Table 3.
Significance of each adversity item, correcting for multiple testing with false discovery rate method
| Rank of P value | Adversity variable of interest | Model | P value from analysis | BH correction | Accept as significant? |
| 1 | Cumulative lifespan | Unadj | 0.000 | 0.004 | Y |
| 2 | Social/traumatic adulthood | Unadj | 0.004 | 0.007 | Y |
| 3 | Cumulative childhood | Unadj | 0.008 | 0.011 | Y |
| 4 | Cumulative adulthood | Unadj | 0.008 | 0.014 | Y |
| 5 | Cumulative childhood | Adj | 0.012 | 0.018 | Y |
| 6 | Social/traumatic childhood | Adj | 0.015 | 0.021 | Y |
| 7 | Social/traumatic childhood | Unadj | 0.015 | 0.025 | Y |
| 8 | Cumulative lifespan | Adj | 0.02 | 0.029 | Y |
| 9 | Financial childhood | Unadj | 0.111 | 0.032 | N |
| 10 | Financial adulthood | Adj | 0.306 | 0.036 | N |
| 11 | Financial childhood | Adj | 0.307 | 0.039 | N |
| 12 | Financial adulthood | Unadj | 0.341 | 0.043 | N |
| 13 | Cumulative adulthood | Adj | 0.47 | 0.046 | N |
| 14 | Social/traumatic adulthood | Adj | 0.503 | 0.05 | N |
The Benjamini and Hochberg (BH) correction for the false-discovery rate requires listing the variables of interest within a set of analyses in rank order of their P value significance. To calculate the BH correction, each rank order of the P value is multiplied by 0.05 and divided by the number of variables of interest in the set of analyses. If the P value from the analysis is lower than the BH correction value, then the standard is to accept the rejection of the null hypothesis. Adj., adjusted; N, no; Unadj., unadjusted; Y, yes.