Inequalities in mortality of men by oral and pharyngeal cancer in Barcelona, Spain and Sao Paulo, Brazil, 1995-2003

Background: Large inequalities of mortality by most cancers in general, by mouth and pharynx cancer in particular, have been associated to behaviour and geopolitical factors. The assessment of socioeconomic covariates of cancer mortality may be relevant to a full comprehension of distal determinants of the disease, and to appraise opportune interventions. The objective of this study was to compare socioeconomic inequalities in male mortality by oral and pharyngeal cancer in two major cities of Europe and South America. Methods: The official system of information on mortality provided data on deaths in each city; general censuses informed population data. Age-adjusted death rates by oral and pharyngeal cancer for men were independently assessed for neighbourhoods of Barcelona, Spain, and Sao Paulo, Brazil, from 1995 to 2003. Uniform methodological criteria instructed the comparative assessment of magnitude, trends and spatial distribution of mortality. General linear models assessed ecologic correlations between death rates and socioeconomic indices (unemployment, schooling levels and the human development index) at the inner-city area level. Results obtained for each city were subsequently compared. Results: Mortality of men by oral and pharyngeal cancer ranked higher in Barcelona (9.45 yearly deaths per 100,000 male inhabitants) than in Spain and Europe as a whole; rates were on decrease. Sao Paulo presented a poorer profile, with higher magnitude (11.86) and stationary trend. The appraisal of ecologic correlations indicated an unequal and inequitably distributed burden of disease in both cities, with poorer areas tending to present higher mortality. Barcelona had a larger gradient of mortality than Sao Paulo, indicating a higher inequality of cancer deaths across its neighbourhoods. Conclusion: The quantitative monitoring of inequalities in health may contribute to the formulation of redistributive policies aimed at the concurrent promotion of wellbeing and social justice. The assessment of groups experiencing a higher burden of disease can instruct health services to provide additional resources for expanding preventive actions and facilities aimed at early diagnosis, standardized treatments and rehabilitation.

A critical note on UNDP's gender inequality indices

This paper analyses the different indices applied for the measurement of human development as constructed by the United Nations Development Program. Of special interest is the Gender Development Index (GDI), introduced in the 1995 Human Development Report and the Gender Empowerment Measure (GEM). In light of the mate bias in the Indian socioeconomic context, the application of the GDI and GEM acquires special significance. A critical appraisal of their theoretical base and their application has been undertaken in this paper. The conclusion is that GDI and GEM. although praise-worthy achievements on the part of the UNDP, do not adequately reflect or measure male/female disparity in the Indian context. Both indices suffer from the weakness of employing a pre-assigned value of the Gender Sensitive Equity Indicator. They also exhibit several other shortcomings, outlined here. GDI is a poor indicator of the relative deprivation of females as shown by our analysis of the relationship between the GDI and the female/male ratio for 16 Indian core states.

Os Seguros: uma comparação entre Moçambique e Portugal

Dissertação para obtenção do Grau de Mestre em Contabilidade e Finanças Orientador: Mestre António de Almeida Pinto Marques

Impact on human health of particulate matter emitted from burnings in the Brazilian Amazon region

OBJECTIVE: To analyze the impact on human health of exposure to particulate matter emitted from burnings in the Brazilian Amazon region. METHODS: This was an ecological study using an environmental exposure indicator presented as the percentage of annual hours (AH%) of PM2.5 above 80 μg/m3. The outcome variables were the rates of hospitalization due to respiratory disease among children, the elderly and the intermediate age group, and due to childbirth. Data were obtained from the National Space Research Institute and the Ministry of Health for all of the microregions of the Brazilian Amazon region, for the years 2004 and 2005. Multiple regression models for the outcome variables in relation to the predictive variable AH% of PM2.5 above 80 μg/m3 were analyzed. The Human Development Index (HDI) and mean number of complete blood counts per 100 inhabitants in the Brazilian Amazon region were the control variables in the regression analyses. RESULTS: The association of the exposure indicator (AH%) was higher for the elderly than for other age groups (β = 0.10). For each 1% increase in the exposure indicator there was an increase of 8% in child hospitalization, 10% in hospitalization of the elderly, and 5% for the intermediate age group, even after controlling for HDI and mean number of complete blood counts. No association was found between the AH% and hospitalization due to childbirth. CONCLUSIONS: The indicator of atmospheric pollution showed an association with occurrences of respiratory diseases in the Brazilian Amazon region, especially in the more vulnerable age groups. This indicator may be used to assess the effects of forest burning on human health.

