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Table 6 Univariate simple and multiple linear regression model examining the association between spirometric parameters and duration of workplace exposure (years) in agricultural workers (n = 288)

From: Chronic respiratory symptoms and pulmonary function status in Ethiopian agricultural workers: a comparative study

Parameters

Simple linear regression model

Multiple linear regression model

Beta coefficient

95% CI

p-value

Beta coefficient

95% CI

p- value

FVC (L)

−0.023

− 0.037, − 0.010

< 0.001*

−0.019

− 0.031, − 0.007

0.003*

FEV1 (L)

− 0.020

−0.031, − 0.009

< 0.001*

−0.020

− 0.030, − 0.010

<  0.001*

FEV1/ FVC (%)

−0.071

− 0.251, 0.110

0.442

− 0.165

−0.355, 0.024

0.087

FEF25%(L/s)

−0.033

−0.057, − 0.008

0.010*

−0.039

− 0.064, − 0.014

0.003*

FEF50%(L/s)

− 0.033

−0.052, − 0.014

0.001*

−0.037

− 0.056, − 0.017

<  0.001*

FEF75% (L/s)

−0.018

− 0.029, − 0.007

0.002*

−0.020

− 0.031, − 0.008

0.001*

FEF25–75% (L/s)

−0.028

− 0.045, − 0.011

0.002*

−0.032

− 0.049, − 0.014

<  0.001*

PEFR (L/s)

−0.025

− 0.050, 0.000

0.046*

− 0.031

−0.056, − 0.006

0.015*

  1. Note: CI Confidence interval for beta coefficient, FVC Forced vital capacity, FEV1 Forced Expiratory Volume in first second, FEF Forced expiratory flow, PEFR Peak Expiratory Flow Rate, L liter, S second, Numerical data in * indicates the level of significance (p < 0.05). A multiple regression model was controlled for sex, educational status and BMI. Age was not included in the model due to the issue of multicollinearity