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This paper is in the following e-collection/theme issue:

Geriatrics and Longevity Medicine (97) Clinical Information and Decision Making (3943) mHealth for Screening (489) Information and Patient Education on Healthy Aging (125) Data Science (730) Frailty Detection, Assessment and Prediction (251)

Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76500, first published .
Elderly couple looking towards future with health data visualizations

Modeling Frailty Risk Based on Biochemical and Hematological Parameters Using Multiple and Logistic Regression: Cross-Sectional Analysis of the Toledo Study for Healthy Aging

Modeling Frailty Risk Based on Biochemical and Hematological Parameters Using Multiple and Logistic Regression: Cross-Sectional Analysis of the Toledo Study for Healthy Aging

Authors of this article:

Francisco Zamudio1 Author Orcid Image ;   Diego Arauna2 Author Orcid Image ;   Francisco Garcia3 Author Orcid Image ;   Cecilia Albala4 Author Orcid Image ;   Victoria Villalobos2 Author Orcid Image ;   Eduardo Fuentes2 Author Orcid Image ;   Ivan Palomo2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Francisco Zamudio   1 , PhD ;   Diego Arauna   2 , PhD ;   Francisco Garcia   3 , PhD ;   Cecilia Albala   4 , PhD ;   Victoria Villalobos   2 , MT ;   Eduardo Fuentes   2 , PhD ;   Ivan Palomo   2 , PhD

1 Department of Public Health, University of Talca, Talca, Chile

2 Thrombosis Research Center, Interuniversity Center for Healthy Aging, VITALIS Longevity Center, Medical Technology School, Department of Clinical Biochemistry and Immunohaematology, Faculty of Health Sciences, University of Talca, Talca, Chile

3 Department of Geriatrics, Hospital Virgen del Valle, Complejo Hospitalario Universitario de Toledo, Toledo, Spain

4 Instituto de Nutrición y Tecnología de los Alimentos, University of Chile, Santiago, Chile

Corresponding Author:

  • Ivan Palomo, PhD
  • Thrombosis Research Center, Interuniversity Center for Healthy Aging, VITALIS Longevity Center
  • Medical Technology School, Department of Clinical Biochemistry and Immunohaematology, Faculty of Health Sciences, University of Talca
  • Avenida Lircay S/N
  • Talca 3460000
  • Chile
  • Phone: 56 712200200
  • Email: ipalomo@utalca.cl