Dental caries experience in Indians of the Upper Xingu, Brazil

The present study describes the experience of dental caries in Indians communities of the Xingu, in order to supply parameters for further analysis of trends of the disease in Indians. We performed oral health examination in 288 Indians from four communities (Yawalapiti, Aweti, Mehinaku and Kamaiura) living in the southern part of the Xingu National Park, using international criteria defined by the World Health Organization. The outcome measures were the DMFT and dmft scores, and the care index. Indians of the Upper Xingu presented high levels of caries, in all age groups. The average DMFT for 11 to 13-year-old children - 5.93 - was lower than the index measured in 1993 for 12-year-old schoolchildren in nearby cities - 8.23 -, whose United Nations' human development index ranked medium. However, Indians presented a much lower care index, per age group, than these cities, and a high ratio of missing teeth for persons above 20 years old. These observations indicate low incorporation of dental care services. The irregularity of the services programmed for these communities, and the changing dietary and cultural patterns, mainly derived from their contact with the non-indigenous population of Brazil, reinforce the pressing need for health promotion initiatives aimed at these groups.

Use of Poisson spatiotemporal regression models for the Brazilian Amazon Forest: malaria count data

INTRODUCTION: Malaria is a serious problem in the Brazilian Amazon region, and the detection of possible risk factors could be of great interest for public health authorities. The objective of this article was to investigate the association between environmental variables and the yearly registers of malaria in the Amazon region using Bayesian spatiotemporal methods. METHODS: We used Poisson spatiotemporal regression models to analyze the Brazilian Amazon forest malaria count for the period from 1999 to 2008. In this study, we included some covariates that could be important in the yearly prediction of malaria, such as deforestation rate. We obtained the inferences using a Bayesian approach and Markov Chain Monte Carlo (MCMC) methods to simulate samples for the joint posterior distribution of interest. The discrimination of different models was also discussed. RESULTS: The model proposed here suggests that deforestation rate, the number of inhabitants per km², and the human development index (HDI) are important in the prediction of malaria cases. CONCLUSIONS: It is possible to conclude that human development, population growth, deforestation, and their associated ecological alterations are conducive to increasing malaria risk. We conclude that the use of Poisson regression models that capture the spatial and temporal effects under the Bayesian paradigm is a good strategy for modeling malaria counts.

Measuring peace. Initiatives, limitations and proposals. Seminar proceedings Barcelona, March 2010

These proceedings correspond to the international seminar “Measuring Peace. Initiatives, Limitations and Proposals” organized by the International Catalan Institute for Peace, which took place in Barcelona on the 4th and the 5th of March 2010. The Human Development Index is the most visible attempt over the last years to improve the statistical tools so that they offer results which are closer to social realities. In the field of Peace the attempts to create new measuring mechanisms have not been able to move beyond the negative conception of peace, which means that it has just been considered as an absence of violent conflicts. In this context, the international seminar organized by the ICIP was an attempt to compile recent contributions of different investigation centres which have focused in conceptualizing positive peace and new ways to measure it.

El futur de les democràcies a Bolívia i Equador

Segons L'índex de Desenvolupament Democràtic d'Amèrica Llatina (IDD-Lat 2004) tot i que a la zona hi ha símbols democràtics com eleccions periòdiques, alternança en el poder per part dels partits polítics, divisió de poders, en alguns dels països llatinoamericans també s'hi ha trobat signes de debilitat del sistema democràtic.

Analysis and estimative of schistosomiasis prevalence for the state of Minas Gerais, Brazil, using multiple regression with social and environmental spatial data

The aim of this work is to establish a relationship between schistosomiasis prevalence and social-environmental variables, in the state of Minas Gerais, Brazil, through multiple linear regression. The final regression model was established, after a variables selection phase, with a set of spatial variables which contains the summer minimum temperature, human development index, and vegetation type variables. Based on this model, a schistosomiasis risk map was built for Minas Gerais.

Schistosomiasis risk mapping in the state of Minas Gerais, Brazil, using a decision tree approach, remote sensing data and sociological indicators

Schistosomiasis mansoni is not just a physical disease, but is related to social and behavioural factors as well. Snails of the Biomphalaria genus are an intermediate host for Schistosoma mansoni and infect humans through water. The objective of this study is to classify the risk of schistosomiasis in the state of Minas Gerais (MG). We focus on socioeconomic and demographic features, basic sanitation features, the presence of accumulated water bodies, dense vegetation in the summer and winter seasons and related terrain characteristics. We draw on the decision tree approach to infection risk modelling and mapping. The model robustness was properly verified. The main variables that were selected by the procedure included the terrain's water accumulation capacity, temperature extremes and the Human Development Index. In addition, the model was used to generate two maps, one that included risk classification for the entire of MG and another that included classification errors. The resulting map was 62.9% accurate.

Under-reporting of dietary energy intake in five populations of the African diaspora.

