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Chinese healthy diet and cardiometabolic multimorbidity risks: a prospective cohort study from the China Health and Nutrition Survey

Published online by Cambridge University Press:  15 September 2025

Xiaofan Zhang
Affiliation:
National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China Key Laboratory of Public Nutrition and Health, National Health Commission of the People’s Republic of China, Beijing, People’s Republic of China
Huijun Wang
Affiliation:
National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China Key Laboratory of Public Nutrition and Health, National Health Commission of the People’s Republic of China, Beijing, People’s Republic of China
Yuna He
Affiliation:
National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China Key Laboratory of Public Nutrition and Health, National Health Commission of the People’s Republic of China, Beijing, People’s Republic of China
Jiguo Zhang
Affiliation:
National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China Key Laboratory of Public Nutrition and Health, National Health Commission of the People’s Republic of China, Beijing, People’s Republic of China
Xiaofang Jia
Affiliation:
National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China Key Laboratory of Public Nutrition and Health, National Health Commission of the People’s Republic of China, Beijing, People’s Republic of China
Feifei Huang
Affiliation:
National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China Key Laboratory of Public Nutrition and Health, National Health Commission of the People’s Republic of China, Beijing, People’s Republic of China
Yifei Ouyang
Affiliation:
National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China Key Laboratory of Public Nutrition and Health, National Health Commission of the People’s Republic of China, Beijing, People’s Republic of China
Bing Zhang
Affiliation:
National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China Key Laboratory of Public Nutrition and Health, National Health Commission of the People’s Republic of China, Beijing, People’s Republic of China
Xiong Xiao
Affiliation:
West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, People’s Republic of China
Qiqi Wang
Affiliation:
Office of Epidemiology, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
Ning Zhang
Affiliation:
West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, People’s Republic of China
Hongmei Zhang
Affiliation:
West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, People’s Republic of China
Fangxu Guan
Affiliation:
National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China Key Laboratory of Public Nutrition and Health, National Health Commission of the People’s Republic of China, Beijing, People’s Republic of China
Yanli Wei
Affiliation:
National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China Key Laboratory of Public Nutrition and Health, National Health Commission of the People’s Republic of China, Beijing, People’s Republic of China
Yuan Zhang
Affiliation:
West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, People’s Republic of China
Xing Zhao
Affiliation:
West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, People’s Republic of China
Chang Su*
Affiliation:
National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China Key Laboratory of Public Nutrition and Health, National Health Commission of the People’s Republic of China, Beijing, People’s Republic of China
*
Corresponding author: Chang Su; Email: suchang@ninh.chinacdc.cn

Abstract

To explore the longitudinal associations between a Chinese healthy diet and the progression of cardiometabolic multimorbidity (CMM) development among Chinese adults. A prospective analysis was conducted utilising data from 18 720 participants in the China Health and Nutrition Survey, spanning from 1997 to 2018. Dietary data were collected by three consecutive 24-h dietary recalls combined with the weighing method. A Chinese healthy diet score was developed by assigning scores to various food components. CMM was defined as the coexistence of two or more cardiometabolic diseases (CMD), including myocardial infarction, stroke and type 2 diabetes, diagnosed through blood indicators and clinical diagnosis. We employed a multistate model to examine the associations between the Chinese healthy diet and the longitudinal progression from being free of CMD to first CMD and then to CMM. Quantile G-computation was utilised to evaluate the relative contribution of each food component. Over a median follow-up period of 7·3 years, 2214 (11·8 %) participants developed first CMD, and 156 (0·83 %) progressed to CMM. Comparing participants in the highest quintile of dietary scores with those in the lowest, we observed a 55 % lower risk of transitioning from baseline to CMM (HR = 0·45, 95 % CI: 0·23, 0·87) and a 60 % lower risk of transition from first CMD to CMM (HR = 0·40, 95 % CI: 0·20, 0·81). Fresh fruits contributed to 42·8 and 43·0 % for delaying CMM and transition from first CMD to CMM, respectively. Our study revealed that greater adherence to the Chinese healthy diet is negatively associated with the risk of CMM.

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Type
Research Article
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of the Nutrition Society

