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The negative relationship between birth interval length and neonatal mortality risks is well documented, but heterogeneity in this relationship has been largely ignored. Using the Bangladesh Maternal Mortality and Health Care Survey 2010, this study investigates how the effect of birth interval length on neonatal mortality risks varies by maternal age at birth and maternal education. There is significant variation in the effect of interval length on neonatal mortality along these dimensions. Young mothers and those with little education, both of which make up a large share of the Bangladeshi population, can disproportionately benefit from longer intervals. Because these results were obtained from within-family models, they are not due to unobservable heterogeneity between mothers. Targeting women with these characteristics may lead to significant improvements in neonatal mortality rates, but there are significant challenges in reaching them. [ABSTRACT FROM AUTHOR]

Aims: This study investigates the rural–urban differences in infant mortality rates (IMRs) and the associated risk factors in Nigeria. Methods: The dataset from the 2013 Nigeria demographic and health survey (NDHS), disaggregated by rural–urban residence, was analyzed using complex samples statistics. A multivariable logistic regression analysis was computed to explore the adjusted relationship and identify risk factors for infant mortality. Results: In rural and urban Nigeria, IMRs were 70 and 49 deaths per 1000 live births, respectively. Risk factors in rural residence were past maternal marital union (adjusted odds ratio (AOR): 1.625, p = 0.020), small birth size (AOR: 1.550, p < 0.001), birth interval <24 months (AOR: 2.057, p < 0.001), residence in North-East (AOR: 1.346, p = 0.038) and North-West (AOR: 1.653, p < 0.001) regions, and cesarean delivery (AOR: 2.922, p = 0.001). Risk factors in urban residence were poor wealth index (AOR: 2.292, p < 0.001), small birth size (AOR: 2.276, p < 0.001), male gender (AOR: 1.416, p = 0.022), birth interval <24 months (AOR: 1.605, p = 0.002), maternal obesity (AOR: 1.641, p = 0.008), and cesarean delivery (AOR: 1.947, p = 0.032). Conclusions: Infants in rural residence had higher rates of mortality than their urban counterparts and disparities in risk factors exist between the residences. [ABSTRACT FROM AUTHOR]

Background Significant reduction in the global burden of neonatal mortality was achieved through the millennium development goals. In Nigeria, however, only a marginal reduction was realized. This study assesses the rural-urban differences in neonatal mortality rate ( NMR) and the associated risk factors in Nigeria. Methods The dataset from the 2013 Nigeria demographic and health survey ( NDHS), disaggregated by rural-urban residence (n = 20 449 and 9935, respectively), was explored using univariate, bivariate, and multivariable analysis. Complex samples analysis was applied to adjust for the unequal selection probabilities due to the multi-stage cluster sampling method used in the 2013 NDHS. The adjusted relationship between the outcome and predictor variables was assessed on multi-level logistic regression analysis. Results NMR for rural and urban populations was 36 and 28 deaths per 1000 live births, respectively. Risk factors in urban residence were lack of electricity access (adjusted OR [ AOR], 1.555; 95% CI: 1.089-2.220), small birth size (as a proxy for low birthweight; AOR, 3.048; 95% CI: 2.047-4.537), and male gender ( AOR, 1.666; 95% CI: 1.215-2.284). Risk factors in rural residence were small birth size (a proxy for low birthweight; AOR, 2.118; 95% CI: 1.600-2.804), and birth interval <2 years ( AOR, 2.149; 95% CI: 1.760-2.624). Cesarean delivery was a risk factor both in rural ( AOR, 5.038; 95% CI: 2.617-9.700) and urban Nigeria ( AOR, 2.632; 95% CI: 1.543-4.489). Conclusions Determinants of neonatal mortality were different in rural and urban Nigeria, and rural neonates had greater risk of mortality than their urban counterparts. [ABSTRACT FROM AUTHOR]

Background: weight of the baby at birth is considered to be a major determinant of future health and survival of the child. It is one of the important factors which determine the readiness with which the newborn baby adjusts to its surrounding. Many maternal socio-biological factors influence birth weight. Objective: To determine maternal socio-biological factors influencing birth weight of newborn. Methodology: Hospital based cross- sectional study undertaken in Obstetrics and Gynaecology ward of Nehru hospital, Gorakhpur. The study period extended from July 2011 to August 2012. The study subject included recently delivered mothers and data was collected on semi-structured interview schedule to know various socio-biological variables such as mother's age, parity, inter-pregnancy interval etc, influencing the low birth weight of newborn. Chi-Square test was applied to observe the significance of association. Results: The overall proportion of low birth weight baby came out to be 32.06%. Out of various socio-biological factors taken the factors which came out to be statistically significant were age of mother, parity, inter-pregnancy interval, SLI, education. The factors which were not statistically significant were father's education, religion. Conclusions: It was concluded that teenage pregnancy, non-utilization of antenatal care practices, anaemia, illiteracy are unfavorable predictors of birth weight of newborn babies. [ABSTRACT FROM AUTHOR]

There is well-documented evidence on how interpregnancy interval (IPI) is associated with adverse perinatal outcomes and how short and long IPIs are associated with increased risk for preterm birth, low birth weight, and intra-uterine growth restriction. However, the extremes of IPI on infant mortality are less well documented. The current study builds on the existing evidence on IPI to examine if extremes of IPI are associated with infant mortality, and also examines if IPI is associated with both neonatal and post-neonatal mortality after adjusting for several known confounders. Matched birth and death certificate data for Arizona resident infants was drawn for 2003-2007 cohorts. The analysis was restricted to singleton births among resident mothers with a previous live birth (n = 1,466) and a randomly selected cohort of surviving infants during the same time-frame was used as a comparison group (n = 2,000). Logistic regression models were utilized to assess the odds for infant mortality at monthly interpregnancy intervals (<6, 6-11, 12-17, 18-23, 24-59, ≥60), while adjusting for established predictors of infant mortality (i.e., preterm birth, low birth weight, and small for gestational age), and other potential confounders. Unadjusted analysis showed greater clustering at extreme IPIs of <6 months and ≥60 months for infants that died (32 %) compared to infants that survived (24.7 %). Shorter IPI (i.e., <6 months, 6-11 months, and 12-17 months) compared to 'ideal' IPI (i.e., 18-23 months), were associated with infant mortality even after adjusting for confounders. Short intervals were significantly associated with neonatal, but not post-neonatal deaths. IPI above 23 months were not associated with infant mortality in our analyses. Shorter IPIs (18 months or less) significantly increases the risk for neonatal infant mortality even after controlling for known confounders, and our study adds to the existing evidence on adverse perinatal outcomes. Counseling women of reproductive age on the benefits of spacing pregnancies to at least 18 months addresses one preventable risk for early infant mortality. [ABSTRACT FROM AUTHOR]