Red and processed meat intakes and cardiovascular disease and type 2 diabetes mellitus: An umbrella systematic review and assessment of causal relations using Bradford Hill’s criteria

References

• Abete, I., D. Romaguera, A. R. Vieira, A. Lopez de Munain, and T. Norat. 2014. Association between total, processed, red and white meat consumption and all-cause, CVD and IHD mortality: a meta-analysis of cohort studies. The British Journal of Nutrition 112 (5):762–75. doi: 10.1017/S000711451400124X.
   PubMed Web of Science ®Google Scholar
• Akesson, A., L. F. Andersen, A. G. Kristjánsdóttir, E. Roos, E. Trolle, E. Voutilainen, and E. Wirfält. 2013. Health effects associated with foods characteristic of the Nordic diet: a systematic literature review. Food Nutr Res 57:1–21.
   Web of Science ®Google Scholar
• An, R., J. Liu, and R. Liu. 2020. Pork consumption in relation to body weight and composition: a systematic review and meta-analysis. American Journal of Health Behavior 44 (4):513–25. doi: 10.5993/AJHB.44.4.12.
   PubMed Web of Science ®Google Scholar
• Arnett, D. K., R. S. Blumenthal, M. A. Albert, A. B. Buroker, Z. D. Goldberger, E. J. Hahn, C. D. Himmelfarb, A. Khera, D. Lloyd-Jones, J. W. McEvoy, Jr., Sr., et al. 2019. 2019 ACC/AHA guideline on the primary prevention of cardiovascular disease: a report of the american college of cardiology/american heart association task force on clinical practice guidelines. Circulation 140 (11):e596–e646.
   PubMed Web of Science ®Google Scholar
• Aromataris, E., R. Fernandez, C. M. Godfrey, C. Holly, H. Khalil, and P. Tungpunkom. 2015. Summarizing systematic reviews: methodological development, conduct and reporting of an umbrella review approach. International Journal of Evidence-Based Healthcare 13 (3):132–40. doi: 10.1097/XEB.0000000000000055.
   PubMed Web of Science ®Google Scholar
• Aslam, S, and P. Emmanuel. 2010. Formulating a researchable question: a critical step for facilitating good clinical research. Indian Journal of Sexually Transmitted Diseases and AIDS 31 (1):47–50. doi: 10.4103/0253-7184.69003.
   PubMedGoogle Scholar
• Aune, D., G. Ursin, and M. B. Veierød. 2009. Meat consumption and the risk of type 2 diabetes: a systematic review and meta-analysis of cohort studies. Diabetologia 52 (11):2277–87. doi: 10.1007/s00125-009-1481-x.
   PubMed Web of Science ®Google Scholar
• Bechthold, A., H. Boeing, C. Schwedhelm, G. Hoffmann, S. Knüppel, K. Iqbal, S. De Henauw, N. Michels, B. Devleesschauwer, S. Schlesinger, et al. 2019. Food groups and risk of coronary heart disease, stroke and heart failure: a systematic review and dose-response meta-analysis of prospective studies. Critical Reviews in Food Science and Nutrition 59 (7):1071–90. doi: 10.1080/10408398.2017.1392288.
   PubMed Web of Science ®Google Scholar
• Bendinelli, B., D. Palli, G. Masala, S. J. Sharp, M. B. Schulze, M. Guevara, A. D. van der, F. Sera, P. Amiano, B. Balkau, et al. 2013. Association between dietary meat consumption and incident type 2 diabetes: the EPIC-InterAct study. Diabetologia 56 (1):47–59.
   PubMed Web of Science ®Google Scholar
• Bergeron, N., S. Chiu, P. T. Williams, S. M. King, and R. M. Krauss. 2019. Effects of red meat, white meat, and nonmeat protein sources on atherogenic lipoprotein measures in the context of low compared with high saturated fat intake: a randomized controlled trial. The American Journal of Clinical Nutrition 110 (1):24–33. doi: 10.1093/ajcn/nqz035.
   PubMed Web of Science ®Google Scholar
• Beyerbach, J., J. Stadelmaier, G. Hoffmann, S. Balduzzi, N. Bröckelmann, and L. Schwingshackl. 2022. Evaluating concordance of bodies of evidence from randomized controlled trials, dietary intake, and biomarkers of intake in cohort studies: a meta-epidemiological study. Advances in Nutrition (Bethesda, Md.) 13 (1):48–65. doi: 10.1093/advances/nmab095.
   PubMed Web of Science ®Google Scholar
• Brown, A. W., S. Aslibekyan, D. Bier, R. Ferreira da Silva, A. Hoover, D. M. Klurfeld, E. Loken, E. Mayo-Wilson, N. Menachemi, G. Pavela, et al. 2021. Toward more rigorous and informative nutritional epidemiology: the rational space between dismissal and defense of the status quo. Critical Reviews in Food Science and Nutrition 1–18. doi: 10.1080/10408398.2021.1985427.
