Diet-dependent entropic assessment of athletes' lifespan.

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  • Additional Information
    • Source:
      Publisher: Cambridge University Press Country of Publication: England NLM ID: 101590587 Publication Model: eCollection Cited Medium: Internet ISSN: 2048-6790 (Electronic) Linking ISSN: 20486790 NLM ISO Abbreviation: J Nutr Sci Subsets: MEDLINE
    • Publication Information:
      Original Publication: Cambridge : Cambridge University Press, 2012-
    • Subject Terms:
    • Abstract:
      Life expectancies of the athletes depend on the sports they are doing. The entropic age concept, which was found successful in the previous nutrition studies, will be employed to assess the relation between the athletes' longevity and nutrition. Depending on their caloric needs, diets are designed for each group of athletes based on the most recent guidelines while they are pursuing their careers and for the post-retirement period, and then the metabolic entropy generation was worked out for each group. Their expected lifespans, based on attaining the lifespan entropy limit, were calculated. Thermodynamic assessment appeared to be in agreement with the observations. There may be a significant improvement in the athletes' longevity if they shift to a retirement diet after the age of 50. The expected average longevity for male athletes was 56 years for cyclists, 66 years for weightlifters, 75 years for rugby players and 92 years for golfers. If they should start consuming the retirement diet after 50 years of age, the longevity of the cyclists may increase for 7 years, and those of weightlifters, rugby players and golfers may increase for 22, 30 and 8 years, respectively.
      (© The Author(s) 2021.)
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    • Contributed Indexing:
      Keywords: Athletes’ diet; Athletes’ longevity; Entropic age; Lifespan entropy
    • Publication Date:
      Date Created: 20211104 Date Completed: 20220317 Latest Revision: 20240403
    • Publication Date:
      20240403
    • Accession Number:
      PMC8532055
    • Accession Number:
      10.1017/jns.2021.78
    • Accession Number:
      34733495