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Table 1.

Demographic characteristics, stress biomarker concentrations and stress scores of study participants used for stress scoring analysis.

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Fig 1.

Biomarkers’ contribution to ordinal regression models.

Three acute stress biomarkers (epinephrine, cortisol, and noradrenaline) were used to predict a participant’s blood pressure category. Blood pressure was categorized into 3 classes: normal, at risk, and hypertensive and (B) 2 classes: normal and at risk and hypertensive participants combined. Each mediator’s contribution to the model was extracted and depicted as a percentage in the pie chart.

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Fig 2.

Stress outcomes by race, sex and smoking status.

Stress outcomes measured include (A-C) acute stress, (D-F) secondary mediator scores and (G-I) allostatic load. Groups were compared using T-tests. Significant differences are denoted as follows: Represents significance between groups (p < 0.1), * represents significance between groups (p < 0.05), ** represents significance between groups (p < 0.01), *** represents significance between groups (p < 0.001).

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Fig 2 Expand

Fig 3.

Stratified stress outcomes by race, sex and smoking status.

Stress outcomes measured include (A-C) acute stress, (D-F) secondary mediator scores and (G-I) allostatic load. Groups were compared using a two-way ANOVA test to obtain an overall p-value as depicted in the upper left- or right-hand corner of each plot. Pairwise t-tests were then run for post-hoc testing and include the following comparisons: Represents significance between groups (Padj < 0.1), * represents significance between groups (Padj < 0.05), ** represents significance between groups (Padj < 0.01), *** represents significance between groups (Padj < 0.001).

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Fig 3 Expand