A socio-environmental analysis methodology for child malnutrition in community kitchens in high socioeconomic vulnerability areas of Argentina

Background: Malnutrition, defined as an imbalance in macro- and micronutrient intake, mainly affects children and adolescents. In Argentina, both underweight and overweight are prevalent. Socioeconomic and environmental factors, including food environments, play a crucial role in the incidence of this problem in vulnerable communities. The aim was to analyze the relationship between community food environments and malnutrition in children and adolescents aged 0 to 18 years in community kitchens in Patagonia, NEA and NOA of the Argentine territory in the year 2021. Materials and methods: Correlational ecological study. A non-probabilistic sample was used to select 449 community kitchens in Patagonia, NEA and NOA. The environmental and socioeconomic characteristics of the community kitchens were extracted from open data sources and satellite images. Thematic mapping, summary measures and Poisson regressions were performed to examine the relationship between the prevalence of malnutrition and socioeconomic and environmental variables (p<0.05).Results: The NOA region has the highest concentration of community kitchens (n=225), with a high prevalence of low height in Salta (10.78%) and low weight in Formosa (6.46%). In socioeconomic terms, the NEA presents the highest marginality (51.82%) and scarcity of drinking water (22.96%). In Patagonia, critical (41.3%) and high (28.26%) levels of food insecurity predominate, while in the NEA the risks are lower, with a predominance of low (28.65%) and very low (25.84%) risks. Conclusion: Geostatistical tools are novel for the study of CAE, facilitating a complete vision of the environment to address the various problems related to food.

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Journal
Revista Vitae
Published
2025-01-01
DOI
https://doi.org/10.17533/udea.vitae.v32n2a360199
Primary Topic
Child Nutrition and Water Access
Type
article
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article

A socio-environmental analysis methodology for child malnutrition in community kitchens in high socioeconomic vulnerability areas of Argentina

Rosana Elizabeth Maidana, Micaela Natalia Campero, T.A. Martinez, Carlos Matías Scavuzzo et al.
Revista Vitae
Child Nutrition and Water Access
article

A socio-environmental analysis methodology for child malnutrition in community kitchens in high socioeconomic vulnerability areas of Argentina

Rosana Elizabeth Maidana, Micaela Natalia Campero, T.A. Martinez, Carlos Matías Scavuzzo, Gabriel Alves Torres, María Paz Pistelli
article en

Abstract

Background: Malnutrition, defined as an imbalance in macro- and micronutrient intake, mainly affects children and adolescents. In Argentina, both underweight and overweight are prevalent. Socioeconomic and environmental factors, including food environments, play a crucial role in the incidence of this problem in vulnerable communities. The aim was to analyze the relationship between community food environments and malnutrition in children and adolescents aged 0 to 18 years in community kitchens in Patagonia, NEA and NOA of the Argentine territory in the year 2021. Materials and methods: Correlational ecological study. A non-probabilistic sample was used to select 449 community kitchens in Patagonia, NEA and NOA. The environmental and socioeconomic characteristics of the community kitchens were extracted from open data sources and satellite images. Thematic mapping, summary measures and Poisson regressions were performed to examine the relationship between the prevalence of malnutrition and socioeconomic and environmental variables (p<0.05).Results: The NOA region has the highest concentration of community kitchens (n=225), with a high prevalence of low height in Salta (10.78%) and low weight in Formosa (6.46%). In socioeconomic terms, the NEA presents the highest marginality (51.82%) and scarcity of drinking water (22.96%). In Patagonia, critical (41.3%) and high (28.26%) levels of food insecurity predominate, while in the NEA the risks are lower, with a predominance of low (28.65%) and very low (25.84%) risks. Conclusion: Geostatistical tools are novel for the study of CAE, facilitating a complete vision of the environment to address the various problems related to food.

Revista VitaeVol. 32(2)
Universidad Nacional de Córdoba (AR), Instituto de Altos Estudios Nacionales (EC), Fundación para el Desarrollo de la Ecología (BO)
Openalex Percentile: Top 76%
Child Nutrition and Water Access
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