Consumo de productos ultraprocesados en hogares argentinos durante 2017-2018: influencia de factores sociodemográficos y geográficos

María Elisa Zapata; Matías Salvador Ballesteros; Betina Freidin; Camila Tamburini; Alicia Rovirosa

doi:10.31052/1853.1180.v29.n2.40929

Authors

María Elisa Zapata Centro de Estudios sobre Nutrición Infantil Dr. Alejandro O’Donnell (CESNI), Ciudad Autónoma de Buenos Aires, Argentina.
Matías Salvador Ballesteros Consejo Nacional de Investigaciones Científicas y Técnicas, con sede en el Instituto de Investigaciones Gino Germani, Facultad de Ciencias Sociales, Universidad de Buenos Aires. Ciudad autónoma de Buenos Aires, Argentina.
Betina Freidin Consejo Nacional de Investigaciones Científicas y Técnicas con sede en el Instituto de Investigaciones Gino Germani. Universidad de Buenos Aires. Ciudad Autónoma de Buenos Aires, Argentina.
Camila Tamburini Centro de Estudios sobre Nutrición Infantil Dr. Alejandro O’Donnell (CESNI), Ciudad Autónoma de Buenos Aires, Argentina
Alicia Rovirosa Centro de Estudios sobre Nutrición Infantil Dr. Alejandro O’Donnell (CESNI), Ciudad Autónoma de Buenos Aires, Argentina

DOI:

https://doi.org/10.31052/1853.1180.v29.n2.40929

Keywords:

Socioeconomic Factors, Food Consumption, Socioeconomic Survey, Argentina

Abstract

Objective: To analyze the influence of geographic and sociodemographic variables on apparent energy consumption from ultra-processed products in urban Argentine homes.

Methods: Descriptive, correlational, and cross-sectional study using data from the 2017-18 National Household Expenditure Survey. Bivariate and multivariate analyses were used to examine the relationship between the percentage of energy from ultra-processed products and geographic and sociodemographic variables.

Results: Ultra-processed products provide 30.3% of energy. The highest contribution was observed in homes in the Great Buenos Aires area, with higher incomes, higher educational levels, not receiving government assistance, without elderly adults, and without children under 14 years old. After controlling the other sociodemographic characteristics, educational level is the most explanatory variable, and homes with children under 14 show a higher percentage of energy coming from ultra-processed products.

Conclusion: Differences in consumption highlight the need for strategies that take these aspects into account to ensure food security and nutritional quality.

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