Publications by authors named "Victoria Rivkina"

Background: The coronavirus disease 2019 (COVID-19) pandemic profoundly affected food systems including food security. Understanding how the COVID-19 pandemic impacted food security is important to provide support and identify long-term impacts and needs.

Objective: The National Food Access and COVID research Team (NFACT) was formed to assess food security over different US study sites throughout the pandemic, using common instruments and measurements.

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Although peanut allergy is among the most common food allergies, no study has comprehensively described the epidemiology of the condition among the general pediatric population. Our objective was to better characterize peanut allergy prevalence, diagnosis trends, and reaction history among affected children identified from a representative sample of United States households with children. A randomized, cross sectional survey was administered to parents from June 2009 to February 2010.

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Background: Chronic disease among school-aged children is a public health concern, particularly for asthma and food allergy. In Chicago Public Schools (CPS), rates of asthma and food allergy among students are underreported. The aim of this study was to determine the barriers to chronic disease reporting as experienced by CPS parents and school nurses.

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Background: Given the increase in childhood food allergy, national and local policies have been developed to encourage schools to stock undesignated epinephrine auto-injectors in case of an anaphylactic emergency.

Purpose: To describe the use of epinephrine auto-injectors in Chicago Public Schools during the 2012-2013 school year, specifically for food-induced allergic reactions.

Methods: District-issued epinephrine auto-injectors were distributed to all public and charter schools in Chicago prior to the start of the 2012-2013 school year.

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Objectives: This study aimed to characterize asthma and food allergy reporting and management in Chicago Public Schools.

Methods: Demographic and health data for students who have asthma and food allergy were extracted from the Chicago Public Schools database. Demographic and geographic variability and the existence of school health management plans were analyzed, and multiple logistic regression models were computed.

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