PubMed COVID-19 Clinical Care

The research examines the negative consumer emotions generated by the perception of social networks or traditional media with consumer behavior during the covid_19 pandemic. The study was developed in Peru with a sample of 220 consumers; the design

CONCLUSIONS AND IMPLICATIONS: Study findings suggest that first-time visitors seeking emergency food assistance during the coronavirus disease 2019 pandemic may be experiencing temporary cycles of financial instability, which could impact dietary

No abstract

CONCLUSION: This repeated cross-sectional national study reiterated that the prevalence of mental health across South African adults aged 18 years and older is widespread. Mental health remains worryingly high post-pandemic where more than a quarter

CONCLUSION AND RELEVANCE: These findings suggest that e-cigarette use remained common during the COVID-19 pandemic, particularly among young adults aged 18 to 24 years (18.3% prevalence). Notably, 71.5% of individuals aged 18 to 20 years who reported

The intricate relationship between COVID-19 and diabetes has garnered increasing attention within the medical community. Emerging evidence suggests that individuals with diabetes may experience heightened vulnerability to COVID-19 and, in some cases

CONCLUSIONS: We find high ophthalmic disease prevalence within a population experiencing homelessness. Comparison to studies worldwide reveals healthcare disparities despite healthcare system differences, suggesting a need for more targeted solutions

CONCLUSIONS: Injuries associated with the use of e-scooters are a new phenomenon and mainly affect the craniofacial region due to the dynamic nature of the trauma. Although these vehicles have become increasingly common over the years and accepted

The Public Health Leadership program administered by the Public Health Branch at the Regional Municipality of York, ON, focused on enhancing people-centred competencies of managers to effectively support staff during the pandemic. The program aimed

Statistical fine-mapping prioritizes putative causal variants from a large number of candidate variants, and is widely used in expression quantitative loci (eQTLs) studies. In eQTL fine-mapping, the existence of causal variants for gene expression is