   PubMed Web of Science ®Google Scholar
• Brown, A. W., M. M. Bohan Brown, and D. B. Allison. 2013. Belief beyond the evidence: using the proposed effect of breakfast on obesity to show 2 practices that distort scientific evidence. The American Journal of Clinical Nutrition 98 (5):1298–308. doi: 10.3945/ajcn.113.064410.
   PubMed Web of Science ®Google Scholar
• Byers, T, and B. Lyle. 1999. The role of epidemiology in determining when evidence is sufficient to support nutrition recommendations. Summary statement. The American Journal of Clinical Nutrition 69 (6):1365s–7s. doi: 10.1093/ajcn/69.6.1365S.
   PubMed Web of Science ®Google Scholar
• Chan, D. S., R. Lau, D. Aune, R. Vieira, D. C. Greenwood, E. Kampman, and T. Norat. 2011. Red and processed meat and colorectal cancer incidence: meta-analysis of prospective studies. PLoS One 6 (6):e20456. doi: 10.1371/journal.pone.0020456.
   PubMed Web of Science ®Google Scholar
• Chen, G. C., D. B. Lv, Z. Pang, and Q. F. Liu. 2013. Red and processed meat consumption and risk of stroke: a meta-analysis of prospective cohort studies. European Journal of Clinical Nutrition 67 (1):91–5. doi: 10.1038/ejcn.2012.180.
   PubMed Web of Science ®Google Scholar
• Chudasama, Y. V., K. Khunti, C. L. Gillies, N. N. Dhalwani, M. J. Davies, T. Yates, and F. Zaccardi. 2020. Healthy lifestyle and life expectancy in people with multimorbidity in the UK Biobank: a longitudinal cohort study. PLoS Medicine 17 (9):e1003332. doi: 10.1371/journal.pmed.1003332.
   PubMed Web of Science ®Google Scholar
• Cross, A. J., J. R. Pollock, and S. A. Bingham. 2003. Haem, not protein or inorganic iron, is responsible for endogenous intestinal N-nitrosation arising from red meat. Cancer Research 63 (10):2358–60.
   PubMed Web of Science ®Google Scholar
• DGA 2015. U.S. Department of Health and Human Services and U.S. Department of Agriculture. 2015 – 2020 Dietary Guidelines for Americans. 8th ed. https://health.gov/our-work/food-nutrition/previous-dietary-guidelines/2015.
   Google Scholar
• DGA 2020. U.S. Department of Agriculture and U.S. Department of Health and Human Services. Dietary guidelines for Americans, 2020–2025. 9th ed. DietaryGuidelines.gov.
   Google Scholar
• Dyda, A., S. Stelzer-Braid, D. Adam, A. A. Chughtai, and C. R. MacIntyre. 2018. The association between acute flaccid myelitis (AFM) and Enterovirus D68 (EV-D68) - what is the evidence for causation? Eurosurveillance 23 (3):17–00310. doi: 10.2807/1560-7917.ES.2018.23.3.17-00310
   Web of Science ®Google Scholar
• Evert, A. B., M. Dennison, C. D. Gardner, W. T. Garvey, K. H. K. Lau, J. MacLeod, J. Mitri, R. F. Pereira, K. Rawlings, S. Robinson, Jr, et al. 2019. Nutrition therapy for adults with diabetes or prediabetes: a consensus report. Diabetes Care 42 (5):731–54. doi: 10.2337/dci19-0014.
   PubMed Web of Science ®Google Scholar
• Einarson, T. R., A. Acs, C. Ludwig, and U. H. Panton. 2018. Prevalence of cardiovascular disease in type 2 diabetes: A systematic literature review of scientific evidence from across the world in 2007-2017. Cardiovasc Diabetol 17 (1):83.
   PubMed Web of Science ®Google Scholar
• Fan, M., Y. Li, C. Wang, Z. Mao, W. Zhou, L. Zhang, X. Yang, S. Cui, and L. Li. 2019. Dietary protein consumption and the risk of type 2 diabetes: a dose-response meta-analysis of prospective studies. Nutrients 11 (11):2783. doi: 10.3390/nu11112783.
   Web of Science ®Google Scholar
• Farvid, M. S., M. C. Stern, T. Norat, S. Sasazuki, P. Vineis, M. P. Weijenberg, A. Wolk, K. Wu, B. W. Stewart, and E. Cho. 2018. Consumption of red and processed meat and breast cancer incidence: a systematic review and meta-analysis of prospective studies. International Journal of Cancer 143 (11):2787–99. doi: 10.1002/ijc.31848.
   PubMed Web of Science ®Google Scholar
• Feiveson, A. 2017. Explanation of the delta method. https://www.stata.com/support/faqs/statistics/delta-method/#.
   Google Scholar
• Fundora, J. B., P. Guha, D. R. Shores, M. Pammi, and A. Maheshwari. 2020. Intestinal dysbiosis and necrotizing enterocolitis: assessment for causality using Bradford Hill criteria. Pediatric Research 87 (2):235–48. doi: 10.1038/s41390-019-0482-9.
   PubMed Web of Science ®Google Scholar
• Förstermann, U. 2008. Oxidative stress in vascular disease: causes, defense mechanisms and potential therapies. Nature Clinical Practice. Cardiovascular Medicine 5 (6):338–49. doi: 10.1038/ncpcardio1211.
