Artificial Neural Networks Help to Better Understand the Interplay Between Cognition,Mediterranean Diet,and Physical Performance: Clues from TRELONG Study
Restricted accessResearch articleFirst published online October 15, 2019
Artificial Neural Networks Help to Better Understand the Interplay Between Cognition,Mediterranean Diet,and Physical Performance: Clues from TRELONG Study
Nutrition plays an important role in the aging process. Adherence to the Mediterranean diet (MedDiet) has been shown to be associated with lower rates of diseases. Cognitive status seems to be strongly interrelated with physical well-being, so that one influences the other. Physical performance measures are not only associated with clinical and subclinical age-related modifications, but are also able to predict disability, institutionalization, and mortality.
Objective:
To evaluate prospectively the associations between Mediterranean-Style Dietary Pattern Score (MSDPS), clinical characteristics, and cognition of the population sample of The TREVISO LONGEVA (TRELONG) Study, in Treviso, Italy.
Methods:
Global cognition, physical performance measures, MSDPS, and other clinical features were detected in 2010 in 82 men and 108 women. These characteristics were evaluated in relation to the physical performance measures identified 3.8 years later in 2013 in the same subjects, using a semantic connectivity map, through Auto-CM system, to grasp further and non-linear associations between variables which might remain, otherwise, undetected.
Results:
The Auto-CM system’s map showed a close association between better levels of global cognition and MSDPS in 2010 and higher physical performance in 2013. On the other hand, worse levels of global cognition and MSDPS in 2010 were associated with lower physical performance in 2013.
Conclusion:
The prevention models for successful aging may benefit from integrated programs that include cognitive, physical, and dietary interventions, since these aspects are mutually interrelated.
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