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Health and Greenhouse Gas Emission Implications of Reducing Meat Intakes in Hong Kong
Abstract:High meat and especially red meat intakes are significantly and positively associated with a multiple burden of diseases and also high greenhouse gas (GHG) emissions. This study investigated population meat intake patterns in Hong Kong. It quantified the burden of disease and GHG emission outcomes by modeling to adjust Hong Kong population meat intakes to recommended healthy levels. It compared age- and sex-specific population meat, fruit and vegetable intakes obtained from a population survey among adults aged 20 years and over in Hong Kong in 2005-2007, against intake recommendations suggested in the Modelling System to Inform the Revision of the Australian Guide to Healthy Eating (AGHE-2011-MS) technical document. This study found that meat and meat alternatives, especially red meat intakes among Hong Kong males aged 20+ years and over are significantly higher than recommended. Red meat intakes among females aged 50-69 years and other meat and alternatives intakes among aged 20-59 years are also higher than recommended. Taking the 2005-07 age- and sex-specific population meat intake as baselines, three counterfactual scenarios of adjusting Hong Kong adult population meat intakes to AGHE-2011-MS and Pre-2011 AGHE recommendations by the year 2030 were established. Consequent energy intake gaps were substituted with additional legume, fruit and vegetable intakes. To quantify the consequent GHG emission outcomes associated with Hong Kong meat intakes, Cradle-to-ready-to-eat lifecycle assessment emission outcome modelling was used. Comparative risk assessment of burden of disease model was used to quantify the health outcomes. This study found adjusting meat intakes to recommended levels could reduce Hong Kong GHG emission by 17%-44% when compared against baseline meat intake emissions, and prevent 2,519 to 7,012 premature deaths in males and 53 to 1,342 in females, as well as multiple burden of diseases when compared to the baseline meat intake scenario. Comparing lump sum meat intake reduction and outcome measures across the entire population, and using emission factors, and relative risks from individual studies in previous co-benefit studies, this study used age- and sex-specific input and output measures, emission factors and relative risks obtained from high quality meta-analysis and meta-review respectively, and has taken government dietary recommendations into account. Hence evaluations in this study are of better quality and more reflective of real life practices. Further to previous co-benefit studies, this study pinpointed age- and sex-specific population and meat-type-specific intervention points and leverages. When compared with similar studies in Australia, this study also showed that intervention points and leverages among populations in different geographic and cultural background could be different, and that globalization also globalizes meat consumption emission effects. More regional and cultural specific evaluations are recommended to promote more sustainable meat consumption and enhance global food security.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1339754Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 911
 CHP. “Number of Deaths by Leading Causes of Death, 2001 – 2014”. In: Centre for Health Protection Department of Health The Government of the Hong Kong Special Administration Region, 2015, accessed Jan. 2016, Available from: http://www.chp.gov.hk/en/index.html.
 C.S.C. Yip, R. Fielding, W. Lam, “A Summary of Meat, Fruit, and Vegetable Consumption and Leading Health Burden: Meta-Review (Submitted for publication.),” EJCN, submitted for publication.
 L. Borgi, G.C. Curhan, W.C. Willett, F.B. Hu, A. Satija, J.P. Forman, “Long-term intake of animal flesh and risk of developing hypertension in three prospective cohort studies,” J Hypertens, vol. 33, issue 11, pp. 2231-2238, Nov. 2015
 M.H. Rouhani, A. Salehi-Abargouei, P.J. Surkan, L. Azadbakht. “Is there a relationship between red or processed meat intake and obesity? A systematic review and meta-analysis of observational studies,” Obes Rev. vol. 15, issue 9, pp.740-748, Sep. 2014.
 C.S.C. Yip, R. Fielding, W. Lam, “A Systematic Review of Food Greenhouse Gas Emission Factors: Cradle-to-Ready-to-Eat (Submitted for publication.),” Climatic Change, submitted for publication.
 FAOSTAT, “Food Balances (online database),” Food and Agriculture Organization of the United Nations Statistics Division, accessed: 2016, Available from: http://faostat3.fao.org/home/E.
