Objective: To examine the dietary behaviors of mothers from very low food security (VLFS) households following the availability of coronavirus disease 2019 (COVID-19) unemployment and Supplemental Nutrition Assistance Program benefits.
Methods: Diet and food security status were obtained from 2,584 California mothers during Federal Fiscal Year 2020. Fruits, vegetables, and 100% fruit juice (FV100%FJ), sugar-sweetened beverages, and water intake, and Healthy Eating Index-2015 scores, were compared across 4 groups (before vs after COVID-19 benefits by VLFS vs non-VLFS households) with race/ethnicity and age as covariates.
Results: Before COVID-19 benefits, VLFS was associated with fewer cups of FV100%FJ (P = 0.010), more fluid ounces of sugar-sweetened beverages (P = 0.004), and poorer diet quality (P = 0.003). After COVID-19 benefits, mothers from VLFS vs non-VLFS households reported similar dietary outcomes. VLFS mothers reported 0.96 (95% confidence interval, 0.53-1.38) more cups of FV100%FJ after COVID-19 benefits.
Conclusions And Implications: Coronavirus disease 2019 benefits may have reduced dietary inequities among low-income families. Associations between increased Supplemental Nutrition Assistance Program and unemployment benefits and decreased costs associated with the negative health outcomes linked to food insecurity and poor diets would be of value.
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http://dx.doi.org/10.1016/j.jneb.2022.10.009 | DOI Listing |
JMIR Infodemiology
January 2025
Salzburg University of Applied Sciences, Puch/Salzburg, Austria.
Background: The novel coronavirus disease (COVID-19) sparked significant health concerns worldwide, prompting policy makers and health care experts to implement nonpharmaceutical public health interventions, such as stay-at-home orders and mask mandates, to slow the spread of the virus. While these interventions proved essential in controlling transmission, they also caused substantial economic and societal costs and should therefore be used strategically, particularly when disease activity is on the rise. In this context, geosocial media posts (posts with an explicit georeference) have been shown to provide a promising tool for anticipating moments of potential health care crises.
View Article and Find Full Text PDFCurr Rheumatol Rep
January 2025
Division of Rheumatology, Department of Pediatrics, The Warren Alpert Medical School of Brown University, 593 Eddy Street, Providence, RI, 02903, USA.
Purpose: To summarize the latest research on the epidemiology, pathogenesis, diagnosis, and treatment of multisystem inflammatory syndrome in children (MIS-C).
Recent Findings: The epidemiology of MIS-C has been dynamic since its initial description. The pathogenesis remains poorly understood.
Front Public Health
January 2025
School of Journalism and New Media, Xi'an Jiaotong University, Xi'an, China.
Background: During the COVID-19 pandemic, science communication played a crucial role in disseminating accurate information and promoting scientific literacy among the public. However, the rise of anti-intellectualism on social media platforms has posed significant challenges to science, scientists, and science communication, hindering effective public engagement with scientific affairs. This study aims to explore the mechanisms through which anti-intellectualism impacts science communication on social media platforms from the perspective of communication effect theory.
View Article and Find Full Text PDFFront Public Health
January 2025
Technical Advice and Partnership Department, The Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva, Switzerland.
Next-generation sequencing (NGS) is crucial for monitoring and investigating infectious disease outbreaks, providing essential data for public health decisions. The COVID-19 pandemic has significantly expanded pathogen sequencing and bioinformatics capacities worldwide, creating an opportunity to leverage these advancements for other pathogens with pandemic and epidemic potential. In response to the need for a systematic cost estimation approach for sustainable genomic surveillance, particularly in low- and middle-income countries, five institutions collaborated to develop the genomics costing tool (GCT).
View Article and Find Full Text PDFInsights Imaging
January 2025
Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.
Objectives: This article aims to evaluate the use and effects of an artificial intelligence system supporting a critical diagnostic task during radiology resident training, addressing a research gap in this field.
Materials And Methods: We involved eight residents evaluating 150 CXRs in three scenarios: no AI, on-demand AI, and integrated-AI. The considered task was the assessment of a multi-regional severity score of lung compromise in patients affected by COVID-19.
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