Introducción: el objetivo de este trabajo es conocer cómo el bienestar evoluciona con la edad una vez llegados al período de la vejez y si existen cambios en esta variable tan relacionada con la calidad de vida. Material y método: se aplicó a una muestra de 169 personas de más de 65 años la Life Satisfaction Index (LSI) y la escala de bienestar de Ryff; se realizaron regresiones lineales simples y curvilíneas para ver su relación con la edad. Resultados: las correlaciones de Pearson mostraron que parece existir una relación de disminución, tanto del bienestar como indicador global, y de tres de sus dimensiones, con la edad. Por otra parte, la satisfacción vital muestra como mejor ajuste el cuadrático, lo que indica que, mientras en los primeros años de la vejez efectivamente hay una disminución, a partir de los 85 años se produce un repunte de la satisfacción vital. Conclusiones: el aumento de estrategias adaptativas de carác-ter acomodativo se presupone como causa del descenso de los indicadores más propios del bienestar psicológico. Por otra parte, el aumento de la longevidad y su relación con variables de salud, competencia y relaciones pueden estar generando un aumento de la satisfacción por las características diferenciales de la propia muestra. Palabras claveBienestar. Satisfacción vital. Vejez. Envejecimiento con éxito. An analysis of well-being and age in the elderlyIntroduction: well-being is a key construct for understanding quality of life. The aim of the present study was to analyze how well-being changes in old age and to determine if there are any modifications in this variable during this period. Material and methods: the LIS and EBR scales were applied to a sample of 169 persons aged more than 64 years. Linear and curvilinear regressions were estimated to understand the associations among age, well-being and life satisfaction.Results: pearson correlations showed statistically significant negative relations among age and environmental mastery, personal growth, purpose in life, and overall well-being. However, life satisfaction showed a curvilinear, quadratic relation with age, revealing that this dimension decreases in the first few years of old age but increases again after the age of 85 years. Conclusions: the decrease in several well-being factors could be caused by the increase in adaptive accommodation strategies. Increased longevity, together with better health, competence and relationships could potentially explain the increase in life satisfaction among the oldest population.

This work presents an observational scale which takes into account different observable indicators of discomfort of patients in end-of-life situations with difficulties in communicating due to cognitive impairment, fatigue or sedation and provides details of its validation. In all, 71 adults participated. Model fit was adequate ( χ(27) = 43.28, p = .024, comparative fit index = .975, root mean square error of approximation = .092 and confidence interval 90% (.033-.140)). Alpha coefficient was .70 and composite reliability index was .90. Our study provides data regarding the properties of a discomfort assessment scale. Such a scale is needed and could be very useful for the evaluation of such patients and thus to attend to their needs.

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RESUMENDe las dimensiones de la calidad de vida -psicológicas, físicas y sociales-, se analizaron las relaciones entre las dos primeras. Como medida de ABVD se utilizó el Índice de Barthel y, para el bienestar, la LSI-A y las Escalas de Ryff. Se aplicaron a una muestra de 176 jubilados de la provincia de Valencia. Se realizaron correlaciones de Pearson y regresiones jerárquicas, encontrándose relaciones positivas entre el Índice de Barthel y el dominio del ambiente y la satisfacción general, y negativas con el factor relaciones positivas con otros. Además, las variables predictoras del Índice de Barthel son las propias del bienestar subjetivo. PALABRAS CLAVEBienestar psicológico, bienestar subjetivo, actividades básicas de la vida diaria, calidad de vida. (Spain). Pearson's correlations and hierarchical multiple regressions were estimated to analyze the relationships among physical activity, well-being and life satisfaction. Positive relations were found among Barthel's index, life satisfaction and environmental mastery. There were negative relationships between Barthel's index and positive relationships with others, a factor of well-being. Overall, subjective well-being factors were more related to physical activity than either life satisfaction or other well-being factors. SUMMARY Psychological and physical dimensions of life quality were analyzed, and their interrelationships tested. Physical dimension of life quality was measured with Barthel's index of daily life activities. Psychological dimension of life quality was measured with Ryff's scales of well-being, plus Life Satisfaction Index form A. A sample of 176 retired people was interviewed. All participants lived in Valencia province KEY WORDSPsychological well-being, subjective well-being, basic activities of daily living, quality life.

Climate change is expected to increase in the future in the Mediterranean region, including Algeria. The Tafna basin, vulnerable to drought, is one of the most important catchments ensuring water self-sufficiency in northwestern Algeria. The objective of this study is to estimate the evolution of hydrological components of the Tafna basin, throughout 2020–2099, comparing to the period 1981–2000. The SWAT model (Soil and Water Assessment Tool), calibrated and validated on the Tafna basin with good Nash at the outlet 0.82, is applied to analyze the spatial and temporal evolution of hydrological components, over the basin throughout 2020–2099. The application is produced using a precipitation and temperature minimum/maximum of an ensemble of climate model outputs obtained from a combination of eight global climate models and two regional climate models of Coordinated Regional Climate Downscaling Experiment project. The results of this study show that the decrease of precipitation in January, on average −25%, ranged between −5% and −44% in the future. This diminution affects all of the water components and fluxes of a watershed, namely, in descending order of impact: the river discharge causing a decrease −36%, the soil water available −31%, the evapotranspiration −30%, and the lateral flow −29%.

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