Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Review
  • Published:

A summary of meat intakes and health burdens

Abstract

This review summarizes published meta-analysis outcomes on the associations between meat intakes and burden of diseases. A novel assessment process was developed, combining selected Cochrane Review measures, AMSTAR checklist, and other quality measures identified by authors during preliminary phases of the review process. Meat intakes have been found to be statistically significant associated with 21 burden of diseases. A total of 37 risk-outcome best dose–response estimations were identified, all were positively associated, and 21 of them with low to moderate, or insignificant heterogeneity. The highest dose–responses per 50 g increases in processed meat intake at 95% confident levels were 1.81 (1.32, 2.48) for esophageal cancer, 1.71 (1.34, 2.19) for stomach cancer, 1.42 (1.07, 1.89) for CHD, 1.32 (1.19, 1.48) for diabetes, and 1.24 (1.13, 1.35) for colon cancer incidences, and 1.24 (1.09, 1.40) for CVD mortality. The highest dose–responses per each 65 g increases in total red meat intake were 1.36 (1.16, 1.58) for endometrial cancer, 1.25 (1.10, 1.41) esophageal cancer, and 1.22 (1.16, 1.23) for lung cancer incidences. In addition, 14 statistically significant associations in terms of high vs low meat intake relative risks were also identified. Total red meat intakes were found negatively associated with CVD and cancer mortalities, and poultry meat intakes were found negatively associated with all-cause and cancer mortalities, and rectal cancer incidences in low meat consumption Asian countries. Current global and dietary Comparative Risk Assessments may underestimate burden of diseases attributed to meat intakes. More investigation is needed in low-meat consumption countries.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1
Figure 2
Figure 3
Figure 4

Similar content being viewed by others

References

  1. Alexandratos N, Bruinsma J . World agriculture towards 2030/2050: the 2012 revision. ESA Working Paper 2012; 3.

  2. Food Balances [Internet]. Food and Agriculture Organization of the United Nations Statistics Division. 2017. Available from: http://faostat3.fao.org/home/E.

  3. The International Agency for Research on Cancer (IARC) IARC Monographs evaluate consumption of red meat and processed meat [press release]. The Cancer Agency of the World Health Organization: Lyon, France, 2015.

  4. WHO Global status report on noncommunicable diseases 2010. World Health Organization: Italy, 2010.

  5. Garwood P . New WHO report: deaths from noncommunicable diseases on the rise, with developing world hit hardest. World Health Organization. 4 October 2011.

  6. Ezzati M, Hoorn SV, Lopez AD, Danaei G, Rodgers A, Mathers CD et al Comparative quantification of mortality and burden of disease attributable to selected risk factors. in Global Burden of Disease and Risk Factors: The International Bank for Reconstruction and Development/The World Bank. Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJL (eds). Washington (DC): The International Bank for Reconstruction and Development/The World Bank; 2006. Chapter 4.

  7. Ezzati M, Lopez A, Rodgers A, Murray C . Comparative Quantification of Health risks: Global and Regional Burden of Disease Attributable to Selected Risk Factors. World Health Organization: Geneva, 2004.

    Google Scholar 

  8. Hoorn S, Ezzati M, A R, Lopez A, Murray C Estimating attributable burden of disease from exposure and hazard. In: Ezzati M, Lopez A, Rodgers A, Murray C (eds). Comparative Quantification of Health risks: Global and Regional Burden of Disease Attributable to Selected Risk Factors. World Health Organization: Geneva, 2004; 2129–2140.

    Google Scholar 

  9. Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2013; 380: 2224–2260.

    Google Scholar 

  10. WCRFI-AICR Food, nutrition, physical activity, and the prevention of cancer: a global perspective. In: World Cancer Research Fund International AIfCR (ed). 2007.

  11. Pan A, Sun Q, Bernstein AM, Schulze MB, Manson JE, Willett WC et al. Red meat consumption and risk of type 2 diabetes: 3 cohorts of US adults and an updated meta-analysis. Am J Clin Nutr 2011; 94: 1088–1096.

    CAS  PubMed  PubMed Central  Google Scholar 

  12. Micha R, Wallace SK, Mozaffarian D . Red and processed meat consumption and risk of incident coronary heart disease, stroke, and diabetes mellitus: a systematic review and meta-analysis. Circulation 2010; 121: 2271–2283.

    PubMed  PubMed Central  Google Scholar 

  13. Feskens EJ, Sluik D, van Woudenbergh GJ . Meat consumption, diabetes, and its complications. Curr Diab Rep 2013; 13: 298–306.

