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Federico-Tena World Population Historical Database : Brazil
No full textProject developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Brazi
Federico-Tena World Population Historical Database : Bahamas
No full textProject developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Bahama
A dataset description for the preliminary evaluation of type 2 food allergy correlating symptomatology, body composition, physical activity and antibody titers of food-specific immunoglobulin G subclass 4 in Spanish adults
No full text3. Description of the project
There is a current growing health public problem of individuals who are not able to tolerate all foods, meaning that they cannot ingest, digest, absorb and metabolise some specific foods or food components without adverse clinical reactions. Some studies have recently reported clinical-related diseases to immunoglobulin G subclass 4 antibodies such as, intestinal permeability (IP), irritable bowel syndrome (IBS), ulcerative colitis (UC), Crohn's disease (CD); and related-symptoms such as skin and subcutaneous tissue, digestive or gastrointestinal and nervous system related. The aim of this study is to analyse the correlation between symptomatology, body composition, physical activity (PA) and food-specific antibody response in a specific Spanish population with subjective symptoms of general adverse reactions to foodstuffs.
4. Description of the dataset
Spanish sample with subjective signs and symptoms of general adverse reactions to foodstuffs.
Description of variables:
General.- anonymised codes of participant, sex, age and height.
Symptomatology.- skin and subcutaneous tissue, digestive or gastrointestinal and nervous system, number of symptoms.
Body composition.- weight in kg, fat free weight in kg, fat mass percentage, muscular mass in kg, skeletal muscle in kg, protein percentage, bone mass in kg, body water percentage, body mass index in kg/m2, basal metabolic rate (BMR) in Kcal and metabolic age.
Food antigen Aesku.diagnostics point-of-care (POC) panel.- wheat, rye, barley, oat, grain mix A (buckwheat, amaranth and quinoa), grain mix B (corn and rice), gluten, peanut, hazelnut, almond, banana, fruit mix A (lemon and orange), fruit mix B (strawberry, grape and peach), apple, pineapple, kiwi fruit, egg white, egg yolk, casein, cow's milk, goat's milk, sheep's milk, cod, fish mix (salmon and trout), tuna, seafood mix (shrimp, squid and octopus), tomato, legume mix (pea and green bean), vegetable mix A (carrot and celery), vegetable mix B (cabbage and broccoli), tuber mix (garlic, onion and leek), lamb or mutton, meat mix A (pork and beef), meat mix B (chicken and turkey), potato, soy, yeast mix (baker's yeast and brewer's yeast), cocoa, coffee and mustard. All expressed in IgG4 antibody titers (levels 1, 2 and 3).
Physical activity.- Accomplishment of the World Health Organisation (WHO) recommendations, low physical activity, moderate physical activity, high physical activity and sitting time in minutes per week.
1. Methodology
Protocol registered in clinical trial: https://beta.clinicaltrials.gov/study/NCT05681975</p
Federico-Tena World Population Historical Database : Sarawak
No full textProject developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Sarawa
Federico-Tena World Population Historical Database : Hungary
No full textProject developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Hungar
Federico-Tena World Population Historical Database : Australia
No full textProject developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Australi
Federico-Tena World Population Historical Database : Seychelles
No full textProject developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Seychelle
Grupo de 4 informantes. (Olivenza). La familia
No full textLas familias eran muy amplias. ¿Cómo se criaban los niños? El trabajo de las mujeres.As famílias eram muito numerosas. Como é que eram criadas as crianças? O trabalho das mulheres.Families were very large. How were children brought up? Women's work
Servando Rodríguez. (San Jorge de Alor). Naturaleza y agricultura
No full textNombres de insectos, anfibios, reptiles y algún mamífero. Herramientas y aperos. Productos de la huerta y árboles frutales. El informante contrasta la designación oliventina con el castellano y portugués estándar.Nomes de insectos, anfíbios, répteis e alguns mamíferos. Ferramentas e alfaias. Produtos de jardim e árvores de fruto. O informante contrasta a designação oliventina com a castelhana e portuguesa padrão.Names of insects, amphibians, reptiles and some mammals. Tools and implements. Garden products and fruit trees. The informant contrasts the Oliventine designation with standard Castilian and Portuguese
Servando Rodríguez. (San Jorge de Alor). Portugués de Olivenza (II)
No full textLa tendencia al cambio de idioma está muy extendida. Se ha visto alguna vez en las relaciones amorosas de las generaciones anteriores al informante, donde era frecuente que un hablante de portugués cambiase de idioma al comenzar otra relación. Ejemplos de cambio lingüístico. El informante narra cómo un día en su aldea quedaron asombrados al oír hablar portugués a un niño, porque tenían interiorizado que era lengua de los mayores.A tendência para mudar a língua é generalizada. Por vezes tem sido visto nas relações amorosas das gerações anteriores ao informante, onde era comum que um falante de português mudasse de língua ao iniciar a relação. Exemplos de mudança linguística. O informante conta como um dia na sua aldeia ficaram surpreendidos ao ouvir uma criança falar português, porque tinham interiorizado que era a língua dos mais velhos.The tendency to linguistic shift is widespread. It has sometimes been seen in the love relationships of the generations before the informant, where it was common for a speaker of Portuguese to change language when starting another relationship. Examples of linguistic change. The informant recounts how one day in his village they were astonished to hear a child speak Portuguese, because they had internalised that it was the language of the elders