   PubMedGoogle Scholar
• Gascon, A., H. Jacques, S. Moorjani, Y. Deshaies, L. D. Brun, and P. Julien. 1996. Plasma lipoprotein profile and lipolytic activities in response to the substitution of lean white fish for other animal protein sources in premenopausal women. The American Journal of Clinical Nutrition 63 (3):315–21. doi: 10.1093/ajcn/63.3.315.
   PubMed Web of Science ®Google Scholar
• Gifford, C., L. O’Connor, W. Campbell, D. Woerner, and K. Belk. 2017. Broad and inconsistent muscle food classification is problematic for dietary guidance in the U.S. Nutrients 9 (9):1027. doi: 10.3390/nu9091027.
   Web of Science ®Google Scholar
• Guasch-Ferré, M., A. Satija, S. A. Blondin, M. Janiszewski, E. Emlen, L. E. O’Connor, W. W. Campbell, F. B. Hu, W. C. Willett, and M. J. Stampfer. 2019. Meta-analysis of randomized controlled trials of red meat consumption in comparison with various comparison diets on cardiovascular risk factors. Circulation 139 (15):1828–45. doi: 10.1161/CIRCULATIONAHA.118.035225.
   PubMed Web of Science ®Google Scholar
• He, F. J, and G. A. MacGregor. 2002. Effect of modest salt reduction on blood pressure: a meta-analysis of randomized trials. Implications for public health. Journal of Human Hypertension 16 (11):761–70. doi: 10.1038/sj.jhh.1001459.
   PubMed Web of Science ®Google Scholar
• Higgins, J., and S. Green 2011. Cochrane handbook for systematic reviews of intervention Version 5.1.0. Table 5.6a: Some advantages and disadvantages of broad versus narrow review questions. [updated March 2011]. The Cochrane Collaboration, 2011. Available from www.handbook.cochrane.org.
   Google Scholar
• Hill, A. B. 1965. The environment and disease: association or causation? Proceedings of the Royal Society of Medicine 58 (5):295–300. doi: 10.1177/003591576505800503.
   PubMedGoogle Scholar
• Hodson, L., C. M. Skeaff, and W. A. Chisholm. 2001. The effect of replacing dietary saturated fat with polyunsaturated or monounsaturated fat on plasma lipids in free-living young adults. European Journal of Clinical Nutrition 55 (10):908–15. doi: 10.1038/sj.ejcn.1601234.
   PubMed Web of Science ®Google Scholar
• Iqbal, R., M. Dehghan, A. Mente, S. Rangarajan, A. Wielgosz, A. Avezum, P. Seron, K. F. AlHabib, P. Lopez-Jaramillo, S. Swaminathan, et al. 2021. Associations of unprocessed and processed meat intake with mortality and cardiovascular disease in 21 countries [Prospective Urban Rural Epidemiology (PURE) Study]: a prospective cohort study. The American Journal of Clinical Nutrition 114 (3):1049–58. doi: 10.1093/ajcn/nqaa448.
   PubMed Web of Science ®Google Scholar
• Johnston, B. C., P. Alonso-Coello, M. M. Bala, D. Zeraatkar, M. Rabassa, C. Valli, C. Marshall, R. E. Dib, R. W. M. Vernooij, P. O. Vandvik, et al. 2018. Methods for trustworthy nutritional recommendations NutriRECS (Nutritional Recommendations and accessible Evidence summaries Composed of Systematic reviews): a protocol. BMC Medical Research Methodology 18 (1):162. doi: 10.1186/s12874-018-0621-8.
   PubMedGoogle Scholar
• Johnston, B. C., D. Zeraatkar, M. A. Han, R. W. M. Vernooij, C. Valli, R. E. Dib, C. Marshall, P. J. Stover, S. Fairweather-Taitt, G. Wójcik, et al. 2019. Unprocessed red meat and processed meat consumption: dietary guideline recommendations from the nutritional recommendations (NutriRECS) consortium. Annals of Internal Medicine 171 (10):756–64. doi: 10.7326/M19-1621.
   PubMed Web of Science ®Google Scholar
• Kaluza, J., A. Wolk, and S. C. Larsson. 2012. Red meat consumption and risk of stroke: a meta-analysis of prospective studies. Stroke 43 (10):2556–60. doi: 10.1161/STROKEAHA.112.663286.
   PubMed Web of Science ®Google Scholar
• Kaluza, J., A. Wolk, and S. C. Larsson. 2013. Heme iron intake and risk of stroke: a prospective study of men. Stroke 44 (2):334–9. doi: 10.1161/STROKEAHA.112.679662.
   PubMedGoogle Scholar
• Kim, K., J. Hyeon, S. A. Lee, S. O. Kwon, H. Lee, N. Keum, J. K. Lee, and S. M. Park. 2017. Role of total, red, processed, and white meat consumption in stroke incidence and mortality: a systematic review and meta-analysis of prospective cohort studies. Journal of the American Heart Association. 6 (9):1–16.
