Table 1.
Significantly fitted predicator variables to vaginal metabolites.
| Variable | SS (trace) | Pseudo-F | p-value | Proportion (%) | Cumulative Proportion (%) |
|---|---|---|---|---|---|
| Individual model test | |||||
| CST | 3181.00 | 9.94 | 0.002 | 22.62 | NA |
| Smoking status | 880.65 | 2.27 | 0.074 | 6.26 | NA |
| Race | 1120.00 | 2.94 | 0.033 | 7.96 | NA |
| Education level | 1216.90 | 3.22 | 0.038 | 8.65 | NA |
| Fitted model with selected variables, adjusted R2 = 0.26 | |||||
| CST | 3181.00 | 9.94 | 0.001 | 22.62 | 22.62 |
| Race | 817.71 | 2.68 | 0.037 | 5.82 | 28.44 |
| Education level | 533.18 | 1.79 | 0.11 | 3.79 | 32.23 |
| Smoking status | 292.20 | 0.98 | 0.37 | 2.08 | 34.31 |
Distance based linear modelling (DISTLM) was performed on vaginal metabolites fitted with participant behavioral variables listed in Table 2. DISTLM was conducted with adjusted R2 over 9,999 permutations. DISTLM identifies the best-fit model based on all the available variables that best-explain the composition of vaginal metabolites. The visual display of these data as represented by the distance-based redundancy analysis (dbRDA) plot is displayed in Fig. 3.