Geographical Distribution and Demographic Characteristics of Gestational Trophoblastic Disease

OBJECTIVE: To outline the geographical distribution pattern of gestational trophoblastic disease (GTD) in a referral center in Bahia, Brazil, and determine the demographics of the disease.STUDY DESIGN: We conducted a study of data retrieved from medical records of 140 GTD patients referred to our Trophoblastic Diseases Center in 2002-2007, assessing geographical distribution across health care districts, demographics, referral sources, and previous pregnancy status.RESULTS: The most common GTD types were hydatidiform mole (106, 75.7%), invasive mole (32, 22.9%), choriocarcinoma (1, 0.7%), and placental site trophoblastic tumor (1, 0.7%). GTD incidence was 8.5 in 1,000 deliveries. Most patients originated from the coastal region (East district), which includes the state capital (77.9%). The 20-34 age group predominated (65%). Education level (67.9% attended elementary school only) and employment rate (42.9%) were low. Secondary hospitals were the principal source of referral (84.3%), followed by self-referrals (15.7%). Regarding previous pregnancy status, 42.1% (n = 59) had had term pregnancy, 39.3% (n = 55) no pregnancy, 15% (n = 21) miscarriage, and 0.7% (n = 1) ectopic pregnancy; 4 patients (2.9%) had previous hydatidiform mole.CONCLUSION: GTD predominated in the peak fertility age group and among patients of unfavorable sociodemographic status. (J Reprod Med 2010;55:305-310)

Integrating geo-referenced multiscale and multidisciplinary data for the management of biodiversity in livestock genetic resources

P>In livestock genetic resource conservation, decision making about conservation priorities is based on the simultaneous analysis of several different criteria that may contribute to long-term sustainable breeding conditions, such as genetic and demographic characteristics, environmental conditions, and role of the breed in the local or regional economy. Here we address methods to integrate different data sets and highlight problems related to interdisciplinary comparisons. Data integration is based on the use of geographic coordinates and Geographic Information Systems (GIS). In addition to technical problems related to projection systems, GIS have to face the challenging issue of the non homogeneous scale of their data sets. We give examples of the successful use of GIS for data integration and examine the risk of obtaining biased results when integrating datasets that have been captured at different scales.

Demographic and metabolic characteristics of individuals with progressive glucose tolerance

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Transitional fiscal costs and demographic factors in shifting from unfunded to funded pensions in Latin America

Includes bibliography

Demographic models for projections of social sector demand

Includes bibliography

The use of census data for national development planning Focus on the 2010 population and housing census

Includes bibliography.

Socio-demographic analysis of youth in the Caribbean- a three country case study

Many Caribbean youth are doing reasonably well. They live in loving and caring families, attend school and are involved in various social activities in their communities. The health and well-being of the children and youth1 in the Caribbean is, and has been, the centre of attention of many studies, meetings and policy directives set at the regional, subregional and national levels. Programmes have been put in place to address the basic needs of young children in the areas of health and education and to provide guidance and directives to youth and adolescents in the area of professional formation and transition to adulthood. Critical issues such as reproductive health and family planning combined with access to education and information on these topics have been promoted to some extent. And finally, the Caribbean is known for rather high school enrolment rates in primary education that hardly show any gender disparities. While the situation is still good for some, growing numbers of children and youth cannot cope anymore with the challenges experienced quite early in their lives. Absent parents, instable care-taking arrangements, violence and aggression subjected to at home, in schools and among their friends, lack of a perspective in schools and the labour-market, early sexual initiation and teenage pregnancies are some of those issues faced by a rising number of young persons in this part of the world. Emotional instability, psychological stress and increased violence are one of the key triggers for increased violence and involvement in crime exhibited by ever younger youth and children. Further, the region is grappling with rising drop-out rates in secondary education, declining quality schooling in the classrooms and increasing numbers of students who leave school without formal certification. Youth unemployment in the formal labour market is high and improving the quality of professional formation along with the provision of adequate employment opportunities would be critical to enable youth to complete consistently and effectively the transition into adulthood and to take advantage of the opportunities to develop and use their human capital in the process. On a rather general note, the region does not suffer from a shortage of policies and programmes to address the very specific needs of children and youth, but the prominent and severe lack of systematic analysis and monitoring of the situation of children, youth and young families in the Caribbean does not allow for targeted and efficient interventions that promise successful outcomes on the long term. In an effort to assist interested governments to fill this analytical gap, various initiatives are underway to enhance data collection and their systematic analysis2. Population and household censuses are conducted every decade and a variety of household surveys, such as surveys of living conditions, labour force surveys and special surveys focusing on particular sub-groups of the population are conducted, dependent on the resources available, to a varying degree in the countries of the region. One such example is the United Nations Children’s Fund (UNICEF)-funded Multi-Indicator Cluster Surveys (MICS) that assess the situation of children and youth in a country. Over the past years and at present, UNICEF has launched a series of surveys in a number of countries in the Caribbean3. But more needs to be done to ensure that the data available is analyzed to provide the empirical background information for evidence-based policy formulation and monitoring of the efficiency and effectiveness of the efforts undertaken.

