Predictores clínicos de la calidad de vida relacionada con la salud bucal en los mayores diabéticos

Enquadramento: Avaliar a Qualidade de Vida Relacionada com a Saúde Oral (QVRSO) é crucial no planeamento de programas de saúde, mas é escassa a investigação nesta matéria em populações com patologia crónica. Objetivos: Avaliar preditores clínicos da QVRSO de idosos diabéticos. Metodologia: Estudo transversal em 207 idosos diabéticos no Nordeste de Portugal. Os parâmetros de saúde oral foram obtidos com exame clínico. As 14 questões do Oral Health Impact Profile (OHIP-14) forneceram um score de QVRSO que foi dicotomizado em OHIP-14 com e sem impacto negativo. Os modelos de regressão logística forneceram valores ajustados de odds-ratio (OR) e respetivo intervalo de confiança a 95% (IC95%) para preditores clínicos da QVRSO. Resultados: Dos idosos, 84,1% reportaram impacto negativo na QVRSO. De acordo com a análise de regressão logística, o número de dentes naturais posteriores (OR=0,85;IC 95%:0,80-0,92) e a sensação de boca seca (OR=3,30;IC 95%:1,08-10,10) são variáveis preditoras de OHIP-14 com impacto. Conclusão: Este estudo realça a importância de prevenir perda dentária para assegurar a QVRSO nestes idosos. Abstract: Background: The assessment of Oral Health-Related Quality of Life (OHRQoL) is essential to planning oral health programs, but there is a lack of research on this issue with chronic patients. Objectives: To assess clinical predictors of OHRQoL in older adults with diabetes. Methodology: A cross-sectional study was carried out with 207 older adults with diabetes in Northeast Portugal. Clinical examination provided data on oral health parameters. OHRQoL was assessed based on the short version of the Oral Health Impact Profile (OHIP-14) and the score was dichotomised into OHIP-14 with and without impact. Logistic regression models provided adjusted odds-ratio (OR) and respective 95% confidence interval (95%CI) for the clinical predictors of OHRQoL. Results: In this sample, 84.1% of older adults reported a negative impact on OHRQoL. According to the logistic regression analysis, the number of natural posterior teeth (OR=0.85; 95%CI:0.80-0.92) and a feeling of dry mouth (OR=3.30; 95%CI:1.08-10.10) are predictor variables of OHIP-14 with impact. Conclusion: Our findings highlight the importance of preventing tooth loss to ensure OHRQoL in these older adults

The impact of oral health on quality of life in type-2 diabetic older people from inland Northern Portugal

The assessment of the relationship between oral health and quality of life (OHRQOL) is crucial to planning oral health care programs but there is paucity in research on such relationship among people with poor oral health. Objectives: To assess the OHRQOL among older diabetic people from inland Northern Portugal. A cross-sectional study was carried out among 250 type-2 diabetic individuals aged 65 years or more; 54% being female. Data collection included clinical examinations and structured interviews. The OHRQOL was assessed by using the OHIP-14 questionnaire (scale ranged from 0 to 56; higher scores indicating poorer OHRQOL). Multiple linear regression analyses were conducted separately by gender, using OHIP-14 score as dependent variable and oral health parameters (dry mouth, gengival bleeding, periodontal pockets, number of natural anterior and posterior teeth and prosthodontic rehabilitation) as explanatory variables. Multiple standardized regression coefficients (b) were obtained for variables that kept in the model through a stepwise procedure. Clinical examination revealed that women had poorer oral health than men. OHIP-14 score was significantly higher among women than among men (28.3 ± 13.30 vs 20.8 ± 12.28; p = < 0.001) Multiple regression analysis in male group showed that number of natural posterior teeth (β = -0.428; p < 0.001) and dry mouth (β = 0.225; p = 0.020) had significant association with OHIP-14 score. In female group there were no oral factors significantly associated with such score. Conclusions: The OHRQOL showed a different pattern by gender. Among men the number of natural posterior teeth had impact on OHRQOL, highligthing the importance of strategies in perserving natural teeth throughout lifetime

