Resultados de investigación

In order to estimate the nutrients intake from the food consumption module of the 2015/2016 Kenya Integrated Household Budget Survey (KIHBS), each of the food items reported in that module is matched with a food item in the Food Composition Table (FCT) or Food Database (FDB) of choice, and nutrients composition are then compiled in what is called the nutrition conversion table (NCT).

[EN] Objective: We aimed to estimate regional inequalities in excess deaths and premature mortality in Spain during 2020 and 2021, before high vaccination coverage against COVID-19. Methods: With data from the National Institute of Statistics, within each region, sex, and age group, we estimated the excess deaths, the change in life expectancy at birth (e0) and age 65 (e65) and years of life lost as the difference between the observed and expected deaths using a time series analysis of 2015-2019 data and life expectancies based on Lee-Carter forecasting using 2010-2019 data. Results: From January 2020 to June 2021, an estimated 89,200 (men: 48,000; women: 41,200) excess deaths occurred in Spain with a substantial regional variability (highest in Madrid: 22,000, lowest in Canary Islands: -210). The highest reductions in e_0 in 2020 were observed in Madrid (men: -3.58 years, women: -2.25), Castile La Mancha (-2.72, -2.38), and Castile and León (-2.13, -1.39). During the first half of 2021, the highest reduction in e_0 was observed in Madrid for men (-2.09; -2.37 to -1.84) and Valencian Community for women (-1.63; -1.97 to -1.3). The highest excess years of life lost in 2020 was in Castile-La Mancha (men: 5370; women: 3600, per 100 000). We observed large differences between reported COVID-19 deaths and estimated excess deaths across the Spanish regions. Conclusions: Regions performed highly unequally on excess deaths, life expectancy and years of life lost. The investigation of the root causes of these regional inequalities might inform future pandemic policy in Spain and elsewhere. [ES] Objetivo: Estimar las desigualdades regionales en exceso de muertes y mortalidad prematura en España entre enero de 2020 y junio de 2021, antes de la vacunación poblacional masiva contra la COVID-19. Métodos: Con datos del Instituto Nacional de Estadística, se estimaron el exceso de muertes con respecto a las muertes esperadas por regiones, sexos y grupos de edad, el cambio en la esperanza de vida al nacer (e_0) y a los 65 años (e65) y los años de vida perdidos, mediante series temporales (2015-2019) y el pronóstico de Lee-Carter (2010-2019). Resultados: En el periodo del estudio, el exceso de muertes fue de 89.200 (hombres, 48.000; mujeres, 41.200), con una gran variabilidad regional (desde Madrid, 22.000, hasta las Islas Canarias, -210). Las mayores reducciones de e_0 en 2020 fueron en Madrid (hombres, -3,58 años; mujeres, -2,25), Castilla La Mancha (-2,72; -2,38) y Castilla y León (-2,13; -1,39) y en el primer semestre de 2021, en Madrid (hombres, -2,09; -2,37 a -1,84) y en la Comunidad Valenciana (mujeres, -1,63; -1,97 a -1,3). El mayor exceso de años de vida perdidos en 2020 se produjo en Castilla-La Mancha (hombres, 5.370; mujeres, 3.600, por 100.000). Hubo grandes diferencias entre las muertes por COVID-19 notificadas y el exceso de muertes. Conclusiones: Hubo enormes desigualdades regionales en el exceso de muertes, la esperanza de vida y los años de vida perdidos. La determinación de las causas fundamentales de estas desigualdades podría servir para mejorar las políticas de salud pública en pandemias futuras.

This dataset includes the raw data included in the publication.

[EN] This project investigates the effects of polystyrene nanoplastics on aquatic organisms using Daphnia magna as a model, aiming to understand how individual-level exposure impacts key biological functions and may have broader ecological implications. [ES] Este proyecto investiga los efectos de nanoplásticos de poliestireno en organismos acuáticos utilizando Daphnia magna como modelo, con el objetivo de comprender cómo la exposición a nivel individual puede afectar funciones biológicas clave y tener implicaciones ecológicas.

It includes the nutrients composition of food items reported in the food composition module of the 2018/2019 NLSS and GHS.

Social engagement (SE) has been consistently shown to improve survival among community- dwelling older people, but the evidence in nursing home residents is inconclusive and prone to short-term reverse causation and confounding by major health determinants. A representative cohort of 382 nursing home residents in Madrid without severe physical and cognitive impairments at baseline was followed up for 10-year all-cause mortality. Standardized

This dataset accompanies a study assessing whether a decision tree and its glossary improve the classification of study designs based solely on abstract information. Two groups of evaluators, comprised mainly of pathologists and epidemiologist, each individually classified 100 references twice: first without the tool and then using it. Agreement between the two rounds was compared overall and by professional profile. A secondary objective was to gather users’ evaluations of the tool and its usability. The dataset includes information on evaluators’ professional and academic backgrounds, their classifications with and without the tool, and their user-based assessment of the tool.

Dataset que incluye: "NBPP_ProteinAbundance_rawdata.tsv" principal file containing LC-MS/MS data for the identification as well as quantitative abundance of all proteins in the elution after binding to pLD-resin, PNA-resin, or control resin. "NBPP_suppl_table_1.tsv" (Supplementary Material Table S1) containing the list of proteins exclusively eluted from pLD and/or PNA resins, or with >= 2 fold enrichment compared to control resin. "NBPP_suppl_table_2_enrichment.Process.tsv" (Supplementary Material Table S2) containing data of “enrichment process” generated by STRING for functional analysis of NBPPs. "NBPP_suppl_table_3_enrichment.DISEASES_.tsv" (Supplementary Material Table S3) containing data of DOID (Disease Ontology ID) generated by “Disease Ontology” analysis of NBPPs identified.

Imaging: representative micrographs used to do the metrics of the minilungs. Supplemental methods: differentiation of hPSCs.