Risk Factors For Stillbirth And Neonatal Mortality Among Kenyan Women In Mobile Wach NEO, A Pilot Two-Way SMS Communication Program.

Abstract Background Ghana did not meet the Millennium Development Goal 4 of reducing child mortality by two-thirds and may not meet SDG (2030). There is a need to direct scarce resources to mitigate the impact of the most important risk factors influencing high neonatal deaths. This study applied both spatial and non-spatial regression models to explore the differential impact of environmental, maternal, and child associated risk factors on neonatal deaths in Ghana. Methods The study relied on data from the Ghana Demographic and Health Surveys (GDHS) and the Ghana Maternal Health Survey (GMHS) conducted between 1998 and 2017 among 49,908 women of reproductive age and 31,367 children under five (GDHS-1998 = 3298, GDHS-2003 = 3844, GDHS-2008 = 2992, GDHS-2014 = 5884, GMHS-2017 = 15,349). Spatial Autoregressive Models that account for spatial autocorrelation in the data at the cluster-level and non-spatial statistical models with appropriate sampling weight adjustment were used to study factors associated with neonatal deaths, and a p-value less than 0.05 was considered statistically significant. Results Population density, multiple births, smaller household sizes, high parity, and low birth weight significantly increased the risk of neonatal deaths over the years. Among mothers who had multiple births, the risk of having neonatal deaths was approximately four times as high as the risk of neonatal deaths among mothers who had only single birth [aRR = 3.42, 95% CI: 1.63–7.17, p < 0.05]. Neonates who were perceived by their mothers to be small were at a higher risk of neonatal death compared to very large neonates [aRR = 2.08, 95% CI: 1.19–3.63, p < 0.05]. A unit increase in the number of children born to a woman of reproductive age was associated with a 49% increased risk in neonatal deaths [aRR = 1.49, 95% CI: 1.30–1.69, p < 0.05]. Conclusion Neonatal mortality in Ghana remains relatively high, and the factors that predisposed children to neonatal death were birth size that were perceived to be small, low birth weight, higher parity, and multiple births. Improving pregnant women’s nutritional patterns and providing special support to women who have multiple deliveries will reduce neonatal mortality in Ghana.

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Classification of Neonatal Mortality Risk Factors

Indian Journal of Public Health Research & Development ◽

10.37506/ijphrd.v11i6.10012 ◽

2020 ◽

Keyword(s):

Risk Factors ◽

Neonatal Mortality ◽

Mortality Risk

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Early neonatal mortality and risk factors: a case-control study in Paraná State

Revista Brasileira de Enfermagem ◽

10.1590/0034-7167-2016-0586 ◽

2018 ◽

Vol 71 (5) ◽

pp. 2527-2534 ◽

Cited By ~ 6

Author(s):

Michelle Thais Migoto ◽

Rafael Pallisser de Oliveira ◽

Ana Maria Rigo Silva ◽

Márcia Helena de Souza Freire

Keyword(s):

Risk Factors ◽

Neonatal Mortality ◽

Neonatal Death ◽

Secondary Data ◽

Case Control ◽

Management Tool ◽

Early Neonatal Death ◽

Maternal Risk ◽

Early Neonatal Mortality ◽

Technological Management

ABSTRACT Objective: to analyze the Early Neonatal Mortality risk factors according to the risk stratification criteria of the Guideline of the Rede Mãe Paranaense Program. Method: a case-control epidemiological study with secondary data from the Mortality and Live Birth Information System in 2014. The crude analysis was performed by the Odds Ratio association measure, followed by the adjusted analysis, considering risk factors as independent variables, and early neonatal death as dependent variable. Results: were considered as maternal risk factors: absence of partner and miscarriages; neonatal: male, low birth weight, prematurity, Apgar less than seven in the fifth minute, presence of congenital anomaly; and care: up to six prenatal appointments. Conclusion: an innovative study of risk factors for early neonatal death from the Guideline's perspective, a technological management tool for maternal and child health, in search of its qualification and greater sensitivity.

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Infant mortality: comparison between two birth cohorts from Southeast and Northeast, Brazil

Revista de Saúde Pública ◽

10.1590/s0034-89102004000600004 ◽

2004 ◽

Vol 38 (6) ◽

pp. 773-779 ◽

Cited By ~ 7

Author(s):

Valdinar S Ribeiro ◽

Antônio A M Silva ◽

Marco A Barbieri ◽

Heloisa Bettiol ◽

Vânia M F Aragão ◽

...

