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Cannabis consumption and risk of asthma: a systematic review and meta-analysis.
BMC Pulm Med
January 2025
Global Health and Infectious Diseases Control Institute, Nasarawa State University, Keffi, Nigeria.
Background: Cannabis is the third most widely used psychoactive substance globally, and its consumption has been increasing, particularly with the growing trend of legalization for medicinal and recreational use. Recent studies have raised concerns about the potential impact of cannabis on respiratory health, specifically the risk of asthma, a significant public health concern. This systematic review aimed to consolidate research on the association between cannabis use and the risk of asthma.
View Article and Find Full Text PDFInfluence of the metabolic control in patients with type 1 diabetes on their oral health status and the need for orthodontic treatment in a group of Spanish children (aged 6-12 years): a cross-sectional study.
BMC Oral Health
January 2025
Department of Surgery, Faculty of Medicine, University of Salamanca, Salamanca, Spain.
Background: The aim of this study was to analyze the influence of good metabolic control, based on glycosylated hemoglobin (HbA1c) levels, on oral health status and the need for orthodontic treatment in children.
Methods: This cross-sectional study was carried out at the Dental Clinic of the University of Salamanca (Spain) during the years 2020 and 2024. A total of 260 children with type 1 diabetes (aged between 6 and 12 years) participated.
Unsupervised detection of novel SARS-CoV-2 mutations and lineages in wastewater samples using long-read sequencing.
BMC Genomics
January 2025
Department of Virology, Norwegian Institute of Public Health, Oslo, 0456, Norway.
The COVID-19 pandemic has underscored the importance of virus surveillance in public health and wastewater-based epidemiology (WBE) has emerged as a non-invasive, cost-effective method for monitoring SARS-CoV-2 and its variants at the community level. Unfortunately, current variant surveillance methods depend heavily on updated genomic databases with data derived from clinical samples, which can become less sensitive and representative as clinical testing and sequencing efforts decline.In this paper, we introduce HERCULES (High-throughput Epidemiological Reconstruction and Clustering for Uncovering Lineages from Environmental SARS-CoV-2), an unsupervised method that uses long-read sequencing of a single 1 Kb fragment of the Spike gene.
View Article and Find Full Text PDFAssociations between systemic inflammatory biomarkers and metabolic dysfunction associated steatotic liver disease: a cross-sectional study of NHANES 2017-2020.
BMC Gastroenterol
January 2025
Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a primary cause of chronic liver disease, with potential progression to cirrhosis and hepatocellular carcinoma (HCC). Although systemic inflammatory biomarkers are associated with liver diseases, their specific role in MASLD remains unclear. This study examines the association between systemic inflammatory biomarkers and MASLD.
View Article and Find Full Text PDFExplore the factors related to the death of offspring under age five and appraise the hazard of child mortality using machine learning techniques in Bangladesh.
BMC Public Health
January 2025
Department of Statistics and Data Science, Jahangirnagar University, Dhaka, 1342, Bangladesh.
Background: Child mortality is a reliable and significant indicator of a nation's health. Although the child mortality rate in Bangladesh is declining over time, it still needs to drop even more in order to meet the Sustainable Development Goals (SDGs). Machine Learning models are one of the best tools for making more accurate and efficient forecasts and gaining in-depth knowledge.
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