medigraphic.com
SPANISH

Cirugía Plástica

ISSN 2992-8559 (Electronic)
ISSN 1405-0625 (Print)
  • Contents
  • View Archive
  • Information
    • General Information        
    • Directory
  • Publish
    • Instructions for authors        
    • Send manuscript
  • Policies
  • medigraphic.com
    • Home
    • Journals index            
    • Register / Login
  • Mi perfil

2025, Number 3

<< Back Next >>

Cir Plast 2025; 35 (3)

Relative aging points as a proposed mathematical model of human aging: qualitative aging calculation using variables and constants

Rendón-Medina MA, Rendón-Pimentel MA
Full text How to cite this article 10.35366/121736

DOI

DOI: 10.35366/121736
URL: https://dx.doi.org/10.35366/121736

Language: Spanish
References: 19
Page: 126-133
PDF size: 406.59 Kb.


Key words:

aging, mathematical concepts, quality of life, sunlight, metabolism.

ABSTRACT

Human aging is a complex process influenced by various biological and environmental factors. In this study, we propose a mathematical model that considers four main variables: earth's gravity, solar radiation, cellular metabolism, and individual quality of life. We propose a mathematical formula which, upon substituting the variables and constants, will give us a categorical result of aging. At the end of the calculation it yields the result in relative points of aging: the higher the relative points, the greater the aging. When we perform the exercise with two patients of the same age (72 years) but under different conditions, it gives us an example of different degrees of aging. In scenario one, the patient slept 8 hours, had mild sun exposure, did not smoke, exercised, and obtained 36 relative points of aging. In scenario two, the patient did not have a healthy lifestyle, obtaining 410.4 relative points of aging. We concluded that this approach is not intended to be an exact diagnosis, but a conceptual guide that recognizes the individuality of aging. Each person ages differently; therefore, the results of facial rejuvenation procedures vary from person to person. Personalization of treatment remains key, and this model can enrich clinical analysis without replacing professional medical evaluation.


REFERENCES

  1. Alatas ET. Aging, aging skin, and anti-aging approaches. Dermatology Reports 2016; 8 (1): 44-53.

  2. Danho S. Effects of space radiation on mammalian cells. Frontiers in Cell and Developmental Biology 2022; 10: 371-388.

  3. Saxena V. Genomic response bioinformatics and mechanical effects of forces on tissues and wound healing. Journal of Biomechanics 2005; 38 (4): 789-798.

  4. Mondragón EI. Modelos matemáticos sobre la interacción de macrófagos, células T y Mycobacterium tuberculosis. Revista Mexicana de Ciencias 2012; 3 (1): 123-135.

  5. Shah H, Rawal S. Photoaging: new insights into its stimulators, complications, biochemical changes and therapeutic interventions. Biomedicine & Aging Pathology 2013; 3 (3): 161-169.

  6. Fakih-Gómez N. Optimized closure sequence for skin flap adaptation in deep plane facelift and necklift. The American Journal of Cosmetic Surgery 2025; 155(2): 221-229.

  7. Telich-Tarriba JE, Meraz-Soto JM, Prieto-Vargas V. Aplicaciones de la inteligencia artificial en la cirugía plástica y reconstructiva: una revisión exhaustiva de la literatura. Cir Plast 2023; 33 (4): 152-160.

  8. Bermúdez V, Cano C, Medina M, Núñez M. Utilidad y ventajas del uso de modelos matemáticos en el estudio de la insulinoresistencia y función de la célula beta pancreática. AVFT 2001; 20 (1): 43-51.

  9. Esteva L, Ibargüen ME, Romero LJ. Un modelo matemático sobre bacterias sensibles y resistentes a antibióticos. Matemáticas: Enseñanza Universitaria 2011; 19 (2): 55-73.

  10. Mohamad EA. Evaluation of punicalagin niosomes for skin aging. Journal of Drug Delivery Science and Technology 2021; 61: 102312.

  11. Ivic NO. Skin aging. Clinical Dermatology Journal 2008; 26 (1): 25-35.

  12. Ramos-e-Silva M, Celem LR, Ramos-e-Silva S, Fucci-da-Costa AP. Anti-aging cosmetics: facts and controversies. Clin Dermatol 2013; 31 (6): 750-758.

  13. Sultana Y, Kohli K, Athar M, Khar RK, Aqil M. Effect of pre-treatment of almond oil on ultraviolet B-induced cutaneous photoaging in mice. J Cosmet Dermatol 2007; 6 (1): 14-19.

  14. Elghany AA. Chitosan-coated niosomes loaded with ellagic acid present anti-aging activity in a skin cell line. International Journal of Nanomedicine 2023; 18: 2191-2205.

  15. Hecht E. Physics: algebra/trig (Cap. 7, "Gravity according to Newton", Brooks/Cole Publishing Company. 1994, pp. 210-217.

  16. Madronich S, McKenzie RL, Bjorn LO, Caldwell MM. Changes in biologically active ultraviolet radiation reaching the Earth's surface. J Photochem Photobiol B 1998; 46 (1-3): 5-19.

  17. Hernández-Ortega A, Osuna-Padilla IA, Rendón-Rodríguez R, Narváez-Velázquez PB, Chávez-González MJ, Estrada-Velasco BI. Exactitud de las ecuaciones predictivas del gasto energético basal: estudio transversal en niños y adolescentes con sobrepeso y obesidad de Morelos, México. Revista Española de Nutrición Humana y Dietética 2019; 23 (2): 83-91. Disponible en: https://dx.doi.org/10.14306/renhyd.23.2.706

  18. Ware JE, Sherbourne CD. The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Medical Care 1992; 30 (6): 473-483. Available in: https://doi.org/10.1097/00005650-199206000-00002

  19. World Health Organization. Development of the World Health Organization WHOQOL-BREF quality of life assessment. Psychological Medicine 1998; 28 (3): 551-558. Available in: https://doi.org/10.1017/S0033291798006667




Figure 1
Table 1
Table 2

2020     |     www.medigraphic.com

Mi perfil

C?MO CITAR (Vancouver)

Cir Plast. 2025;35