Keyword(s):

Risk Factors ◽

Mortality Rate ◽

Infant Mortality ◽

Neonatal Mortality ◽

Protective Factor ◽

Infant Mortality Rate ◽

Northeast Brazil ◽

Birth Cohorts ◽

Neonatal Mortality Rate ◽

Live Births

OBJECTIVE: To obtain population estimates and profile risk factors for infant mortality in two birth cohorts and compare them among cities of different regions in Brazil. METHODS: In Ribeirão Preto, southeast Brazil, infant mortality was determined in a third of hospital live births (2,846 singleton deliveries) in 1994. In São Luís, northeast Brazil, data were obtained using systematic sampling of births stratified by maternity unit (2,443 singleton deliveries) in 1997-1998. Mothers answered standardized questionnaires shortly after delivery and information on infant deaths was retrieved from hospitals, registries and the States Health Secretarys' Office. The relative risk (RR) was estimated by Poisson regression. RESULTS: In São Luís, the infant mortality rate was 26.6/1,000 live births, the neonatal mortality rate was 18.4/1,000 and the post-neonatal mortality rate was 8.2/1,000, all higher than those observed in Ribeirão Preto (16.9, 10.9 and 6.0 per 1,000, respectively). Adjusted analysis revealed that previous stillbirths (RR=3.67 vs 4.13) and maternal age <18 years (RR=2.62 vs 2.59) were risk factors for infant mortality in the two cities. Inadequate prenatal care (RR=2.00) and male sex (RR=1.79) were risk factors in São Luís only, and a dwelling with 5 or more residents was a protective factor (RR=0.53). In Ribeirão Preto, maternal smoking was associated with infant mortality (RR=2.64). CONCLUSIONS: In addition to socioeconomic inequalities, differences in access to and quality of medical care between cities had an impact on infant mortality rates.

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Low and very low birth weight in puppies: definitions, risk factors and survival in a large-scale population

BMC Veterinary Research ◽

10.1186/s12917-020-02577-z ◽

2020 ◽

Vol 16 (1) ◽

Author(s):

Amélie Mugnier ◽

Sylvie Chastant-Maillard ◽

Hanna Mila ◽

Faouzi Lyazrhi ◽

Florine Guiraud ◽

...

Keyword(s):

Risk Factors ◽

Birth Weight ◽

Low Birth Weight ◽

Neonatal Mortality ◽

Litter Size ◽

Large Scale ◽

Very Low Birth Weight ◽

Regression Tree ◽

Classification And Regression Tree ◽

Operating Characteristics

Abstract Background Neonatal mortality (over the first three weeks of life) is a major concern in canine breeding facilities as an economic and welfare issue. Since low birth weight (LBW) dramatically increases the risk of neonatal death, the risk factors of occurrence need to be identified together with the chances and determinants of survival of newborns at-risk. Results Data from 4971 puppies from 10 breeds were analysed. Two birth weight thresholds regarding the risk of neonatal mortality were identified by breed, using respectively Receiver Operating Characteristics and Classification and Regression Tree method. Puppies were qualified as LBW and very low birth weight (VLBW) when their birth weight value was respectively between the two thresholds and lower than the two thresholds. Mortality rates were 4.2, 8.8 and 55.3%, in the normal, LBW and VLBW groups, accounting for 48.7, 47.9 and 3.4% of the included puppies, respectively. A separate binary logistic regression approach allowed to identify breed, gender and litter size as determinants of LBW. The increase in litter size and being a female were associated with a higher risk for LBW. Survival for LBW puppies was reduced in litters with at least one stillborn, compared to litters with no stillborn, and was also reduced when the dam was more than 6 years old. Concerning VLBW puppies, occurrence and survival were influenced by litter size. Surprisingly, the decrease in litter size was a risk factor for VLBW and also reduced their survival. The results of this study suggest that VLBW and LBW puppies are two distinct populations. Moreover, it indicates that events and factors affecting intrauterine growth (leading to birth weight reduction) also affect their ability to adapt to extrauterine life. Conclusion These findings could help veterinarians and breeders to improve the management of their facility and more specifically of LBW puppies. Possible recommendations would be to only select for reproduction dams of optimal age and to pay particular attention to LBW puppies born in small litters. Further studies are required to understand the origin of LBW in dogs.

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