Publications by authors named "G Favara"
Background/objectives: Antimicrobial resistance (AMR) is a global issue driven by the overuse of antibiotics in healthcare, agriculture, and veterinary settings. Wastewater and treatment plants (WWTPs) act as reservoirs for antibiotic-resistant bacteria (ARB) and antibiotic resistance genes (ARGs). The One Health approach emphasizes the interconnectedness of human, animal, and environmental health in addressing AMR.
View Article and Find Full Text PDFIntroduction: Exploring modifiable and non-modifiable determinants-like sex of new-borns, maternal characteristics, and lifestyle-of maternal and child health is a priority in Public Health. Understanding these sex-based differences is essential for tailored care and informed public health policies.
Methods: The present study aimed to delineate sex disparities in delivery and neonatal characteristics within the "MAMI MED" cohort, an ongoing prospective study involving mother-child pairs from Catania, Italy.
Background/objectives: Breast milk is a dynamic, personalized nutrition source, influenced by maternal diet, lifestyle, and environmental factors, which shape its composition and impact infant health. This review synthesizes evidence on the associations between maternal lifestyles (e.g.
View Article and Find Full Text PDFArticle Synopsis
- Identifying and addressing social determinants of health (SDOH) during pre-conception is crucial for reducing disparities in maternal health, especially among disadvantaged groups, as factors like income and education impact pregnancy outcomes.
- A study analyzed data from 1,512 pregnant women to classify them into groups based on socio-economic characteristics, revealing two distinct clusters with varying educational levels, employment status, and nutritional habits.
- The findings showed that women in the lower socio-economic cluster experienced more negative neonatal outcomes, indicating a need for targeted public health interventions to improve maternal-infant health in these populations.
Background: The use of wearable sensors is being explored as a challenging way to accurately identify smoking behaviors by measuring physiological and environmental factors in real-life settings. Although they hold potential benefits for aiding smoking cessation, no single wearable device currently achieves high accuracy in detecting smoking events. Furthermore, it is crucial to emphasize that this area of study is dynamic and requires ongoing updates.
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