Association of chronic exercise with markers of cardiometabolic health: a systematic review and meta-analysis.

Background: The impact of chronic exercise on cardiometabolic risk is a crucial aspect of public health. However, limited knowledge exists regarding differences in cardiometabolic parameters between older athletes, older controls, and sedentary or active young controls.

Methods: A comprehensive search in major databases until October 2024 was conducted for studies comparing older athletes with older controls or with both sedentary and active younger adults.

Calcium, Vitamin D, and Aging in Humans.

There is currently a growing awareness that nutritional factors have major impacts on the risk of age-associated chronic non-communicable diseases and mortality [...

Immunological mechanisms involved in the protection against development of pulmonary tuberculosis in naturally infected goats.

Tuberculosis (TB) is a notifiable zoonotic disease caused by bacteria of the Mycobacterium tuberculosis complex (MTBC) that affects a multitude of domestic and wild species. The main lesions caused by these mycobacteria are tuberculous granulomas, which determine the organism's immune response to the disease. Although TB pathogenesis in cattle has been extensively studied, information regarding its progression in other species of interest for the maintenance and transmission of TB such as goats remains limited.

Mediterranean diet and osteoarthritis: an update.

The Mediterranean diet has gained significant attention for its potential health benefits on diverse pathological conditions including osteoarthritis (OA), a prevalent degenerative joint disease characterized by cartilage breakdown and inflammation. Numerous observational studies have suggested that adherence to the Mediterranean diet, may have protective effects against OA. The abundance of antioxidants and anti-inflammatory compounds and omega-3 fatty acids, among the Mediterranean diet components is believed to contribute to its beneficial effects on OA.

Identification of Predictors of Sarcopenia in Older Adults Using Machine Learning: English Longitudinal Study of Ageing.

After its introduction in the ICD-10-CM in 2016, sarcopenia is a condition widely considered to be a medical disease with important consequences for the elderly. Considering its high prevalence in older adults and its detrimental effects on health, it is essential to identify its risk factors to inform targeted interventions. Taking data from wave 2 of the ELSA, using ML-based methods, this study investigates which factors are significantly associated with sarcopenia.