Literature DB >> 11696304

[International Study of Asthma and Allergies in Childhood (ISAAC) Phase II: Methodology and results of the participation rate in Spain].

L García-Marcos Alvarez1, A Martínez Torres, J Batlles Garrido, M Morales Suárez-Varela, G García Hernández, A Escribano Montaner.   

Abstract

BACKGROUND: The ISAAC phase I results have supplied valuable information on the prevalence of asthma and allergy in childhood throughout the world.
OBJECTIVES: To describe the implementation and participation rate of normal children in each test performed in phase II of the ISAAC in the four Spanish cities participating the study, and to establish the influence of type of school and geographical situation (in a polluted or unpolluted area) in Cartagena.
METHODS: The ISAAC phase II included a questionnaire on symptoms, risk factors and treatment, skin examination, skin-prick test, bronchial challenge test, total and specific IgE measurement, as well as mite and bacterial endotoxin determination in house dust. The questionnaire was distributed with a letter requesting authorization from the parents in primary schools (fourth and fifth grades) in sufficient number to achieve approximately 1,000 skin prick-test authorizations in each city.
RESULTS: The participation rate for the questionnaire, skin examination, skin-prick test, blood extraction, bronchial challenge test, and dust collection was, respectively, for each city: Cartagena: 58.9, 49.2, 43.2, 33.1, 39.9 and 29.8 %; Almería: 42.5, 40.6, 39.1, 39.1 and 37.6 %; Valencia: 43.7, 30.4, 23.5, 21.5, 20.1 and 17.1 %; Madrid: 53.2, 40.8, 38.6, 27.6, 30.6 and 21.1 %. In Cartagena, participation was significantly higher in private schools receiving a state subsidy and in those in unpolluted areas.
CONCLUSIONS: The participation rate was highly variable and lower than that among the European centres that have already completed the study. The rate was significantly influenced by geographical area and type of school.

Entities:  

Mesh:

Year:  2001        PMID: 11696304

Source DB:  PubMed          Journal:  An Esp Pediatr        ISSN: 0302-4342


  2 in total

Review 1.  Distinguishing Asthma Phenotypes Using Machine Learning Approaches.

Authors:  Rebecca Howard; Magnus Rattray; Mattia Prosperi; Adnan Custovic
Journal:  Curr Allergy Asthma Rep       Date:  2015-07       Impact factor: 4.806

2.  [Factors associated with asthma in children and adolescents in rural areas of Navarre (Spain)].

Authors:  Itsaso Elizalde-Beiras; Francisco Guillén-Grima; Inés Aguinaga-Ontoso
Journal:  Aten Primaria       Date:  2017-09-19       Impact factor: 1.137

  2 in total

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