Risk factors for neonatal death in the capital city with the lowest infant mortality rate in Brazil

Garcia, Leandro Pereira; Fernandes, Camila Mariano; Traebert, Jefferson

doi:10.1016/j.jpedp.2018.03.004

Cited by 21 publications

(21 citation statements)

References 19 publications

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“…The infants whose families were low-income had 1.25 units higher logodd of experiencing death. This is in line with a study conducted by Garcia et al, (2019) on income that family income statistically did not affect infant mortality but rather on biological factors such as low birth weight, disease burden, and preterm birth. According to a study conducted by Kumar et al, (2020), there were more babies born to families with low/poor economic status than babies with high economic status.…”

Section: The Effect Of Family Income On Infants Mortalitysupporting

confidence: 91%

Path Analysis on the Effect of Healthy Behavior and other Determinants on Infant Mortality: Evidence from Karanganyar District, Central Java

Palupi,

Salimo,

Murti

2020

J MATERN CHILD HEALTH

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Background: One indicator of a country's progress is the infant mortality rate. Infant mortality is affected by many factors, both exogenous and endogenous. This study aimed to determine the factors causing significant infant mortality to reduce infant mortality in Karanganyar Regency. Subjects and Method: This study was an observational study with a cross-sectional design. This study was conducted in Karanganyar, Central Java, from February to May 2020. A sample was 200 infants aged 1-11 months were selected by fixed disease sampling. The variables observed for the effect were infant mortality, clean and healthy life behavior, exclusive breastfeeding, parental income, maternal education, infant nutritional intake, immunization status, birth weight of infants, illness history of infants, health services, and house sanitation. The data were collected by questionnaire and analyzed using path analysis with Stata 13. Results: The risk of infant mortality increased by the cleanliness of the home environment (b=3.84; 95%CI=1.76 to 5.92; p<0.001), infant nutrition intake (b=4.07; 95 CI=2.25 to 5.89; p<0.001), illness history of infants (b=3.03; 95% CI= 1.34 to 4.72; p<0.001). The risk of infant mortality decreased by clean and healthy life behavior (b= -5.34; 95%CI=-7.75 to -2.94; p <0.001). Infant mortality was affected indirectly by exclusive breastfeeding, parental income, maternal education, birth weight of infants, immunization status, and health care facilities. Conclusion:Infant mortality is directly affected by the cleanliness of the home environment, clean and healthy life behavior, nutritional intake of infants, and illness history of infants. Infant mortality is indirectly affected by exclusive breastfeeding, parental income, maternal education, birth weight of infants, immunization status, and health care facilities.

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Section: The Effect Of Family Income On Infants Mortalitysupporting

confidence: 91%

Path Analysis on the Effect of Healthy Behavior and other Determinants on Infant Mortality: Evidence from Karanganyar District, Central Java

Palupi,

Salimo,

Murti

2020

J MATERN CHILD HEALTH

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“…Afirma-se que o grau de escolaridade materna é diretamente proporcional ao grau de conhecimento sobre o cuidado que poderia vir a reduzir o risco de acidentes. Além disso, o baixo nível de conhecimento pode inibir a procura por atendimento médico [24][25][26] . A maior parte das mulheres possuía outros filhos e não tinha histórico de óbito infantil.…”

Section: Discussionunclassified

[Id 57395] Internações E Mortes Por Causas Externas Entre Os Menores De Um Ano, Recife, Pernambuco

