Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Cited by Google
- Similars in SciELO
- Similars in Google
Share
Revista Médica de Risaralda
Print version ISSN 0122-0667
Abstract
GERONIMO ORTEGA, Néstor Ricardo. Preterm birth from live-born registry in the period between 2008 - 2017 in Colombia. Revista médica Risaralda [online]. 2020, vol.26, n.2, pp.138-147. ISSN 0122-0667. https://doi.org/10.22517/25395203.22091.
Background:
Preterm birth is one of the main problems in infant health and it is the leading cause of infant mortality in developing countries. During the last 20 years this particularity has been increasing in the world for different reasons. Knowing its trend and population characteristics is a useful element for its attention.
Objectives:
To describe the population characteristics associated with preterm birth in Colombia from the data of the Live Birth Registry in the decade 2008 - 2017.
Methods:
Descriptive ecological study using secondary sources such us Vital Statistics microdata from DANE; information stored in the Microsoft Office® Excel program. Also, the analysis of the time/place/person variables in the SPSS ™ statistical program through descriptive statistics, and association analysis using the Chi-square statistic and the Phi correlation coefficient for the statistical association between variables was implemented.
Results:
6,705,385 records from live-born registry were analyzed. 1,277,839 corresponded to preterm birth up to 37 weeks of gestation with 19% of prevalence all years. The departments with the highest rate of premature infants were Atlántico, Bogotá, Antioquia, and Santander. No strong association was found with live birth registry data.
Conclusions:
There is lack of complete and accessible information to researchers related to preterm birth. The data is not homogeneous and does not follow specific parameters. However, the live-born registry is an excellent instrument for collecting population data and a useful basis for approaching this event.
Keywords : Premature delivery; Ecological Studies; Phi correlation coefficient, premature newborn.