Perfil de mães e o desfecho do nascimento prematuro ou termo

The birth or delivery under 37 weeks of pregnancy is considered a global public health problem, since it is seen as one of the main risk factors for neonatal morbidity and mortality, particularly in the first week of life. This study had the objective of analyzing the profile of mothers of premature and full-term babies for the outcome of birth. This is an analytical-descriptive and cross-sectional study, with a sample of 109 mothers of all the premature babies and 135 mothers of the randomly selected full-term babies, by drawing, occurred in the period from April to September 2015, in a public maternity. Data were organized on Microsoft Excel 2013; subsequently, there was the analysis of the analytical-descriptive statistics, through Statistica 10, through which the frequencies, proportions, p values, with 5% significance level, through the Chi-square test, were identified. The project was submitted to the Research Ethics Committee of the Federal University of Rio Grande do Norte, receiving a favorable opinion (nº 1047431/2015). This study has enabled us to identify that the socioeconomic profile of mothers of premature and full-term babies showed, in both, low schooling level and low income. In addition, our data point out in the two groups, before and during pregnancy, a high prevalence of sedentariness; statistical significance for overweight and obesity before and during pregnancy, with 42,22% prevalence before pregnancy of mothers of premature babies and 48,62% of mothers of full-term babies; with high blood pressure during pregnancy in 32,11% of mothers of premature babies and 17,04% of mothers of full-term babies. Moreover, pregnancy was only planned in 33,33%, and also unwanted by 21,1% of mothers of premature babies, while 40,37% of mothers of full-term babies planned pregnancy and 17,78% had unwanted pregnancy. With respect to the aggravating factor “illicit drugs”, there was consumption during pregnancy on the part of 8,26% of mothers of premature babies. The most frequent complications were: vaginal bleeding (in 43,12% of mothers of premature babies and 20% of mothers of full-term babies); urinary infection (in 44,95% of mothers of premature babies and 40% of mothers of full-term babies); and stressful pregnancy (in 62,96% of mothers of premature babies and 47,41% of mothers of full-term babies). Accordingly, babies were born with health problems in 58,10% of premature births and there was healthy birth in 96,30% of full-term babies. Therefore, the profile of mothers with obesity and overweight, unwanted pregnancy, user of illegal drugs during pregnancy, stressful pregnancy and vaginal bleeding may be associated with the birth of premature baby as unfavorable and hazardous event for the child’s health.

Perfil de mães e o desfecho do nascimento prematuro ou termo

The birth or delivery under 37 weeks of pregnancy is considered a global public health problem, since it is seen as one of the main risk factors for neonatal morbidity and mortality, particularly in the first week of life. This study had the objective of analyzing the profile of mothers of premature and full-term babies for the outcome of birth. This is an analytical-descriptive and cross-sectional study, with a sample of 109 mothers of all the premature babies and 135 mothers of the randomly selected full-term babies, by drawing, occurred in the period from April to September 2015, in a public maternity. Data were organized on Microsoft Excel 2013; subsequently, there was the analysis of the analytical-descriptive statistics, through Statistica 10, through which the frequencies, proportions, p values, with 5% significance level, through the Chi-square test, were identified. The project was submitted to the Research Ethics Committee of the Federal University of Rio Grande do Norte, receiving a favorable opinion (nº 1047431/2015). This study has enabled us to identify that the socioeconomic profile of mothers of premature and full-term babies showed, in both, low schooling level and low income. In addition, our data point out in the two groups, before and during pregnancy, a high prevalence of sedentariness; statistical significance for overweight and obesity before and during pregnancy, with 42,22% prevalence before pregnancy of mothers of premature babies and 48,62% of mothers of full-term babies; with high blood pressure during pregnancy in 32,11% of mothers of premature babies and 17,04% of mothers of full-term babies. Moreover, pregnancy was only planned in 33,33%, and also unwanted by 21,1% of mothers of premature babies, while 40,37% of mothers of full-term babies planned pregnancy and 17,78% had unwanted pregnancy. With respect to the aggravating factor “illicit drugs”, there was consumption during pregnancy on the part of 8,26% of mothers of premature babies. The most frequent complications were: vaginal bleeding (in 43,12% of mothers of premature babies and 20% of mothers of full-term babies); urinary infection (in 44,95% of mothers of premature babies and 40% of mothers of full-term babies); and stressful pregnancy (in 62,96% of mothers of premature babies and 47,41% of mothers of full-term babies). Accordingly, babies were born with health problems in 58,10% of premature births and there was healthy birth in 96,30% of full-term babies. Therefore, the profile of mothers with obesity and overweight, unwanted pregnancy, user of illegal drugs during pregnancy, stressful pregnancy and vaginal bleeding may be associated with the birth of premature baby as unfavorable and hazardous event for the child’s health.

