Abstract
The vast heterogeneity in dietary practices across China has led to profound regional disparities in health and environment. To address this issue, we developed a region-specific reference diet (RRD) that is better aligned with Chinese culinary traditions, affordable, sparing of natural and environmental resources, and contributes to health. The adoption of the RRD has proven to be a viable solution to facilitate a rapid transition towards a healthy and environmentally sustainable diet across the country when compared to dietary guidelines from the World Health Organization, the EAT-Lancet Commission and the Chinese Nutrition Society. The RRD improved health in all regions and resulted in reductions of all five environmental impacts measured. Given China’s huge population and its major impact on global sustainability, the widespread adoption of the RRD would not only yield substantial health benefits domestically, but also contribute significantly to global food security and sustainability efforts.
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Data availability
Datasets used in this study are all publicly available and are as follows: the Global Burden of Disease Study 2019 (https://vizhub.healthdata.org/gbd-results/), China Health and Nutrition Survey cohort (https://www.cpc.unc.edu/projects/china), FAOSTAT database (http://www.fao.org/faostat/#en/#dat), Carbon Emission Accounts and Datasets (https://www.ceads.net.cn/), the Second National Census of Pollution Sources in China from 2017 to 2020 (https://qikan.cqvip.com/Qikan/Article/Detail?id=7102867109), National Bureau of Statistics of China (https://www.stats.gov.cn/english/Statisticaldata/yearbook/) and Our World in Data (https://ourworldindata.org/). The regional data on production, transportation, retail, and waste and loss are derived from published yearbooks, including the China Agriculture Yearbook and the National Bureau of Statistics of China (https://www.stats.gov.cn/english/Statisticaldata/yearbook/). The multi-indicator LCA database is extracted from a previous report34. Source data are provided with this paper.
Code availability
The R v.4.0.3 codes used to generate the results and figures reported in this study are available from the lead author on reasonable request.
References
GBD 2019 Risk Factors Collaborators. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 396, 1223–1249 (2020).
Crippa, M. et al. Food systems are responsible for a third of global anthropogenic GHG emissions. Nat Food 2, 198–209 (2021).
Springmann, M. et al. The healthiness and sustainability of national and global food based dietary guidelines: modelling study. Br. Med. J. 370, m2322 (2020).
Hu, Y. et al. Food production in China requires intensified measures to be consistent with national and provincial environmental boundaries. Nature Food 1, 572–582 (2020).
Willett, W. et al. Food in the anthropocene: the EAT-Lancet Commission on healthy diets from sustainable food systems. Lancet 393, 447–492 (2019).
Tulloch, A. I. T. et al. How the EAT-Lancet Commission on food in the Anthropocene influenced discourse and research on food systems: a systematic review covering the first 2 years post-publication. Lancet Glob Health 11, e1125–e1136 (2023).
Hirvonen, K., Bai, Y., Headey, D. & Masters, W. A. Affordability of the EAT-Lancet reference diet: a global analysis. Lancet Glob. Health 8, e59–e66 (2020).
Hu, Y., Su, M. & Jiao, L. Peak and fall of China’s agricultural GHG emissions. J. Clean. Prod. 389, 136035 (2023).
Piao, S. et al. The impacts of climate change on water resources and agriculture in China. Nature 467, 43–51 (2010).
International Council for Science & International Social Science Council. Review of Targets for the Sustainable Development Goals: The Science Perspective (2015).
Teh, L., Cashion, T., Alava, J. J., Cheung, W. W. L. & Sumaila, U. R. Status, trends, and the future of fisheries in the east and south China Seas. Fisheries Centre Research Reports 27 (Institute for the Resources, Environment and Sustainability, 2019).
Wang, K., Reimer, M. N. & Wilen, J. E. Fisheries subsidies reform in China. Proc. Natl Acad. Sci. USA 120, e2300688120 (2023).
Fearnley, L. & Zheng, Z. Live poultry markets beyond health risks: understanding consumer preferences for live poultry in South China. Prev. Vet. Med. 221, 106060 (2023).
Zhang, H., Sun, C., Wang, Z. & Che, B. Seafood consumption patterns and affecting factors in urban China: a field survey from six cities. Aquac. Rep. 19, 100608 (2021).
Xu, Y., Zhang, Y., Ji, J., Xu, L. & Liang, Y. What drives the growth of China’s mariculture production? An empirical analysis of its coastal regions from 1983 to 2019. Environ. Sci. Pollut. Resea. 30, 111397–111409 (2023).
Stylianou, K. S., Fulgoni, V. L. & Jolliet, O. Small targeted dietary changes can yield substantial gains for human health and the environment. Nature Food 2, 616–627 (2021).
Gatto, A., Kuiper, M. & van Meijl, H. Economic, social and environmental spillovers decrease the benefits of a global dietary shift. Nature Food 4, 496–507 (2023).
EAT–Lancet 2.0 Commissioners et al. EAT-Lancet Commission 2.0: securing a just transition to healthy, environmentally sustainable diets for all. Lancet 402, 352–354 (2023).
Mi, Z. et al. Economic development and converging household carbon footprints in China. Nat. Sustain. 3, 529–537 (2020).
Hao, Y., Hu, X. & Chen, H. On the relationship between water use and economic growth in China: new evidence from simultaneous equation model analysis. J. Clean. Prod. 235, 953–965 (2019).
