Sarcopenic obesity and brain health: A critical appraisal of the current evidence.

Sarcopenic obesity (SO) is a body composition phenotype derived from the simultaneous presence in the same individual of an increase in fat mass and a decrease in skeletal muscle mass and/or function. Several protocols for the diagnosis of SO have been proposed in the last two decades making prevalence and disease risk estimates of SO heterogeneous and challenging to interpret. Dementia is a complex neurological disorder that significantly impacts patients, carers and healthcare systems.

Beyond Traditional Body Composition Metrics: Load-Capacity Indices Emerge as Predictors of Cardiometabolic Outcomes-A Systematic Review and Meta-Analysis.

The adaptive and independent interrelationships between different body composition components have been identified as crucial determinants of disease risk. On the basis of this concept, the load-capacity model of body composition, which utilizes measurements obtained through nonanthropometric techniques such as dual-energy X-ray absorptiometry, was proposed. This model is typically operationalized as the ratio of metabolic load (adipose mass) to metabolic capacity (lean mass).

Foods, dietary patterns, and risk of vascular dementia: a systematic review.

Background: Vascular dementia (VaD) is the second most common cause of dementia globally and is associated with a significant economic and social burden. Diet could represent an important tractable risk factor for VaD. We synthesised current evidence on associations between consumption of specific foods or dietary patterns and VaD risk.

Disease-Specific Risk Models for Predicting Dementia: An Umbrella Review.

Dementia is a leading cause of disability and death globally. Individuals with diseases such as cardiovascular, cardiometabolic and cerebrovascular disease are often at increased dementia risk. However, while numerous models have been developed to predict dementia, they are often not tailored to disease-specific groups.