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Table 2 Adjusted estimates for percent predicted FEV1 and FVC associated with education level

From: Socioeconomic status is associated with reduced lung function in China: an analysis from a large cross-sectional study in Shanghai

   FEV1 % Predicted FVC % Predicted
Model Education Effect Estimate (95 % CI) Estimate P-value % explained Effect Estimate (95 % CI) Estimate P-value % explained
1: Adjusted for smoking Low −2.53 (−3.13, −1.94) <.01 24 % −7.29 (−7.88, −6.71) <.01 10 %
Intermediate −0.21 (−0.79, 0.37) 0.48 74 % −2.13 (−2.69, −1.57) <.01 22 %
High Reference .   Reference .  
Trend Test P-Value <.01    <.01   
2: Model 1 adjusted for SHS Low −2.59 (−3.20, −1.99) <.01 −2 % −7.37 (−7.96, −6.79) <.01 -1 %
Intermediate −0.27 (−0.85, 0.32) 0.37 −27 % −2.20 (−2.77, −1.64) <.01 −4 %
High Reference .   Reference .  
Trend Test P-Value <.01    <.01   
3: Model 1 adjusted for biomass Low −2.49 (−3.12, −1.87) <.01 2 % −6.31 (−6.92, −5.70) <.01 14 %
Intermediate −0.19 (−0.78, 0.40) 0.54 11 % −1.56 (−2.13, −0.99) <.01 27 %
High Reference .   Reference .  
Trend Test P-Value <.01    <.01   
4: Model adjusted for mode of transport Low −1.99 (−2.64, −1.33) <.01 22 % −5.36 (−5.99, −4.73) <.01 26 %
Intermediate −0.04 (−0.63, 0.55) 0.90 82 % −1.45 (−2.02, −0.88) <.01 32 %
High Reference .   Reference .  
Trend Test P-Value <.01    <.01   
5: Model 1 adjusted for low fruit/veg Low −2.29 (−2.89, −1.68) <.01 10 % −6.86 (−7.45, −6.28) <.01 6 %
Intermediate −0.11 (−0.69, 0.47) 0.70 45 % −1.96 (−2.53, −1.40) <.01 8 %
High Reference .   Reference .  
Trend Test P-Value <.01    <.01   
6: Model 1 adjusted for occupation Low −1.82 (−2.51, −1.13) <.01 28 % −4.05 (−4.72, −3.39) <.01 44 %
Intermediate 0.07 (−0.54, 0.67) 0.83 131 % −0.93 (−1.51, −0.35) <.01 56 %
High Reference .   Reference .  
Trend Test P-Value <.01    <.01   
7: All Covariates Low −1.55 (−2.27, −0.82) <.01 39 % −2.93 (−3.62, −2.24) <.01 60 %
Intermediate 0.09 (−0.53, 0.70) 0.78 142 % −0.52 (−1.11, 0.07) 0.08 76 %
High Reference .   Reference .  
Trend Test P-Value <.01    <.01   
  1. Percent explained is the equal to percent reduction in the effect estimate. Model 1 is compared to model 0, and models 2-7 are compared to model 1 (e.g. % explained for model 7 = [model 1 effect estimate – model 7 effect estimate]/model 1 effect estimate). Prediction equations are from an adult Chinese population [25]