Characteristics of Asthma and No Asthma groups.

<p>Characteristics of Asthma and No Asthma groups.</p

Sample characteristics.

<p>Sample characteristics.</p

Experimental design.

<p>We used longitudinally assessed measures of anxiety (STAI) and HRQoL (SF-36) for our analysis. The analytic strategy was hypothesis-driven and defined experimental groups of interest a priori. Pre-defined experimental groups included “presence of asthma” (AST +) versus “no asthma” (AST-) and “presence of depression” (Dep+) versus “no depression” (dep-). The impact of these dichotomies on the overall longitudinal level of outcome variables (“intercept”) and on their rate of change over time (“slope”) was assessed. Statistically, we used a linear growth modeling strategy.</p

Scatter plot of SF-36 mental subscale scores in all participants across pregnancy.

<p>The red line indicates the regression of mean scores over time. We detected a non-significant trend towards subtle improvement of SF-36 mental subscale scores over the course of pregnancy (β = 0.01, p = 0.06).</p

Linear growth model coefficients for longitudinal change on the SF-36 physical subscale.

<p>Linear growth model coefficients for longitudinal change on the SF-36 physical subscale.</p

Linear growth model coefficients for longitudinal change on the SF-36 mental subscale.

<p>Linear growth model coefficients for longitudinal change on the SF-36 mental subscale.</p

Scatterplot of SF-36 physical subscale scores in all participants across pregnancy.

<p>The red line indicates the regression of mean scores over time. Overall, SF-36 physical scores declined over the course of pregnancy (β = -0.04, p<0.001).</p

Linear growth model coefficients for longitudinal change on State-Trait Anxiety Inventory (STAI) scores.

<p>Linear growth model coefficients for longitudinal change on State-Trait Anxiety Inventory (STAI) scores.</p

Scatterplot of all participants’ STAI scores throughout pregnancy.

<p>The red line indicates the regression of mean scores over time. Statistically, STAI scores were stable over time for the overall cohort (β = 0.01, p = 0.18).</p

Receiver operating characteristics curve for LGA prediction models in the validation dataset.

<p>Model 1—clinical factors at 14–16 weeks; Model 2—clinical factors and candidate biomarkers at 14–16 weeks; Model 3—clinical factors and ultrasound at 14–16 and 19–21 weeks; Model 4—clinical factors, ultrasound and candidate biomarkers at 14–16 and 19–21 weeks; Model 5—full model including additional list of biomarkers.</p