902 resultados para Birth Cohorts
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BACKGROUND: Parity is a risk factor in neonatal morbidity and mortality. This dissertation examined the association between first births and selected birth defects. The first aim was to assess the risk of 66 birth defects among first births and third or greater births. The second aim was to determine if maternal race, maternal age, infant sex or infant birth weight modify the association between first births and selected birth defects. METHODS: The Texas Birth Defects Registry provided data for 1999-2009. For the first aim, odds ratios were calculated for each birth defect. For the second aim, analysis was restricted to the ten birth defects significantly associated with first births. Stratified analyses were conducted and interaction terms were added to logistic regression models to assess whether differences in the odds ratios for the effect of first birth were statistically significant across strata. RESULTS: Findings for the first aim showed that first births had significantly increased odds of having an infant with 24 of the 66 birth defects. Third or greater births had significantly increased odds of having four of the 66 birth defects. For the second aim, a number of significant effect modifiers were observed. For patent ductus arteriosis, obstructive urinary defects and gastroschisis, the effect of first births was significantly modified by black or U.S.-born Hispanic mothers. The effect of first birth was also significantly modified among mothers ≥30 years for mitral valve insufficiency, atrial septal defect and congenital hip dislocation. The effect of first births was significantly modified among infants with low birth weight for hypospadias, congenital hip dislocation and gastroschisis. CONCLUSIONS: First births were associated with an elevated risk of 24 categories of birth defects. For some of the birth defects studied, the effect of first birth is modified by maternal age, maternal race and low birth weight. Knowledge of the increased risk for birth defects among women having their first birth allows physicians and midwives to provide better patient care and spur further research into the etiology of associated birth defects. This knowledge may bring about interventions prior to conception in populations most likely to conceive.^
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It is well known that an identification problem exists in the analysis of age-period-cohort data because of the relationship among the three factors (date of birth + age at death = date of death). There are numerous suggestions about how to analyze the data. No one solution has been satisfactory. The purpose of this study is to provide another analytic method by extending the Cox's lifetable regression model with time-dependent covariates. The new approach contains the following features: (1) It is based on the conditional maximum likelihood procedure using a proportional hazard function described by Cox (1972), treating the age factor as the underlying hazard to estimate the parameters for the cohort and period factors. (2) The model is flexible so that both the cohort and period factors can be treated as dummy or continuous variables, and the parameter estimations can be obtained for numerous combinations of variables as in a regression analysis. (3) The model is applicable even when the time period is unequally spaced.^ Two specific models are considered to illustrate the new approach and applied to the U.S. prostate cancer data. We find that there are significant differences between all cohorts and there is a significant period effect for both whites and nonwhites. The underlying hazard increases exponentially with age indicating that old people have much higher risk than young people. A log transformation of relative risk shows that the prostate cancer risk declined in recent cohorts for both models. However, prostate cancer risk declined 5 cohorts (25 years) earlier for whites than for nonwhites under the period factor model (0 0 0 1 1 1 1). These latter results are similar to the previous study by Holford (1983).^ The new approach offers a general method to analyze the age-period-cohort data without using any arbitrary constraint in the model. ^
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The purpose of this observational study was investigation of the relationship between quantitative adequacy of prenatal care, specific prenatal care content and pregnancy outcome in a high risk Missouri population. A sample of 1484 women from three Missouri regions known to have high rates of low birth weight, infant mortality, and inadequate prenatal care rates participated in structured post-partum interviews. Approximately one-half of the sample had received adequate prenatal care and the other half inadequate prenatal care as determined by an index utilized by the Missouri Department of Health.^ Prenatal care content was assessed by reports of prenatal education in six different areas: Diet, smoking, alcohol, drug, preterm labor counseling, and advice on when to call the health provider if preterm labor was suspected by the woman. Low birth weight, in both term and preterm infants, were the two birth outcomes examined. A variety of maternal socio-demographic variables were also considered.^ The results of this study suggest that specific educational content, delivered during prenatal care, may have lessen the risk of giving birth to a preterm-low birth weight infant. Prenatal education for recognition of preterm labor, and advice on when to call the health provider if preterm labor was suspected were found to be associated with a decreased risk of preterm delivery. Specific educational content was not, however, associated with risk of term-low weight birth nor was quantitative adequacy of care associated with the risk of either term- or preterm-low birth weight.^ These findings reinforce a body of literature which stresses the importance of appropriate prenatal care in preventing preterm low birth weight. Additionally, the findings suggest interventions that may be specifically effective for prematurity prevention. ^
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Gynuity
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The paper explores the effects of birth order and sibling sex composition on human capital investment in children in India using the Indian Human Development Survey (IHDS). Endogeneity of fertility is addressed using instruments and controlling for household fixed effects. Family size effect is also distinguished from the sibling sex composition effect. Previous literature has often failed to take endogeneity into account and shows a negative birth order effect for girls in India. Once endogeneity of fertility is addressed, there is no evidence for a negative birth order effect or sibling sex composition effect for girls. Results show that boys are worse off in households that have a higher proportion of boys specifically when they have older brothers.