    CAS  PubMed  Google Scholar 

  14. InterAct Consortium. Association between dietary meat consumption and incident type 2 diabetes: the EPIC-InterAct study. Diabetologia 2013; 56: 47–59.

    Google Scholar 

  15. Alexander DD, Miller AJ, Cushing CA, Lowe KA . Processed meat and colorectal cancer: a quantitative review of prospective epidemiologic studies. Eur J Cancer Prev 2010; 19: 328–341.

    PubMed  Google Scholar 

  16. Chan DS, Lau R, Aune D, Vieira R, Greenwood DC, Kampman E et al. Red and processed meat and colorectal cancer incidence: meta-analysis of prospective studies. PLoS One 2011; 6: e20456.

    CAS  PubMed  PubMed Central  Google Scholar 

  17. Abete I, Romaguera D, Vieira AR, Lopez de Munain A, Norat T . Association between total, processed, red and white meat consumption and all-cause, CVD and IHD mortality: a meta-analysis of cohort studies. Br J Nutr 2014; 112: 762–775.

    CAS  PubMed  Google Scholar 

  18. Wang X, Lin X, Ouyang YY, Liu J, Zhao G, Pan A et al. Red and processed meat consumption and mortality: dose-response meta-analysis of prospective cohort studies. Public Health Nutr 2016; 19: 893–905.

    PubMed  Google Scholar 

  19. Kaluza J, Wolk A, Larsson SC . Red meat consumption and risk of stroke: a meta-analysis of prospective studies. Stroke 2012; 43: 2556–2560.

    CAS  PubMed  Google Scholar 

  20. Chen GC, Lv DB, Pang Z, Liu QF . Red and processed meat consumption and risk of stroke: a meta-analysis of prospective cohort studies. Eur J Clin Nutr 2013; 67: 91–95.

    PubMed  Google Scholar 

  21. Bandera EV, Kushi LH, Moore DF, Gifkins DM, McCullough ML . Consumption of animal foods and endometrial cancer risk: a systematic literature review and meta-analysis. Cancer Causes Control 2007; 18: 967–988.

    PubMed  PubMed Central  Google Scholar 

  22. Huang W, Han Y, Xu J, Zhu W, Li Z . Red and processed meat intake and risk of esophageal adenocarcinoma: a meta-analysis of observational studies. Cancer Causes Control 2013; 24: 193–201.

    PubMed  Google Scholar 

  23. Qu X, Ben Q, Jiang Y . Consumption of red and processed meat and risk for esophageal squamous cell carcinoma based on a meta-analysis. Ann Epidemiol 2013; 23: 762–770. e1.

    PubMed  Google Scholar 

  24. Larsson SC, Wolk A . Red and processed meat consumption and risk of pancreatic cancer: meta-analysis of prospective studies. Br J Cancer 2012; 106: 603–607.

    CAS  PubMed  PubMed Central  Google Scholar 

  25. Guo J, Wei W, Zhan L . Red and processed meat intake and risk of breast cancer: a meta-analysis of prospective studies. Breast Cancer Res Treat 2015; 151: 191–198.

    CAS  PubMed  Google Scholar 

  26. Song P, Lu M, Yin Q, Wu L, Zhang D, Fu B et al. Red meat consumption and stomach cancer risk: a meta-analysis. J Cancer Res Clin Oncol 2014; 140: 979–992.

    PubMed  Google Scholar 

  27. Bonequi P, Meneses-Gonzalez F, Correa P, Rabkin CS, Camargo MC . Risk factors for gastric cancer in Latin America: a meta-analysis. Cancer Causes Control 2013; 24: 217–231.

    PubMed  Google Scholar 

  28. Zhu H, Yang X, Zhang C, Zhu C, Tao G, Zhao L et al. Red and processed meat intake is associated with higher gastric cancer risk: a meta-analysis of epidemiological observational studies. PLoS One 2013; 8: e70955.

    CAS  PubMed  PubMed Central  Google Scholar 

  29. Woo HD, Park S, Oh K, Kim HJ, Shin HR, Moon HK et al. Diet and cancer risk in the Korean population: a meta- analysis. Asian Pacific J Cancer Prev 2014; 15: 8509–8519.

    Google Scholar 

  30. Yang WS, Wong MY, Vogtmann E, Tang RQ, Xie L, Yang YS et al. Meat consumption and risk of lung cancer: evidence from observational studies. Ann Oncol: Off J Eur Soc Med Oncol 2012; 23: 3163–3170.

