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| http://dx.doi.org/10.2105/AJPH.2019.305446 | DOI Listing |
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Targeting ultra-processed foods for prevention of type 2 diabetes: state of the evidence and future directions.
Diabetologia
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Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
The incidence of type 2 diabetes has risen globally, in parallel with the obesity epidemic and environments promoting a sedentary lifestyle and low-quality diet. There has been scrutiny of ultra-processed foods (UPFs) as a driver of type 2 diabetes, underscored by their increasing availability and intake worldwide, across countries of all incomes. This narrative review addresses the accumulated evidence from investigations of the trends in UPF consumption and the relationship with type 2 diabetes incidence.
View Article and Find Full Text PDFEffects of gut microbiota and metabolites on the host defense peptide expression.
Appl Microbiol Biotechnol
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National Engineering Research Center of Green Feeds and Healthy Livestock Industry, Hangzhou, 310058, Zhejiang, China.
The widespread use of antibiotics has led to the emergence of multidrug-resistant bacteria, which pose significant threats to animal health and food safety. Host defense peptides (HDPs) have emerged as promising alternatives because of their unique antimicrobial properties and minimal resistance induction. However, the high costs associated with HDP production and incorporation into animal management practices hinder their widespread application.
View Article and Find Full Text PDFLand use and cover changes and sand fly (Diptera: Psychodidae) assemblages in an emerging focus of leishmaniasis.
Med Vet Entomol
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Department of Chemistry and Biology, Universidade Estadual do Maranhão, Caxias, Brazil.
Land use and cover changes lead to fragmentation of the natural habitats of sand flies and modify the epidemiological profile of leishmaniasis. This process contributes to the infestation of adjacent rural settlements by vector sand fly species with different degrees of adaptation, promoting leishmaniasis outbreaks. This study aimed to assess land use and cover changes over a 12-year period and investigate the diversity and abundance of sand fly assemblages in the rural area of Codó, Maranhão State, Brazil.
View Article and Find Full Text PDFDevelopment and validation of the Information Literacy Measurement Scale (ILMS-34) in Chinese public health practitioners.
BMC Med Educ
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School of Health Management, Southern Medical University, Guangzhou, 510515, China.
Background: Public health professionals (PHPs) have increasing information needs to inform evidence-based public health decisions and practice, which requires good information literacy. A comprehensive and reliable assessment tool is necessary to assess PHPs' literacy and guide future promotion programs. However, there is a lack of measurement tools specifically for the information literacy of PHPs.
View Article and Find Full Text PDFMitigating bias in AI mortality predictions for minority populations: a transfer learning approach.
BMC Med Inform Decis Mak
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Department of Clinical Pharmacy and Translational Science, The University of Tennessee Health Science Center, Memphis, TN, USA.
Background: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographic biases, particularly affecting racial and ethnic minorities. The objective of this study is to investigate the demographic biases in AI models predicting COVID-19 mortality and to assess the effectiveness of transfer learning in improving model fairness across diverse demographic groups.
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