 D. Yu, X. Zhang, Y.B. Xiang, G. Yang, H. Li, Y.T. Gao, et al. “Adherence to dietary guidelines and mortality: a report from prospective cohort studies of 134,000 Chinese adults in urban Shanghai,” The American journal of clinical nutrition, vol. 100, issue 2, pp. 693-700, Aug. 2014.
 C.S.C. Yip, R. Fielding, W. Lam, “Health Implications of Adjusting Australian Meat Intakes to Government Recommended Levels (Submitted for publication.),” EJCN, submitted for publication.
 C.S.C. Yip, R. Fielding, W. Lam, “Greenhouse Gas Emission Implications of Adjusting Australian Meat Intakes to Government Recommended Levels (Submitted for publication.),” Climatic Change, submitted for publication.
 MLA, “Red Meat Matters: Fresh red meat is different to processed meat fact 5: Meat & Livestock Australia,” accessed Jul. 2012, Available from: http://www.themainmeal.com.au/NR/rdonlyres/B960B363-4A71-4F18-9E28-CD241F50B3D6/0/Factsheet5FreshvsProcessed_107k.pdf.
 WCRFI. “Limit consumption of red meats (such as beef, pork and lamb) and avoid processed meats,” World Cancer Research Fund International Accessed Jan. 2016 Available from: http://www.wcrf.org/int/research-we-fund/cancer-prevention-recommendations/animal-foods.
 USDA. Dietary guidelines for Americans, 2010. Department of Agriculture, Department of Health, Human Services, US Government Printing Office Washington, DC, Dec. 2010.
 DHUK. “The eatwell plate,” Department of Health, UK; 2011, accessed Mar. 2016, Available from: http://webarchive.nationalarchives.gov.uk/20130107105354/http://www.dh.gov.uk/en/Publichealth/Nutrition/DH_126493#_5
 DHHK. “Healthy Eating Food Pyramid in Hong Kong: Department of Health, Hong Kong,” accessed Mar. 2016, Available from: http://www.change4health.gov.hk/en/healthy_diet/guidelines/food_pyramid/index_t.html.
 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; Dec. 2011.
 CSDHK, Hong Kong Population Projections 2015-2064, Census and Statistics Department Hong Kong Special Administrative Region, Sep. 2015.
 Hong Kong Cancer Registry, “Enquiry on cancer statistics” accessed Jan. 2016, Available from: http://www3.ha.org.hk/cancereg/e_b1.asp.
 C.S.C. Yip, C. Glenis, J, Karnon, “Systematic review of reducing population meat consumption to reduce greenhouse gas emissions and obtain health benefits: effectiveness and models assessments,” International journal of public health, vol. 58, issue 5, pp. 683-693, Oct. 2013.
 CFS, “Food Nutrient Calculator,’ 2014, accessed Dec. 2015, Available from: http://www.cfs.gov.hk/english/nutrient/fc-introduction.php: Centre for Food Safety.
 X. Wang, X. Lin, YY. Ouyang, J. Liu, G. Zhao, A. Pan, et al. “Red and processed meat consumption and mortality: dose-response meta-analysis of prospective cohort studies,” Public health nutrition, pp. 1-13, 2015.
 X. Wang, Y. Ouyang, J. Liu, M. Zhu, G. Zhao, W. Bao, et al. “Fruit and vegetable consumption and mortality from all causes, cardiovascular disease, and cancer: systematic review and dose-response meta-analysis of prospective cohort studies.” BMJ, pp. 349: g4490, 2014.
 I. Abete, D. Romaguera, AR. Vieira, A. Lopez de Munain, T. Norat, “Association between total, processed, red and white meat consumption and all-cause, CVD and IHD mortality: a meta-analysis of cohort studies.” British Journal of Nutrition, vol. 112, no. 5, pp.762-775, 2014.
 R. Micha, SK. Wallace, D. Mozaffarian, “Red and processed meat consumption and risk of incident coronary heart disease, stroke, and diabetes mellitus: a systematic review and meta-analysis.” Circulation, vol. 121, no. 21, pp.2271-2283, 2010.
