The National Wealth Score in the Brazilian National Survey on Child Nutrition (Enani-2019)

Bibliographic Data

ID5168743
AuthorsNadya Helena Alves-Santos (0000-0002-3964-6787, Universidade Federal do Rio de Janeiro), Raquel Schincaglia (0000-0002-8450-6775, Universidade Federal do Rio de Janeiro), David Rodrigues Farias (0000-0003-0278-8375, Universidade Federal do Rio de Janeiro), Inês Rugani Ribeiro De Castro (0000-0002-7479-4400, Universidade do Estado do Rio de Janeiro), Luiz Antonio Dos Anjos (0000-0002-5257-6912, Universidade Federal Fluminense), Cristiano Siqueira Boccolini (0000-0002-4804-5641, Universidade Federal do Rio de Janeiro), Elisa Maria De Aquino Lacerda (0000-0002-1830-4278, Fundação Oswaldo Cruz), Pedro Gomes Andrade (0000-0002-0098-6047, Universidade Federal do Sul e Sudeste do Pará), Paula Normando (0000-0002-6443-7733, Universidade Federal do Rio de Janeiro), Marcelo Bessa De Freitas (0000-0003-1737-8918, Universidade Federal do Rio de Janeiro), Neilane Bertoni Dos Reis (0000-0002-2539-9965, Instituto Nacional de Câncer José Alencar Gomes da Silva, Brazil), Neilane Bertoni, Gilberto Kac (0000-0001-8603-9077, Universidade Federal do Rio de Janeiro, corresponding author)
Year2023
Volume39
Issuesuppl 2
Pagese00050822-e00050822
Publication date2023-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCadernos de Saude Publica (JOURNAL)
Journal identifiersISSN: 0102-311X • E-ISSN: 1678-4464
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/0102-311xen050822
PMID37646721
OpenAlexW4386236248
SCIELO_PIDS0102-311X2023001404001
LanguageEN
Citations received6
References cited15

The National Wealth Score (IEN) is a synthetic household index that assesses socioeconomic conditions. This study aims to present the methods used to update the IEN using data from the Brazilian National Survey on Child Nutrition (ENANI-2019). The following items were included: the education level of the mother or caregiver of the child; the number of bedrooms and bathrooms, TV sets, and cars in the household; and the presence of a radio, refrigerator or freezer, washing machine, microwave oven, telephone line, computers, air conditioner, media player devices, cable or satellite TV, cell phone ownership and type of service, cell phone internet, and internet at the household. Principal component analysis (PCA) was used to estimate the IEN with and without incorporating the complex sampling design (CSD). Thus, the IEN validation considered proxy indicators of socioeconomic status and living conditions. The first component of the PCA explained 31% and 71% of the variation with and without incorporating the CSD, respectively. The coefficients of variation of the IEN were 53.4% and 2.6% with and without incorporating the CSD, respectively. The mean IEN score was lower in households without access to a sewage system, those that received benefits from Brazilian Income Transfer Program, those with some degree of food insecurity, and those with stunted children. Adding ENANI-2019 items to the calculation of IEN to capture technological advances resulted in a better fit of the model. Incorporating the CSD increased PCA performance and the IEN precision. The new IEN has an adequate performance in determining the socioeconomic status of households with children aged under five years

Business · Economics · Environmental health · Geography · National accounts · Population · Proxy (statistics) · Socioeconomic status · Socioeconomics · Sociology · Statistics · Accounting · Child Nutrition and Water Access · Demography · Food Security and Health in Diverse Populations · Mathematics · Medicine · Obesity, Physical Activity, Diet

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