    CAS  Google Scholar 

  31. Xue XJ, Gao Q, Qiao JH, Zhang J, Xu CP, Liu J . Red and processed meat consumption and the risk of lung cancer: a dose-response meta-analysis of 33 published studies. Int J. Clin Exp Med 2014; 7: 1542–1553.

    Google Scholar 

  32. Xu J, Yang XX, Wu YG, Li XY, Bai B . Meat consumption and risk of oral cavity and oropharynx cancer: a meta-analysis of observational studies. PLoS One 2014; 9: e95048.

    PubMed  PubMed Central  Google Scholar 

  33. Aston LM, Smith JN, Powles JW . Impact of a reduced red and processed meat dietary pattern on disease risks and greenhouse gas emissions in the UK: a modelling study. Br Med J 2012; 2: 1–9.

    Google Scholar 

  34. Friel S, Dangour AD, Garnett T, Lock K, Chalabi Z, Roberts I et al. Public health benefits of strategies to reduce greenhouse-gas emissions: food and agriculture. Lancet 2009; 374: 2016–2025.

    PubMed  Google Scholar 

  35. Scarborough P, Allender S, Clarke D, Wickramasinghe K, Rayner M . Modelling the health impact of environmentally sustainable dietary scenarios in the UK. Eur J Clin Nutr 2012; 66: 710–715.

    CAS  PubMed  PubMed Central  Google Scholar 

  36. Springmann M, Godfray HCJ, Rayner M, Scarborough P . Analysis and valuation of the health and climate change cobenefits of dietary change. Proc Natl Acad Sci 2016; 113: 4146–4151.

    CAS  PubMed  PubMed Central  Google Scholar 

  37. Yip CSC, Glenis C, Karnon J . Systematic review of reducing population meat consumption to reduce greenhouse gas emissions and obtain health benefits: effectiveness and models assessments. Int J Public Health 2013; 58: 683–693.

    PubMed  Google Scholar 

  38. MLA, Red Meat, Matters: Fresh red meat is different to processed meat fact 5: Meat & Livestock Australia; 2012 Available from http://www.themainmeal.com.au/NR/rdonlyres/B960B363-4A71-4F18-9E28-CD241F50B3D6/0/Factsheet5FreshvsProcessed_107k.pdf.

  39. Higgins JP, Green S . Cochrane Handbook for Systematic Reviews of Interventions: Wiley Online Library; 2011.

  40. Iorio A, Spencer FA, Falavigna M, Alba C, Lang E, Burnand B et al. Use of GRADE for assessment of evidence about prognosis: rating confidence in estimates of event rates in broad categories of patients. Br Med J 2015; 350: h870.

    Google Scholar 

  41. AMSTAR Checklist [Internet]. http://amstar.ca/ 2015.

  42. NHMRC A Modelling System to Inform the Revision of the Australian Guide to Healthy Eating National Health and Medical Research Council, Department of Health and Ageing, Australian Government; 2011.

  43. Alexander DD, Cushing CA . Quantitative assessment of red meat or processed meat consumption and kidney cancer. Cancer Detect Prev 2009; 32: 340–351.

    PubMed  Google Scholar 

  44. Alexander DD, Mink PJ, Cushing CA, Sceurman B . A review and meta-analysis of prospective studies of red and processed meat intake and prostate cancer. Nutr J 2010; 9: 50.

    PubMed  PubMed Central  Google Scholar 

  45. Alexander DD, Morimoto LM, Mink PJ, Cushing CA . A review and meta-analysis of red and processed meat consumption and breast cancer. Nutr Res Rev 2010; 23: 349–365.

    CAS  PubMed  Google Scholar 

  46. Alexander DD, Weed DL, Cushing CA, Lowe KA . Meta-analysis of prospective studies of red meat consumption and colorectal cancer. Eur J Cancer Prev 2011; 20: 293–307.

    CAS  PubMed  Google Scholar 

  47. Carr PR, Walter V, Brenner H, Hoffmeister M . Meat subtypes and their association with colorectal cancer: systematic review and meta-analysis. Int J Cancer 2015; 138: 293–302.

    PubMed  Google Scholar 

  48. Choi Y, Song S, Song Y, Lee JE . Consumption of red and processed meat and esophageal cancer risk: meta-analysis. World J Gastroenterol 2013; 19: 1020–1029.

