Predictive Power of Anthropometric Measures and Indices in Assessing Nutrition-Related Risk Using the Geriatric...

Area of Science:

• Geriatric nutrition
• Nutritional assessment
• Anthropometry

Background:

• Effective nutritional screening is crucial for identifying malnutrition in older adults.
• The Geriatric Nutritional Risk Index (GNRI) is a key tool for assessing nutritional status.
• Malnutrition poses significant health risks for the elderly population.

Purpose of the Study:

• To evaluate the effectiveness of various anthropometric parameters, indices, and body composition metrics in assessing nutrition-related risks.
• To compare these metrics against the Geriatric Nutritional Risk Index (GNRI) in older adults.
• To identify optimal simple tools for nutritional risk assessment in the elderly.

Main Methods:

• A cohort of 185 patients over 60 years old was studied.
• Anthropometric measurements, indices, and body composition were analyzed.
• Nutritional status was categorized using the Geriatric Nutritional Risk Index (GNRI).

Main Results:

• Body mass index (BMI) showed the strongest correlation with GNRI (ρ=0.8628).
• A unit increase in BMI decreased the odds of being in a nutrition risk group by 52.1%.
• Receiver Operating Characteristic (ROC) analysis indicated BMI ≤25.0 had the highest predictive value (AUC 0.93) for nutrition-related risk.

Conclusions:

• BMI and other anthropometric measures are important for routine nutritional risk assessment in the elderly.
• These simple tools can aid in identifying and managing malnutrition in hospitals, care facilities, and clinics.
• Anthropometric measures are particularly valuable when standardized malnutrition assessment tools are unavailable or impractical.