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1.
J Public Health (Oxf) ; 39(4): 704-711, 2017 12 01.
Article in English | MEDLINE | ID: mdl-27980018

ABSTRACT

Background: This study tested the hypothesis that the birthweight paradox would not be observed when assessing the effect of maternal education on neonatal mortality in the presence of socioeconomic inequality in access to health care. Methods: Non-concurrent cohort study. Passive follow-up of live-born infants using probabilistic record linkage of birth and death records for Rio de Janeiro (2004-2010; n = 1 445 367). Maternal age, birthweight and neonatal death were evaluated according to maternal educational level strata (<4, 4-11 and ≥12 years of study). We estimated the association between maternal educational level and neonatal mortality using logistical regression models adjusted for maternal age and birthweight (<2500 g and ≥2500 g). Results: Neonatal mortality was 1.8 times higher in low educational level group compared with high educational level. We did not find birthweight-specific mortality curves crossing over in the stratum under 2500 g (birthweight paradox). The odds of a low birthweight child being born in facilities without neonatal intensive care units was about 70% higher in the group of low education when compared with mothers with high education. Conclusions: The absence of crossing birthweight-specific mortality curves may be a reason for concern about the severity of the disadvantages faced by low maternal education women.


Subject(s)
Birth Weight , Educational Status , Infant Mortality , Mothers/statistics & numerical data , Brazil/epidemiology , Cohort Studies , Databases, Factual , Health Services Accessibility , Humans , Infant , Infant, Low Birth Weight , Infant, Newborn , Logistic Models , Risk Factors , Socioeconomic Factors
2.
J Pediatr Adolesc Gynecol ; 25(3): 185-9, 2012 Jun.
Article in English | MEDLINE | ID: mdl-22297275

ABSTRACT

OBJECTIVES: The objectives were to investigate the prevalence of adverse birth outcomes according to maternal age range in the city of Rio de Janeiro, Brazil, in 2002, and to evaluate the association between maternal age range and adverse birth outcomes using additive interaction to determine whether adequate prenatal care can attenuate the harmful effect of young age on pregnancy outcomes. METHODS: A cross-sectional analysis was performed in women up to 24 years of age who gave birth to live children in 2002 in the city of Rio de Janeiro. To evaluate adverse outcomes, the exposure variable was maternal age range, and the outcome variables were very preterm birth, low birth weight, prematurity, and low 5-minute Apgar score. The presence of interaction was investigated with the composite variable maternal age plus prenatal care. The proportions and respective 95% confidence intervals were calculated for adequate schooling, delivery in a public maternity hospital, and adequate prenatal care, and the outcomes according to maternal age range. The chi-square test was used. The association between age range and birth outcomes was evaluated with logistic models adjusted for schooling and type of hospital for each prenatal stratum and outcome. Attributable proportion was calculated in order to measure additive interaction. RESULTS: Of the 40,111 live births in the sample, 1.9% corresponded to children of mothers from 10-14 years of age, 38% from 15-19 years, and 59.9% from 20-24 years. An association between maternal age and adverse outcomes was observed only in adolescent mothers with inadequate prenatal care, and significant additive interaction was observed between prenatal care and maternal age for all the outcomes. CONCLUSION: Adolescent mothers and their newborns are exposed to greater risk of adverse outcomes when prenatal care fails to comply with current guidelines.


Subject(s)
Maternal Age , Pregnancy Outcome , Pregnancy in Adolescence , Prenatal Care/standards , Adolescent , Apgar Score , Brazil , Chi-Square Distribution , Child , Cross-Sectional Studies , Female , Humans , Infant, Low Birth Weight , Infant, Newborn , Infant, Premature , Logistic Models , Pregnancy , Premature Birth , Socioeconomic Factors , Young Adult
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