Alcoolemia em vítimas fatais de acidentes de trânsito no Rio Grande do Norte empregando cromatografia em fase gasosa - head space

Alcohol is one of the few psychotropic drugs that their consumption has admitted legally and sometimes encouraged by the society. Studies show alcohol as the highest consumption of drugs among young people and society in general, probably because of its availability and easy access. The abuse causes public health problems, which was closely related to the violence, socioeconomic problems and the high number of automobile accidents. Transit is one of the main sectors affected by the effects of alcohol, observing a high incidence in the studies. About half of automobile accidents occurs after the consumption of alcoholic beverage, and the vast majority of cases related to high concentrations of alcohol in the bloodstream. The relationship of drunk with traffic accidents is in fact evident everywhere in the world, including Brazil, where studies have shown a high relationship between alcohol consumption and traffic accidents. This study determined the alcohol in fatal victims of traffic accidents in the state of Rio Grande do Norte and established the profile of this population compared with those found in Brazil and other countries. Samples of blood of ethanol added to fulfillment of the standardization of chromatographic conditions and procedures for the analysis, being employed in the determination of alcohol in blood samples of 277 victims of traffic accidents, collected at the Institute of Scientific Technical Police of Rio Grande do North (ITEP) in the year 2007. The blood alcohol level was determined in these samples correlated with the sex, age and marital status of the victim and the location, day of week and month when the accident occurred, is doing a statistical analysis and outlining a profile of the victims of an accident at transit in the state of Rio Grande do Norte. The parameters of standardization studied ensured the quality of the analytical method and, consequently, to obtain reliable laboratory results. Being given the best temperature for injector (150 ºC), detector (250 ºC) and column (50 ºC) with a flow of gas in the column of 2mL/minutos and analysis of time of 12 minutes. The method was linear in the range of 0.01 to 3.2 g / L (r2 = 0.9989) with average recovery of 100.2% and precision with coefficient of variation less than 15%. The analysis carried out on victims of fatal road traffic accidents, ethanol detected in the blood in 66.43% of the victims and these, 96% showed concentration ≥ 0.2 g / L, 87.73% of victims were male, while 12.27% female. The younger age group (1535 years) was the most involved (52,35%) and most single (55.60%). The accidents occurred with greater prevalence in the day on Monday (27%) followed by Sunday (24,19%) and Saturday (15,52%) and it was found that the prevalence of injuries varied between the different months of the year, and in February (14.4%) and April (10.47%) the months that had a higher number of accidents, however this oscillation showed no statistically significant difference. Also no significant difference was observed between the tracks of concentration found in men and women. The standardized method showed to be efficient, given satisfactorily to the goals of this work, and the high levels of alcohol found in victims of fatal road traffic accidents are consistent with several studies of literature, and the profile of the victim also supported by presenting in its most young adults, male and single

Diferenciais de mortalidade adulta por nível de escolaridade no Brasil e regiões

The study of mortality by various differentials has been an important tool to guide public health policies, due to better describing the events of deaths in a population. This research aims to seek disparities in mortality according to educational level, sex and adulthood in large Brazilian regions and consequently for Brazil as a whole. A vast literature has shown that people with more education tend to have lower risk of death. Studies on inequalities in mortality by level of education in Brazil are still very specific and has still known very little about Brazil about mortality according to educational level, due to lack of information about the well-filled school in the records of deaths arising from the Mortality Information System (MIS) of the Ministry of Health. This data source has shown improvement in the coverage of sub reports in the last decade, however, it has still perceived negligence in completing the question regarding schooling of death (about 30% of registered deaths in 2010 to Brazil, Given this scenario, this work contributes to the national literature on the behavior of adult mortality differentials having as proposed, using data from the new variable mortality of the 2010 Census (CD 2010), assuming the characteristics of education of the head the household for deaths occurring in the same. It is therefore considered that the probability of mortality is homogeneous within the household. Events of deaths were corrected only for the records come from households where the head possessed levels of schooling and Instruction Elementary Education No Incomplete and Primary Education and Secondary Education Complete Incomplete through the Generations Extinct Adjusted method. With deaths already corrected, probabilities of death were calculated between 15 and 60 years life, as well as tables by sex and level of education to all regions of Brazil. No que se refere às probabilidades de morte por idade, nas idades entre 15 e 60 anos as maiores probabilidades seguem um gradiente, maior probabilidade para os menos escolarizados. Results corroborate the literature, the more educated the population is, the greater the life expectancy. In all Brazilian regions, life expectancy of the female population is greater than that of men at all levels of schooling. With respect to probabilities of death by age between the ages of 15 and 60 years the most likely follow a gradient, most likely to the least educated. At older ages (from 70 years), this behavior has presented another pattern, the lowest level of education has the lowest odds in the regions, North, Northeast, South and Midwest, except in the Southeast region