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References

Skou, ST, Mair, FS, Fortin, M, et al. (2022) Multimorbidity. Nat Rev Dis Primers 8, 48.Google Scholar
Di Angelantonio, E, Kaptoge, S, Wormser, D, et al. (2015) Association of cardiometabolic multimorbidity with mortality. JAMA 314, 5260.Google Scholar
Cheng, X, Ma, T, Ouyang, F, et al. (2022) Trends in the prevalence of cardiometabolic multimorbidity in the United States, 1999–2018. Int J Environ Res Public Health 19, 4726.Google Scholar
Zhang, D, Tang, X, Shen, P, et al. (2019) Multimorbidity of cardiometabolic diseases: prevalence and risk for mortality from one million Chinese adults in a longitudinal cohort study. BMJ Open 9, e024476.Google Scholar
Dove, A & Xu, W (2023) Cardiometabolic multimorbidity and cognitive decline. Lancet Healthy Longev 4, e241e242.Google Scholar
Tai, XY, Veldsman, M, Lyall, DM, et al. (2022) Cardiometabolic multimorbidity, genetic risk, and dementia: a prospective cohort study. Lancet Healthy Longev 3, e428e436.Google Scholar
Otieno, P, Asiki, G, Aheto, JMK, et al. (2023) Cardiometabolic multimorbidity associated with moderate and severe disabilities: results from the Study on Global AGEing and Adult Health (SAGE) wave 2 in Ghana and South Africa. Glob Heart 18, 9.Google Scholar
He, H, Tu, R, Chen, H, et al. (2024) Longitudinal trajectories of disability among Chinese adults: the role of cardiometabolic multimorbidity. Aging Clin Exp Res 36, 79.Google Scholar
Fan, J, Sun, Z, Yu, C, et al. (2022) Multimorbidity patterns and association with mortality in 0·5 million Chinese adults. Chin Med J (Engl) 135, 648657.Google Scholar
Pagidipati, NJ, Taub, PR, Ostfeld, RJ, et al. (2025) Dietary patterns to promote cardiometabolic health. Nat Rev Cardiol 22, 3846.Google Scholar
Bundy, JD, Zhu, Z, Ning, H, et al. (2021) Estimated impact of achieving optimal cardiovascular health among us adults on cardiovascular disease events. J Am Heart Assoc 10, e019681.Google Scholar
Wang, Q, Schmidt, AF, Lennon, LT, et al. (2023) Prospective associations between diet quality, dietary components, and risk of cardiometabolic multimorbidity in older British men. Eur J Nutr 62, 27932804.Google Scholar
Zhang, M, Wu, J, Zhang, X, et al. (2021) Prevalence and control of hypertension in adults in China, 2018. Chin J Epidemiol 42, 17801789.Google Scholar
China Cardiovascular Health Alliance & National Center for Chronic and Noncommunicable Disease Control and Prevention (2023) China Cardiovascular Health Index 2023 [Conference Report]. 17th Oriental Congress of Cardiology, Shanghai, China, 2023.Google Scholar
National Health Commission (2022) China Health Statistics Yearbook 2022. Beijing: China Union Medical University Press.Google Scholar
Popkin, BM, Du, S, Zhai, F, et al. (2010) Cohort Profile: the China Health and Nutrition Survey--monitoring and understanding socio-economic and health change in China, 1989–2011. Int J Epidemiol 39, 14351440.Google Scholar
Li, YP, He, YN, Zhai, FY, et al. (2006) Comparison of assessment of food intakes by using 3 dietary survey methods. Chin J Prev Med 40, 273280.Google Scholar
Yang, Y (2005) China Food Composition 2004, 1st ed. Beijing: Beijing Medical University Press.Google Scholar
Fung, TT, Chiuve, SE, McCullough, ML, et al. (2008) Adherence to a DASH-style diet and risk of coronary heart disease and stroke in women. Arch Intern Med 168, 713720.Google Scholar
Zhu, ZN, He, YN, Su, DT, et al. (2021) A food variety scoring method for screening the insufficiency of micronutrients among population. Acta Nutrimenta Sinica 43, 604608+614.Google Scholar
Diabetes Society of Chinese Medical Association (2021) Guideline for the prevention and treatment of type 2 diabetes mellitus in China (2020 edition). Chin J Diabetes 13, 315409.Google Scholar
Canoy, D, Tran, J, Zottoli, M, et al. (2021) Association between cardiometabolic disease multimorbidity and all-cause mortality in 2 million women and men registered in UK general practices. BMC Med 19, 258.Google Scholar
Han, Y, Hu, Y, Yu, C, et al. (2021) Lifestyle, cardiometabolic disease, and multimorbidity in a prospective Chinese study. Eur Heart J 42, 33743384.Google Scholar
Putter, H, Fiocco, M & Geskus, RB (2007) Tutorial in biostatistics: competing risks and multi-state models. Stat Med 26, 23892430.Google Scholar
de Wreede, LC, Fiocco, M & Putter, H (2010) The mstate package for estimation and prediction in non- and semi-parametric multi-state and competing risks models. Comput Methods Programs Biomed 99, 261274.Google Scholar
Zhang, N, Liu, X, Wang, L, et al. (2024) Lifestyle factors and their relative contributions to longitudinal progression of cardio-renal-metabolic multimorbidity: a prospective cohort study. Cardiovasc Diabetol 23, 265.Google Scholar
