Objective: The current study investigated the prevalence of white-coat hypertension (WCH) and white-coat uncontrolled hypertension (WUCH) throughout the age spectrum among individuals with office isolated systolic hypertension (ISH), isolated diastolic hypertension (IDH) and systolic–diastolic hypertension (SDH) who were untreated or treated with antihypertensive medications, respectively. Methods: We cross-sectionally evaluated 8809 untreated (42% males, 52.1 ± 16.2 years) and 9136 treated (39% males, 59.7 ± 14.5 years) individuals from two independent Brazilian populations who underwent home blood pressure monitoring. Participants were also categorized as younger (<40 years), intermediate (≥40 and <60 years) and older (≥60 years) age. Results: Unadjusted and adjusted analyses showed that the frequency of WCH and WUCH was significantly greater (P < 0.05) in ISH and IDH than SDH at all age groups. Logistic regression analysis adjusted for sex, BMI and studied population showed that, compared with SDH, ISH had in average 4.1, 3.1 and 1.6-fold greater risk of WCH and 3.3, 3.6 and 2.0-fold greater risk of WUCH at younger, intermediate and older ages, whereas IDH had in average 2.3, 2.6 and 2.0-fold greater risk of WCH and 3.8, 3.2 and 3.8-fold greater risk of WUCH at younger, intermediate and older ages, respectively. Conclusion: ISH and IDH were associated with higher prevalence of WCH and WUCH than SDH across all age spectrum. In addition, treated and untreated ISH individuals with age less than 60 years and treated IDH individuals of all ages had the highest risk of having WCH phenotypes.

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Reservoirs are fundamental for water and energy supply but vulnerable to impacts including climate change. This paper outlines the steps in the development of a model to predict how climate, land use and hydrological change could affect the physiochemical and ecological quality of reservoirs in Portugal's Douro region. Climatic data will be downscaled for subsequent finer spatial scale models to develop scenarios and outputs. Field observations and satellite imagery analysis will create dynamic maps providing data on change in land use and vegetation cover, while Artificial Neural Networks will determine how climate, land use and vegetation cover change may influence catchment hydrology. Data from field surveys of biological indicators, greenhouse gas emissions plus additional research will be applied in the Stochastic Dynamic Methodology, a sequential modelling process based on statistical parameter estimation, developed to predict and model physiochemical and ecological changes in reservoirs. This interdisciplinary approach will provide vital modelling tools for end users essential for water resource management in Portugal and to comply with the EU Water Framework Directive. ReferencesAllan J D, Erickson D L and Fay J 1997 The influence of catchment land use on stream integrity across multiple spatial scales Freshwater Biology 37 149-61 Andrade C, Santos J A, Pinto J G and Corte-Real J 2011 The wet 2010 winter in Portugal: hydrological impacts and large-scale atmospheric dynamics Climate Research 46 29-41 A 2012 Testing a novel spatially-explicit dynamic modelling approach in the Figure 5 A flow diagram of the separate modules that will contribute to the development of the predictive model 440 Hughes et al.

This paper puts forward the importance of decision support systems (DSS) for the planning and management of water resources. A case study of the Pinhão river basin, in Portugal, is presented. Given the importance of vineyards in the Douro region, it is important to determine if water availability will be enough to meet present and future water demands. In order to answer this question, DSS tools were used to assess different scenarios. The MIKE BASIN software was used in the hydrographical basin of Pinhão river, assisted by a geographic information system, GIS, which allowed the modelling of the basin, both temporally and spatially, facilitating the visualisation and interpretation of results. According to the attained results, it was verified that, at present, the hydrographical basin meets the considered water needs. The DSS proved to be an important tool to assist the decision-making process in the studied river basin.

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