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- Title
Dietary patterns of children aged 6–24 months assisted by the Bolsa Família Program.
- Authors
Mendes, Marília Moura e; Marçal, Giovana de Montemor; Rinaldi, Ana Elisa Madalena; Bueno, Nassib Bezerra; Florêncio, Telma Maria de Menezes Toledo; Clemente, Ana Paula Grotti
- Abstract
Objective: This study aimed to verify the association between socio-economic and demographic characteristics and dietary patterns (DP) of children assisted by the Conditional Cash Transfer Program, Bolsa Família Program (BFP). Design: This is a cross-sectional study. DP were defined using a principal component analysis. The association of the predictive variables and DP was modelled using multilevel linear regression analysis. Setting: This study was conducted in six municipalities from the State of Alagoas, Brazil. Participants: The participants were children aged 6–24 months who were assisted by the BFP. Results: A total of 1604 children were evaluated. Four DP were identified (DP1, DP2, DP3 and DP4). DP1 is composed of traditional Brazilian food. DP2 is formed mostly from ultra-processed foods (UPF). DP3 consists of milk (non-breast) with added sugar, while DP4 consists of fresh and minimally processed foods. Caregivers with higher age and education (β = −0·008; (95 % CI −0·017, −0·000); β = −0·037; (95 % CI −0·056, −0·018), respectively) were negatively associated with DP2. We observed a negative association between households with food insecurity (β = −0·204; (95 % CI −0·331, −0·078)) and DP4 and a positive association between caregivers with higher age and education (β = 0·011; (95 % CI (0·003; 0·019); β = 0·043; (95 % CI 0·025, 0·061), respectively) and DP4. Conclusion: This study identified the association between socio-economic inequities and DP early in life, with an early introduction of UPF, in children assisted by BFP in the State of Alagoas.
- Subjects
ALAGOAS (Brazil); BRAZIL; CONDITIONAL cash transfer programs; PRINCIPAL components analysis; DEMOGRAPHIC characteristics; REGRESSION analysis; LINEAR statistical models; FOOD security; CITIES &; towns
- Publication
Public Health Nutrition, 2022, Vol 25, Issue 10, p2794
- ISSN
1368-9800
- Publication type
Article
- DOI
10.1017/S1368980021004110