Diseño del Monitoreo Nacional de Indicadores Nutricionales (Monin), Perú 2007-2010
Bibliographic Data
| ID | 15533276 |
|---|---|
| Authors | Miguel Campos (0000-0003-4650-1225, Universidad Peruana Cayetano Heredia, corresponding author), Rita Ricaldi-Sueldo (Instituto Nacional de Salud), Marianella Miranda-Cuadros (0000-0002-7737-4401, Instituto Nacional de Salud), Equipo MONIN (Centro de Investigación de Métodos Computacionales) |
| Year | 2011 |
| Volume | 28 |
| Issue | 2 |
| Publication date | 2011-06-30 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Revista Peruana de Medicina Experimental y Salud Pública (JOURNAL) |
| Journal identifiers | ISSN: 1726-4634 • E-ISSN: 1726-4642 |
| Publisher | National Institute of Health of Peru (PUBLISHER • PE) |
| DOI | 10.17843/rpmesp.2011.282.486 |
| OpenAlex | W4242191573 |
| Language | ES |
| References cited | 1 |
Objectives. To describe the design and methods of the national surveillance of nutritional indicators (MONIN) 2007-2010, carried out by INS/CENAN. Materials and methods. MONIN was designed as a continuous (repeated cross-sectional) survey, with stratified multi-stage random sampling, considering the universe as all under five children and pregnant women residing in Peru, divided into 5 geographical strata and 6 trimesters (randomly permuted weeks, about 78% of the time between November 19, 2007 and April 2, 2010). Results. The total sample was 3,827 children in 361 completed clusters. The dropout rate was 8.4% in clusters, 1.8% in houses, and 13.2% in households. Dropout was also 4.2, 13.3, 21.2, 55% and 29% in anthropometry, hemoglobin, food intake, retinol and ioduria measurements, respectively. Conclusions. The MONIN design is feasible and useful for the estimation of indicators of childhood malnutrition
Anthropometry · Dropout (neural networks · Environmental health · Statistics · Child Nutrition and Water Access · Demography · Environmental Science · Mathematics · Medicine
| Highly cited | No |
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