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Epidemiology

Dietary patterns and cardiovascular disease risk among Chinese adults: a prospective cohort study

Abstract

Background and objective

We aimed to examine the prospective association between dietary patterns and cardiovascular disease (CVD) risk in Chinese adults.

Methods

Adults aged ≥20 years in the China Health and Nutrition Survey (open cohort) were followed between 1991 and 2011. Participants may enter the cohort at any wave. Dietary intakes were obtained from a 3-day, 24-h recall combined with household weighing for oil and condiments. CVD was defined as having either myocardial infarction or stroke. Two sets of dietary patterns were derived using reduced rank regression and factor analysis. Iron-related dietary pattern (IDP) was generated using iron intake as a response variable. Multivariable Cox regression was used to analyse the relation between dietary patterns and CVD risk.

Results

In total, 13,055 adults were followed for a median of 9 years. During 115,368 person years of follow-up, 502 participants developed CVD. Two dietary patterns were derived and labeled as traditional dietary pattern (high intake of rice, pork, fish, poultry, and fresh vegetable but low intake of wheat) and modern dietary pattern (high intake of fruit, soymilk, and fast food). Across the quartiles of intake, the hazard ratio (95% CI) for CVD were 1.0, 0.84 (0.64–1.10), 0.57 (0.42–0.77), and 0.58 (0.42–0.79) for traditional pattern (p for trend <0.001) and 1.0, 1.56 (1.16–2.09), 1.56 (1.13–2.14), and 1.68 (1.16–2.44) (p for trend = 0.118) for modern pattern. IDP was characterised by high intake of fresh vegetable, wheat, legume, beverage, offal, rice, and whole grain. IDP intake was not associated CVD. Comparing extreme quartiles, high rice intake was associated with halved while wheat intake was associated with a doubled risk of CVD.

Conclusions

Traditional dietary pattern and rice intake are inversely but modern dietary pattern and wheat is directly associated with CVD risk. IDP is not related to CVD in Chinese adults.

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References

  1. National Center for Cardiovascular Diseases. Report on cardiovascular diseases in China, 2014. Encyclopedia of China Publishing House: Beijing, 2015.

  2. Li Y, Wang DD, Ley SH, Howard AG, He Y, Lu Y, et al. Potential impact of time trend of life-style factors on cardiovascular disease burden in China. J Am Coll Cardiol. 2016;68:818–833. https://doi.org/10.1016/j.jacc.2016.06.011.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Yang ZJ, Liu J, Ge JP, Chen L, Zhao ZG, Yang WY, et al. Prevalence of cardiovascular disease risk factor in the Chinese population: the 2007–2008 China National Diabetes and Metabolic Disorders Study. Eur Heart J. 2012;33:213–20. https://doi.org/10.1093/eurheartj/ehr205.

    Article  PubMed  Google Scholar 

  4. Zhao W, Chen J. Implications from and for food cultures for cardiovascular disease: diet, nutrition and cardiovascular diseases in China. Asia Pac J Clin Nutr. 2001;10:146–52.

    Article  CAS  Google Scholar 

  5. Zhai F, Wang H, Du S, He Y, Wang Z, Ge K. et al. Prospective study on nutrition transition in China. Nutr Rev. 2009;67(Suppl 1):S56–61. https://doi.org/10.1111/j.1753-4887.2009.00160.x.

    Article  PubMed  Google Scholar 

  6. Chen WW, Gao RL, Liu LS, Zhu ML, Wang W, Wang YJ, et al. China cardiovascular diseases report 2015: a summary. J Geriatr Cardiol. 2017;14:1–10. https://doi.org/10.11909/j.issn.1671-5411.2017.01.012.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Ye Q, Hong X, Wang Z, Qin Z, Li C, Lai Y, et al. Joint associations of dietary pattern and television viewing with CVD risk factors among urban men and women in China: a cross-sectional study. Br J Nutr. 2018;119:74–82. https://doi.org/10.1017/S0007114517003075.

    Article  CAS  PubMed  Google Scholar 

  8. Sun J, Buys N, Shen S. Dietary patterns and cardiovascular disease-related risks in chinese older adults. Front Public Health. 2013;1:48. https://doi.org/10.3389/fpubh.2013.00048.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Yu D, Zhang X, Shu XO, Cai H, Li H, Ding D, et al. Dietary glycemic index, glycemic load, and refined carbohydrates are associated with risk of stroke: a prospective cohort study in urban Chinese women. Am J Clin Nutr. 2016;104:1345–51. https://doi.org/10.3945/ajcn.115.129379.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Sullivan JL. Iron and the sex difference in heart disease risk. Lancet. 1981;1:1293–4.

