• Title of article

    Prediction equations for spirometric parameters in Mexican adult population

  • Author/Authors

    Cruz-Mérida، نويسنده , , Aarَn Juan and Soto-de la Fuente، نويسنده , , Andrés Eduardo and Méndez-Vargas، نويسنده , , Marيa Martha and Méndez-Ramيrez، نويسنده , , Ignacio، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2004
  • Pages
    4
  • From page
    446
  • To page
    449
  • Abstract
    Background jective was to develop prediction equations for spirometric parameters that included the following: forced vital capacity (FVC); 1st-sec forced expiratory volume (FEV1); FEV1/FVC ratio; peak expiratory flow (PEF); maximal expiratory flow 50% FVC (VF50) and maximal expiratory flow 75% FVC (VF75); maximal mid-expiratory flow (FEF25–75), and forced late expiratory flow rate (FEF75–85) in a sample of adult Mexican population of both sexes. Age and height variables were utilized. s etric studies were carried out, observing the international recommendations and norms in force and effected under basal conditions and post-bronchodilator. Linear regression equations were generated based on gender, age, and height. For each spirometric parameter, we selected a linear model. Studies were carried out with spirometry that was in agreement with quality criteria recommended by the American Thoracic Society (ATS). Bronchodilatator administration allowed for elimination of subjects with subclinical bronchial hyperreactivity s died 436 patients with normal clinical radiographic and pulmonary function, with negative smoking and age range between 17 and 63 years; 206 were females and 230, males. Linear regression equations obtained had direct linear correlation with height and inverse linear correlation with age; in addition, equations had a determination coefficient equal to or less than those reported by authors recommended by the ATS. sions ons obtained in this study possessed the quality required for application in adult Mexican population exposed or not to occupational and environmental contaminants.
  • Keywords
    prediction equations , Spirometric parameters , Adult Mexican population
  • Journal title
    Archives of Medical Research
  • Serial Year
    2004
  • Journal title
    Archives of Medical Research
  • Record number

    1795295