   Web of Science ®Google Scholar
• Kim, S. R., K. Kim, S. A. Lee, S. O. Kwon, J. K. Lee, N. Keum, and S. M. Park. 2019. Effect of red, processed, and white meat consumption on the risk of gastric cancer: an overall and dose-response meta-analysis. Nutrients 11 (4):826. doi: 10.3390/nu11040826.
   Web of Science ®Google Scholar
• Kim, Y, and Y. Je. 2018. Meat consumption and risk of metabolic syndrome: results from the korean population and a meta-analysis of observational studies. Nutrients 10 (4):390. doi: 10.3390/nu10040390.
   PubMed Web of Science ®Google Scholar
• Kleinbongard, P., A. Dejam, T. Lauer, T. Jax, S. Kerber, P. Gharini, J. Balzer, R. B. Zotz, R. E. Scharf, R. Willers, et al. 2006. Plasma nitrite concentrations reflect the degree of endothelial dysfunction in humans. Free Radical Biology and Medicine 40 (2):295–302. doi: 10.1016/j.freeradbiomed.2005.08.025.
   PubMed Web of Science ®Google Scholar
• Klurfeld, D. M. 2015. Research gaps in evaluating the relationship of meat and health. Meat Science 109:86–95. doi: 10.1016/j.meatsci.2015.05.022.
   PubMed Web of Science ®Google Scholar
• Krishnan, S., L. E. O’Connor, Y. Wang, E. R. Gertz, W. W. Campbell, and B. J. Bennett. 2021. Adopting a Mediterranean-style eating pattern with low, but not moderate, unprocessed, lean red meat intake reduces fasting serum trimethylamine N-oxide (TMAO) in adults who are overweight or obese. British Journal of Nutrition 1–9. doi: 10.1017/S0007114521004694.
   PubMed Web of Science ®Google Scholar
• Lew, Q. J., T. H. Jafar, H. W. Koh, A. Jin, K. Y. Chow, J. M. Yuan, and W. P. Koh. 2017. Red meat intake and risk of ESRD. Journal of the American Society of Nephrology 28 (1):304–12. doi: 10.1681/ASN.2016030248.
   PubMed Web of Science ®Google Scholar
• Lichtenstein, A. H., L. J. Appel, M. Vadiveloo, F. B. Hu, P. M. Kris-Etherton, C. M. Rebholz, F. M. Sacks, A. N. Thorndike, L. Van Horn, and J. Wylie-Rosett. 2021. 2021 dietary guidance to improve cardiovascular health: a scientific statement from the American Heart Association. Circulation 144 (23):472–487. doi: 10.1161/CIR.0000000000001031.
   PubMed Web of Science ®Google Scholar
• Lippi, G., C. Mattiuzzi, and F. Sanchis-Gomar. 2015. Red meat consumption and ischemic heart disease. A systematic literature review. Meat Science 108:32–6. doi: 10.1016/j.meatsci.2015.05.019.
   PubMed Web of Science ®Google Scholar
• Liu, G., G. Zong, K. Wu, Y. Hu, Y. Li, W. C. Willett, D. M. Eisenberg, F. B. Hu, and Q. Sun. 2018. Meat cooking methods and risk of type 2 diabetes: results from three prospective cohort studies. Diabetes Care 41 (5):1049–60. doi: 10.2337/dc17-1992.
   PubMed Web of Science ®Google Scholar
• Livesey, G, and H. Livesey. 2019. Coronary heart disease and dietary carbohydrate, glycemic index, and glycemic load: dose-response meta-analyses of prospective cohort studies. Mayo Clinic Proceedings. Innovations, Quality & Outcomes 3 (1):52–69. doi: 10.1016/j.mayocpiqo.2018.12.007.
   PubMedGoogle Scholar
• Livesey, G., R. Taylor, H. F. Livesey, A. E. Buyken, D. J. A. Jenkins, L. S. A. Augustin, J. L. Sievenpiper, A. W. Barclay, S. Liu, T. M. S. Wolever, et al. 2019. Dietary glycemic index and load and the risk of type 2 diabetes: assessment of causal relations. Nutrients 11 (6):1436. doi: 10.3390/nu11061436.
   PubMed Web of Science ®Google Scholar
• Maki, K. C., M. E. Van Elswyk, D. D. Alexander, T. M. Rains, E. L. Sohn, and S. McNeill. 2012. A meta-analysis of randomized controlled trials that compare the lipid effects of beef versus poultry and/or fish consumption. Journal of Clinical Lipidology 6 (4):352–61. doi: 10.1016/j.jacl.2012.01.001.
   PubMed Web of Science ®Google Scholar
• McGrowder, D., D. Ragoobirsingh, and T. Dasgupta. 2001. Effects of S-nitroso-N-acetyl-penicillamine administration on glucose tolerance and plasma levels of insulin and glucagon in the dog. Nitric Oxide. 5 (4):402–12. doi: 10.1006/niox.2001.0360.
   PubMed Web of Science ®Google Scholar
• Mente, A., L. de Koning, H. S. Shannon, and S. S. Anand. 2009. A systematic review of the evidence supporting a causal link between dietary factors and coronary heart disease. Archives of Internal Medicine 169 (7):659–69. doi: 10.1001/archinternmed.2009.38.