    Article  CAS  Google Scholar 

  11. Munoz-Bravo C, Gutierrez-Bedmar M, Gomez-Aracena J, Garcia-Rodriguez A, Navajas JF. Iron: protector or risk factor for cardiovascular disease? Still controversial. Nutrients. 2013;5:2384–404. https://doi.org/10.3390/nu5072384.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Bao W, Rong Y, Rong S, Liu L. Dietary iron intake, body iron stores, and the risk of type 2 diabetes: a systematic review and meta-analysis. BMC Med. 2012;10:119. https://doi.org/10.1186/1741-7015-10-119.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Low Wang CC, Hess CN, Hiatt WR, Goldfine AB. Clinical update: cardiovascular disease in diabetes mellitus: atherosclerotic cardiovascular disease and heart failure in type 2 diabetes mellitus—mechanisms, management, and clinical considerations. Circulation. 2016;133:2459–502. https://doi.org/10.1161/CIRCULATIONAHA.116.022194.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Fang X, An P, Wang H, Wang X, Shen X, Li X, et al. Dietary intake of heme iron and risk of cardiovascular disease: a dose-response meta-analysis of prospective cohort studies. Nutr Metab Cardiovasc Dis. 2015;25:24–35. https://doi.org/10.1016/j.numecd.2014.09.002.

    Article  CAS  PubMed  Google Scholar 

  15. Zhang W, Iso H, Ohira T, Date OC, Tanabe N, Kikuchi S, et al. Associations of dietary iron intake with mortality from cardiovascular disease: the JACC study. J Epidemiol. 2012;22:484–93.

    Article  Google Scholar 

  16. Newby PK, Tucker KL. Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev 2004;62:177–203.

    Article  CAS  Google Scholar 

  17. Hoffmann K, Schulze MB, Schienkiewitz A, Nothlings U, Boeing H. Application of a new statistical method to derive dietary patterns in nutritional epidemiology. Am J Epidemiol. 2004;159:935–44.

    Article  Google Scholar 

  18. Krittanawong C, Tunhasiriwet A, Zhang H, Prokop LJ, Chirapongsathorn S, Sun T, et al. Is white rice consumption a risk for metabolic and cardiovascular outcomes? A systematic review and meta-analysis. Heart Asia. 2017;9:e010909. https://doi.org/10.1136/heartasia-2017-010909.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Zhai FY, Du SF, Wang ZH, Zhang JG, Du WW, Popkin BM. Dynamics of the Chinese diet and the role of urbanicity, 1991-2011. Obes Rev. 2014;15(Suppl 1):16–26. https://doi.org/10.1111/obr.12124.

    Article  PubMed  Google Scholar 

  20. Popkin BM, Du S, Zhai F, Zhang B. Cohort Profile: The China Health and Nutrition Survey–monitoring and understanding socio-economic and health change in China, 1989–2011. Int J Epidemiol. 2010;39:1435–40. https://doi.org/10.1093/ije/dyp322.

    Article  PubMed  Google Scholar 

  21. Benjamin EJ, Muntner P, Alonso A, Bittencourt MS, Callaway CW, Carson AP, et al. Heart disease and stroke statistics-2019 update: a report From the American Heart Association. Circulation. 2019;139:e56–528. https://doi.org/10.1161/CIR.0000000000000659.

    Article  PubMed  Google Scholar 

  22. Yang Y. Chinese Food Composition Table 2004. Peking University Medical Press: Beijing, 2005.

  23. Shi Z, Taylor AW, Riley M, Byles J, Liu J, Noakes M. Association between dietary patterns, cadmium intake and chronic kidney disease among adults. Clin Nutr. 2018;37:276–84. https://doi.org/10.1016/j.clnu.2016.12.025.

    Article  CAS  PubMed  Google Scholar 

  24. Hu FB, Stampfer MJ, Rimm E, Ascherio A, Rosner BA, Spiegelman D, et al. Dietary fat and coronary heart disease: a comparison of approaches for adjusting for total energy intake and modeling repeated dietary measurements. Am J Epidemiol. 1999;149:531–40. https://doi.org/10.1093/oxfordjournals.aje.a009849.

    Article  CAS  PubMed  Google Scholar 

  25. Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ. et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000;32(9 Suppl):S498–504.

    Article  CAS  Google Scholar 

  26. Li M, Shi Z. Dietary pattern during 1991–2011 and its association with cardio metabolic risks in chinese adults: The China Health and Nutrition Survey. Nutrients 2017; 9. https://doi.org/10.3390/nu9111218.

  27. Shi Z, Zhen S, Qi L, Zhou Y, Taylor AW. Association between rice intake and all-cause mortality among Chinese adults: findings from the Jiangsu Nutrition Study. Asia Pac J Clin Nutr. 2017;26:1152–7. https://doi.org/10.6133/apjcn.012017.05.

    Article  PubMed  Google Scholar 

  28. Shi Z, Taylor AW, Hu G, Gill T, Wittert GA. Rice intake, weight change and risk of the metabolic syndrome development among Chinese adults: the Jiangsu Nutrition Study (JIN). Asia Pac J Clin Nutr. 2012;21:35–43.

    CAS  PubMed  Google Scholar 

  29. Shi Z, Yuan B, Hu G, Dai Y, Zuo H, Holmboe-Ottesen G. Dietary pattern and weight change in a 5-year follow-up among Chinese adults: results from the Jiangsu Nutrition Study. Br J Nutr.2011;105:1047–54. https://doi.org/10.1017/S0007114510004630.

