Table 4.
Logistic regression equations predicting whether the potentially traumatic experience (PTE) met Criterion A2 in the sample of PTEs assessed in the WMH sample that satisfy all other criteria for a DSM-IV/CIDI diagnosis of PTSD
| Country income level |
||||||||
|---|---|---|---|---|---|---|---|---|
| All | High | Upper-middle | Low/Lower-middle | |||||
| OR | (95% CI) | OR | (95% CI) | OR | (95% CI) | OR | (95% CI) | |
| Sex | ||||||||
| Male | 5.1* | (1.6-16.5) | 8.4* | (2.1-33.8) | 0.8 | (0.1-4.9) | 12.1* | (1.1-129.4) |
| Female | 1.0 | -- | 1.0 | -- | 1.0 | -- | 1.0 | -- |
| χ 21 | 7.4* | 9.0* | 0.1 | 4.2* | ||||
| Age at trauma exposure | ||||||||
| 0-9 | 0.5 | (0.1-3.3) | 0.8 | (0.1-6.9) | 0.0 | (0.0-0.3) | --2 | -- |
| 10-19 | 0.7 | (0.1-5.0) | 0.9 | (0.1-9.6) | 0.4 | (0.0-6.5) | -- | -- |
| 20-29 | 0.5 | (0.1-3.7) | 0.6 | (0.1-6.8) | 0.1 | (0.0-0.9) | -- | -- |
| 30-39 | 1.7 | (0.3-12.0) | 1.2 | (0.1-21.8) | 1.0 | (0.1-13.6) | -- | -- |
| 40+ | 1.0 | -- | 1.0 | -- | 1.0 | -- | -- | -- |
| χ 2 4 | 1.9 | 0.4 | 8.9 | --2 | ||||
| History of prior (to age of PTE exposure) DSM-IV/CIDI disorders | ||||||||
| Yes | 0.2* | (0.1-1.0) | 0.2 | (0.0-1.5) | 0.4 | (0.0-3.4) | 0.3 | (0.1-1.1) |
| No | 1.0 | -- | 1.0 | -- | 1.0 | -- | 1.0 | -- |
| χ 2 1 | 4.0* | 2.4 | 0.8 | 3.1 | ||||
| History of prior (to age of occurrence of the random PTE) PTE exposure | ||||||||
| Yes | 0.8 | (0.2-2.9) | 1.0 | (0.2-5.8) | 0.5 | (0.1-2.4) | 1.1 | (0.1-9.1) |
| No | 1.0 | -- | 1.0 | -- | 1.0 | -- | 1.0 | -- |
| χ 2 1 | 0.2 | 0.0 | 0.9 | 0.0 | ||||
| (n) | (1,340)1 | (981)1 | (267)1 | (92)1 | ||||
Significant at the .05 level, two-sided test
The n’s reported here are the unweighted numbers of PTEs on which the regression equations are based. These include all PTEs in the representative sample of PTEs that were judged to meet all other DSM-IV/CIDI criteria for a diagnosis of PTSD in the presence or absence of A2. The outcome is whether or not the PTE met all other PTSD criteria but not A2.
The number of observed cases of PTSD without A2 in this sub-sample was too small to estimate the association with this polychotomous variable.