Pang, Z., Yan, D., Wang, T. & Kong, Y. Disparities and drivers of the water footprint of food consumption in China. Environ. Sci. Pollut. Res. 28, 62461–62473 (2021).
He, P., Baiocchi, G., Feng, K., Hubacek, K. & Yu, Y. Environmental impacts of dietary quality improvement in China. J. Environ. Manage. 240, 518–526 (2019).
Zhou, M. et al. Mortality, morbidity, and risk factors in China and its provinces, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 394, 1145–1158 (2019).
Rossi, F., Manfrini, L., Venturi, M., Grappadelli, L. C. & Morandi, B. Fruit transpiration drives interspecific variability in fruit growth strategies. Hortic. Res. 9, uhac036 (2022).
Dehghan, M. et al. Association of dairy intake with cardiovascular disease and mortality in 21 countries from five continents (PURE): a prospective cohort study. Lancet 392, 2288–2297 (2018).
Zhao, R. et al. Geographic variations in dietary patterns and their associations with overweight/obesity and hypertension in China: findings from China Nutrition and Health Surveillance (2015–2017). Nutrients 14, 3949 (2022).
Aliyu, G. et al. Nitrous oxide emissions from China’s croplands based on regional and crop-specific emission factors deviate from IPCC 2006 estimates. Sci. Total Environ. 669, 547–558 (2019).
Zhang, Y. et al. Observed changes in China’s methane emissions linked to policy drivers. Proc. Natl Acad. Sci. USA 119, e2202742119 (2022).
Tang, R. et al. Air quality and health co-benefits of China’s carbon dioxide emissions peaking before 2030. Nat. Commun. 13, 1008 (2022).
Shan, Y. C. & Guan, D. (creators). China Emission Accounts and Datasets (CEADs) (Energy and Sustainability Research Institute Groningen, 2016).
Zheng, B. et al. Trends in China’s anthropogenic emissions since 2010 as the consequence of clean air actions. Atmos. Chem. Phys. 18, 14095–14111 (2018).
Li, M. et al. Anthropogenic emission inventories in China: a review. Natl Sci. Rev. 4, 834–866 (2017).
Bai, X. et al. Translating Earth system boundaries for cities and businesses. Nat. Sustain. 7, 108–119 (2024).
Poore, J. & Nemecek, T. Reducing food’s environmental impacts through producers and consumers. Science. 360, 987–992 (2018).
Springmann, M. et al. Health and nutritional aspects of sustainable diet strategies and their association with environmental impacts: a global modelling analysis with country-level detail. Lancet. Planet. Health 2, e451–e461 (2018).
Springmann, M. et al. Options for keeping the food system within environmental limits. Nature 562, 519–525 (2018).
Wollenberg, E. et al. Reducing emissions from agriculture to meet the 2 °C target. Global Change Biol. 22, 3859–3864 (2016).
Phang, S. C., Failler, P. & Bridgewater, P. Addressing the implementation challenge of the global biodiversity framework. Biodivers. Conserv. 29, 3061–3066 (2020).
Liu, M. et al. Trends of precipitation acidification and determining factors in China during 2006–2015. J. Geophys. Res. Atmos. 125, e2019JD031301 (2020).
de Vries, F. T. et al. Soil food web properties explain ecosystem services across European land use systems. Proc. Natl Acad. Sci. USA 110, 14296–14301 (2013).
Duan, H. et al. Association of unhealthy lifestyle and genetic risk factors with mild cognitive impairment in Chinese older adults. JAMA Netw. Open 6, e2324031 (2023).
GBD 2017 Risk Factor Collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 392, 1923–1994 (2018).
Bekkers, E., Brockmeier, M., Francois, J. & Yang, F. Local food prices and international price transmission. World Dev. 96, 216–230 (2017).
Lopez Barrera, E. & Hertel, T. Solutions to the double burden of malnutrition also generate health and environmental benefits. Nat. Food 4, 616–624 (2023).
Tyralis, H. & Papacharalampous, G. Variable selection in time series forecasting using random forests. Algorithms 10, 114 (2017).
Liaw, A. & Wiener, M. C. Classification and regression by randomForest. R News 2, 18–22 (2002).
NCD Countdown 2030 Collaborators. NCD Countdown 2030: pathways to achieving Sustainable Development Goal target 3.4 in low-income and middle-income countries. Lancet 396, 918–934 (2020).
Acknowledgements
This work was supported by the Distinguished Young Scholars of the National Natural Science Foundation of China (Overseas, 21HAA01094), the Guangzhou Science and Technology Project (2024A04J6477) and Fundamental Research Funds for the Central Universities, Sun Yat-sen University (22hytd03).
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Y.L. and M.X. designed the study. B.Y., Q.X., J.Y. and J.H. prepared and analysed the data. B.Y., Z.H., J.H., L.L., M.X. and Y.L. drafted the manuscript and Y.L. revised the manuscript. All authors made substantial contributions to the intellectual content of the paper and approved the final version of the manuscript.
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Nature Food thanks Fabrice DeClerck, Brent Loken and David Love for their contribution to the peer review of this work.
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Ye, B., Xiong, Q., Yang, J. et al. Adoption of region-specific diets in China can help achieve gains in health and environmental sustainability. Nat Food 5, 764–774 (2024). https://doi.org/10.1038/s43016-024-01038-2
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DOI: https://doi.org/10.1038/s43016-024-01038-2
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