Abstract
Objectives
The relations of variety and quantity of dietary proteins intake from different sources with mortality risk were still controversial. We aimed to examine the associations of variety and quantity of different sourced proteins with all-cause mortality risk in adults and older adults.
Materials and Methods
17,310 participants (mean age was 44.0 [SD: 15.9] years and 51.0% were females) with utilizable data from the China Health and Nutrition Survey were included. Dietary intake was collected using three consecutive 24-h dietary recalls combined with a household food inventory. The variety score of protein sources was defined as the number of proteins consumed at the appropriate level, accounting for both types and quantity of proteins. The primary outcome was all-cause mortality.
Results
Over a median follow-up of 9.0 years, 1324 (7.6%) death cases were reported. There were reversed J-shaped relationships of percentages energy from total protein, and protein from legume with all-cause mortality; U-shaped relationships of proteins from unprocessed red meat, processed red meat, poultry and whole grain with all-cause mortality; L-shaped relationships of proteins from egg and fish with all-cause mortality; and a reversed L-shaped relationship of protein from refined grain with all-cause mortality (all P values for nonlinearity< 0.001). Moreover, there was a significant inverse association between the variety score of protein sources with overall mortality risk (per score increment, HR, 0.69; 95%CI, 0.66–0.72).
Conclusions
Greater variety of proteins with appropriate quantity from different food sources was associated with significantly lower risk of mortality in Chinese adults and older adults.
Similar content being viewed by others
Availability of data and materials: The datasets used and analyzed in the current study are available in the CHNS official website (http://www.cpc.unc.edu/projects/china).
Availability of data and materials: The datasets used and analyzed in the current study are available in the CHNS official website (http://www.cpc.unc.edu/projects/china), the computing code and other materials that support the findings of this study will be available from the corresponding authors on 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. 2020;396(10258):1223–1249. doi: https://doi.org/10.1016/S0140-6736(20)30752-2.
Leidy HJ, Clifton PM, Astrup A, et al. The role of protein in weight loss and maintenance. Am J Clin Nutr. 2015;101(6):1320S-1329S. doi: https://doi.org/10.3945/ajcn.114.084038.
Rebholz CM, Friedman EE, Powers LJ, Arroyave WD, He J, Kelly TN. Dietary protein intake and blood pressure: a meta-analysis of randomized controlled trials. Am J Epidemiol. 2012;176(suppl 7): S27–S43. doi: https://doi.org/10.1093/aje/kws245.
Kelemen LE, Kushi LH, Jacobs DR, Cerhan JR. Associations of dietary protein with disease and mortality in a prospective study of postmenopausal women. Am J Epidemiol. 2005;161(3):239–49. doi: https://doi.org/10.1093/aje/kwi038.
Song M, Fung TT, Hu FB, et al. Association of Animal and Plant Protein Intake With All-Cause and Cause-Specific Mortality. JAMA Intern Med. 2016;176(10):1453–1463. doi: https://doi.org/10.1001/jamainternmed.2016.4182.
Budhathoki S, Sawada N, Iwasaki M, et al. Association of Animal and Plant Protein Intake With All-Cause and Cause-Specific Mortality in a Japanese Cohort. JAMA Intern Med. 2019;179(11):1509–1518. doi: https://doi.org/10.1001/jamainternmed.2019.2806.
Kurihara A, Okamura T, Sugiyama D, et al. Vegetable Protein Intake was Inversely Associated with Cardiovascular Mortality in a 15-Year Follow-Up Study of the General Japanese Population. J Atheroscler Thromb. 2019;26(2):198–206. doi: https://doi.org/10.5551/jat.44172.
Huang J, Liao LM, Weinstein SJ, Sinha R, Graubard BI, Albanes D. Association Between Plant and Animal Protein Intake and Overall and Cause-Specific Mortality. JAMA Intern Med. 2020;180(9):1173–1184. doi: https://doi.org/10.1001/jamainternmed.2020.2790.
Chen Z, Glisic M, Song M, et al. Dietary protein intake and all-cause and cause-specific mortality: results from the Rotterdam Study and a meta-analysis of prospective cohort studies. Eur J Epidemiol. 2020;35(5):411–429. doi: https://doi.org/10.1007/s10654-020-00607-6.
