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The correlations between lung function parameters (FEV1, MEF50, VC) and age, as well as lung function parameters and growth indices, were calculated.
No significant differences between lung function parameters were seen after exhaust exposures from DF or RME.
To examine the relationship between lung function parameters and impaired glucose metabolism, the subjects were divided into quartiles according to baseline %FVC and the FEV1/FVC ratio.
Univariate and multivariate linear regression analysis were performed to evaluate the relationship between lung function parameters (dependent variables) and the CT measurements (independent variables).
This finding may explain the controversy in the literature concerning the presence or absence of a correlation between lung function parameters and capnogram indices [ 11, 13, 15, 16].
Instead BMI was included into a set of potential confounders as the association between lung function parameters and overweight in children was confirmed by several studies [ 35– 35].
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The association between continuous lung function parameters and low parental education was not consistent across the countries (Fig. 1).
Pearson's correlation coefficients were calculated to examine the strength of association between the lung function parameters and the levels of serum factors.
The associations between these lung function parameters and levels of serum biomarkers (IL-1β, IL-8, IL-9, IL-13, IL-18, IL-18R, MCP-1, sICAM-1, MMP-9, TIMP-9, sCD40, and sCD40L) were analyzed in non-smoking coal workers with CWP and two matched control groups, asymptomatic miners and miners with minimal symptoms (group 0+).
Associations between exposures and lung function parameters were adjusted for individual confounders and same-day exposure to air pollutants.
In order to ensure the validity of the normalized ES measurements, correlation coefficients between ES and lung function parameters were calculated.
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