Abstract
Recent research data and evidence from multiple societies demonstrated that men’s health problems have become increasingly worse than women around the world. A World Health Organization (WHO) report published recently described a significant gender gap in life expectancy that, in some regions the average life expectancy for men is 5.1 years less than for women. The primary causes of male premature mortality are cardiovascular disease, cancer, diabetes, and chronic respiratory diseases. The main risk factors for the aforementioned diseases, are caused by some bad lifestyle habits such as smoking, wine consumption, sedentary, counterbalanced diet, seldom exercise, irregular sleep and etc. Genetic factors are also known to play an important role in people’s health, and much work has been done to identify the genes related specifically to men’s health, such as the genes related to homocysteine level, alcohol metabolism ability, nicotine dependence, prostate specific antigen level, and so on. In this paper, we first describe the genetic risk factors that affect men’s health, then we demonstrate the implementation of a personalized nutrition service specially designed for men based on men’s genetic factors and lifestyles. The personalized nutrition service provides genetic testing, lifestyle assessment, personalized nutrition solution, and personalized nutritional supplements production, so that to improve men’s health effectively.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Rodrigues, R., Ilinca, S., Kai, L., et al.: The health and well-being of men in the WHO European Region: better health through a gender approach (2018). https://www.euro.who.int/en/publications/abstracts/the-health-and-well-being-of-men-in-the-who-european-region-better-health-through-a-gender-approach-2018. Accessed 29 Apr 2021
GBD 2017 Mortality Collaborators: Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 392, 1684–1735 (2018)
Rajaratnam, J.K., et al.: Worldwide mortality in men and women aged 15–59 years from 1970 to 2010: a systematic analysis. Lancet 375, 1704–1720 (2010)
Wang, H., et al.: Age-specific and sex-specific mortality in 187 countries, 1970–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380, 2071–2094 (2012)
Ashraf, K., Ng, C.J., Goh, K.L.: Theories, models and frameworks in men’s health studies: a scoping review. J. Men’s Health 17(2), 15–24 (2021)
Ueland, P.M., Hustad, S., Schneede, J., et al.: Biological and clinical implications of the MTHFR C677T polymorphism. Trends Pharmacol. Sci. 22(4), 195–201 (2001)
Saraswathy, K.N., Garg, P.R., Salam, K., et al.: MTHFR C677T polymorphism and its homocysteine-driven effect on blood pressure. Int. J. Stroke 9(4), E20 (2014). Official Journal of the International Stroke Society
Holmes, M.V., Newcombe, P., Hubacek, J.A., et al.: Effect modification by population dietary folate on the association between MTHFR genotype, homocysteine, and stroke risk: a meta-analysis of genetic studies and randomised trials. Lancet 378(9791), 584–594 (2011)
Gong, M., Dong, W., He, T., et al.: MTHFR 677C\(>\)T polymorphism increases the male infertility risk: a meta-analysis involving 26 studies. PLOS ONE 10(3), e0121147 (2015)
Takeuchi, F., Isono, M., Nabika, T., et al.: Confirmation of ALDH2 as a Major locus of drinking behavior and of its variants regulating multiple metabolic phenotypes in a Japanese population. Circ. J. 75(4), 911–918 (2011). Official Journal of the Japanese Circulation Society
Wang, L., Wu, Z.: ALDH2 and cancer therapy. Adv. Exp. Med. Biol. 1193, 221–228 (2019)
Xia, C.L., Chu, P., Liu, Y.X., et al.: ALDH2 rs671 polymorphism and the risk of heart failure with preserved ejection fraction (HFpEF) in patients with cardiovascular diseases. J. Hum. Hypertens 34(1), 16–23 (2020)
Carmelli, D., Swan, G.E., Robinette, D., et al.: Genetic influence on smoking-a study of male twins. N. Engl. J. Med. 327(12), 829–833 (1992)
Thorgeirsson, T.E., Geller, F., Sulem, P., et al.: A variant associated with nicotine dependence, lung cancer and peripheral arterial disease. Nature 452(7187), 638–642 (2008)
Bierut, L.J., Madden, P.A., Breslau, N., et al.: Novel genes identified in a high-density genome wide association study for nicotine dependence. Hum. Mol. Genet. 16(1), 24–35 (2007)
