Tablas y bases de datos de composición de alimentos españolas: necesidad de un referente para los profesionales de la salud / Spanish food composition tables and databases: need for a gold standard for healthcare professionals

Las tablas y las bases de datos de composición de alimentos (TCA o BDCA) proporcionan la información necesaria para estimar la ingesta de nutrientes y otros componentes alimentarios. En España la falta de una base de datos de referencia ha propiciado el uso de diferentes TCA/BDCA en encuestas nutricionales y estudios de investigación, así como en el desarrollo de programas dietéticos para el análisis de dietas. En consecuencia, se obtienen resultados sesgados y no comparables, y pocas veces el profesional sanitario es consciente de estas limitaciones. La AECOSAN y la asociación BEDCA desarrollaron una BDCA siguiendo estándares europeos, la Red Española de Bases de Datos de Composición de Alimentos (RedBEDCA). La base de datos actual tiene un número reducido de alimentos y componentes de alimentos y apenas contiene productos procesados, lo que limita su utilización en estudios epidemiológicos y en la práctica diaria del profesional de la salud

Food composition tables and databases (FCTs or FCDBs) provide the necessary information to estimate intake of nutrients and other food components. In Spain, the lack of a reference database has resulted in use of different FCTs/FCDBs in nutritional surveys and research studies, as well as for development of dietetic for diet analysis. As a result, biased, non-comparable results are obtained, and healthcare professionals are rarely aware of these limitations. AECOSAN and the BEDCA association developed a FCDB following European standards, the Spanish Food Composition Database Network (RedBEDCA).The current database has a limited number of foods and food components and barely contains processed foods, which limits its use in epidemiological studies and in the daily practice of healthcare professionals

Spanish food composition tables and databases: need for a gold standard for healthcare professionals. / Tablas y bases de datos de composición de alimentos españolas: necesidad de un referente para los profesionales de la salud.

Food composition tables and databases (FCTs or FCDBs) provide the necessary information to estimate intake of nutrients and other food components. In Spain, the lack of a reference database has resulted in use of different FCTs/FCDBs in nutritional surveys and research studies, as well as for development of dietetic for diet analysis. As a result, biased, non-comparable results are obtained, and healthcare professionals are rarely aware of these limitations. AECOSAN and the BEDCA association developed a FCDB following European standards, the Spanish Food Composition Database Network (RedBEDCA).The current database has a limited number of foods and food components and barely contains processed foods, which limits its use in epidemiological studies and in the daily practice of healthcare professionals.

Web Support for Weight-Loss Interventions: PREDIRCAM2 Clinical Trial Baseline Characteristics and Preliminary Results.

An ongoing clinical trial is testing the efficacy of web telematic support in a structured program for obesity treatment and diabetes prevention. Participants were recruited from two tertiary-care hospitals and randomized to receive either a telematic intervention (TI) supported by PREDIRCAM2 web platform or a non-telematic intervention (NTI). All receive 1-year follow-up. Both interventions consist of tailored dietary and exercise prescriptions, based on a Mediterranean dietary pattern and general WHO exercise recommendations for adults. At 6 months, both groups have received 7 contacts, 3 exclusively telematic for the TI group. This is a preliminary result intention-to-treat analysis. One hundred eighty-three participants were recruited, with a mean body mass index of 34.75 ± 2.75 kg/m2. General dropout rate at 6 months was 26.8%. Weight changes were statistically significant at months 3 and 6 compared to baseline, -2.915 ± 0.24 kg, -3.29 ± 0.36 kg, respectively (P < 0.001), but not statistically significant between the 3- and 6-month time points -0.37 ± 0.21 kg (P = 0.24). Mean group differences showed that the TI group lost 1.61 ± 1.88 kg more than the NTI group (P = 0.39). Waist, waist/hip ratio, resting heart rate, blood pressure, HbA1c, and low-density lipoprotein cholesterol also showed statistically significant changes at 6 months, with no significant differences between groups. Weight loss in the TI group shows similar results as the usual care NTI group for weight loss and control of obesity comorbidities. At completion of the clinical trial, these results will be reevaluated to assess the potential role of web support in weight-loss maintenance and its cost-effectiveness.

Metabolomic pattern analysis after mediterranean diet intervention in a nondiabetic population: a 1- and 3-year follow-up in the PREDIMED study.

The Mediterranean diet (MD) is considered a dietary pattern with beneficial effects on human health. The aim of this study was to assess the effect of an MD on urinary metabolome by comparing subjects at 1 and 3 years of follow-up, after an MD supplemented with either extra-virgin olive oil (MD + EVOO) or nuts (MD + Nuts), to those on advice to follow a control low-fat diet (LFD). Ninety-eight nondiabetic volunteers were evaluated, using metabolomic approaches, corresponding to MD + EVOO (n = 41), MD + Nuts (n = 27), or LFD (n = 30) groups. The (1)H NMR urinary profiles were examined at baseline and after 1 and 3 years of follow-up. Multivariate data analysis (OSC-PLS-DA and HCA) methods were used to identify the potential biomarker discriminating groups, exhibiting a urinary metabolome separation between MD groups against baseline and LFD. Results revealed that the most prominent hallmarks concerning MD groups were related to the metabolism of carbohydrates (3-hydroxybutyrate, citrate, and cis-aconitate), creatine, creatinine, amino acids (proline, N-acetylglutamine, glycine, branched-chain amino acids, and derived metabolites), lipids (oleic and suberic acids), and microbial cometabolites (phenylacetylglutamine and p-cresol). Otherwise, hippurate, trimethylamine-N-oxide, histidine and derivates (methylhistidines, carnosine, and anserine), and xanthosine were predominant after LFD. The application of NMR-based metabolomics enabled the classification of individuals regarding their dietary pattern and highlights the potential of this approach for evaluating changes in the urinary metabolome at different time points of follow-up in response to specific dietary interventions.