TY - JOUR
T1 - Manipulación, análisis y visualización de datos de la encuesta demográfica y de salud familiar con el programa r
AU - Hernández-Vásquez, Akram
AU - Chacón-Torrico, Horacio
N1 - Funding Information:
Si bien las bases de datos (BD) de los módulos de la ENDES hasta el 2017 están alojadas en la página web del INEI (http://iinei.inei.gob.pe/microdatos/), usualmente su unión, transformación de variables y análisis suele ser complejo por la estructura propia de la encuesta, las diferentes unidades de análisis (hogares, niños, adultos, y adultos mayores), y «filtros» que deben emplearse para la selección de casos. Asimismo, la ENDES también puede ser descargada de la página web del DHS Program (https://dhsprogram.com/Data/) previo registro como usuario para fines de investigación (11); sin embargo, las bases de datos más actuales corresponden al 2012. En tal sentido, Vanderelst y Speybroeck demostraron cómo el análisis de una DHS, a pesar de su aparente complejidad, podía ser realizado y replicado en R (12). No obstante, con la implementación del cuestionario de salud en la ENDES, no se dispone de un manual o guía que permita su correcto análisis.
Funding Information:
Agradecimientos: A Mixsi Casas Bendezú, Licenciada en Estadística del Instituto Nacional de Estadística e Informática, por la revisión del manuscrito y validación de los scripts.
PY - 2019/3
Y1 - 2019/3
N2 - The Demographic and Family Health Survey (ENDES, in Spanish) is a national population-based survey with representation at the departmental level and area of residence, constituting a source of information on the health status of the Peruvian population. In order to standardize its processing and subsequent reuse by the academic community and other stakeholders, we documented the code for the manipulation, analysis, and visualization of data from the ENDES 2017 health questionnaire, through an example on the prevalence of hypertension and obesity, using the R statistical programming environment and language. The R code is presented and detailed sequentially, as well as the theoretical support of the survey structure for the manipulation of databases, considering that the complex structure of the ENDES could be a potential barrier faced by researchers. Finally, this example can serve as a basis for generating further studies based on the ENDES that are relevant to public health decision-making.
AB - The Demographic and Family Health Survey (ENDES, in Spanish) is a national population-based survey with representation at the departmental level and area of residence, constituting a source of information on the health status of the Peruvian population. In order to standardize its processing and subsequent reuse by the academic community and other stakeholders, we documented the code for the manipulation, analysis, and visualization of data from the ENDES 2017 health questionnaire, through an example on the prevalence of hypertension and obesity, using the R statistical programming environment and language. The R code is presented and detailed sequentially, as well as the theoretical support of the survey structure for the manipulation of databases, considering that the complex structure of the ENDES could be a potential barrier faced by researchers. Finally, this example can serve as a basis for generating further studies based on the ENDES that are relevant to public health decision-making.
KW - Data science
KW - Epidemiological surveys
KW - Hypertension
KW - Obesity
KW - Peru (source: MeSH NLM)
KW - Statistics as a matter
UR - http://www.scopus.com/inward/record.url?scp=85066033451&partnerID=8YFLogxK
U2 - 10.17843/rpmesp.2019.361.4062
DO - 10.17843/rpmesp.2019.361.4062
M3 - Artículo
C2 - 31116326
SN - 1726-4634
VL - 36
SP - 128
EP - 133
JO - Revista Peruana de Medicina Experimental y Salud Publica
JF - Revista Peruana de Medicina Experimental y Salud Publica
IS - 1
ER -