   PubMed Web of Science ®Google Scholar
• Micha, R., M. L. Shulkin, J. L. Peñalvo, S. Khatibzadeh, G. M. Singh, M. Rao, S. Fahimi, J. Powles, and D. 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 (NutriCoDE). PLoS One 12 (4):e0175149. doi: 10.1371/journal.pone.0175149.
   PubMed Web of Science ®Google Scholar
• Micha, R., S. K. Wallace, and D. Mozaffarian. 2010. Red and processed meat consumption and risk of incident coronary heart disease, stroke, and diabetes mellitus: a systematic review and meta-analysis. Circulation 121 (21):2271–83. doi: 10.1161/CIRCULATIONAHA.109.924977.
   PubMed Web of Science ®Google Scholar
• Moher, D., A. Liberati, J. Tetzlaff, and D. G. Altman. 2009. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ (Clinical Research ed.) 339:b2535. doi: 10.1136/bmj.b2535.
   PubMed Web of Science ®Google Scholar
• Naghipour, S., A. J. Cox, J. N. Peart, E. F. Du Toit, and J. P. Headrick. 2021. Trimethylamine N-oxide: heart of the microbiota-CVD nexus? Nutrition Research Reviews 34 (1):125–46. doi: 10.1017/S0954422420000177.
   PubMed Web of Science ®Google Scholar
• NCEP 2001. Executive Summary of the third report of the national cholesterol education program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III). JAMA 285 (19):2486–97. doi: 10.1001/jama.285.19.2486.
   PubMed Web of Science ®Google Scholar
• Neuhouser, M. L. 2020. Red and processed meat: more with less? The American Journal of Clinical Nutrition 111 (2):252–5. doi: 10.1093/ajcn/nqz294.
   PubMed Web of Science ®Google Scholar
• O'Connor, L. E., K. A. Herrick, R. Parsons, and J. Reedy. 2021. Heterogeneity in Meat Food Groups Can Meaningfully Alter Population-Level Intake Estimates of Red Meat and Poultry. Frontier in Nutrition 8:778369. doi: 10.3389/fnut.2021.778369. PMC: 34977122
   PubMed Web of Science ®Google Scholar
• O'Connor, L. E., C. L. Gifford, D. R. Woerner, J. L. Sharp, K. E. Belk, and W. W. Campbell. 2020. Dietary meat categories and descriptions in chronic disease research are substantively different within and between experimental and observational studies: a systematic review and landscape analysis. Advances in Nutrition. 11 (1):41–51.
   PubMed Web of Science ®Google Scholar
• O’Connor, L. E., J. E. Kim, and W. W. Campbell. 2017. Total red meat intake of ≥0.5 servings/d does not negatively influence cardiovascular disease risk factors: a systemically searched meta-analysis of randomized controlled trials. The American Journal of Clinical Nutrition 105 (1):57–69. doi: 10.3945/ajcn.116.142521.
   PubMed Web of Science ®Google Scholar
• O'Connor, L. E., J. E. Kim, C. M. Clark, W. Zhu, and W. W. Campbell. 2021. Effects of Total red meat intake on glycemic control and inflammatory biomarkers: a meta-analysis of randomized controlled trials. Advances in Nutrition 12 (1):115–27. doi: 10.1093/advances/nmaa096.
   PubMed Web of Science ®Google Scholar
• O'Connor, L. E., E. A. Wambogo, K. A. Herrick, R. Parsons, and J. Reedy. 2021. A Standardized Assessment of Processed Red Meat and Processed Poultry Intake in the US Population Aged ≥2 Years Using NHANES. The Journal of Nutrition 152 (1):190–9. doi: 10.1093/jn/nxab316.
   Web of Science ®Google Scholar
• O'Sullivan, T. A., K. Hafekost, F. Mitrou, and D. Lawrence. 2013. Food sources of saturated fat and the association with mortality: a meta-analysis. American Journal of Public Health 103 (9):e31–e42. doi: 10.2105/AJPH.2013.301492.
   PubMed Web of Science ®Google Scholar
• O’Connor, L. E, and W. W. Campbell. 2017. Red meat and health: getting to the heart of the matter. Nutrition Today 52 (4):167–73. doi: 10.1097/NT.0000000000000225.
   Google Scholar
• Papier, K., A. Knuppel, N. Syam, S. A. Jebb, and T. J. Key. 2021. Meat consumption and risk of ischemic heart disease: a systematic review and meta-analysis. Critical Reviews in Food Science and Nutrition 1–12. doi: 10.1080/10408398.2021.1949575.
   PubMed Web of Science ®Google Scholar
• Portha, B., M. H. Giroix, J. C. Cros, and L. Picon. 1980. Diabetogenic effect of N-nitrosomethylurea and N-nitrosomethylurethane in the adult rat. Annales de la Nutrition et de L'alimentation 34 (5-6):1143–51.
