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Public Health Nutr ; 24(6): 1210-1215, 2021 04.
Article in English | MEDLINE | ID: covidwho-997753

ABSTRACT

OBJECTIVE: To investigate food insecurity (FI) prevalence in two favelas in Brazil in the early weeks of the social distancing policy, from 27 March 2020 to 1 June 2020. DESIGN: A cross-sectional study using an online questionnaire to elicit information on socio-economic and demographic characteristics, the types of stores visited to buy food, and FI screening. The FI experience was evaluated according to the Brazilian Food Insecurity Scale. Factors associated with moderate or severe FI were investigated using the logistic regression model. SETTING: São Paulo city, Brazil. PARTICIPANTS: Totally, 909 householders. RESULTS: Eighty-eight per cent of the households included young women working as cleaners or kitchen assistants and in sales services. One-fifth of the participants were involved in the federal cash transfer programme, called Bolsa Família. There were 92 % households with children. The most frequent experience reported was uncertainty about food acquisition or receiving more (89 %), eating less than one should (64 %), not being able to eat healthy and nutritious food (46 %), and skipping a meal (39 %). Forty-seven per cent of the participants experienced moderate or severe FI. Factors associated with moderate and severe FI were low income, being a Bolsa Família recipient, having a low level of education and living in a household without children. CONCLUSIONS: Half of the participants experienced moderate or severe FI, and almost 10 % experienced hunger. Our data suggest that families with children were at a lower risk of moderate to severe FI. It is possible that nationally established social programmes such as Bolsa Família were protecting those families.


Subject(s)
COVID-19/prevention & control , Communicable Disease Control/statistics & numerical data , Food Insecurity , Food Supply/economics , Socioeconomic Factors , Adult , Brazil/epidemiology , Cities/epidemiology , Consumer Behavior , Cross-Sectional Studies , Family Characteristics , Feeding Behavior , Female , Humans , Income/statistics & numerical data , Logistic Models , Male , Physical Distancing , Prevalence , SARS-CoV-2
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