Oliveira¹,

Silva²,

Silva³

et al. 2021

RBCS

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Objetivo: Descrever as características clínicas e epidemiológicas dos óbitos infantis por causas externas de residentes no Recife, Pernambuco, no período de 2010 a 2016. Metodologia: Estudo transversal, descritivo, com abordagem quantitativa. A população do estudo foi constituída por 83 óbitos infantis por causa externa de residentes no Recife. Utilizou-se o programa R versão 3.6.3 para análise descritiva dos dados. Além disso, utilizou-se o teste de x² para testar se os dados categóricos associados a uma variável se comportam de modo homogêneo. Resultados: No período de estudo foram registrados 83 óbitos infantis por causa externa em residentes na Cidade do Recife - PE. Os óbitos apresentaram maiores proporções em indivíduos do sexo masculino (n = 44; 53,0%), da raça/cor preta (n = 54; 65,1%) no período pós-neonatal (n = 65; 78,3%). A maior parte dos óbitos foi em decorrência de acidentes envolvendo a respiração, cuja principal causa básica foi inalação do conteúdo gástrico (n = 47; 56,6%). Conclusão: A análise descritiva das características dos óbitos infantis por causa externa possibilita que ações de políticas públicas e efetivas sejam planejadas segundo a multiplicidade de fatores que determinam o risco de morte por causa externa entre os menores de um ano.

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“…[16][17][18] Analysis of the factors associated with neonatal and postneonatal mortality showed that the inadequate number of prenatal care visits was statistically significant for both these components of infant mortality. 1,20 Quality prenatal care, with an adequate number of consultations, laboratory tests and paying due attention to intercurrences, reduces risk of complications during pregnancy and childbirth. 20 A study which assessed a population with characteristics similar to those of Goiânia found that neonatal mortality can be reduced by up to 34% by implementing quality prenatal monitoring.…”

Section: Discussionmentioning

confidence: 99%

“…Monitoring infant mortality serves to inform Public Health policies aimed at the well-being of women and children. 1,2 Globally, the infant mortality rate (IMR) fell from 63 to 35 deaths per 1,000 live births between 1990 and 2012.…”

Section: Introductionmentioning

confidence: 99%

Magnitude e determinantes da mortalidade neonatal e pós-neonatal em Goiânia, Goiás: um estudo de coorte retrospectivo, 2012

Saloio

Neto

Gonçalves

et al. 2020

Epidemiol. Serv. Saúde

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Resumo Objetivo: Estimar a magnitude e determinantes da mortalidade infantil neonatal e pós-neonatal em Goiânia, Brasil, em 2012. Métodos: Estudo de coorte retrospectiva, utilizando relacionamento entre o Sistema de Informações sobre Nascidos Vivos e o Sistema de Informações sobre Mortalidade. Aplicou-se regressão logística para avaliar os fatores associados ao óbito neonatal e pós-neonatal. Resultados: A mortalidade neonatal (0-27 dias de vida) foi de 9,4; e a pós-neonatal (28-364 dias de vida), de 3,0 óbitos/1 mil nascidos vivos. Os fatores associados à mortalidade neonatal foram: 0-3 consultas de pré-natal (OR=13,10 – IC95% 7,48;22,96); gestações de 19-34 semanas (OR=6,25 – IC95% 2,26;17,29); peso ao nascer <1.500g (OR=62,42 – IC95%22,72;171,48); e parto cesáreo (OR=0,54 – IC95% 0,37;0,79). Associaram-se à mortalidade no período pós-neonatal: 0-3 consultas de pré-natal (OR=4,16 – IC95% 1,51;11,43); e peso ao nascer <1.500g (OR=18,74 – IC95% 4,04;87,00). Conclusão: Baixo número de consultas, prematuridade e baixo peso foram os principais fatores de risco da mortalidade neonatal e pós-neonatal.

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Risk factors for neonatal death in the capital city with the lowest infant mortality rate in Brazil

Cited by 21 publications

References 19 publications

Path Analysis on the Effect of Healthy Behavior and other Determinants on Infant Mortality: Evidence from Karanganyar District, Central Java

Path Analysis on the Effect of Healthy Behavior and other Determinants on Infant Mortality: Evidence from Karanganyar District, Central Java

[Id 57395] Internações E Mortes Por Causas Externas Entre Os Menores De Um Ano, Recife, Pernambuco

Magnitude e determinantes da mortalidade neonatal e pós-neonatal em Goiânia, Goiás: um estudo de coorte retrospectivo, 2012

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