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Estimating the Effect of Adhering to the Recommendations of the 2019 Canada's Food Guide on Health Outcomes in Older Adults: Protocol for a Target Trial Emulation.
JMIR Res Protoc
January 2025
School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, QC, Canada.
Background: The 2019 Canada's Food Guide provides universal recommendations to individuals aged ≥2 years. However, the extent to which these recommendations are appropriate for older adults is unknown. Although ideal, conducting a large randomized controlled trial is unrealistic in the short term.
View Article and Find Full Text PDFPGT-A: what's it for, what's wrong?
J Assist Reprod Genet
January 2025
Department of Obstetrics and Gynecology, Cairo University, Cairo, Egypt.
PGT-A, what's it for? Considering the increase in fetal aneuploidies with a woman's age and the high number of miscarriages associated with fetal karyotype anomalies, the concept of selecting IVF embryos based on their karyotype in order to transfer only euploid embryos and eliminate aneuploid ones was proposed. Preimplantation genetic testing for aneuploidy (PGT-A) was then established, nearly 30 years ago, with the expectation that the transfer of euploid embryos would lead to a significant improvement in medically assisted reproduction (MAR) outcomes. PGT-A, what's wrong? Despite the practice and widespread use, PGT-A has not consistently proven its effectiveness.
View Article and Find Full Text PDFIdentification of distinct pesticide poisoning patterns in Brazil: a cross-sectional cluster analysis of epidemiological data.
Int Arch Occup Environ Health
January 2025
Department of Quantitative Methods, Federal University of the State of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil.
Purpose: This study aimed to identify distinct patterns of pesticide poisoning in Brazil through the cluster analysis of epidemiological data from 2011 to 2019.
Methods: A cross-sectional analysis of 49,233 confirmed pesticide poisoning cases was conducted using multiple correspondence analysis and hierarchical clustering. Data from the Brazilian Notifiable Diseases Information System were analyzed by region, demographics, and exposure types.
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