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Genetic Testing and Personalized Nutrition System for Men’s Health Care

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Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)

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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.

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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).

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Correspondence to Jitao Yang .

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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

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  • DOI: https://doi.org/10.1007/978-3-030-87013-3_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87012-6

  • Online ISBN: 978-3-030-87013-3

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