    PubMed  PubMed Central  Google Scholar 

  49. Fallahzadeh H, Cheraghi M, Amoori N, Alaf M . Red meat intake and risk of non-Hodgkin lymphoma: a meta-analysis. Asian Pacific J Cancer Prev 2014; 15: 10421–10425.

    Google Scholar 

  50. Huxley RR, Ansary-Moghaddam A, Clifton P, Czernichow S, Parr CL, Woodward M . The impact of dietary and lifestyle risk factors on risk of colorectal cancer: a quantitative overview of the epidemiological evidence. Int J Cancer 2009; 125: 171–180.

    CAS  PubMed  Google Scholar 

  51. Kolahdooz F, van der Pols JC, Bain CJ, Marks GC, Hughes MC, Whiteman DC et al. Meat, fish, and ovarian cancer risk: Results from 2 Australian case-control studies, a systematic review, and meta-analysis. Am J Clin Nutr 2010; 91: 1752–1763.

    CAS  PubMed  Google Scholar 

  52. Larsson SC, Orsini N . Red meat and processed meat consumption and all-cause mortality: a meta-analysis. Am J Epidemiol 2013; 179: 282–289.

    PubMed  Google Scholar 

  53. Larsson SC, Orsini N, Wolk A . Processed meat consumption and stomach cancer risk: a meta-analysis. J Natl Cancer Inst 2006; 98: 1078–1087.

    PubMed  Google Scholar 

  54. Larsson SC, Wolk A . Meat consumption and risk of colorectal cancer: a meta-analysis of prospective studies. Int J Cancer 2006; 119: 2657–2664.

    CAS  PubMed  Google Scholar 

  55. Lee JE, McLerran DF, Rolland B, Chen Y, Grant EJ, Vedanthan R et al. Meat intake and cause-specific mortality: a pooled analysis of Asian prospective cohort studies. Am J Clin Nutr 2013; 98: 1032–1041.

    CAS  PubMed  PubMed Central  Google Scholar 

  56. Li F, An S, Hou L, Chen P, Lei C, Tan W . Red and processed meat intake and risk of bladder cancer: a meta-analysis. Int J Clin Exp Med 2014; 7: 2100.

    PubMed  PubMed Central  Google Scholar 

  57. Liu ZT, Lin AH . Dietary factors and thyroid cancer risk: a meta-analysis of observational studies. Nutr Cancer 2014; 66: 1165–1178.

    CAS  PubMed  Google Scholar 

  58. Luo J, Yang Y, Liu J, Lu K, Tang Z, Liu P et al. Systematic review with meta-analysis: meat consumption and the risk of hepatocellular carcinoma. Aliment Pharmacol Ther 2014; 39: 913–922.

    CAS  PubMed  Google Scholar 

  59. Missmer SA, Smith-Warner SA, Spiegelman D, Yaun SS, Adami HO, Beeson WL et al. Meat and dairy food consumption and breast cancer: a pooled analysis of cohort studies. Int J Epidemiol 2002; 31: 78–85.

    PubMed  Google Scholar 

  60. Namiranian N, Moradi-Lakeh M, Razavi-Ratki SK, Doayie M, Nojomi M . Risk factors of breast cancer in the Eastern Mediterranean Region: a systematic review and meta-analysis. Asian Pacific J Cancer Prev 2014; 15: 9535–9541.

    Google Scholar 

  61. Norat T, Lukanova A, Ferrari P, Riboli E . Meat consumption and colorectal cancer risk: dose-response meta-analysis of epidemiological studies. Int J Cancer 2002; 98: 241–256.

    CAS  PubMed  Google Scholar 

  62. Pham NM, Mizoue T, Tanaka K, Tsuji I, Tamakoshi A, Matsuo K et al. Meat consumption and colorectal cancer risk: an evaluation based on a systematic review of epidemiologic evidence among the Japanese population. Jpn J Clin Oncol 2014; 44: 641–650.

    PubMed  Google Scholar 

  63. Rouhani MH, Salehi-Abargouei A, Surkan PJ, Azadbakht L . Is there a relationship between red or processed meat intake and obesity? A systematic review and meta-analysis of observational studies. Obes Rev 2014; 15: 740–748.

    CAS  PubMed  Google Scholar 

  64. Salehi M, Moradi-Lakeh M, Salehi MH, Nojomi M, Kolahdooz F . Meat, fish, and esophageal cancer risk: a systematic review and dose-response meta-analysis. Nutr Rev 2013; 71: 257–267.

