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Diseño metodológico de la Encuesta Nacional de Salud y Nutrición de Medio Camino 2016
Salud Pública de México2017Vol. 59(3, may-jun), pp. 299–299
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Martin Romero‐Martínez, Teresa Shamah‐Levy, Lucía Cuevas‐Nasú, Ignacio Méndez‐Gómez‐Humarán, Elsa Berenice Gaona‐Pineda, Luz María Gómez, Juan Á. Rivera, Mauricio Hernández‐Ávila
Abstract
The Ensanut-MC probabilistic design allows valid statistical inferences about interest parameters for Mexico´s public health and nutrition, specifically on overweight, obesity and diabetes mellitus. Updated information also supports the monitoring, updating and formulation of new policies and priority programs.
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