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  11. Refining Nutritional Assessment Methods For Older Adults: A Pilot Study On Sicilian Long-living Individuals

Refining Nutritional Assessment Methods for Older Adults: A Pilot Study on Sicilian Long-Living Individuals

Anna Aiello1, Anna Calabrò1, Rosa Zarcone1

  • 1Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90133 Palermo, Italy.

Nutrients
|June 13, 2025

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View abstract on PubMed

Summary
This summary is machine-generated.

Assessing nutritional status in the oldest old requires better tools. Standard body composition methods may misclassify malnutrition risk, unlike indices like GNRI and CONUT.

Area of Science:

  • Gerontology
  • Nutritional Science
  • Clinical Medicine

Background:

  • Assessing nutrition-related health risks in older adults is challenging due to a lack of standardized evaluation methods.
  • Traditional anthropometric and body composition analyses are not well-suited for the oldest old, failing to account for age-related physiological changes.
  • There is a critical need for improved assessment techniques to accurately capture dynamic nutritional status shifts in aging populations.

Purpose of the Study:

  • To identify the most effective tools for evaluating the nutritional status of the oldest adult population.
  • To compare the efficacy of different nutritional assessment methods in individuals aged 65 and above.

Main Methods:

  • A cross-sectional study was conducted on Sicilian individuals aged 65-111.
Keywords:
LLIsaginghealth-related nutritional risknutritional tools

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  • Nutritional status was evaluated using Bioimpedance Analysis (BIA), Mini Nutritional Assessment (MNA), Geriatric Nutritional Risk Index (GNRI), and COntrolling NUTritional Status (CONUT) score.
  • Methods commonly applied to adult and older adult populations were utilized.

    • Main Results:

    • While MNA and BIA suggested malnutrition or cachexia, GNRI and CONUT indicated normal or low malnutrition risk.
    • Nutritional risk indices not reliant on body composition parameters aligned with clinical history.
    • Discrepancies highlight potential limitations of certain assessment tools in the oldest old.

    Conclusions:

    • Pilot study reveals the need for standardized, multidimensional assessment models for the oldest old.
    • Future research should focus on tailoring models to the heterogeneity of aging populations.
    • Improved risk stratification and personalized nutritional care are essential for better clinical outcomes.
    older adults