Vertical distribution by demographic groups of ghost crab Ocypode quadrata (Crustacea: Brachyura)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Oral impacts on the daily performance of Brazilians assessed using a sociodental approach: analyses of national data

The aim of this study was to analyze the relationship between oral diseases and their impact on the daily performance of adult and elderly Brazilians, verify the association of oral diseases with socioeconomic and demographic features, and compare the standard estimate of need with the sociodental assessment of these same needs. The authors evaluated data from 17,398 Brazilians aged between 35-44 years and 65-74 years, taken from the cross-sectional Brazilian Oral Health Survey (Saúde Bucal Brasil - SBBrasil). Regression models were applied to assess associations among impacts on daily performance and income, schooling, gender, region, use of dental services, health perception and dental disease status. McNemar’s test was applied to compare standard versus impact-related estimates of need. The prevalence ratio of these impacts was associated with the sociodemographic versus health perceptions (p < 0.001) of adults and the elderly. Adults also had impacts associated with loss of periodontal attachment (p < 0.001). The prevalence of normative needs was 95.39% for adults and 99.76% for the elderly, whereas the impact-related estimate of need was 50.92% and 43.71%, respectively. The impacted-related approach had a statistically significant association with the normative estimate of need (p < 0.001). This study showed a relationship between oral impact on daily performance of adults and educational level. Sociodemographic features were also related to the impacts on both adults and the elderly, and to health perception. The impacts among the adults were related to the loss of periodontal attachment. In addition, the authors found a sizable difference between the standard versus the sociodental approach, in that the sociodental assessment needs were lower than the needs identified by the standard estimate of need.

The evolution of phylogeographic data sets

Empirical phylogeographic studies have progressively sampled greater numbers of loci over time, in part motivated by theoretical papers showing that estimates of key demographic parameters improve as the number of loci increases. Recently, next-generation sequencing has been applied to questions about organismal history, with the promise of revolutionizing the field. However, no systematic assessment of how phylogeographic data sets have changed over time with respect to overall size and information content has been performed. Here, we quantify the changing nature of these genetic data sets over the past 20years, focusing on papers published in Molecular Ecology. We found that the number of independent loci, the total number of alleles sampled and the total number of single nucleotide polymorphisms (SNPs) per data set has improved over time, with particularly dramatic increases within the past 5years. Interestingly, uniparentally inherited organellar markers (e.g. animal mitochondrial and plant chloroplast DNA) continue to represent an important component of phylogeographic data. Single-species studies (cf. comparative studies) that focus on vertebrates (particularly fish and to some extent, birds) represent the gold standard of phylogeographic data collection. Based on the current trajectory seen in our survey data, forecast modelling indicates that the median number of SNPs per data set for studies published by the end of the year 2016 may approach similar to 20000. This survey provides baseline information for understanding the evolution of phylogeographic data sets and underscores the fact that development of analytical methods for handling very large genetic data sets will be critical for facilitating growth of the field.

Khoisan hunter-gatherers have been the largest population throughout most of modern-human demographic history

The Khoisan people from Southern Africa maintained ancient lifestyles as hunter-gatherers or pastoralists up to modern times, though little else is known about their early history. Here we infer early demographic histories of modern humans using whole-genome sequences of five Khoisan individuals and one Bantu speaker. Comparison with a 420 K SNP data set from worldwide individuals demonstrates that two of the Khoisan genomes from the Ju/'hoansi population contain exclusive Khoisan ancestry. Coalescent analysis shows that the Khoisan and their ancestors have been the largest populations since their split with the non-Khoisan population similar to 100-150 kyr ago. In contrast, the ancestors of the non-Khoisan groups, including Bantu-speakers and non-Africans, experienced population declines after the split and lost more than half of their genetic diversity. Paleoclimate records indicate that the precipitation in southern Africa increased similar to 80-100 kyr ago while west-central Africa became drier. We hypothesize that these climate differences might be related to the divergent-ancient histories among human populations.