Studies on the role of diet in the development of chronic diseases often rely on self-report surveys of dietary intake. Unfortunately, many validity studies have demonstrated that self-reported dietary intake is subject to systematic under-reporting, although the vast majority of such studies have been conducted in industrialised countries. The aim of the present study was to investigate whether or not systematic reporting error exists among the individuals of African ancestry (n 324) in five countries distributed across the Human Development Index (HDI) scale, a UN statistic devised to rank countries on non-income factors plus economic indicators. Using two 24 h dietary recalls to assess energy intake and the doubly labelled water method to assess total energy expenditure, we calculated the difference between these two values ((self-report - expenditure/expenditure) × 100) to identify under-reporting of habitual energy intake in selected communities in Ghana, South Africa, Seychelles, Jamaica and the USA. Under-reporting of habitual energy intake was observed in all the five countries. The South African cohort exhibited the highest mean under-reporting ( - 52·1% of energy) compared with the cohorts of Ghana ( - 22·5%), Jamaica ( - 17·9%), Seychelles ( - 25·0%) and the USA ( - 18·5%). BMI was the most consistent predictor of under-reporting compared with other predictors. In conclusion, there is substantial under-reporting of dietary energy intake in populations across the whole range of the HDI, and this systematic reporting error increases according to the BMI of an individual.

En respuesta a la ONU : ¿Es el fútbol un indicador del progreso y desarrollo en la esfera internacional?

[spa] El objetivo de este trabajo es corroborar la afirmación de la ONU de que el deporte es una herramienta poderosa para el progreso y el desarrollo. En este contexto, examinamos si el fútbol puede considerarse un indicador de desarrollo a nivel internacional. Un modelo empírico econométrico se diseña con el fin de analizar el desarrollo en términos de PIB per cápita, así como en términos del Índice de Desarrollo Humano. Se utiliza información transversal y temporal. Los resultados sugieren que la clasificación de la FIFA de selecciones nacionales puede ser utilizada para complementar nuestra comprensión del desarrollo multidimensional, en particular, en aquellos países donde la disponibilidad de información no es tan buena como los investigadores desearían.

En respuesta a la ONU : ¿Es el fútbol un indicador del progreso y desarrollo en la esfera internacional?

[spa] El objetivo de este trabajo es corroborar la afirmación de la ONU de que el deporte es una herramienta poderosa para el progreso y el desarrollo. En este contexto, examinamos si el fútbol puede considerarse un indicador de desarrollo a nivel internacional. Un modelo empírico econométrico se diseña con el fin de analizar el desarrollo en términos de PIB per cápita, así como en términos del Índice de Desarrollo Humano. Se utiliza información transversal y temporal. Los resultados sugieren que la clasificación de la FIFA de selecciones nacionales puede ser utilizada para complementar nuestra comprensión del desarrollo multidimensional, en particular, en aquellos países donde la disponibilidad de información no es tan buena como los investigadores desearían.

En respuesta a la ONU : ¿Es el fútbol un indicador del progreso y desarrollo en la esfera internacional?

[spa] El objetivo de este trabajo es corroborar la afirmación de la ONU de que el deporte es una herramienta poderosa para el progreso y el desarrollo. En este contexto, examinamos si el fútbol puede considerarse un indicador de desarrollo a nivel internacional. Un modelo empírico econométrico se diseña con el fin de analizar el desarrollo en términos de PIB per cápita, así como en términos del Índice de Desarrollo Humano. Se utiliza información transversal y temporal. Los resultados sugieren que la clasificación de la FIFA de selecciones nacionales puede ser utilizada para complementar nuestra comprensión del desarrollo multidimensional, en particular, en aquellos países donde la disponibilidad de información no es tan buena como los investigadores desearían.

Spatialization of climate, physical and socioeconomic factors that affect the dairy goat production in Brazil and their impact on animal breeding decisions

Brazil has high climate, soil and environmental diversity, as well as distinct socioeconomic and political realities, what results in differences among the political administrative regions of the country. The objective of this study was to determine spatial distribution of the physical, climatic and socioeconomic aspects that best characterize the production of dairy goats in Brazil. Production indices of milk per goat, goat production, milk production, as well as temperature range, mean temperature, precipitation, normalized difference vegetation index, relative humidity, altitude, agricultural farms; farms with native pasture, farms with good quality pasture, farms with water resources, farms that receive technical guidance, family farming properties, non-familiar farms and the human development index were evaluated. The multivariate analyses were carried out to spatialize climatic, physical and socioeconomic variables and so differenciate the Brazilian States and Regions. The highest yields of milk and goat production were observed in the Northeast. The Southeast Region had the second highest production of milk, followed by the South, Midwest and North. Multivariate analysis revealed distinctions between clusters of political-administrative regions of Brazil. The climatic variables were most important to discriminate between regions of Brazil. Therefore, it is necessary to implement animal breeding programs to meet the needs of each region.