Pablo A Nuñez1,2, María Soledad Fernández1, Pablo Turjanski3, Adriana Pérez1, María Romina Rivero2, Carlos De Angelo4, Oscar D Salomón2, Gerardo Cueto1. 1. Grupo de Bioestadística Aplicada, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires and CONICET, Buenos Aires, Argentina. 2. Instituto Nacional de Medicina Tropical, Puerto Iguazú, Argentina. 3. Departamento de Computación, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires and CONICET, Buenos Aires, Argentina. 4. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente, Universidad Nacional de Río Cuarto and CONICET, Río Cuarto, Argentina.
Abstract
OBJECTIVE: To estimate trends in the prevalence of child stunting in the population of children under 5 years of age covered by public health programmes, between 2009 and 2014 in Misiones, Argentina. METHODS: Using Bayesian model-based geostatistics, we evaluated 724 872 anthropometric measurements corresponding to 110 633 children. In order to identify disparities at local scale, we evaluated the hypotheses of a differential reduction of stunting according to the geographical location (at two-level spatial resolution) and to the socioeconomic level in a rural or urban environment. RESULTS: The prevalence of stunting had fallen significantly in the province overall. Sex and age defined gender disparities at individual level, and there were regional disparities with higher prevalence values in the north and northeast regions. In these areas, stunting decreased to a greater degree during the studied period, although the spatial pattern remained smoother. Stunting increased in peripheral urban and dispersed rural areas that are socioeconomically vulnerable. CONCLUSIONS: The spatial multi-level geostatistical estimates of child undernutrition provide a precision public health tool to target public policies to those populations with the greatest need, in order to reduce health disparities.
OBJECTIVE: To estimate trends in the prevalence of child stunting in the population of children under 5 years of age covered by public health programmes, between 2009 and 2014 in Misiones, Argentina. METHODS: Using Bayesian model-based geostatistics, we evaluated 724 872 anthropometric measurements corresponding to 110 633 children. In order to identify disparities at local scale, we evaluated the hypotheses of a differential reduction of stunting according to the geographical location (at two-level spatial resolution) and to the socioeconomic level in a rural or urban environment. RESULTS: The prevalence of stunting had fallen significantly in the province overall. Sex and age defined gender disparities at individual level, and there were regional disparities with higher prevalence values in the north and northeast regions. In these areas, stunting decreased to a greater degree during the studied period, although the spatial pattern remained smoother. Stunting increased in peripheral urban and dispersed rural areas that are socioeconomically vulnerable. CONCLUSIONS: The spatial multi-level geostatistical estimates of child undernutrition provide a precision public health tool to target public policies to those populations with the greatest need, in order to reduce health disparities.
Authors: Zhifei Liu; Yue-Mei Fan; Per Ashorn; Chilungamo Chingwanda; Kenneth Maleta; Lotta Hallamaa; Heikki Hyöty; David Chaima; Ulla Ashorn Journal: Int J Environ Res Public Health Date: 2022-09-01 Impact factor: 4.614