   PubMedGoogle Scholar
• Potischman, N, and D. L. Weed. 1999. Causal criteria in nutritional epidemiology. The American Journal of Clinical Nutrition 69 (6):1309s–14s. doi: 10.1093/ajcn/69.6.1309S.
   PubMed Web of Science ®Google Scholar
• PROSPERO 2011. International prospective register of systematic reviews. National Institute of Health Research. https://www.crd.york.ac.uk/prospero/.
   Google Scholar
• Pérez-Martínez, P., D. P. Mikhailidis, V. G. Athyros, M. Bullo, P. Couture, M. I. Covas, L. de Koning, J. Delgado-Lista, A. Díaz-López, C. A. Drevon, et al. 2017. Lifestyle recommendations for the prevention and management of metabolic syndrome: an international panel recommendation. Nutrition Reviews 75 (5):307–26. doi: 10.1093/nutrit/nux014.
   PubMed Web of Science ®Google Scholar
• Rothman, K. J, and S. Greenland. 2005. Causation and causal inference in epidemiology. American Journal of Public Health 95 (Suppl 1):S144–S150. doi: 10.2105/AJPH.2004.059204.
   PubMed Web of Science ®Google Scholar
• Rouhani, M. H., A. Salehi-Abargouei, P. J. Surkan, and L. Azadbakht. 2014. Is there a relationship between red or processed meat intake and obesity? A systematic review and meta-analysis of observational studies. Obesity Reviews: An Official Journal of the International Association for the Study of Obesity 15 (9):740–8. doi: 10.1111/obr.12172.
   PubMed Web of Science ®Google Scholar
• Sacks, F. M., L. P. Svetkey, W. M. Vollmer, L. J. Appel, G. A. Bray, D. Harsha, E. Obarzanek, P. R. Conlin, E. R. Miller, D. G. Simons-Morton, et al. 2001. Effects on blood pressure of reduced dietary sodium and the Dietary Approaches to Stop Hypertension (DASH) diet. DASH-Sodium Collaborative Research Group. New England Journal of Medicine 344 (1):3–10. doi: 10.1056/NEJM200101043440101.
   PubMed Web of Science ®Google Scholar
• Sanders, P. W. 2009. Vascular consequences of dietary salt intake. American Journal of Physiology. Renal Physiology 297 (2):F237–243. doi: 10.1152/ajprenal.00027.2009.
   PubMed Web of Science ®Google Scholar
• Satija, A., E. Yu, W. C. Willett, and F. B. Hu. 2015. Understanding nutritional epidemiology and its role in policy. Advances in Nutrition (Bethesda, Md.) 6 (1):5–18. doi: 10.3945/an.114.007492.
   PubMed Web of Science ®Google Scholar
• Schlesinger, S., M. Neuenschwander, C. Schwedhelm, G. Hoffmann, A. Bechthold, H. Boeing, and L. Schwingshackl. 2019. Food groups and risk of overweight, obesity, and weight gain: a systematic review and dose-response meta-analysis of prospective studies. Advances in Nutrition (Bethesda, Md.) 10 (2):205–18. doi: 10.1093/advances/nmy092.
   PubMed Web of Science ®Google Scholar
• Schwingshackl, L., G. Hoffmann, K. Iqbal, C. Schwedhelm, and H. Boeing. 2018. Food groups and intermediate disease markers: a systematic review and network meta-analysis of randomized trials. The American Journal of Clinical Nutrition 108 (3):576–86. doi: 10.1093/ajcn/nqy151.
   PubMed Web of Science ®Google Scholar
• Schwingshackl, L., G. Hoffmann, A. M. Lampousi, S. Knüppel, K. Iqbal, C. Schwedhelm, A. Bechthold, S. Schlesinger, and H. Boeing. 2017. Food groups and risk of type 2 diabetes mellitus: a systematic review and meta-analysis of prospective studies. European Journal of Epidemiology 32 (5):363–75. doi: 10.1007/s10654-017-0246-y.
   PubMed Web of Science ®Google Scholar
• Schwingshackl, L., C. Schwedhelm, G. Hoffmann, S. Knüppel, K. Iqbal, V. Andriolo, A. Bechthold, S. Schlesinger, and H. Boeing. 2017. Food groups and risk of hypertension: a systematic review and dose-response meta-analysis of prospective studies. Advances in Nutrition (Bethesda, Md.) 8 (6):793–803. doi: 10.3945/an.117.017178.
   PubMed Web of Science ®Google Scholar
• Seman, D. L., D. D. Boler, C. C. Carr, M. E. Dikeman, C. M. Owens, J. T. Keeton, T. D. Pringle, J. J. Sindelar, D. R. Woerner, A. S. de Mello, et al. 2018. Meat science lexicon. Meat and Muscle Biology 2 (3). doi: 10.22175/mmb2017.12.0059.
   Google Scholar
• Shan, Z., C. D. Rehm, G. Rogers, M. Ruan, D. D. Wang, F. B. Hu, D. Mozaffarian, F. F. Zhang, and S. N. Bhupathiraju. 2019. Trends in dietary carbohydrate, protein, and fat intake and diet quality among US adults, 1999-2016. JAMA 322 (12):1178–87. doi: 10.1001/jama.2019.13771.
