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Predicting low birth weight risks in pregnant women in Brazil using machine learning algorithms: data from the Araraquara cohort study.

• Authors : Victor A; School of Public Health, University of São Paulo (USP), Faculdade de Saúde Pública- USP Avenida Doutor Arnaldo, 715 - São Paulo, São Paulo, 01246904, Brazil. .; Department of Nutrition, Ministry of Health of Mozambique, Maputo, Mozambique. .

Subjects: Machine Learning* ; Infant, Low Birth Weight*; Humans

• Source: BMC pregnancy and childbirth [BMC Pregnancy Childbirth] 2025 Mar 19; Vol. 25 (1), pp. 320. Date of Electronic Publication: 2025 Mar 19.Publisher: BioMed Central Country of Publication: England NLM ID: 100967799 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2393

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COVID-19 Pandemic Impact on the Birth Weight of Children Born in a Brazilian Metropolis.

• Authors : Armani BC; Nutrition Department, Nursing School, Federal University of Minas Gerais, Belo Horizonte, MG 30130-100, Brazil.; Souza RCVE

Subjects: COVID-19*/COVID-19*/COVID-19*/epidemiology ; Birth Weight* ; Infant, Low Birth Weight*

• Source: International journal of environmental research and public health [Int J Environ Res Public Health] 2024 Dec 20; Vol. 21 (12). Date of Electronic Publication: 2024 Dec 20.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601

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Comparison of mortality and survival without major morbidities of very preterm infants with very low birth weight from Japan and Brazil.

• Authors : Kaori Tomo, Caroline^1,2 ; Omobolanle Balogun, Olukunmi²; Davidson, Josy³

• Source: Revista Paulista de Pediatria. 2023, Vol. 41, p1-9. 9p.

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Inequalities in birth weight and maternal education: a time-series study from 1996 to 2013 in Brazil.

• Authors : Silvestrin, Sonia¹; Hirakata, Vânia Naomi²; da Silva, Clécio Homrich^2,3

• Source: Scientific Reports. 5/26/2020, Vol. 10 Issue 1, p1-8. 8p.

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Fathers' experiences using the kangaroo position with low-birth-weight infants.

• Authors : Lopes, Luisamara Leal¹; Vaccari, Alessandra²; Araújo Rodrigues, Fernanda³

• Source: Revista de Enfermagem Referência. 2020, Issue 3, p1-6. 6p.

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Low birth weight: study of associated factors in a tertiary hospital in the Greater Vitória Area, ES, Brazil.

• Authors : Cosme Nascimento, Rosiane¹ ; Rodrigues Barbosa, Míriam Carmo²; Mara Corrêa, Márcia³

• Source: Demetra: Food, Nutrition & Health / Alimentação, Nutrição & Saúde. 2019, Vol. 14, p1-18. 10p.

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The relationship between the different low birth weight strata of newborns with infant mortality and the influence of the main health determinants in the extreme south of Brazil.

• Authors : Vilanova CS; Postgraduate Program in Child and Adolescent Health, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.; Hirakata VN

Subjects: Birth Weight* ; Cesarean Section*/Cesarean Section*/Cesarean Section*/statistics & numerical data ; Gestational Age*

• Source: Population health metrics [Popul Health Metr] 2019 Nov 27; Vol. 17 (1), pp. 15. Date of Electronic Publication: 2019 Nov 27.Publisher: BioMed Central Country of Publication: England NLM ID: 101178411 Publication Model: Electronic Cited Medium: Internet ISSN: 1478-7954

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Effect of Vitamin A status during pregnancy on maternal anemia and newborn birth weight: results from a cohort study in the Western Brazilian Amazon.

• Authors : Neves, Paulo A. R.¹; Castro, Marcia C.²; Oliveira, Clariana V. R.²

• Source: European Journal of Nutrition. Feb2020, Vol. 59 Issue 1, p45-56. 12p. 1 Diagram, 4 Charts.

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Associations between Maternal Dietary Patterns and Infant Birth Weight in the NISAMI Cohort: A Structural Equation Modeling Analysis.

• Authors : da Mota Santana J; Center of Health Sciences, Universidade Federal do Recôncavo da Bahia, Santo Antônio de Jesus, Avenida Carlos Amaral, R. do Cajueiro, 1015, Bahia 44574-490, Brazil.; de Oliveira Queiroz VA

Subjects: Birth Weight* ; Diet* ; Feeding Behavior*

• Source: Nutrients [Nutrients] 2021 Nov 12; Vol. 13 (11). Date of Electronic Publication: 2021 Nov 12.Publisher: MDPI Publishing Country of Publication: Switzerland NLM ID: 101521595 Publication Model: Electronic Cited Medium: Internet ISSN:

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Premature Newborns with the Potential to Develop Special Health Needs: An Approach by Triangulation of Methods.

• Authors : Munhak da Silva, Rosane Meire¹ ; de Melo Casacio, Gabriela Dominicci² ; Zilly, Adriana¹

• Source: Aquichan. abr-jun2024, Vol. 24 Issue 2, p1-20. 20p.

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