Prevalence and factors associated with unplanned pregnancy in a Brazilian capital in the Northeast

• Autor(a) principal: Costa,Ana Cleide Mineu
• Data de Publicação: 2021
• Outros Autores: Oliveira,Bruno Luciano Carneiro Alves de, Alves,Maria Teresa Seabra Soares de Britto e
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista Brasileira de Saúde Materno Infantil (Online)
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292021000400461
• topic: Unplanned pregnancy; Reproductive planning; Reproductive health; Inequalitiess

Abstract Objectives: to analyze the prevalence and factors associated with unplanned pregnancy in a Brazilian capital in the Northeast. Methods: a cross-sectional study nested to a hospital birth cohort with a probable sample of 5,110 puerperal women. Associated factors were analyzed using a hierarchical theoretical model in three levels: distal (women’s socioeconomic and demographic characteristics), intermediate (reproductive characteristics, maternal habits and BMI), and proximal level (partner's characteristics). Multivariate Poisson regression analysis was performed. Results: the prevalence of unplanned pregnancy was 68.1% (CI95%=66.8-69.4). Multivariate analysis showed association with black skin color/race (PR=1.03; CI95%=1.01- 1.07), mother's age group up to 19 years old (PR=1.09; CI95%=1.06-1.12) and 20 to 24 years old (PR=1.04; CI95%=1.01-1.07), not living with partner (PR=1.09; CI95%=1.07- 1.11), highest number of people in the household: 5 people (PR= 1.10; CI95%=1.08-1.13) and 3 to 4 (PR=1.08; CI95%=1.05-1.10), number of ≥4 children (PR=1.09; CI95%=1.06- 1.13) and 2 or 3 children (PR=1.03; CI95%=1.02-1.05), alcohol consumption (PR=1.03; CI95%=1.01-1.05), malnourished pre-pregnancy BMI (PR=1.03; CI95%=1.01-1.06) and partner’s low schooling (5 to 8 years) (PR=1.03; CI95%=1.01-1.07). Prior abortion was inversely associated with planned pregnancy (PR=0.95; CI95%=0.93-0.97). Conclusions: the prevalence of unplanned pregnancy was high and was associated with socioeconomic and demographic characteristics that reflect on the combination of the complex inequalities that impact women and their partners