   PubMed Web of Science ®Google Scholar
• Shea, B. J., J. M. Grimshaw, G. A. Wells, M. Boers, N. Andersson, C. Hamel, A. C. Porter, P. Tugwell, D. Moher, and L. M. Bouter. 2007. Development of AMSTAR: a measurement tool to assess the methodological quality of systematic reviews. BMC Medical Research Methodology 7:10. doi: 10.1186/1471-2288-7-10.
   PubMed Web of Science ®Google Scholar
• Shea, B. J., B. C. Reeves, G. Wells, M. Thuku, C. Hamel, J. Moran, D. Moher, P. Tugwell, V. Welch, E. Kristjansson, et al. 2017. AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both. BMJ (Clinical Research ed.) 358:j4008. doi: 10.1136/bmj.j4008.
   PubMed Web of Science ®Google Scholar
• Shim, J. S., K. Oh, and H. C. Kim. 2014. Dietary assessment methods in epidemiologic studies. Epidemiol Health 36:e2014009.
   PubMedGoogle Scholar
• Sinha, R., A. J. Cross, B. I. Graubard, M. F. Leitzmann, and A. Schatzkin. 2009. Meat intake and mortality: a prospective study of over half a million people. Archives of Internal Medicine 169 (6):562–71. doi: 10.1001/archinternmed.2009.6.
   PubMedGoogle Scholar
• Sorkin, J. D., M. Manary, P. A. M. Smeets, A. J. MacFarlane, A. Astrup, R. L. Prigeon, B. B. Hogans, J. Odle, T. A. Davis, K. L. Tucker, et al. 2021. A guide for authors and readers of the American Society for Nutrition Journals on the proper use of P values and strategies that promote transparency and improve research reproducibility. The American Journal of Clinical Nutrition 114 (4):1280–5. doi: 10.1093/ajcn/nqab223.
   PubMed Web of Science ®Google Scholar
• Stern, C, and J. Kleijnen. 2020. Language bias in systematic reviews: you only get out what you put in. JBI Evidence Synthesis 18 (9):1818–9. doi: 10.11124/JBIES-20-00361.
   PubMedGoogle Scholar
• Sterne, J., M. Egger, and D. Moher. 2011. Cochrane Handbook for Systematic Reviews of Intervention. Chapter 10: addressing reporting biases. In: Higgins J., and Green S. (editors). Version 5.1.0 (updated March 2011). The Cochrane Collaboration, 2011. Available from www.handbook.cochrane.org.
   Google Scholar
• Strazzullo, P., L. D'Elia, N. B. Kandala, and F. P. Cappuccio. 2009. Salt intake, stroke, and cardiovascular disease: meta-analysis of prospective studies. BMJ (Clinical Research ed.) 339:b4567. doi: 10.1136/bmj.b4567.
   PubMed Web of Science ®Google Scholar
• Subar, A. F., L. S. Freedman, J. A. Tooze, S. I. Kirkpatrick, C. Boushey, M. L. Neuhouser, F. E. Thompson, N. Potischman, P. M. Guenther, V. Tarasuk, et al. 2015. Addressing current criticism regarding the value of self-report dietary data. The Journal of Nutrition 145 (12):2639–45. doi: 10.3945/jn.115.219634.
   PubMed Web of Science ®Google Scholar
• Terrin, N., C. H. Schmid, and J. Lau. 2005. In an empirical evaluation of the funnel plot, researchers could not visually identify publication bias. Journal of Clinical Epidemiology 58 (9):894–901. doi: 10.1016/j.jclinepi.2005.01.006.
   PubMed Web of Science ®Google Scholar
• Thiese, M. S. 2014. Observational and interventional study design types; an overview. Biochemia Medica 24 (2):199–210. doi: 10.11613/BM.2014.022.
   PubMed Web of Science ®Google Scholar
• Tian, S., Q. Xu, R. Jiang, T. Han, C. Sun, and L. Na. 2017. Dietary protein consumption and the risk of type 2 diabetes: a systematic review and meta-analysis of cohort studies. Nutrients 9 (9):982. doi: 10.3390/nu9090982.
   Web of Science ®Google Scholar
• Todt, O, and J. L. Luján. 2017. Health claims and methodological controversy in nutrition science. Risk Analysis: An Official Publication of the Society for Risk Analysis 37 (5):958–68. doi: 10.1111/risa.12665.
   PubMed Web of Science ®Google Scholar
• University, B 2017. Boston University School of Public Health. Confidence Intervals for the Risk Ratio (Relative Risk). https://sphweb.bumc.bu.edu/otlt/MPH-Modules/BS/BS704_Confidence_Intervals/BS704_Confidence_Intervals8.html.
   Google Scholar
• USDA 2015. Dietary Guidelines Advisory Committee. 2015. Scientific Report of the 2015 Dietary Guidelines Advisory Committee: Advisory Report to the Secretary of Health and Human Services and the Secretary of Agriculture. U.S. Department of Agriculture, Agricultural Research Service, Washington, DC.
