Examining retirement housing preferences among international retiree migrants

Housing demand models based on individual consumer’s utility function reflect preferences about the structure and lot, neighborhood, and location as related to socioeconomic characteristics of the occupants. As a growing proportion of aging residents in many countries are undertaking late life moves, their preferences will have an influence on destination housing markets. We examine the characteristics, attitudes and preferences about retirement housing among immigrant retirees currently living in traditional housing in a retirement destination in Alicante, Spain. Using results from a survey of German and British retirees living in the region, we find through logistic regression that preference for retirement housing is associated with aging and gaining access to in-home support services.

Artificial nutritional support registries: systematic review

Introduction: The nutritional registries are data bases through which we obtain the information to understand the nutrition of populations. Several main nutrition societies of the world have these types of registries, outstanding the NADYA (Home artificial and Ambulatory nutrition) group in Spain. The object of this study is to determine by means of a systematic review, the existent scientific production in the international data bases referred to nutritional support registries. Methods: Descriptive transversal study of the results of a critical bibliographic research done in the bioscience data bases: MEDLINE, EMBASE, The Cochrane Library, ISI (Web of Sciences), LILACS, CINHAL. Results: A total of 20 original articles related to nutritional registries were found and recovered. Eleven registries of eight countries were identified: Australia, Germany, Italy, Japan, Spain, Sweden, United Status and United Kingdom. The Price Index was of 65% and all the articles were published in the last 20 years. Conclusions: The Price Index highlights the innovativeness of this practice. The articles related to nutritional support are heterogeneous with respect to data and population, which exposes this as a limitation for a combined analysis.