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Food Insecurity among Low-Income Food Handlers: A Nationwide Study in Brazilian Community Restaurants

This study aims to evaluate food insecurity (FI) among Brazilian Community restaurant food handlers and its associated factors. This cross-sectional study was performed with a representative sample of 471 food handlers working in community restaurants (CR) from all Brazilian regions. Participants ar...

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Detalles Bibliográficos
Autores principales: Fideles, Ingrid C., Akutsu, Rita de Cassia Coelho de Almeida, Barroso, Rosemary da Rocha Fonseca, Costa-Souza, Jamacy, Zandonadi, Renata Puppin, Raposo, António, Botelho, Raquel Braz Assunção
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908291/
https://www.ncbi.nlm.nih.gov/pubmed/33525563
http://dx.doi.org/10.3390/ijerph18031160
Descripción
Sumario:This study aims to evaluate food insecurity (FI) among Brazilian Community restaurant food handlers and its associated factors. This cross-sectional study was performed with a representative sample of 471 food handlers working in community restaurants (CR) from all Brazilian regions. Participants are mostly female (62.2%), ≤40 years old (67.7%), with a partner (52.0%), and with up to eight years of education (54.1%). Predictors of participants’ socioeconomic status and CR geographic location are associated with the household food insecurity categories (p < 0.05). The predictors of socioeconomic conditions are associated with mild and moderate/severe FI category. Workers with less education are twice as likely to belong to the category with the highest FI severity. Lower per capita household income increased the chances of belonging to the mild insecurity category by 86%. It more than doubled the chance to be in the category of moderate/severe insecurity. Predictors of health status, lifestyle, and work are not associated with any multinomial outcome categories. However, working in the South, Southeast, or Midwest regions of Brazilian decreased the chances of belonging to one of the FI categories, with significance only for the mild category. Variables that show an association for this population are per capita household income for the different levels of FI and the CR region for mild FI. A high prevalence of FI in this population points to the need for more studies with low-income workers to prevent FI and its health consequences.