2 resultados para asset health state

em Universidade Federal do Rio Grande do Norte(UFRN)


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The lipid profile is a group of lab tests that include triglycerides, total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C). However, serum non-HDL-C, Apo A-I and Apo B levels, as well as the lipids ratios (TC/HDL-C, LDL-C/HDL-C and Apo B/Apo A-I), have been described as better predictors of cardiovascular diseases. Reference intervals are tools often used to help the evaluation of the people s health state. These days, Brazilian studies still use the reference intervals of lipids and lipoproteins from other countries, ignoring differences between the populations. Therefore, this study aimed to establish reference intervals for lipids, lipoproteins and apolipoproteins in adults of Rio Grande do Norte/Brazil. Healthy individuals (96 men and 283 women) between 18 and 59years old formed the reference sample group. The samples were collected after fasting 12 to 14 hours. Information on lifestyle and dietary habits of the participants were obtained through questionnaire. The serum glucose level and renal and liver activity were evaluated by laboratory testing. The results of lipid profile were analyzed according to sex, age and mesoregion of Rio Grande do Norte, with significance level of 5% (p < 0,05). The lower and upper reference limits were identified by the 2.5 percentile and 97.5 percentile, respectively, and assurance intervals of 90% was calculated for each of these limits. Among the determinants of lipid profile analyzed, only a few significant differences were observed according to sex, but in terms of age, the groups of smaller and older ages were most likely different. When evaluated by region, the means of West region shown the most significant variations. Not many studies were useful to compare the reference intervals determined in this study. Thus, it becomes necessary to carry out similar studies in other regions of Brazil and of the world given the clinical importance of reference intervals

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Despite the improvement of Brazilian s living conditions in recent decades, this improvement occurred in a polarized way between groups of better social position. Then, there is still a health inequity´s panorama in Brazil which encompasses the oral health state. This panorama instigated the attainment of this ecological study that aimed to evaluate the relationship of socioeconomic conditions, and public health policies with oral health status in Brazilian capitals. Thus, we performed factor analysis and linear regression using oral health indicators collected from SB Brasil 2010, of socioeconomic conditions from Brazilian Census 2010 and related to water´s supply fluoridation from SISAGUA. Factor analysis with indicators of living conditions revealed two common factors, economic deprivation and socio-sanitary condition. Economic deprivation showed statistically significant positive correlation with DMFT 12 years (p= 0,03) and mean missing teeth (p = 0,002) and negative correlation with caries-free population (p=0,012). Socio-sanitary negatively correlated with DMFT (p <0,0001) and a positive correlation with caries-free population (p = 0.002). Fluoridated water had a significant association with DMFT (p <0,0001), mean missing teeth (p <0,0001) and caries free population (p <0.0001). Multiple linear regression analysis for the DMFT of capital was estimated by socio-sanitary condition and fluoridation, adjusted by economic deprivation, whereas the model for the mean missing teeth was estimated only by fluoridation and economic deprivation, and finally the model the rate for the population free of caries in Brazilian capitals was estimated by economic and socio-sanitary status adjusted fluoridated water supply. Therefore, factors related to living conditions and public policies are intrinsically linked to tooth decay issues. Thus, actions, beyond dental care assistance, must be development to impact positively in social and economic conditions, especially, between the most vulnerable populations