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Dataset Information

Development and validation of predictive equations for spirometry in Portuguese children.


ABSTRACT:

Background

There are no data on lung function reference values for Portuguese children, and the contribution from the Portuguese data set in the Global Lung Function Initiative (GLI) is scant.

Objectives

We aimed to estimate new up-to-date reference values for Portuguese children by fitting a multivariable regression model to a general population sample. Further, we intended to assess the external validity of the obtained reference values and to compare them to the GLI reference values.

Methods

A random sample of 858 children from 20 primary schools were screened by health questionnaire, physical examination, and spirometry. Spirometric parameters recorded were FVC, FEV1, and FEF25-75. Multiple regression models were used to derive reference equa

SUBMITTER: Martins C 

PROVIDER: S-EPMC10509892 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature