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

  1. Pantoja-Arévalo, Lisset 1
  2. Gesteiro, Eva 1
  3. Matthias, Torsten 2
  4. Urrialde, Rafael 3
  5. González-Gross, Marcela 1
  1. 1 Universidad Politécnica de Madrid
    info

    Universidad Politécnica de Madrid

    Madrid, España

    ROR https://ror.org/03n6nwv02

  2. 2 (AESKU.GROUP)
  3. 3 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

Editor: e-cienciaDatos

Ano de publicación: 2023

Tipo: Dataset

Resumo

3. 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