Increasing Sorption Isotherms Accuracy: Weibull Modelling and Linear Regression

http://sherpa.ac.uk/romeo/search.php?issn=0144-5987Relying on an adequate mathematical approach, two different mathematical procedures can be applied to the huge database produced during gas sorption isotherm experiments in order to obtain accurate data to be used in the industrial practice. To treat data determined from gas sorption isotherms without a careful mathematical support will produce inaccurate results, because all the determinations will be dependent on human decision. The minimum error reported since the first stage of a sorption isotherm determination, which corresponds to volume calibrations of reference and sample cells performed through the use of helium, will produce enormous inaccuracies on sorption isotherm behavior. These inaccurate behaviors may sometimes invalidate any Coalbed Methane recovery and CO2 injection programs. The study consisted on investigating gas sorption isotherm accuracies determined during the first part of the sorption process, which is mainly conducted by monitoring the pressure decline with time, in the reference and the sample cells (when both cells are not in contact), until the stabilization stage is achieved. Three samples from two different coals were selected in order to study their gas sorption behavior, in terms of a clear mathematical approach, when submitted to three different gas compositions, viz. 99.999% methane (CH4); 99.999% carbon dioxide (CO2); and a gas mixture containing 74.99% CH4 + 19.99% CO2 + 5.02% nitrogen (N2). Sorption experiments allow to conclude that the three samples present the same mathematical response during the first part of the sorption process. However, all gas sorption data (adsorption and desorption) collected from reference cell have a better fitting to a Modified Weibull Model, and all gas sorption data (adsorption and desorption) collected from sample cell respond in a trustworthy way to a Linear Regression Model. Confidence bands and prediction intervals (or bands) were also computed.info:eu-repo/semantics/publishedVersio

Gas content derivative data versus diffusion coefficient

http://sherpa.ac.uk/romeo/issn/0144-5987/The study of the gas diffusion process has a main role in both Coalbed Methane (CBM) production and CO2 injection in geological sequestration projects. The accurate determination of gas diffusion coefficients in unconventional reservoirs such as coal seams, requires a consistent mathematical approach. The study of the gas diffusion process in coal seams was carried out using sorption isotherms. The Langmuir model for individual gases and the extended Langmuir model for multicomponent gas mixtures were applied to fit sorption isotherm data. “Gas content derivative data” and “gas content changes” emerged as crucial mathematical parameters to accurately study the gas diffusion process. The main goal of this paper is to define the degree of interaction between the gas content derivative data and the gas diffusion process. Experiments were performed on three samples selected from two different coals, which were submitted to three different gas compositions, viz 99.999% CH4; 99.999% CO2; and a gas mixture containing 74.99% CH4 + 19.99% CO2 + 5.02% N2, at 35ºC, and at pressures ranging from 0 up to 50 bar. Experimental results obtained from the three samples indicate that during adsorption/desorption processes, the diffusion coefficients increase and the gas content changes decrease when the pressure decreases, due to the sample saturation degrees and to the kinetic mechanisms increase. Additionally, the “gas content derivative data” scattering is slightly lower during the desorption process than during the adsorption process. These behaviors are clearly identified when using methane, but are even more evident when using CO2 and the gas mixture, due to the CO2 interaction with coal porous structure, which induces a considerable resistance to CO2 release. The results show that sample B (CH4 + CO2 + N2) displays higher diffusion coefficient values (this behaviour is mainly related to the presence of N2) than sample C (CH4) and than Sample A (CO2).info:eu-repo/semantics/publishedVersio

Veiros, uma localidade da Mesa Mestral da Ordem de Avis, objeto de uma sentença de D. João III (1531)

This paper aims to study a sentence from King John III, issued in 1531. The process guides us through a jurisdictional process about Veiros. The King’s mediation regarding the control over seigniorial and council jurisdictions, in the present case, situated within a territory administrated by the Military Order of Avis and by its Governor, D. Jorge. Our fundamental aim, besides explaining the structure of the judicial process in itself, is to explain the logic behind the royal decision influenced by the status of the this locality, by the chronology of the dispute, when relations between the crown and the Military Orders were headed for total control of the monarchy, by the importance of Mendoza who provided the alcaide (warlord) for the fortress and by the geopolitical positioning of Veiros, which justifies the military matters. This frame of references explains why John III decided in favour of the Order and against the municipality

A simplified strategy to measure glucose release in cooked rice samples

info:eu-repo/semantics/publishedVersio

Um estudo sobre a influência das características sociodemográficas e do excesso de confiança nas decisões dos investidores, analistas e profissionais de investimento à luz das Finanças Comportamentais

ABSTRACTBehavioral Finance is a new field of study that counteracts the assumption of the rationality on the part of decision makers, which is adopted by modern finance. One of the aspects of studies in behavioral finance is to identify how emotions and cognitive failures may influence the decision making process of individuals. In this context, this study aims to ascertain whether the decisions of investors, analysts and investment professionals are influenced by a bias of overconfidence and the socio-demographic characteristics of these individuals. As a methodology, it was decided to conduct a study with a descriptive quantitative and qualitative approach. Therefore a field survey was carried to out to collect data with an online questionnaire. The method of sampling by judgment was applied, which is characterized by the non-probabilistic collection of samples from individuals registered with the Association of Investment Analysts and Professionals of the Capital Market in Minas Gerais (APIMEC-MG), as well as individuals registered with TBC Investments. This group consisted of 810 individuals who provided 398 valid questionnaires. Data was analyzed by using the estimation methods of Two-Stage Least Squares (2SLS) and Ordinary Least Squares (OLS), with correction for finite population and the results were compared. They showed that differences of opinion, style and perception of the reality, motivated by personal and investment characteristics and the susceptibility to the bias of the overconfidence of the agents, exert a significant impact on decision making