Jiang, M, Tian, S, Liu, S, et al. (2024) Accelerated biological aging elevates the risk of cardiometabolic multimorbidity and mortality. Nat Cardiovasc Res 3, 332342.Google Scholar
Keil, AP, Buckley, JP, O’Brien, KM, et al. (2020) A quantile-based g–computation approach to addressing the effects of exposure mixtures. Environ Health Perspect 128, 47004.Google Scholar
Li, S, Guo, B, Jiang, Y, et al. (2023) Long-term exposure to ambient PM2.5 and its components associated with diabetes: evidence from a large population-based cohort from China. Diabetes Care 46, 111119.Google Scholar
Wang, D (2023) Establishment of Eastern Healthy Diet Index and its Correlation with Hypertension. Baoding, China: Hebei University.Google Scholar
Luo, Y, Wang, J, Sun, L, et al. (2022) Isocaloric-restricted Mediterranean diet and Chinese diets high or low in plants in adults with prediabetes. J Clin Endocrinol Metab 107, 22162227.Google Scholar
Roche, ML, Creed-Kanashiro, HM, Tuesta, I, et al. (2008) Traditional food diversity predicts dietary quality for the Awajún in the Peruvian Amazon. Public Health Nutr 11, 457465.Google Scholar
Narita, M, Kitamura, A, Takemi, Y, et al. (2020) Food diversity and its relationship with nutrient intakes and meal days involving staple foods, main dishes, and side dishes in community-dwelling elderly adults. Nihon Koshu Eisei Zasshi 67, 171182.Google Scholar
Dello Russo, M, Formisano, A, Lauria, F, et al. (2023) Dietary diversity and its association with diet quality and health status of European children, adolescents, and adults: results from the I.Family study. Foods 12, 4458.Google Scholar
Vadiveloo, M, Parekh, N & Mattei, J (2015) Greater healthful food variety as measured by the US Healthy Food Diversity index is associated with lower odds of metabolic syndrome and its components in US adults. J Nutr 145, 564571.Google Scholar
Zhao, W, Zhang, J, Zhao, A, et al. (2018) Using an introduced index to assess the association between food diversity and metabolic syndrome and its components in Chinese adults. BMC Cardiovasc Disord 18, 189.Google Scholar
Sarkar, D, Walker-Swaney, J & Shetty, K (2020) Food diversity and indigenous food systems to combat diet-linked chronic diseases. Curr Dev Nutr 4, 311.Google Scholar
Mozaffarian, D (2016) Dietary and policy priorities for cardiovascular disease, diabetes, and obesity: a comprehensive review. Circulation 133, 187225.Google Scholar
Badimon, L, Chagas, P & Chiva-Blanch, G (2019) Diet and cardiovascular disease: effects of foods and nutrients in classical and emerging cardiovascular risk factors. Curr Med Chem 26, 36393651.Google Scholar
He, Y, Li, Y, Yang, X, et al. (2019) The dietary transition and its association with cardiometabolic mortality among Chinese adults, 1982–2012: a cross-sectional population-based study. Lancet Diabetes Endocrinol 7, 540548.Google Scholar
Wang, J, Liu, F, Li, J, et al. (2022) Fruit and vegetable consumption, cardiovascular disease, and all-cause mortality in China. Sci China Life Sci 65, 119128.Google Scholar
Miller, V, Mente, A, Dehghan, M, et al. (2017) Fruit, vegetable, and legume intake, and cardiovascular disease and deaths in 18 countries (PURE): a prospective cohort study. Lancet 390, 20372049.Google Scholar
Link, LB & Potter, JD (2004) Raw v. cooked vegetables and cancer risk. Cancer Epidemiol Biomarkers Prev 13, 14221435.Google Scholar
Guo, J, Astrup, A, Lovegrove, JA, et al. (2017) Milk and dairy consumption and risk of cardiovascular diseases and all-cause mortality: dose-response meta-analysis of prospective cohort studies. Eur J Epidemiol 32, 269287.Google Scholar
Chen, W, Zhang, S, Hu, X, et al. (2023) A review of healthy dietary choices for cardiovascular disease: from individual nutrients and foods to dietary patterns. Nutrients 15, 4898.Google Scholar
Shahu, A, Okunrintemi, V, Tibuakuu, M, et al. (2021) Income disparity and utilization of cardiovascular preventive care services among U.S. adults. Am J Prev Cardiol 8, 100286.Google Scholar
Metcalfe, JJ, McCaffrey, J, Schumacher, M, et al. (2022) Community-based nutrition education and hands-on cooking intervention increases farmers’ market use and vegetable servings. Public Health Nutr 25, 26012613.Google Scholar
Vedanthan, R, Bansilal, S, Soto, AV, et al. (2016) Family-based approaches to cardiovascular health promotion. J Am Coll Cardiol 67, 17251737.Google Scholar
Alkerwi, A, Vernier, C, Sauvageot, N, et al. (2015) Demographic and socioeconomic disparity in nutrition: application of a novel Correlated Component Regression approach. BMJ Open 5, e006814.Google Scholar
Zhai, F, Ma, L, Yu, W, et al. (1996) The evaluation of the 24-hour individual dietary recall method in China. J Hyg Res 1, 5156.Google Scholar
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