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Sports started to gain relevance in Spain around the end of the nineteenth century and the beginning of the twentieth century as a leisure and health option of the upper classes imported from Britain. Its early development was intertwined with the spread of other kinds of physical activities with much more tradition on the continent: gymnastics and physical education. First played by the ruling classes – aristocracy and high bourgeoisie – sports permeated towards petty bourgeoisie and middle classes in urban areas such as Madrid, Barcelona, San Sebastián and Santander. This pattern meant that the expansion of sports was unavoidably tied to the degree of industrialisation and cultural modernisation of the country. Since 1910, and mainly during the 1920s, sport grew in popularity as a spectacle and, toa much lesser degree, as a practice among the Spanish population.
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Digital atlases of animal development provide a quantitative description of morphogenesis, opening the path toward processes modeling. Prototypic atlases offer a data integration framework where to gather information from cohorts of individuals with phenotypic variability. Relevant information for further theoretical reconstruction includes measurements in time and space for cell behaviors and gene expression. The latter as well as data integration in a prototypic model, rely on image processing strategies. Developing the tools to integrate and analyze biological multidimensional data are highly relevant for assessing chemical toxicity or performing drugs preclinical testing. This article surveys some of the most prominent efforts to assemble these prototypes, categorizes them according to salient criteria and discusses the key questions in the field and the future challenges toward the reconstruction of multiscale dynamics in model organisms.
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Acknowledgments We thank the members of the Trial Steering and Data Monitoring Committee and all the people who helped in the conduct of the study (including the OPPTIMUM collaborative group and other clinicians listed in the appendix). We are grateful to Paul Piette (Besins Healthcare Corporate, Brussels, Belgium) and Besins Healthcare for their kind donation of active and placebo drug for use in the study, and to staff of the pharmacy and research and development departments of the participating hospitals. We are also grateful to the many people who helped in this study but who we have been unable to name, and in particular all the women (and their babies) who participated in OPPTIMUM. OPPTIMUM was funded by the Efficacy and Mechanism Evaluation (EME) Programme, a Medical Research Council (MRC) and National Institute of Health Research (NIHR) partnership, award number G0700452, revised to 09/800/27. The EME Programme is funded by the MRC and NIHR, with contributions from the Chief Scientist Office in Scotland and National Institute for Social Care and Research in Wales. The views expressed in this publication are those of the author(s) and not necessarily those of the MRC, National Health Service, NIHR, or the Department of Health. The funder had no involvement in data collection, analysis or interpretation, and no role in the writing of this manuscript or the decision to submit for publication.
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Ubiquitin is a highly conserved protein that is encoded by a multigene family. It is generally believed that this gene family is subject to concerted evolution, which homogenizes the member genes of the family. However, protein homogeneity can be attained also by strong purifying selection. We therefore studied the proportion (pS) of synonymous nucleotide differences between members of the ubiquitin gene family from 28 species of fungi, plants, and animals. The results have shown that pS is generally very high and is often close to the saturation level, although the protein sequence is virtually identical for all ubiquitins from fungi, plants, and animals. A small proportion of species showed a low level of pS values, but these values appeared to be caused by recent gene duplication. It was also found that the number of repeat copies of the gene family varies considerably with species, and some species harbor pseudogenes. These observations suggest that the members of this gene family evolve almost independently by silent nucleotide substitution and are subjected to birth-and-death evolution at the DNA level.