Estimação e previsão no processo INARCH(2)

In the last decades the study of integer-valued time series has gained notoriety due to its broad applicability (modeling the number of car accidents in a given highway, or the number of people infected by a virus are two examples). One of the main interests of this area of study is to make forecasts, and for this reason it is very important to propose methods to make such forecasts, which consist of nonnegative integer values, due to the discrete nature of the data. In this work, we focus on the study and proposal of forecasts one, two and h steps ahead for integer-valued second-order autoregressive conditional heteroskedasticity processes [INARCH (2)], and in determining some theoretical properties of this model, such as the ordinary moments of its marginal distribution and the asymptotic distribution of its conditional least squares estimators. In addition, we study, via Monte Carlo simulation, the behavior of the estimators for the parameters of INARCH(2) processes obtained using three di erent methods (Yule- Walker, conditional least squares, and conditional maximum likelihood), in terms of mean squared error, mean absolute error and bias. We present some forecast proposals for INARCH(2) processes, which are compared again via Monte Carlo simulation. As an application of this proposed theory, we model a dataset related to the number of live male births of mothers living at Riachuelo city, in the state of Rio Grande do Norte, Brazil.

Estimação e previsão no processo INARCH(2)

In the last decades the study of integer-valued time series has gained notoriety due to its broad applicability (modeling the number of car accidents in a given highway, or the number of people infected by a virus are two examples). One of the main interests of this area of study is to make forecasts, and for this reason it is very important to propose methods to make such forecasts, which consist of nonnegative integer values, due to the discrete nature of the data. In this work, we focus on the study and proposal of forecasts one, two and h steps ahead for integer-valued second-order autoregressive conditional heteroskedasticity processes [INARCH (2)], and in determining some theoretical properties of this model, such as the ordinary moments of its marginal distribution and the asymptotic distribution of its conditional least squares estimators. In addition, we study, via Monte Carlo simulation, the behavior of the estimators for the parameters of INARCH(2) processes obtained using three di erent methods (Yule- Walker, conditional least squares, and conditional maximum likelihood), in terms of mean squared error, mean absolute error and bias. We present some forecast proposals for INARCH(2) processes, which are compared again via Monte Carlo simulation. As an application of this proposed theory, we model a dataset related to the number of live male births of mothers living at Riachuelo city, in the state of Rio Grande do Norte, Brazil.

The effectiveness of community-based interventions to improve maternal and infant health in the Northeast of Brazil

EMOND, Alan et al. The effectiveness of community-based interventions to improve maternal and infant health in the Northeast of Brazil. Revista Panamericana de Salud Pública/ Pan American Journal of Public Health , v.12, n.2, p.101-110, 2002

Project Pró-Natal: population-based study of perinatal and infant mortality in Natal, Northeast Brazil

RAMOS, Ana Maria de Oliveira et al. Project Pró-Natal: population-based study of perinatal and infant mortality in Natal, Northeast Brazil. Pediatric and Developmental Pathology, v.3, n.1, p.29-35, 2000

Reproductive Patterns and Birth Seasonality in a South-American Breeding Colony of Common Marmosets, Callithrix jacchus

SOUSA,M.B.C. et al. Reproductive Patterns and Birth Seasonality in a South-American Breeding Colony of Common Marmosets, Callithrix jacchus. Primates, v.40, n.2, p. 327-336, Apr. 1999.

Prevalence of orofacial clefts and social factors in Brazil

RODRIGUES, Katamara et al. Prevalence of orofacial clefts and social factors in Brazil. Brazilian oral research, v.23, n. 1, p. 38-42, 2009.Disponivel em: . Acesso em: 04 out. 2010.