Citas bibligráficas
Paucar, B., (2016). Asociación entre factores sociodemográficos y errores de refracción en población de 6 a 11 años en el Perú. Un estudio basado en la ENDES 2014 [Tesis, Universidad Nacional Mayor de San Marcos]. https://hdl.handle.net/20.500.12672/4738
Paucar, B., Asociación entre factores sociodemográficos y errores de refracción en población de 6 a 11 años en el Perú. Un estudio basado en la ENDES 2014 [Tesis]. PE: Universidad Nacional Mayor de San Marcos; 2016. https://hdl.handle.net/20.500.12672/4738
@misc{renati/472686,
title = "Asociación entre factores sociodemográficos y errores de refracción en población de 6 a 11 años en el Perú. Un estudio basado en la ENDES 2014",
author = "Paucar Barrueta, Benjamín Eduardo",
publisher = "Universidad Nacional Mayor de San Marcos",
year = "2016"
}
--- Introduction: In our country, studies related to ocular refractive defects are little studied, despite the increase in global research to determine the causal factors of these, of which has been raised many factors such as genetic and environmental, and within the latter, sociodemographic factors such as place of residence, education level and socioeconomic status are. Objective: The objective of this study is to determine whether there is any association between the development of a refractive defect and sociodemographic factors in population aged 6-11 years old. Design: Case-control study. Study population: People from 6 to 11 years as part of the ENDES 2014. Methodology: The database ENDES 2014 was obtained from INEI website, which will be processed in SPSS version 23 software; to determine the association between sociodemographic factors and refractive errors will be obtained using the odds ratio and chi-square test. Results: 2220 cases was obtained according to the selection criteria and exclusion. 21.6% had a diagnosis of refractive error. Myopia refractive error was the most prevalent (14.46%), followed by astigmatism (6.31%) and hyperopia (0.86%). Risk association was found, in general, as the level of wealth (Poor [p=0.001]: OR=2.72; 95%-CI:1.53-4.85. Medium [p<0.001]: OR=6.53; 95%-IC:3.59- 11.87. Rich [p<0.001]: OR=10.26; 95%-CI:5.49-19.17. Very rich [p <0.001]: OR=17.62; 95%-CI:9.42-32.98) and urban population (p=0.036; OR=1.56; 95%-CI:1.03-2.37). No association with gender, age, education level and region of origin was found. In the separate analysis of the ametropies studied, myopia has the same type of association with the level of wealth and the kind of place of origin, but not farsightedness or astigmatism, diseases in which no association was found with nary a sociodemographic variables. Conclusions: From the findings in this study, we can say that there are certain socioeconomic characteristics that can be considered as factors that may influence the development of ametropia, particularly myopia (table showing the same associations they found that a general level), such as the level of wealth and the kind of place of residence. Key words: refractive errors, ametropies, sociodemographic factors, schoolchildren.
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