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1.
Aging Male ; 22(2): 102-108, 2019 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-29542389

RESUMO

In Europe, countries following the traditional Mediterranean Diet (MeDi), particularly Southern European countries, have lower prostate cancer (PCa) incidence and mortality compared to other European regions. In the present study, we investigated the association between the MeDi and the relative risk of PCa and tumor aggressiveness in a Spanish population. Among individual score components, it has been found that subjects with PCa were less likely to consume olive oil as the main culinary fat, vegetables, fruits and fish than those without. However, these differences were not statistically significative. A high intake of fruit, vegetables and cooked tomato sauce Mediterranean style (sofrito) was related to less PCa aggressiveness. Results showed that there are no differences in the score of adherence to the Mediterranean dietary patterns between cases and controls, with mean values of 8.37 ± 1.80 and 8.25 ± 2.48, respectively. However, MeDi was associated with lower PCa agressiveness according to Gleason score. Hence, relations between Mediterranean dietary patterns and PCa are still inconclusive and merit further investigations. Further large-scale studies are required to clarify the effect of MeDi on prostate health, in order to establish the role of this diet in the prevention of PCa.


Assuntos
Dieta Mediterrânea , Invasividade Neoplásica/prevenção & controle , Neoplasias da Próstata/prevenção & controle , Idoso , Estudos de Casos e Controles , Inquéritos sobre Dietas , Humanos , Masculino , Pessoa de Meia-Idade , Neoplasias da Próstata/epidemiologia , Fatores de Proteção , Medição de Risco , Espanha/epidemiologia
2.
Rev. esp. nutr. comunitaria ; 21(supl.1): 168-175, 2015. tab, ilus
Artigo em Espanhol | IBECS | ID: ibc-150121

RESUMO

La conversión de consumo de alimentos a ingesta de nutrientes necesita una base de datos de composición de alimentos (FCDB) que recoge los valores nutricionales medios de una porción dada de alimento. Las limitaciones de las FCDBs son, en ocasiones, poco conocidas por los usuarios. Los estudios multicéntricos han planteados varios retos metodológicos que permitan estandarizar la composición de alimentos y la ingesta de nutrientes para la evaluación nutricional en diferentes poblaciones y áreas geográficas. Las diferencias entre FCDBs incluyen las atribuibles a aspectos técnicos, como la descripción de los alimentos, cálculo de energía y definición de los nutrientes, métodos analíticos y principios para el cálculo de recetas. Estas diferencias necesitan ser identificadas y eliminadas antes de comparar los datos obtenidos de diferentes estudios, especialmente cuando dichos datos dietéticos se relacionan con resultados de salud. Desde 1984 se han realizado diversas iniciativas para estandarizar los FCDBs en el mundo (INFOOD, EPIC, EUROFIR, etc.). Los datos de composición de alimentos pueden ser obtenidos de diferentes fuentes como análisis de empresas privadas, universidades, laboratorios gubernamentales e industria alimentaria. También pueden tomarse prestados de la literatura científica o incluso del etiquetado nutricional. Existen diferentes propuestas para evaluar la calidad de los datos de composición de alimentos. Para el desarrollo de una FCDB es fundamental documentar, lo más detallado posible, cada uno de los valores de los diferentes componentes y nutrientes de un alimento. El objetivo de la AECOSAN y la asociación BEDCA fue el desarrollo y mantenimiento en España de una FCDB de acuerdo con los estándares definidos para Europa. BEDCA es actualmente la única FCDB desarrollada en España con datos compilados y documentados siguiendo los estándares de EuroFIR (AU)


Food composition databases (FCDBs) provide detailed information about the nutritional composition of foods. The conversion of food consumption into nutrient intake need a Food composition database (FCDB) which lists the mean nutritional values for a given food portion. The limitations of FCDBs are sometimes little known by the users. Multicentre studies have raised several methodology challenges which allow to standardize nutritional assessments in different populations and geographical areas for food composition and nutrient intake. Differences between FCDBs include those attributed to technical matters, such as description of foods, calculation of energy and definition of nutrients, analytical methods, and principles for recipe calculation. Such differences need to be identified and eliminated before comparing data from different studies, especially when dietary data is related to a health outcome. There are ongoing efforts since 1984 to standardize FCDBs over the world (INFOODS, EPIC, EuroFIR, etc.). Food composition data can be gathered from different sources like private company analysis, universities, government laboratories and food industry. They can also be borrowed from scientific literature or even from the food labelling. There are different proposals to evaluate the quality of food composition data. For the development of a FCDB it is fundamental document in the most detailed way, each of the data values of the different components and nutrients of a food. The objective of AECOSAN (Agencia Española de Consumo Seguridad Alimentaria y Nutrición) and BEDCA (Base de Datos Española de Composición de Alimentos) association was the development and support of a reference FCDB in Spain according to the standards to be defined in Europe. BEDCA is currently the only FCDB developed in Spain with compiled and documented data following EuroFIR standards (AU)


Assuntos
Humanos , Masculino , Feminino , Ingestão de Energia/fisiologia , Ingestão de Alimentos/fisiologia , Composição de Alimentos , Bases de Dados como Assunto/estatística & dados numéricos , Bases de Dados como Assunto/normas , 24457 , Nutrientes/estatística & dados numéricos , Bases de Dados como Assunto/classificação , Bases de Dados como Assunto/organização & administração , Navegador/estatística & dados numéricos , Serviços de Informação/estatística & dados numéricos , Serviços de Informação/normas , Processamento Eletrônico de Dados/organização & administração , Processamento Eletrônico de Dados/estatística & dados numéricos , Sistemas de Informação/estatística & dados numéricos , Sistemas de Informação/normas
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