Virtanen HEK, Voutilainen S, Koskinen TT, et al. Dietary proteins and protein sources and risk of death: the Kuopio Ischaemic Heart Disease Risk Factor Study. Am J Clin Nutr. 2019;109(5):1462–1471. doi: https://doi.org/10.1093/ajcn/nqz025.
Hambræus L. Protein and Amino Acids in Human Nutrition. Reference Module in Biomedical Sciences, Elsevier, 2014, ISBN 9780128012383.
Joint WHO/FAO/UNU Expert Consultation. Protein and amino acid requirements in human nutrition. World Health Organ Tech Rep Ser. 2007;(935):261–265.
Zhou C, Wu Q, Ye Z, et al. Inverse Association Between Variety of Proteins With Appropriate Quantity From Different Food Sources and New-Onset Hypertension. Hypertension. 2022; HYPERTENSIONAHA12118222. doi: https://doi.org/10.1161/HYPERTENSIONAHA.121.18222. Online ahead of print.
Zhou C, Liu C, Zhang Z, et al. Variety and quantity of dietary protein intake from different sources and risk of new-onset diabetes: a Nationwide Cohort Study in China. BMC Med. 2022;20(1):6. doi: https://doi.org/10.1186/s12916-021-02199-8.
Zhang B, Zhai FY, Du SF, Popkin BM. The China Health and Nutrition Survey, 1989–2011. Obes Rev. 2014; 15 Suppl 1:2–7. doi: https://doi.org/10.1111/obr.12119.
He P, Li H, Liu C, et al. U-shaped association between dietary copper intake and new-onset hypertension. Clin Nutr. 2021;41(2):536–542. doi: https://doi.org/10.1016/j.clnu.2021.12.037.
Liu M, Liu C, Zhang Z, et al. Quantity and variety of food groups consumption and the risk of diabetes in adults: A prospective cohort study. Quantity and variety of food groups consumption and the risk of diabetes in adults: A prospective cohort study. Clin Nutr. 2021;40(12):5710–5717. doi: https://doi.org/10.1016/j.clnu.2021.10.003.
Zhou C, Zhang Z, Liu M, et al. Dietary carbohydrate intake and new-onset diabetes: A nationwide cohort study in China. Metabolism. 2021;123:154865. doi: https://doi.org/10.1016/j.metabol.2021.154865.
Seidelmann SB, Claggett B, Cheng S, et al. Dietary carbohydrate intake and mortality: a prospective cohort study and meta-analysis. The Lancet Public Health. 2018; 3: e419–e428. doi: https://doi.org/10.1016/S2468-2667(18)30135-X.
Wang G, et al. China Food Composition Table 1991. People’s Medical Press; Beijing, China: 1991. pp. 1–194.
Yang Y, et al. China Food Composition Table 2002. Peking University Medical Press; Beijing, China: 2002. pp. 1–377.
Yang Y, et al. China Food Composition Table 2004. Peking University Medical Press; Beijing, China: 2004. pp. 1–404.
Shan Z, Rehm CD, Rogers G, et al. Trends in dietary carbohydrate, protein, and fat intake and diet quality among US Adults, 1999–2016. JAMA. 2019; 322:1178–1187. doi: https://doi.org/10.1001/jama.2019.13771.
U.S. Department of Agriculture (USDA). USDA Choose MyPlate.gov Vegetable Group Food Gallery. Accessed June 8, 2021. https://www.choosemyplate.gov/vegetable-group-food-gallery (8 June 2021).
Ainsworth BE, Haskell WL, Whitt MC, et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000; 32(9 Suppl): S498–504. doi: https://doi.org/10.1097/00005768-200009001-00009.
Naghshi S, Sadeghi O, Willett WC, Esmaillzadeh A. Dietary intake of total, animal, and plant proteins and risk of all cause, cardiovascular, and cancer mortality: systematic review and dose-response meta-analysis of prospective cohort studies. BMJ. 2020;370:m2412. doi: https://doi.org/10.1136/bmj.m2412.
Lynch CJ, Adams SH. Branched-chain amino acids in metabolic signalling and insulin resistance. Nat Rev Endocrinol. 2014; 10: 723–36. doi: https://doi.org/10.1038/nrendo.2014.171.
