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Descriptive and predictive analysis identify centenarians' characteristics from the Basque population.

Sara Cruces-Salguero1, Igor Larrañaga2,3, Javier Mar2,3,4

  • 1Cellular Oncology Group, Biodonostia Health Research Institute, San Sebastian, Spain.

Frontiers in Public Health
|February 10, 2023
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Summary
This summary is machine-generated.

Centenarians, often women, show healthier aging with fewer diseases and better biological markers like lower glucose and hemoglobin. Machine learning identified key traits associated with extreme longevity.

Keywords:
biologicalcentenariansdescriptionfunctionalmedicalpredictive modeling

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Area of Science:

  • Gerontology and Computational Biology.
  • Focus on understanding human aging and longevity.

Background:

  • Centenarians represent a model for healthy aging due to their extreme longevity.
  • Studying centenarian characteristics can provide insights into the aging process.

Purpose of the Study:

  • To identify and characterize the main features distinguishing centenarians from non-centenarians.
  • To utilize computational biology and machine learning for analyzing aging patterns.

Main Methods:

  • Retrospective analysis of demographic, clinical, biological, and functional data from deceased individuals (2014-2020) in the Basque Country, Spain.
  • Descriptive analysis of 50 characteristics and predictive analysis using machine learning models on 27 selected features.
  • Comparison of centenarians and non-centenarians using statistical tests.

Main Results:

  • Centenarians were predominantly women, resided in nursing homes, and exhibited fewer diseases, medications, and medical attendances.
  • Biological profiles of centenarians showed lower levels of glucose, hemoglobin, glycosylated hemoglobin, and triglycerides.
  • Machine learning identified being female, fewer consultations, fewer neoplasms, and lower hemoglobin as key predictors of centenarian status.

Conclusions:

  • Computational biology successfully identified key characteristics associated with centenarians in the Basque Country.
  • These findings contribute to a deeper understanding of human longevity and the factors influencing extreme aging.