Prediction equation for estimating cognitive function using physical fitness parameters in older adults

Area of Science:

• Gerontology
• Neuroscience
• Sports Science

Background:

• Aging is linked to cognitive decline and reduced physical fitness.
• Physical activity and exercise show benefits for cognitive function and brain plasticity.

Purpose of the Study:

• To create a practical equation for assessing cognitive function in healthy older adults using physical fitness parameters.
• To establish a predictive model for cognitive function based on physical performance.

Main Methods:

• 102 healthy older adults underwent physical and clinical evaluations.
• Physical fitness was assessed using the Short Physical Performance Battery (SPPB) and handgrip test (HG).
• Cognitive function was measured using the Mini Mental State Examination (MMSE); multiple regression analysis predicted MMSE from age, SPPB, and HG.

Main Results:

• Age, SPPB, and HG significantly correlated with MMSE scores (p<0.01).
• A predictive equation was developed: MMSE = 19.479 + (1.548 x SPPB) - (0.130 x age) (R² = 0.72).
• The equation showed good prediction accuracy and was validated across genders.

Conclusions:

• The new equation provides a reliable method to predict cognitive function in older adults using simple physical fitness measures.
• This tool can assist exercise specialists in tailoring physical activity programs for older populations.
• The equation is valuable for cognitive assessment when comprehensive clinical tests are not possible.