Rietman A, Schwarz J, Tome D, Kok FJ, Mensink M. High dietary protein intake, reducing or eliciting insulin resistance? Eur J Clin Nutr. 2014;68(9): 973–9. doi: https://doi.org/10.1038/ejcn.2014.123.
Laplante M, Sabatini DM. mTOR signaling in growth control and disease. Cell. 2012;149(2):274e93-293. doi: https://doi.org/10.1016/j.cell.2012.03.017.
Zhenyukh O, Civantos E, Ruiz-Ortega M, et al. High concentration of branched-chain amino acids promotes oxidative stress, inflammation and migration of human peripheral blood mononuclear cells via mTORC1 activation. Free Radic Biol Med. 2017; 104:165–177. doi: https://doi.org/10.1016/j.freeradbiomed.2017.01.009.
Zhang ZY, Monleon D, Verhamme P, Staessen JA. Branched-chain amino acids as critical switches in health and disease. Hypertension. 2018; 72:1012–1022. doi: https://doi.org/10.1161/HYPERTENSIONAHA.118.10919.
Hernández-Ledesma B, Hsieh CC. Chemopreventive role of food-derived proteins and peptides: A review. Crit Rev Food Sci Nutr. 2017;57(11):2358–2376. doi: https://doi.org/10.1080/10408398.2015.1057632.
Martin M, Deussen A. Effects of natural peptides from food proteins on angiotensin converting enzyme activity and hypertension. Crit Rev Food Sci Nutr. 2019; 59:1264–1283. doi: https://doi.org/10.1080/10408398.2017.1402750.
Harnedy PA, Parthsarathy V, McLaughlin CM, et al. Atlantic salmon (Salmo salar) co-product-derived protein hydrolysates: A source of antidiabetic peptides. Food Res Int. 2018; 106:598–606. doi: https://doi.org/10.1016/j.foodres.2018.01.025.
Bougatef A, Nedjar-Arroume N, Ravallec-Plé R, et al. Angiotensin I-converting enzyme (ACE) inhibitory activities of sardinelle (Sardinella aurita) by-products protein hydrolysates obtained by treatment with microbial and visceral fish serine proteases. Food Chem. 2008;111(2):350–6. doi: https://doi.org/10.1016/j.foodchem.2008.03.074.
Zhu CF, Li GZ, Peng HB, Zhang F, Chen Y, Li Y. Treatment with marine collagen peptides modulates glucose and lipid metabolism in Chinese patients with type 2 diabetes mellitus. Appl Physiol Nutr Metab. 2010;35(6):797–804. doi: https://doi.org/10.1139/H10-075.
Sala-Vila A, Guasch-Ferré M, Hu FB, et al. Dietary α-Linolenic Acid, Marine ω-3 Fatty Acids, and Mortality in a Population With High Fish Consumption: Findings From the PREvención con DIeta MEDiterránea (PREDIMED) Study. J Am Heart Assoc. 2016;5(1):e002543. doi: https://doi.org/10.1161/JAHA.115.002543.
Lee JH, Paik HD. Anticancer and immunomodulatory activity of egg proteins and peptides: a review. Poult Sci. 2019;98(12):6505–6516. doi: https://doi.org/10.3382/ps/pez381.
Lafiandra D, Riccardi G, Shewry PR. Improving cereal grain carbohydrates for diet and health. J Cereal Sci. 2014;59(3):312–326. doi: https://doi.org/10.1016/j.jcs.2014.01.001.
Tharrey M, Mariotti F, Mashchak A, Barbillon P, Delattre M, Huneau JF, Fraser GE. Patterns of amino acid intake are strongly associated with cardiovascular mortality, independently of the sources of protein. Int J Epidemiol. 2020;49(1):312–321. doi: https://doi.org/10.1093/ije/dyz194.
Pipe EA, Gobert CP, Capes SE, Darlington GA, Lampe JW, Duncan AM. Soy protein reduces serum LDL cholesterol and the LDL cholesterol:HDL cholesterol and apolipoprotein B:apolipoprotein A-I ratios in adults with type 2 diabetes. J Nutr. 2009;139(9):1700–6. doi: https://doi.org/10.3945/jn.109.109595.
