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Socioeconomic inequality in preterm birth in four Brazilian birth cohort studies

Overview of attention for article published in Jornal de Pediatria, May 2017
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Title
Socioeconomic inequality in preterm birth in four Brazilian birth cohort studies
Published in
Jornal de Pediatria, May 2017
DOI 10.1016/j.jped.2017.02.003
Pubmed ID
Authors

Ana Daniela Izoton de Sadovsky, Alicia Matijasevich, Iná S. Santos, Fernando C. Barros, Angelica Espinosa Miranda, Mariangela Freitas Silveira

Abstract

To analyze economic inequality (absolute and relative) due to family income in relation to the occurrence of preterm births in Southern Brazil. Four birth cohort studies were conducted in the years 1982, 1993, 2004, and 2011. The main exposure was monthly family income and the primary outcome was preterm birth. The inequalities were calculated using the slope index of inequality and the relative index of inequality, adjusted for maternal skin color, education, age, and marital status. The prevalence of preterm births increased from 5.8% to approximately 14% (p-trend<0.001). Late preterm births comprised the highest proportion among the preterm births in all studies, although their rates decreased over the years. The analysis on the slope index of inequality demonstrated that income inequity arose in the 1993, 2004, and 2011 studies. After adjustment, only the 2004 study maintained the difference between the poorest and the richest subjects, which was 6.3 percentage points. The relative index of inequality showed that, in all studies, the poorest mothers were more likely to have preterm newborns than the richest. After adjustment for confounding factors, it was observed that the poorest mothers only had a greater chance of this outcome in 2004. In a final model, economic inequities resulting from income were found in relation to preterm births only in 2004, although a higher prevalence of prematurity continued to be observed in the poorest population, in all the studies.

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Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 16%
Student > Bachelor 5 9%
Researcher 5 9%
Student > Ph. D. Student 5 9%
Student > Doctoral Student 3 5%
Other 6 11%
Unknown 23 41%
Readers by discipline Count As %
Nursing and Health Professions 11 20%
Medicine and Dentistry 11 20%
Social Sciences 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Agricultural and Biological Sciences 1 2%
Other 3 5%
Unknown 27 48%