta-analyses from the Nutrition and Chronic Diseases Expert Group," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-25, April.
  • Handle: RePEc:plo:pone00:0175149
    DOI: 10.1371/journal.pone.0175149
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0175149
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0175149&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0175149?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    2. Nicola Orsini & Rino Bellocco & Sander Greenland, 2006. "Generalized least squares for trend estimation of summarized dose–response data," Stata Journal, StataCorp LP, vol. 6(1), pages 40-57, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Brenda Robles & Tony Kuo & Courtney S. Thomas Tobin, 2021. "What Are the Relationships between Psychosocial Community Characteristics and Dietary Behaviors in a Racially/Ethnically Diverse Urban Population in Los Angeles County?," IJERPH, MDPI, vol. 18(18), pages 1-18, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guochao Zhong & Yi Wang & Yong Zhang & Jeff Jianfei Guo & Yong Zhao, 2015. "Smoking Is Associated with an Increased Risk of Dementia: A Meta-Analysis of Prospective Cohort Studies with Investigation of Potential Effect Modifiers," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-23, March.
    2. Aliasghar Ahmad Kiadaliri & Johan Jarl & Georgios Gavriilidis & Ulf-G Gerdtham, 2013. "Alcohol Drinking Cessation and the Risk of Laryngeal and Pharyngeal Cancers: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-10, March.
    3. Zhengtao Liu & Huaijun Ning & Shuping Que & Linlin Wang & Xue Qin & Tao Peng, 2014. "Complex Association between Alanine Aminotransferase Activity and Mortality in General Population: A Systematic Review and Meta-Analysis of Prospective Studies," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-19, March.
    4. Changlin Han & Yangqun Liu & Xiao Gong & Xiaohua Ye & Junli Zhou, 2019. "Relationship between Secondhand Smoke Exposure and Depressive Symptoms: A Systematic Review and Dose–Response Meta-Analysis," IJERPH, MDPI, vol. 16(8), pages 1-14, April.
    5. Yu-Fei Zhang & Wei-Wu Shi & Hong-Fang Gao & Li Zhou & An-Ji Hou & Yu-Hao Zhou, 2014. "Folate Intake and the Risk of Breast Cancer: A Dose-Response Meta-Analysis of Prospective Studies," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-11, June.
    6. Xiaohua Ye & Jinjian Fu & Yi Yang & Yanhui Gao & Li Liu & Sidong Chen, 2013. "Frequency-Risk and Duration-Risk Relationships between Aspirin Use and Gastric Cancer: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-8, July.
    7. Bo Zhou & Jing Liu & Ze-Mu Wang & Tao Xi, 2012. "C-Reactive Protein, Interleukin 6 and Lung Cancer Risk: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-7, August.
    8. Zhengtao Liu & Shuping Que & Huaijun Ning & Linlin Wang & Tao Peng, 2013. "Elevated Alanine Aminotransferase Is Strongly Associated with Incident Metabolic Syndrome: A Meta-Analysis of Prospective Studies," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-11, December.
    9. Junna Wang & Dandan Zhang & Rongzhong Huang & Xingsheng Li & Wenxiang Huang, 2017. "Gamma-glutamyltransferase and risk of cardiovascular mortality: A dose-response meta-analysis of prospective cohort studies," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-19, February.
    10. Lin Zhang & Xing-Huan Wang & Xin-Min Zheng & Tong-Zu Liu & Wei-Bin Zhang & Hang Zheng & Mi-Feng Chen, 2015. "Maternal Gestational Smoking, Diabetes, Alcohol Drinking, Pre-Pregnancy Obesity and the Risk of Cryptorchidism: A Systematic Review and Meta-Analysis of Observational Studies," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-17, March.
    11. Ran Cui & Zhu-Qing Liu & Qing Xu, 2014. "Blood α-Tocopherol, γ-Tocopherol Levels and Risk of Prostate Cancer: A Meta-Analysis of Prospective Studies," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-7, March.
    12. Angel M. Dzhambov & Peter Lercher, 2019. "Road Traffic Noise Exposure and Depression/Anxiety: An Updated Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 16(21), pages 1-22, October.
    13. Xinhua Qu & Fangchun Jin & Yongqiang Hao & Huiwu Li & Tingting Tang & Hao Wang & Weili Yan & Kerong Dai, 2013. "Magnesium and the Risk of Cardiovascular Events: A Meta-Analysis of Prospective Cohort Studies," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-13, March.
    14. Xianying Min & Chao Li & Yan Yan, 2021. "Parental Age and the Risk of ADHD in Offspring: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 18(9), pages 1-14, May.
    15. İlkay Unay-Gailhard & Mark A. Brennen, 2022. "How digital communications contribute to shaping the career paths of youth: a review study focused on farming as a career option," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 39(4), pages 1491-1508, December.
    16. Ali, Mumtaz & Prasad, Ramendra & Xiang, Yong & Deo, Ravinesh C., 2020. "Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    17. Mahin Ghafari & Vali Baigi & Zahra Cheraghi & Amin Doosti-Irani, 2016. "The Prevalence of Asymptomatic Bacteriuria in Iranian Pregnant Women: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-10, June.
    18. Elizabeth T Cafiero-Fonseca & Andrew Stawasz & Sydney T Johnson & Reiko Sato & David E Bloom, 2017. "The full benefits of adult pneumococcal vaccination: A systematic review," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-23, October.
    19. Santos Urbina & Sofía Villatoro & Jesús Salinas, 2021. "Self-Regulated Learning and Technology-Enhanced Learning Environments in Higher Education: A Scoping Review," Sustainability, MDPI, vol. 13(13), pages 1-12, June.
    20. Oded Berger-Tal & Alison L Greggor & Biljana Macura & Carrie Ann Adams & Arden Blumenthal & Amos Bouskila & Ulrika Candolin & Carolina Doran & Esteban Fernández-Juricic & Kiyoko M Gotanda & Catherine , 2019. "Systematic reviews and maps as tools for applying behavioral ecology to management and policy," Behavioral Ecology, International Society for Behavioral Ecology, vol. 30(1), pages 1-8.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0175149. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.