Martinez-Villaluenga C, Dia VP, Berhow M, Bringe NA, Gonzalez de Mejia E. Protein hydrolysates from beta-conglycinin enriched soybean genotypes inhibit lipid accumulation and inflammation in vitro. Mol Nutr Food Res. 2009;53(8):1007–18. doi: https://doi.org/10.1002/mnfr.200800473.
Tavakoli S, Dorosty-Motlagh AR, Hoshiar-Rad A, et al. Is dietary diversity a proxy measurement of nutrient adequacy in Iranian elderly women? Appetite. 2016; 105: 468–76. doi: https://doi.org/10.1016/j.appet.2016.06.011.
Bernstein MA, Tucker KL, Ryan ND, et al. Higher dietary variety is associated with better nutritional status in frail elderly people. J Am Diet Assoc. 2002; 102(8):1096–104. doi: https://doi.org/10.1016/s0002-8223(02)90246-4.
Madsen L, Myrmel LS, Fjære E, Liaset B, Kristiansen K. Links between Dietary Protein Sources, the Gut Microbiota, and Obesity. Front Physiol. 2017; 8:1047. doi: https://doi.org/10.3389/fphys.2017.01047.
Dehghan M, Mente A, Zhang X, et al. Associations of fats and carbohydrate intake with cardiovascular disease and mortality in 18 countries from five continents (PURE): a prospective cohort study. Lancet. 2017; 390:2050–2062. doi: https://doi.org/10.1016/S0140-6736(17)32252-3.
Hu FB, Stampfer MJ, Rimm E, 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; 149:531–540. doi: https://doi.org/10.1093/oxfordjournals.aje.a009849.
Xue H, Yang M, Liu Y, Duan R, Cheng G, Zhang X. Relative validity of a 2-day 24-hour dietary recall compared with a 2-day weighed dietary record among adults in South China. Nutr Diet. 2017;74(3):298–307. doi: https://doi.org/10.1111/1747-0080.12315.
Acknowledgements
This research uses data from China Health and Nutrition Survey (CHNS). We thank the National Institute for Nutrition and Health, China Center for Disease Control and Prevention, Carolina Population Center (P2C HD050924, T32 HD007168), the University of North Carolina at Chapel Hill, the NIH (R01-HD30880, DK056350, R24 HD050924, and R01-HD38700) and the NIH Fogarty International Center (D43 TW009077, D43 TW007709) for financial support for the CHNS data collection and analysis files from 1989 to 2015 and future surveys, and the China-Japan Friendship Hospital, Ministry of Health for support for CHNS 2009, Chinese National Human Genome Center at Shanghai since 2009, and Beijing Municipal Center for Disease Prevention and Control since 2011.
Funding
Source of Funding: The study was supported by the National Key R&D program of China [2020YFC2005000], the National Key Research and Development Program [2022YFC2009600, 2022YFC2009605], the National Natural Science Foundation of China [81973133, 81730019], Outstanding Youths Development Scheme of Nanfang Hospital, Southern Medical University [2017J009].
Author information
Authors and Affiliations
Contributions
Authors’ contributions: Chun Zhou, Xianhui Qin, and Jing Nie designed the research; Chun Zhou, Mengyi Liu, Chengzhang Liu and Xianhui Qin conducted the research; Chun Zhou, Chengzhang Liu performed the data management and statistical analyses; Chun Zhou Xianhui Qin, and Jing Nie wrote the draft; All authors revised and approved the final manuscript.
Corresponding authors
Ethics declarations
Ethics approval and consent to participate: The study was approved by the institutional review boards of the University of North Carolina at Chapel Hill and the National Institute of Nutrition and Food Safety, and Chinese Center for Disease Control and Prevention. Each participant provided the written informed consent.
Consent for publication: Not applicable.
Conflicts of Interest: None.
Electronic supplementary material
12603_2022_1870_MOESM1_ESM.doc
Relations of Variety and Quantity of Dietary Proteins Intake from Different Sources with Mortality Risk: A Nationwide Population-Based Cohort
Rights and permissions
About this article
Cite this article
Zhou, C., Yang, S., Zhang, Y. et al. Relations of Variety and Quantity of Dietary Proteins Intake from Different Sources with Mortality Risk: A Nationwide Population-Based Cohort. J Nutr Health Aging 26, 1078–1086 (2022). https://doi.org/10.1007/s12603-022-1870-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12603-022-1870-0