Barry, M.J.: Screening for prostate cancer-the controversy that refuses to die. N. Engl. J. Med. 360(13), 1351–1354 (2009)
Gudmundsson, J., Besenbacher, S., Sulem, P., et al.: Genetic correction of PSA values using sequence variants associated with PSA levels. Sci. Transl. Med. 2(62), 62ra92 (2010)
Eeles, R.A., Kote-Jarai, Z., Giles, G.G., et al.: Multiple newly identified loci associated with prostate cancer susceptibility. Nat. Genet. 40(3), 316–321 (2008)
Spring Boot. https://spring.io/projects/spring-boot/. Accessed 29 Apr 2021
MyBatis. https://mybatis.org/mybatis-3/index.html. Accessed 29 Apr 2021
Johns, R., Kusuma, J., Lie, A., Shiao, S.P.K.: Validation of macro- and micro-nutrients including methyl donors in social ethnic diets using food frequency questionnaire and nutrition data system for research (USDA computerized program). SDRP J. Food Sci. Technol. 3(4), 417–430 (2018)
Affret, A., El Fatouhi, D., Dow, C., Correia, E., Boutron-Ruault, M.C., Fagherazzi, G.: Relative validity and reproducibility of a new 44-item diet and food frequency questionnaire among adults: online assessment. J. Med. Internet. Res. 20(7), e227 (2018)
Thompson, F.E., Subar, A.F.: Chapter 1 - Dietary assessment methodology. In: Nutrition in the Prevention and Treatment of Disease, 4th edn. Academic Press (2017). ISBN 9780128029282
Hamosh, A., Scott, A.F., Amberger, J.S., Bocchini, C.A., McKusick, V.A.: Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders. Nucleic Acids Res. 33(Database issue), D514–D517 (2005)
OMIM - Online Mendelian Inheritance in Man, an Online Catalog of Human Genes and Genetic Disorders. https://www.omim.org/. Accessed 20 May 2021
Pereanu, W., et al.: AutDB: a platform to decode the genetic architecture of autism. Nucleic Acids Res. 46(D1), D1049–D1054 (2018)
Corella, D., Ordovas, J.M.: Nutrigenomics in cardiovascular medicine. Circ. Cardiovasc. Genet. 2, 637–651 (2009)
Frazier-Wood, A.C.: Dietary patterns, genes, and health: challenges and obstacles to be overcome. Curr. Nutr. Rep. 4, 82–87 (2015)
Vallee Marcotte, B.V., et al.: Novel genetic loci associated with the plasma triglyceride response to an omega-3 fatty acid supplementation. J. Nutrigenet. Nutrigenomics 9, 1–11 (2016)
Ouellette, C., Rudkowska, I., Lemieux, S., Lamarche, B., Couture, P., Vohl, M.C.: Gene-diet interactions with polymorphisms of the MGLL gene on plasma low-density lipoprotein cholesterol and size following an omega-3 polyunsaturated fatty acid supplementation: a clinical trial. Lipids Health Dis. 13, 86 (2014)
Rudkowska, I., et al.: Interaction between common genetic variants and total fat intake on low-density lipoprotein peak particle diameter: a genome-wide association study. J. Nutrigenet. Nutrigenomics 8, 44–53 (2015)
Tremblay, B.L., Cormier, H., Rudkowska, I., Lemieux, S., Couture, P., Vohl, M.C.: Association between polymorphisms in phospholipase A2 genes and the plasma triglyceride response to an N-3 PUFA supplementation: a clinical trial. Lipids Health Dis. 14, 12 (2015)
Palatini, P., et al.: CYP1A2 genotype modifies the association between coffee intake and the risk of hypertension. J. Hypertens. 27, 1594–1601 (2009)
De Toro-Martin, J., Arsenault, B.J., Despres, J.P., Vohl, M.C.: Precision nutrition: a review of personalized nutritional approaches for the prevention and management of metabolic syndrome. Nutrients 9(8), pii:E913 (2017)
Grimaldi, K.A., van Ommen, B., Ordovas, J.M., et al.: Proposed guidelines to evaluate scientific validity and evidence for genotype-based dietary advice. Genes Nutr. 12, 35 (2017)
Patel, M.S., Asch, D.A., Volpp, K.G.: Wearable devices as facilitators, not drivers, of health behavior change. JAMA 313, 459–460 (2015)
Acknowledgment
This research project is supported by Science Foundation of Beijing Language and Culture University (supported by “the Fundamental Research Funds for the Central Universities”) (Approval number: 21YJ040002).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Yang, J. (2021). Genetic Testing and Personalized Nutrition System for Men’s Health Care. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12957. Springer, Cham. https://doi.org/10.1007/978-3-030-87013-3_15
Download citation
DOI: https://doi.org/10.1007/978-3-030-87013-3_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-87012-6
Online ISBN: 978-3-030-87013-3
eBook Packages: Computer ScienceComputer Science (R0)