    PubMed  Google Scholar 

  65. Sandhu MS, White IR, McPherson K . Systematic review of the prospective cohort studies on meat consumption and colorectal cancer risk: a meta- analytical approach. Cancer Epidemiol Biomarkers Prev 2001; 10: 439–446.

    CAS  PubMed  Google Scholar 

  66. Smolinska K, Paluszkiewicz P . Risk of colorectal cancer in relation to frequency and total amount of red meat consumption. Systematic review and meta-analysis. Arch Med Sci 2010; 6: 605–610.

    PubMed  PubMed Central  Google Scholar 

  67. Wallin A, Orsini N, Wolk A . Red and processed meat consumption and risk of ovarian cancer: a dose-response meta-analysis of prospective studies. Br J Cancer 2011; 104: 1196–1201.

    CAS  PubMed  PubMed Central  Google Scholar 

  68. Wang C, Jiang H . Meat intake and risk of bladder cancer: a meta-analysis. Med Oncol 2012; 29: 848–855.

    PubMed  Google Scholar 

  69. Wei Y, Zou D, Cao D, Xie P . Association between processed meat and red meat consumption and risk for glioma: a meta-analysis from 14 articles. Nutrition 2015; 31: 45–50.

    PubMed  Google Scholar 

  70. Xu X, Yu E, Gao X, Song N, Liu L, Wei X et al. Red and processed meat intake and risk of colorectal adenomas: a meta-analysis of observational studies. Int J Cancer 2013; 132: 437–448.

    CAS  PubMed  Google Scholar 

  71. Zhu HC, Yang X, Xu LP, Zhao LJ, Tao GZ, Zhang C et al. Meat consumption is associated with esophageal cancer risk in a meat- and cancer-histological-type dependent manner. Digest Dis Sci 2014; 59: 664–673.

    CAS  PubMed  Google Scholar 

  72. Pan A, Sun Q, Bernstein AM, Manson JE, Willett WC, Hu FB . Changes in red meat consumption and subsequent risk of type 2 diabetes mellitus: three cohorts of US men and women. JAMA Int Med 2013; 173: 1328–1335.

    CAS  Google Scholar 

  73. Higgins JP, Green S . Cochrane Handbook for Systematic Reviews of Interventions. Wiley Online Library, 2008.

    Google Scholar 

  74. Scarborough P, Nnoaham K, Clarke D, Rayner M, Capewell S . Modelling the impact of a healthy diet on cardiovascular disease and cancer mortality. J Epidemiol Commun Health 2012; 66: 420–426.

    Google Scholar 

  75. AIHW Australia’s health 2010. Australia’s Health Series no. 12, cat. no. AUS 122. Australian Institute of Health and Welfare: Canberra, 2010.

  76. Nordqvist C . Cut Down On Red Meat And Processed Meat To Reduce Cancer Risk. 2011.

  77. Wyness L, Weichselbaum E, O’Connor A, Williams EB, Benelam B, Riley H et al. Red meat in the diet: an update. Nutr Bull 2011; 36: 34–77.

    Google Scholar 

  78. NHMRC. Nutrient Reference Values for Australia and New Zealand Including Recommended Dietary Intakes. National Health and Medical Research Council 2006; 12: 853–861.

    Google Scholar 

  79. Kinjo Y, Beral V, Akiba S, Key T, Mizuno S, Appleby P . Possible protective effect of milk, meat and fish for cerebrovascular disease mortality in Japan. J Epidemiol 1999; 9: 268–274.

    CAS  PubMed  Google Scholar 

  80. Sauvaget CM, Nagano JM, Hayashi MB, Yamada MM . Animal protein, animal fat, and cholesterol intakes and risk of cerebral infarction mortality in the Adult Health Study. Stroke J Cerebr Circul 2004; 35: 1531–1537.

    CAS  Google Scholar 

  81. Yamagishi K, Iso H, Yatsuya H, Tanabe N, Date C, Kikuchi S et al. Dietary intake of saturated fatty acids and mortality from cardiovascular disease in Japanese: the Japan Collaborative Cohort Study for Evaluation of Cancer Risk (JACC) Study1–3. Am J Clin Nutr 2010; 92: 759–765.

    CAS  PubMed  Google Scholar 

  82. Chen K, Jin M . Mortality, biochemistry, diet and lifestyle in rural China: geographic study of the characteristics of 69 counties in mainland China and 16 areas in Taiwan. Oxford University Press: Oxford, 2006.