    Article  CAS  PubMed  Google Scholar 

  30. Wang ZH, Zhai FY, Wang HJ, Zhang JG, Du WW, Su C, et al. Secular trends in meat and seafood consumption patterns among Chinese adults, 1991–2011. Eur J Clin Nutr. 2015;69:227–33. https://doi.org/10.1038/ejcn.2014.225.

    Article  CAS  PubMed  Google Scholar 

  31. Greenhalgh S. Making China safe for Coke: how Coca-Cola shaped obesity science and policy in China. BMJ. 2019;364:k5050. https://doi.org/10.1136/bmj.k5050.

    Article  Google Scholar 

  32. Du H, Li L, Bennett D, Guo Y, Key TJ, Bian Z, et al. Fresh fruit consumption and major cardiovascular disease in China. N Engl J Med. 2016;374:1332–43. https://doi.org/10.1056/NEJMoa1501451.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Tian X, Du H, Li L, Bennett D, Gao R, Li S, et al. Fruit consumption and physical activity in relation to all-cause and cardiovascular mortality among 70,000 Chinese adults with pre-existing vascular disease. PLoS ONE. 2017;12:e0173054. https://doi.org/10.1371/journal.pone.0173054.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Lyu Y, Luo Y, Li C, Guo X, Lu J, Wu H, et al. Regional differences in the prevalence of coronary heart disease and stroke in patients with type 2 diabetes in China. J Clin Endocrinol Metab. 2018;103:3319–30. https://doi.org/10.1210/jc.2018-00422.

    Article  PubMed  Google Scholar 

  35. Muraki I, Wu H, Imamura F, Laden F, Rimm EB, Hu FB, et al. Rice consumption and risk of cardiovascular disease: results from a pooled analysis of 3 U.S. cohorts. Am J Clin Nutr. 2015;101:164–72. https://doi.org/10.3945/ajcn.114.087551.

    Article  CAS  PubMed  Google Scholar 

  36. Eshak ES, Iso H, Yamagishi K, Kokubo Y, Saito I, Yatsuya H, et al. Rice consumption is not associated with risk of cardiovascular disease morbidity or mortality in Japanese men and women: a large population-based, prospective cohort study. Am J Clin Nutr. 2014;100:199–207. https://doi.org/10.3945/ajcn.113.079038.

    Article  CAS  PubMed  Google Scholar 

  37. Soriguer F, Colomo N, Olveira G, Garcia-Fuentes E, Esteva I, Ruiz de Adana MS, et al. White rice consumption and risk of type 2 diabetes. Clin Nutr. 2013;32:481–4. https://doi.org/10.1016/j.clnu.2012.11.008.

    Article  CAS  PubMed  Google Scholar 

  38. Pedron T, Freire BM, Castro CE, Ribal LF, Batista BL. Availability of arsenic in rice grains by in vitro and in vivo (humans) assays. J Trace Elem Med Biol. 2019;56:184–91. https://doi.org/10.1016/j.jtemb.2019.08.014.

    Article  CAS  PubMed  Google Scholar 

  39. Sun L, Zong G, Pan A, Ye X, Li H, Yu Z, et al. Elevated plasma ferritin is associated with increased incidence of type 2 diabetes in middle-aged and elderly Chinese adults. J Nutr. 2013;143:1459–65. https://doi.org/10.3945/jn.113.177808.

    Article  CAS  PubMed  Google Scholar 

  40. Luan de C, Li H, Li SJ, Zhao Z, Li X, Liu ZM. Body iron stores and dietary iron intake in relation to diabetes in adults in North China. Diabetes Care. 2008;31:285–6. https://doi.org/10.2337/dc07-0921

    Article  PubMed  Google Scholar 

  41. Shi Z, Hu X, Yuan B, Pan X, Meyer HE, Holmboe-Ottesen G. Association between serum ferritin, hemoglobin, iron intake, and diabetes in adults in Jiangsu, China. Diabetes Care. 2006;29:1878–83. https://doi.org/10.2337/dc06-0327.

    Article  CAS  PubMed  Google Scholar 

  42. Chen L, Li Y, Zhang F, Zhang S, Zhou X, Ji L. Elevated serum ferritin concentration is associated with incident type 2 diabetes mellitus in a Chinese population: a prospective cohort study. Diabetes Res Clin Pract. 2018;139:155–62. https://doi.org/10.1016/j.diabres.2018.03.001.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

This research uses open access data from China Health and Nutrition Survey (CHNS).

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ZS contributed to the conception, analysis, and interpretation of data; drafting of the report; and have given approval of the final version for publication. VG contributed to analysis and interpretation of the data, commented on the report, revising the manuscript and approving the final version for publication.

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Correspondence to Zumin Shi.

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Shi, Z., Ganji, V. Dietary patterns and cardiovascular disease risk among Chinese adults: a prospective cohort study. Eur J Clin Nutr 74, 1725–1735 (2020). https://doi.org/10.1038/s41430-020-0668-6

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