Genomic data as the hitchhiker's guide to cattle adaptation: tracking the milestones of past selection in the bovine genome

The bovine species have witnessed and played a major role in the drastic socio-economical changes that shaped our culture over the last 10,000 years. During this journey, cattle hitchhiked on human development and colonized the world, facing strong selective pressures such as dramatic environmental changes and disease challenge. Consequently, hundreds of specialized cattle breeds emerged and spread around the globe, making up a rich spectrum of genomic resources. Their DNA still carry the scars left from adapting to this wide range of conditions, and we are now empowered with data and analytical tools to track the milestones of past selection in their genomes. In this review paper, we provide a summary of the reconstructed demographic events that shaped cattle diversity, offer a critical synthesis of popular methodologies applied to the search for signatures of selection (SS) in genomic data, and give examples of recent SS studies in cattle. Then, we outline the potential and challenges of the application of SS analysis in cattle, and discuss the future directions in this field.

A New Birth-Interval Approach to Estimating Demographic Parameters of Humpback Whales

A demographic model is developed based on interbirth intervals and is applied to estimate the population growth rate of humpback whales (Megaptera novaeangliae) in the Gulf of Maine. Fecundity rates in this model are based on the probabilities of giving birth at time t after a previous birth and on the probabilities of giving birth first at age x. Maximum likelihood methods are used to estimate these probabilities using sighting data collected for individually identified whales. Female survival rates are estimated from these same sighting data using a modified Jolly–Seber method. The youngest age at first parturition is 5 yr, the estimated mean birth interval is 2.38 yr (SE = 0.10 yr), the estimated noncalf survival rate is 0.960 (SE = 0.008), and the estimated calf survival rate is 0.875 (SE = 0.047). The population growth rate (l) is estimated to be 1.065; its standard error is estimated as 0.012 using a Monte Carlo approach, which simulated sampling from a hypothetical population of whales. The simulation is also used to investigate the bias in estimating birth intervals by previous methods. The approach developed here is applicable to studies of other populations for which individual interbirth intervals can be measured.

Instrumental activities of daily living performance in healthy and cognitively intact seniors from a Brazilian sample and its relation to age and other socio-demographic variables

Background: Studies on functional capacity in community-dwelling older people have shown associations between declines in instrumental activities of daily living (IADL) and several factors. Among these, age has been the most consistently related to functional capacity independent of other variables. We aimed at evaluating the performance of a sample of healthy and cognitively intact Brazilian older people on activities of daily living and to analyze its relation to social-demographic variables. Methods: We conducted a secondary analysis of data collected for previous epidemiological studies with community-dwelling subjects aged 60 years or more. We selected subjects who did not have dementia or depression, and with no history of neurological diseases, heart attack, HIV, hepatitis or arthritis (n = 1,111). Functional capacity was assessed using the Brazilian version of the Older American Resources and Services Questionnaire (BOMFAQ). ADL performance was analyzed according to age, gender, education, and marital status (Pearson's chi(2), logistic regression). Results: IADL difficulties were present in our sample, especially in subjects aged 80 years or more, with lower levels of education, or widowed. The logistic regression analysis results indicated that "higher age" and "lower education" (p <= 0.001) remained significantly associated with IADL difficulty. Conclusions: Functional decline was present in older subjects even in the absence of medical conditions and cognitive impairment. Clinicians and researchers could benefit from knowing what to expect from older people regarding IADL performance in the absence of medical conditions.

Demographic processes in the montane Atlantic rainforest: Molecular and cytogenetic evidence from the endemic frog Proceratophrys boiei

Historical climatic refugia predict genetic diversity in lowland endemics of the Brazilian Atlantic rainforest. Yet, available data reveal distinct biological responses to the Last Glacial Maximum (LGM) conditions across species of different altitudinal ranges. We show that species occupying Brazil's montane forests were significantly less affected by LGM conditions relative to lowland specialists, but that pre-Pleistocene tectonics greatly influenced their geographic variation. Our conclusions are based on palaeoclimatic distribution models, molecular sequences of the cytochrome b, 16S, and RAG-1 genes, and karyotype data for the endemic frog Proceratophrys boiei. DNA and chromosomal data identify in P. boiei at least two broadly divergent phylogroups, which have not been distinguished morphologically. Cytogenetic results also indicate an area of hybridization in southern Sao Paulo. The location of the phylogeographic break broadly matches the location of a NW-SE fault, which underwent reactivation in the Neogene and led to remarkable landscape changes in southeastern Brazil. Our results point to different mechanisms underpinning diversity patterns in lowland versus montane tropical taxa, and help us to understand the processes responsible for the large number of narrow endemics currently observed in montane areas of the southern Atlantic forest hotspot. (C) 2011 Elsevier Inc. All rights reserved.