Currently, available drugs for the treatment of Alzheimer's disease (AD) have only symptomatic effects, and there is an unmet need of preventing AD onset and delaying or slowing disease progression in absence of disease-modifying therapies. Substantial epidemiological evidence suggested the hypothesis that modifiable metabolic, vascular, and lifestyle-related factors may be linked to the development of late-life cognitive disorders (Solfrizzi et al., 2011). Among these proposed factors, one appealing link is the association between dietary habits and the occurrence of AD (Tangney, 2014). Among age-related conditions closely associated to dementia and cognitive disorders in late life, frailty is a multidimensional geriatric condition that reflects a multisystem physiological change and a nonspecific state of vulnerability (Fried et al., 2001), with an increased risk for different adverse health outcomes in older age, including disability, falls, hospitalizations, and all-cause mortality (Fried et al., 2001). Although the operational definition of frailty is still controversial, in general, two approaches predominate. The “phenotypic” or physical definition of frailty or the “biological syndrome model” proposed five components: exhaustion, unintentional weight loss, weakness, slow walking speed, and low levels of physical activity. The frail state is defined by the presence of three or more of these components, the pre-frail state is defined by only one or two of these characteristics, while older individuals are “robust” when they have none of these frailty components (Fried et al., 2001). Other definitions, criticizing this concept, promote a multidimensional approach with a definition of frailty based on a cumulative model, employing frailty indexes for the evaluation of this condition, calculated by considering the accumulation of potential deficits, i.e., the presence of diseases, abnormal laboratory values, symptoms, signs, or disabilities (Rockwood et al., 2004). For all frailty models, cognitive and affective disorders, physical activity, and nutritional status have been suggested as markers of frailty (Kelaiditi et al., 2014). In particular, cognition has been considered a major component of frailty, also associated with adverse health outcomes (Rockwood et al., 2004). Therefore, possible preventive interventions on cognitive-related outcomes of frailty, including AD and dementia, may be operated though the prevention of this geriatric syndrome and its associated components (Panza et al., 2011; Robertson et al., 2013). Of note, in frailty prevention, the impaired nutrition, and weight loss of frail older subjects may be addressed by focused nutritional interventions.