Cesarean sections and early-term births according to Robson classification: a population-based study with more than 17 million births in Brazil.
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| Title: | Cesarean sections and early-term births according to Robson classification: a population-based study with more than 17 million births in Brazil. |
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| Authors: | Rocha AS; School of Nutrition, Federal University of Bahia (UFBA), Araújo Pinho - No. 32, Canela, Salvador, Bahia, Brazil. linny_rochaa@hotmail.com.; Center for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil. linny_rochaa@hotmail.com., Paixao ES; Center for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.; Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK., Alves FJO; Center for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.; Institute of Collective Health, Federal University of Bahia (ISC/UFBA), Salvador, Brazil., Falcão IR; School of Nutrition, Federal University of Bahia (UFBA), Araújo Pinho - No. 32, Canela, Salvador, Bahia, Brazil.; Center for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil., Silva NJ; Center for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.; Barcelona Institute for Global Health, Hospital Clínic, Barcelona, Spain., Teixeira CSS; Center for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.; Institute of Collective Health, Federal University of Bahia (ISC/UFBA), Salvador, Brazil., Ortelan N; Center for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil., Fiaccone RL; Center for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.; Department of Statistics, Federal University of Bahia (UFBA), Salvador, Brazil., Rodrigues LC; Center for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.; Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK., Ichihara MY; Center for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil., Barreto ML; Center for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.; Institute of Collective Health, Federal University of Bahia (ISC/UFBA), Salvador, Brazil., de Almeida MF; School of Public Health, University of São Paulo (USP), São Paulo, Brazil., de Cássia Ribeiro-Silva R; School of Nutrition, Federal University of Bahia (UFBA), Araújo Pinho - No. 32, Canela, Salvador, Bahia, Brazil.; Center for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.; Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK. |
| Source: | BMC pregnancy and childbirth [BMC Pregnancy Childbirth] 2023 Aug 03; Vol. 23 (1), pp. 562. Date of Electronic Publication: 2023 Aug 03. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100967799 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2393 (Electronic) Linking ISSN: 14712393 NLM ISO Abbreviation: BMC Pregnancy Childbirth Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1471-2393 |
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| DOI: | 10.1186/s12884-023-05807-y |