    Google Scholar 

  83. Dinu M, Abbate R, Gensini GF, Casini A, Sofi F . Vegetarian, vegan diets and multiple health outcomes: a systematic review with meta-analysis of observational studies. Critic Rev Food Sci Nutr 2016; 57: 3640–3649.

    Google Scholar 

  84. Kudlackova M, Valachovicova M, Babinska K, Krivosikova Z, Paukova V, Spustova V et al. Possible health risks in subjects with dominant plant food consumption. J Cent Eur Agric 2013; 14: 894–904.

    Google Scholar 

  85. McConnell T, Appleby P, Key T . Vegetarian diet as a risk factor for symptomatic gallstone disease. Eur J Clin Nutr 2017; 71: 731–735.

    CAS  PubMed  Google Scholar 

  86. Bech-Larsen T, Kazbare L . Perceptions of healthy eating in transitional phases of life: results of four focus groups with adolescents and older adults. Br Food J 2014; 116: 570–584.

    Google Scholar 

  87. Font-i-Furnols M, Guerrero L . Consumer preference, behavior and perception about meat and meat products: an overview. Meat Sci 2014; 98: 361–371.

    PubMed  Google Scholar 

  88. Köster EP . Diversity in the determinants of food choice: a psychological perspective. Food Quality Preference 2009; 20: 70–82.

    Google Scholar 

  89. Brownie S, Coutts R . Older Australians’ perceptions and practices in relation to a healthy diet for old age: a qualitative study. J Nutr Health Aging 2013; 17: 125–129.

    CAS  PubMed  Google Scholar 

  90. Charlebois S, Charlebois S, McCormick M, McCormick M, Juhasz M, Juhasz M . Meat consumption and higher prices: Discrete determinants affecting meat reduction or avoidance amidst retail price volatility. Br Food J 2016; 118: 2251–2270.

    Google Scholar 

  91. Piazza J, Ruby MB, Loughnan S, Luong M, Kulik J, Watkins HM et al. Rationalizing meat consumption. The 4Ns. Appetite 2015; 91: 114–128.

    PubMed  Google Scholar 

  92. Jensen M, Heilmann T, Hedegaard Hansen JA, Rasmussen JL, Mølgaard IN, Fisker-Clausen R et al Meat consumption among Danish men 2016.

  93. Pohjolainen P, Vinnari M, Jokinen P . Consumers’ perceived barriers to following a plant-based diet. Br Food J 2015; 117: 1150–1167.

    Google Scholar 

  94. Schösler H, De Boer J, Boersema JJ . Can we cut out the meat of the dish? Constructing consumer-oriented pathways towards meat substitution. Appetite 2012; 58: 39–47.

    PubMed  Google Scholar 

  95. WCRFI. Limit consumption of red meats (such as beef, pork and lamb) and avoid processed meats: World Cancer Research Fund International 2016 Available from http://www.wcrf.org/int/research-we-fund/cancer-prevention-recommendations/animal-foods.

  96. US Department of Agriculture (USDA)Dietary guidelines for Americans, 2010. In UDoH Human Services. ed., US Government Printing Office: Washington, DC, 2010.

    Google Scholar 

  97. DHUK. The eatwell plate: Department of Health, UK; 2011. Available from http://webarchive.nationalarchives.gov.uk/20130107105354/http://www.dh.gov.uk/en/Publichealth/Nutrition/DH_126493#_5.

  98. Yip CSC, Fielding R . Health and greenhouse gas emission implication of reducing meat intakes in Hong Kong. World Acad Sci Eng Technol Int J Biol Biomol Agric Food Biotechnol Eng 2017.

  99. Kim HJ, Lim SY, Lee JS, Park S, Shin A, Choi BY et al. Fresh and pickled vegetable consumption and gastric cancer in Japanese and Korean populations: a meta-analysis of observational studies. Cancer Sci 2010; 101: 508–516.

    CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank Sai Yin Ho, Linwei Tian and Lai Ming Ho for epidemiology and biostatistics advice.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to C S C Yip.

Ethics declarations

Competing interests

The authors declare no conflict of interest.

Additional information

Supplementary Information accompanies this paper on European Journal of Clinical Nutrition website

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yip, C., Lam, W. & Fielding, R. A summary of meat intakes and health burdens. Eur J Clin Nutr 72, 18–29 (2018). https://doi.org/10.1038/ejcn.2017.117

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/ejcn.2017.117

This article is cited by

Search

Quick links