Factors Associated with Infant Mortality in Malawi

Kalla II long is one of the direct causes of the high maternal mortality rate inthe world. In dr. M Yunus in 2011 of women giving birth in 1047 of 196 (18.72%) of themothers had prolonged second stage of labor, and in 2012 of 1060 women giving birth as215 (20.28%) mothers had prolonged second stage. The research objective is to determinewhat are the factors associated with the incidence of prolonged second stage of labor inthe CI Space Hospital Midwifery. Dr. M. Yunus Bengkulu city.This study design was adescriptive cross sectional analytic approach. The population is all women giving birth inhospitals M.Yunus Bengkulu in 2012 as many as 1060 people. 290 samples were taken bypurposive sampling. Collecting data using secondary data.The results show most womengiving birth (51.4%) multiparous, most maternal (54.1%) aged less than 20 years andmore than 35 years, almost half of women giving birth (42.8%) fetal weight more than4000 grams, and the maternal part (50%) experienced a prolonged second stage, and therewas a significant association between parity with prolonged second stage, there was asignificant association between maternal age with prolonged second stage, there was asignificant association between fetal weight with time II time.Under these conditions it isexpected that the hospitals Dr.M. Yunus care delivery can minimize the risk of morbidityand maternal and infant mortality by improving the quality and quantity of theproposition, infrastructure and human resources that are reliable and competent.

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Infant Mortality in Rural and Post-Conflict Areas in South Kivu, Eastern DR Congo: A Cross-Sectional Study

10.21203/rs.3.rs-136731/v1 ◽

2021 ◽

Author(s):

Gaylord Ngaboyeka ◽

Espoir Malembaka ◽

Pacifique Lyabayungu ◽

Samuel Lwamushi ◽

Aimé Cikomola ◽

...

Keyword(s):

Mortality Rate ◽

Infant Mortality ◽

Cross Sectional Study ◽

Infant Mortality Rate ◽

Sectional Study ◽

Dr Congo ◽

Cross Sectional ◽

Factors Associated ◽

Post Conflict ◽

South Kivu

Abstract Background: The infant mortality rate in the province of South Kivu remains one of the highest in the Democratic Republic of Congo (DR Congo). The aim of this study is to estimate this mortality by identifying the associated factors in the health zones of Walungu and Miti-Murhesa, rural and post-conflict health zones of South Kivu, eastern DR Congo.Methods: We conducted a cross-sectional study in two post-conflict rural health zones, Miti-Murhesa and Walungu, between July 2016 and September 2017. Our study population consisted of women giving birth from two aforementioned areas during the period of study in which a structured questionnaire assessing the survival of the child resulting from the previous pregnancy was administered. Qualitative variables were described as counts and proportions and quantitative variables as means or medians depending on their distribution. To determine the factors associated with child survival, simple and multivariate logistic regression models were constructed. The materiality threshold was set at 5%. Results: The infant mortality rate is 49.7 ‰ in the two study areas overall and specifically 52.6 ‰ in Miti-Murhesa and 46.56 ‰ in Walungu. The factors associated with this mortality were the age of the mother under 20 years old [adjusted odds ratio ( ORa) = 2.3, 95% CI : 1.1-4.5 ; p = 0.022], household size greater than or equal to 7 people [( ORa = 3.7 ; 95% CI : 1.9-7.3 ; p <0.001 )], prematurity [( ORa = 25.5 ; 95% CI : 9.9-65.4 ; p < 0.001)], home birth [( ORa = 1.9 ; 95% CI : 1.3-2.9 ; p = 0.001)], the inter-reproductive space less than 12 months [( ORa = 5.3 ; ORa : 3.3-8.5 ; P < 0.001 )], not using LLINs [( ORa = 2.2 ; 95% CI : 1.4-3.3 ; P < 0.001 )].Conclusion: Infant mortality in the post-crisis rural area of South Kivu remains high although it is relatively low compared to the national average (58 ‰). However, efforts still need to be made in order to hope to achieve the Sustainable Development Goals.

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Individual- and County-Level Factors Associated with Racial Disparities in Cause-Specific Infant Mortality: Florida 1980–2000

Applied Demography and Public Health ◽

10.1007/978-94-007-6140-7_7 ◽

2013 ◽

pp. 93-115

Author(s):

Jessica C. Bishop-Royse ◽

Isaac W. Eberstein

Keyword(s):

Infant Mortality ◽

Racial Disparities ◽

County Level ◽

Factors Associated

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Understanding State-Level Variations in the US Infant Mortality: 2000 to 2015

American Journal of Perinatology ◽

10.1055/s-0038-1675835 ◽

2018 ◽

Vol 36 (12) ◽

pp. 1271-1277

Author(s):

Alireza Ebrahimvandi ◽

Niyousha Hosseinichimeh ◽

Jay Iams

Keyword(s):

Mortality Rate ◽

Infant Mortality ◽

State Level ◽

Infant Mortality Rate ◽

Cross Sectional ◽

Explanatory Variables ◽

Infant Deaths ◽

Factors Associated ◽

Effect Regression ◽

Causes Of Mortality

Objective To exploit state variations in infant mortality, identify diagnoses that contributed to reduction of the infant mortality rate (IMR), and examine factors associated with preterm-related mortality rate (PMR). Study Design Using linked birth-infant deaths files, we examined patterns in the leading causes of IMR. We compared these rates at both national and state levels to find reduction trends. Creating a cross-sectional time series of states' PMR and some explanatory variables, we implemented a fixed-effect regression model to examine factors associated with PMR at the state level. Results We found substantial state-level variations in changes of the IMR (range = − 2.87–2.08) and PMR (−1.77–0.67). Twenty-one states in which the IMR declined more than the national average of 0.99 (6.89–5.90) were labeled as successful. In the successful states, we found reduction in the PMR accounted for the largest decline in the IMR—0.90 fewer deaths. Changes in the other subgroups of leading causes did not differ significantly in successful and unsuccessful states. Conclusion Trends in the causes of mortality are heterogeneous across states. Although its impact is not large, reducing the percentage of pregnant women with inadequate care is one of the mechanisms through which the PMR decrease.

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