   Google Scholar
• USDA 2020. Dietary Guidelines Advisory Committee. 2020. Scientific Report of the 2020 Dietary Guidelines Advisory Committee: Advisory Report to the Secretary of Agriculture and the Secretary of Health and Human Services. U.S. Department of Agriculture, Agricultural Research Service, Washington, DC.
   Google Scholar
• Valli, C., M. Rabassa, B. C. Johnston, R. Kuijpers, A. Prokop-Dorner, J. Zajac, D. Storman, M. Storman, M. M. Bala, I. Solà et al. 2019. Health-related values and preferences regarding meat consumption: a mixed-methods systematic review. Annals of Internal Medicine 171 (10):742–55. doi: 10.7326/M19-1326.
   PubMed Web of Science ®Google Scholar
• Vernooij, R. W., M. D. Zeraatkar, M. A. Han, R. E. Dib, M. Zworth, K. Milio, D. Sit, Y. Lee, H. Gomaa, C. Valli, et al. 2019. Patterns of red and processed meat consumption and risk for cardiometabolic and cancer outcomes: a systematic review and meta-analysis of cohort studies. Annals of Internal Medicine 171 (10):732–41. doi: 10.7326/M19-1583.
   PubMed Web of Science ®Google Scholar
• Wang, X., X. Lin, Y. Y. Ouyang, J. Liu, G. Zhao, A. Pan, and F. B. Hu. 2016. Red and processed meat consumption and mortality: dose-response meta-analysis of prospective cohort studies. Public Health Nutrition 19 (5):893–905. doi: 10.1017/S1368980015002062.
   PubMed Web of Science ®Google Scholar
• World Cancer Research Fund/American Institute for Cancer Research. Continuous Update Project Expert Report 2018. Judging the Evidence. Available at https://www.dietandcancerreport.org.
   Google Scholar
• WCRF 2018. American Institute for Cancer Research Continuous Update Project. Meat, fish and dairy products and the risk of cancer. World Cancer Research Fund. www.wcrf.org/wp-content/uploads/2021/02/Meat-fish-and-dairy-products.pdf.
   Google Scholar
• Weaver, C. M, and J. W. Miller. 2017. Challenges in conducting clinical nutrition research. Nutrition Reviews 75 (7):491–9. doi: 10.1093/nutrit/nux026.
   PubMed Web of Science ®Google Scholar
• Willett, W. 2012. Nutritional Epidemiology. Chapter 1: overview of nutritional epidemiology. Oxford University. doi: 10.1093/acprof:oso/9780199754038.003.0001.
   Google Scholar
• Wolmarans, P., A. J. Benadé, T. J. Kotze, A. K. Daubitzer, M. P. Marais, and R. Laubscher. 1991. Plasma lipoprotein response to substituting fish for red meat in the diet. The American Journal of Clinical Nutrition 53 (5):1171–6. doi: 10.1093/ajcn/53.5.1171.
   PubMed Web of Science ®Google Scholar
• Yang, C., L. Pan, C. Sun, Y. Xi, L. Wang, and D. Li. 2016. Red meat consumption and the risk of stroke: a dose-response meta-analysis of prospective cohort studies. Journal of Stroke and Cerebrovascular Diseases: The Official Journal of National Stroke Association 25 (5):1177–86. doi: 10.1016/j.jstrokecerebrovasdis.2016.01.040.
   PubMed Web of Science ®Google Scholar
• Yang, X., Y. Li, C. Wang, Z. Mao, W. Zhou, L. Zhang, M. Fan, S. Cui, and L. Li. 2020. Meat and fish intake and type 2 diabetes: dose-response meta-analysis of prospective cohort studies. Diabetes & Metabolism 46 (5):345–52. doi: 10.1016/j.diabet.2020.03.004.
   PubMed Web of Science ®Google Scholar
• Zeraatkar, D., M. A. Han, G. H. Guyatt, R. W. M. Vernooij, R. E. Dib, K. Cheung, K. Milio, M. Zworth, J. J. Bartoszko, C. Valli, et al. 2019. Red and processed meat consumption and risk for all-cause mortality and cardiometabolic outcomes: a systematic review and meta-analysis of cohort studies. Annals of Internal Medicine 171 (10):703–10. doi: 10.7326/M19-0655.
   PubMed Web of Science ®Google Scholar
• Zeraatkar, D., B. C. Johnston, J. Bartoszko, K. Cheung, M. M. Bala, C. Valli, M. Rabassa, D. Sit, K. Milio, B. Sadeghirad, et al. 2019. Effect of lower versus higher red meat intake on cardiometabolic and cancer outcomes: a systematic review of randomized trials. Annals of Internal Medicine 171 (10):721–31. doi: 10.7326/M19-0622.
   PubMed Web of Science ®Google Scholar
• Zhao, Z., S. Li, G. Liu, F. Yan, X. Ma, Z. Huang, and H. Tian. 2012. Body iron stores and heme-iron intake in relation to risk of type 2 diabetes: a systematic review and meta-analysis. PLoS One 7 (7):e41641. doi: 10.1371/journal.pone.0041641.
   PubMed Web of Science ®Google Scholar