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Evaluating the relationship between conditional cash transfer programme on preterm births: a retrospective longitudinal study using the 100 million Brazilian cohort.
Ortelan, Naiá; de Almeida, Márcia Furquim; Pinto Júnior, Elzo Pereira; Bispo, Nivea; Fiaccone, Rosemeire L; Falcão, Ila Rocha; Rocha, Aline Dos Santos; Ramos, Dandara; Paixão, Enny S; de Cássia Ribeiro-Silva, Rita; Rodrigues, Laura C; Barreto, Mauricio L; Ichihara, Maria Yury T.
  • Ortelan N; Center for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute (IGM), Oswaldo Cruz Foundation (FIOCRUZ-BA), Salvador, Bahia, Brazil. naia.ortelan@fiocruz.br.
  • de Almeida MF; Center for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation. Edifício Tecnocentro, Rua Mundo, 121, Trobogy, Salvador, Bahia, 41745-715, Brazil. naia.ortelan@fiocruz.br.
  • Pinto Júnior EP; School of Public Health, University of São Paulo (USP), Sao Paulo, Brazil.
  • Bispo N; Center for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute (IGM), Oswaldo Cruz Foundation (FIOCRUZ-BA), Salvador, Bahia, Brazil.
  • Fiaccone RL; Center for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute (IGM), Oswaldo Cruz Foundation (FIOCRUZ-BA), Salvador, Bahia, Brazil.
  • Falcão IR; Institute of Mathematics and Statistics, Federal University of Bahia (UFBA), Salvador, Bahia, Brazil.
  • Rocha ADS; Center for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute (IGM), Oswaldo Cruz Foundation (FIOCRUZ-BA), Salvador, Bahia, Brazil.
  • Ramos D; Institute of Mathematics and Statistics, Federal University of Bahia (UFBA), Salvador, Bahia, Brazil.
  • Paixão ES; Center for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute (IGM), Oswaldo Cruz Foundation (FIOCRUZ-BA), Salvador, Bahia, Brazil.
  • de Cássia Ribeiro-Silva R; Center for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute (IGM), Oswaldo Cruz Foundation (FIOCRUZ-BA), Salvador, Bahia, Brazil.
  • Rodrigues LC; Center for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute (IGM), Oswaldo Cruz Foundation (FIOCRUZ-BA), Salvador, Bahia, Brazil.
  • Barreto ML; Collective Health Institute, Federal University of Bahia (UFBA), Salvador, Bahia, Brazil.
  • Ichihara MYT; Center for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute (IGM), Oswaldo Cruz Foundation (FIOCRUZ-BA), Salvador, Bahia, Brazil.
BMC Public Health ; 24(1): 713, 2024 Mar 05.
Article en En | MEDLINE | ID: mdl-38443875
ABSTRACT

BACKGROUND:

Preterm births increase mortality and morbidity during childhood and later life, which is closely associated with poverty and the quality of prenatal care. Therefore, income redistribution and poverty reduction initiatives may be valuable in preventing this outcome. We assessed whether receipt of the Brazilian conditional cash transfer programme - Bolsa Familia Programme, the largest in the world - reduces the occurrence of preterm births, including their severity categories, and explored how this association differs according to prenatal care and the quality of Bolsa Familia Programme management.

METHODS:

A retrospective cohort study was performed involving the first live singleton births to mothersenrolled in the 100 Million Brazilian Cohort from 2004 to 2015, who had at least one child before cohort enrollment. Only the first birth during the cohort period was included, but born from 2012 onward. A deterministic linkage with the Bolsa Familia Programme payroll dataset and a similarity linkage with the Brazilian Live Birth Information System were performed. The exposed group consisted of newborns to mothers who received Bolsa Familia from conception to delivery. Our outcomes were infants born with a gestational age < 37 weeks (i) all preterm births, (ii) moderate-to-late (32-36), (iii) severe (28-31), and (iv) extreme (< 28) preterm births compared to at-term newborns. We combined propensity score-based methods and weighted logistic regressions to compare newborns to mothers who did and did not receive Bolsa Familia, controlling for socioeconomic conditions. We also estimated these effects separately, according to the adequacy of prenatal care and the index of quality of Bolsa Familia Programme management.

RESULTS:

1,031,053 infants were analyzed; 65.9% of the mothers were beneficiaries. Bolsa Familia Programme was not associated with all sets of preterm births, moderate-to-late, and severe preterm births, but was associated with a reduction in extreme preterm births (weighted OR 0.69; 95%CI 0.63-0.76). This reduction can also be observed among mothers receiving adequate prenatal care (weighted OR 0.66; 95%CI 0.59-0.74) and living in better Bolsa Familia management municipalities (weighted OR 0.56; 95%CI 0.43-0.74).

CONCLUSIONS:

An income transfer programme for pregnant women of low-socioeconomic status, conditional to attending prenatal care appointments, has been associated with a reduction in extremely preterm births. These programmes could be essential in achieving Sustainable Development Goals.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Nacimiento Prematuro Límite: Child / Female / Humans / Infant / Newborn / Pregnancy País como asunto: America do sul / Brasil Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Nacimiento Prematuro Límite: Child / Female / Humans / Infant / Newborn / Pregnancy País como asunto: America do sul / Brasil Idioma: En Año: 2024 Tipo del documento: Article