Alergia alimentar autodeclarada em idosos no Brasil: prevalência e características clínicas – Protocolo de estudo
Self-reported food allergy among older Brazilians: prevalence and clinical characteristics – a study protocol
José Laerte Boechat; José Rodrigo de Moraes; Luís Taborda-Barata; Carlos Lozoya-Ibáñez; Emanuel Sávio Cavalcanti Sarinho; Dirceu Solé
Resumo
Nas últimas décadas tem se observado um aumento expressivo na prevalência de alergia alimentar (AA), com frequência estimada em adultos de 3% a 8%, sendo ainda mais relevante quando se avalia a AA autodeclarada (variação de 3% a 35%). Entretanto, são poucos os dados publicados sobre a prevalência de AA em idosos, e no Brasil tais dados são inexistentes. O objetivo principal deste protocolo de estudo é conhecer a prevalência de AA autodeclarada em idosos (≥ 60 anos) brasileiros. Trata-se de estudo epidemiológico transversal que utiliza questionário padronizado e validado para a língua portuguesa. Entre os vários aspectos investigados, serão avaliados quais alimentos e sintomas são os mais relacionados à AA nestes indivíduos. Os dados obtidos serão transcritos a planilha Excel para realização da análise estatística. A obtenção dessas informações permitirá compará-las às existentes, assim como estabelecer planos de abordagem destes pacientes.
Palavras-chave
Abstract
In recent decades, there has been a significant increase in the prevalence of food allergies, reaching an estimated frequency of 3% to 8% in adults and even higher in self-reports (from 3% to 35%). However, published data on the prevalence of food allergies among older adults are scarce, and in Brazil they are non-existent. The main objective of this study was to investigate the prevalence of self-reported food allergy among older Brazilians (≥ 60 years). This cross-sectional epidemiological study protocol involves a questionnaire that was developed, standardized, and validated in Portuguese. The investigated aspects will include the foods and symptoms most commonly associated with food allergy in this population. The data will be input into an Excel spreadsheet for statistical analysis. Obtaining this data will allow comparison of the results with previous data and help establish treatment plans for these patients.
Keywords
References
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Submitted date:
07/22/2022
Accepted date:
08/17/2022
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