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. Author manuscript; available in PMC: 2021 Jul 2.
Published in final edited form as: Eur Respir J. 2020 Jul 2;56(1):2000011. doi: 10.1183/13993003.00011-2020

Table 3.

Summary of fitted Generalized Additive Mixed Models that model longitudinal log fractional exhaled nitric oxide (logFENO50) trajectories as smooth functions of time-varying age and a time-constant covariate plus a participant-level random intercept and random slope on age.

Males (N=809)
Females (N=908)
Model Parameter* Regression coefficient** EDF p-value Regression coefficient** EDF p-value
Age only s(age) 5.6 <0.0001 5.1 <0.0001

Age and year 3 BMI % te(age, bmi %) 8.4 <0.0001 7.6 <0.0001

ti(age) 3.8 <0.0001 3.6 <0.0001
ti(bmi %) 1.0 0.02 1.0 0.43
ti(age, bmi %) 1.7 0.009 2.7 0.07

Age and race/ethnicity Intercept 2.55 <0.0001 2.49 <0.0001
White/non-Hispanic −0.07 0.11 −0.06 0.13
Other 0.16 0.02 0.07 0.21
s(age) 5.4 <0.0001 5.1 <0.0001
s(age:Hispanic) 1.6 0.13 0.5 0.23
s(age:White/non-Hisp) <0.1 0.31 <0.1 0.51
s(age:Other) <0.1 0.70 1.2 0.11

Age and ever reported allergic rhinitis at year 3 Intercept 2.50 <0.0001 2.45 <0.0001
Allergic Rhinitis 0.15 0.001 0.14 0.0005
Missing −0.01 0.83 −0.02 0.70
s(age) 5.5 <0.0001 5.0 <0.0001
s(age:None) <0.1 0.40 <0.1 0.62
s(age:AllergicRhinitis) 2.7 0.07 <0.1 0.51
s(age: Missing) 1.0 0.16 <0.1 0.74

Full model Intercept 2.52 <0.0001 2.46 <0.0001
White/non-Hispanic −0.10 0.02 −0.07 0.09
Other 0.13 0.07 0.05 0.35
Allergic Rhinitis 0.15 0.001 0.15 0.0004
Missing −0.02 0.79 −0.03 0.56
te(age, bmi %) 8.4 <0.0001 7.6 <0.0001

Intercept 2.52 <0.0001 2.46 <0.0001
White/non-Hispanic −0.10 0.02 −0.07 0.10
Other 0.13 0.07 0.05 0.35
Allergic Rhinitis 0.15 0.001 0.15 0.0004
Missing −0.02 0.79 −0.03 0.57
ti(age) 3.8 <0.0001 3.6 <0.0001
ti(bmi %) 1.0 0.01 1.0 0.40
ti(age, bmi %) 1.5 0.02 2.7 0.07
*

Smooth terms definitions: s(): penalized regression spline; ti():tensor product interaction; te():tensor product smooth.

**

For categorical variables; on logFENO50 scale

Effective degrees of freedom (EDF) for the smooth term; a value of 1 indicates a linear effect, higher values indicate a higher degree of non-linearity

k=5 specified in the s(age, by=race, m=1, k=5) term for improved model convergence