 Y. Gan, X. Tong, L. Li, S. Cao, X. Yin, C. Gao, et al. “Consumption of fruit and vegetable and risk of coronary heart disease: a meta-analysis of prospective cohort studies.” Int J Cardiol, vol.183, pp129-137, 2015.
 GC, Chen, DB. Lv, Z. Pang, QF. Liu, “Red and processed meat consumption and risk of stroke: a meta-analysis of prospective cohort studies.” Eur J Clin Nutr., vol. 67, no. 1, pp. 91-95, 2013.
 D Hu, J. Huang, Y. Wang, D. Zhang, Y. Qu, “Fruits and vegetables consumption and risk of stroke: a meta-analysis of prospective cohort studies. Stroke.” vol. 45, no. 6, pp.1613-1619, 2014.
 EJ. Feskens, D, Sluik, GJ. van Woudenbergh, “Meat consumption, diabetes, and its complications. Current diabetes reports,” vol.13 no. 2, pp. 298-306, 2013.
 DS. Chan, R. Lau, D. Aune, R. Vieira, DC. Greenwood, E. Kampman, et al. “Red and processed meat and colorectal cancer incidence: meta-analysis of prospective studies,” PLoS ONE, vol. 6, no. 6 pp. e20456, 2011.
 SC. Larsson, N. Orsini, A. Wolk, “Processed meat consumption and stomach cancer risk: a meta-analysis,” J Natl Cancer Inst., vol. 98, no. 15, pp.1078-87, 2006.
 P. Song, M. Lu, Q.Y in, L. Wu, D. Zhang, B. Fu, et al. “Red meat consumption and stomach cancer risk: a meta-analysis,” Journal of cancer research and clinical oncology, vol. 140, no. 6, pp.979-992, 2014.
 EV. Bandera, LH. Kushi, DF. Moore, DM. Gifkins, ML. McCullough. “Consumption of animal foods and endometrial cancer risk: a systematic literature review and meta-analysis,’ Cancer Causes Control, vol. 18, no. 9, pp. 967-988, 2007.
 X. Qu, Q. Ben, Y. Jiang, “Consumption of red and processed meat and risk for esophageal squamous cell carcinoma based on a meta-analysis,” Annals of epidemiology, vol. 23, no. 12, pp. 762-770.e1, 2013.
 XJ, Xue, Q. Gao, JH. Qiao, J. Zhang, CP. Xu, J. Liu. “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., vol. 7, no. 6, pp. 1542-1553, 2014.
 Y. Wang, F. Li, Z. Wang, T. Qiu, Y. Shen, M. Wang. “Fruit and vegetable consumption and risk of lung cancer: a dose-response meta-analysis of prospective cohort studies,” Lung Cancer, vol. 88, no. 2, pp. 124-130, 2015.
 SC. Larsson, A. Wolk. “Red and processed meat consumption and risk of pancreatic cancer: meta-analysis of prospective studies,” Br J Cancer, vol. 106, no. 3, pp.603-607, 2012.
 J. Guo, W. Wei, L. Zhan, “Red and processed meat intake and risk of breast cancer: a meta-analysis of prospective studies,” Breast Cancer Res Treat, vol. 151, no. 1, pp. 91-8, 2015.
 GC. Chen, DB. Lv, Z. Pang, QF. Liu” “Fruits and vegetables consumption and risk of non-Hodgkin's lymphoma: a meta-analysis of observational studies,” Int J Cancer, vol. 133, no. 1, pp. 190-200, 2013.
 JE. Lee, S. Mannisto, D. Spiegelman, DJ. Hunter, L. Bernstein, PA. van den Brandt, et al. “Intakes of fruit, vegetables, and carotenoids and renal cell cancer risk: a pooled analysis of 13 prospective studies,” Cancer Epidemiol Biomarkers Prev., vol. 18, no. 6, pp. 1730-1739, 2009.
 Y. Yang, D. Zhang, N. Feng, G. Chen, J. Liu, G. Chen, et al. “Increased intake of vegetables, but not fruit, reduces risk for hepatocellular carcinoma: a meta-analysis,” Gastroenterology, vol. 147, no. 5, pp. 1031-1042, 2014