A. Full Dataset |
| Ā | ViSEN Analysis | Logistic Regression |
Variable 1 | Variable 2 | IG | p-value | OR | p-value |
Pre-natal Smoke Exposure | Socioeconomic Status | 2.78% | 0.001 | 0.105 | 0.004a |
Experience of Discrimination | Socioeconomic Status | 2.71% | 0.002a | 0.166 | 0.003a |
Sex | Socioeconomic Status | 1.47% | 0.026 | 0.291 | 0.031 |
B. Sex-Stratified Subsets |
| Ā | ViSEN Analysis | Logistic Regression |
Subset | Variable 1 | Variable 2 | IG | p-value | OR | p-value |
Female Nā=ā97 | Pre-natal Smoke Exposure | Socioeconomic Status | 7.27% | 0.004a | 0.054 | 0.033 |
Experience of Discrimination | Socioeconomic Status | 4.52% | 0.016 | 0.093 | 0.014 |
Male Nā=ā136 | Experience of Discrimination | Socioeconomic Status | 3.04% | 0.015 | 0.135 | 0.035 |
Pre-natal Smoke Exposure | Socioeconomic Status | 2.69% | 0.032 | 0.082 | 0.038 |
- Information Gain (IG) and unadjusted permutation p-value results for select interaction models (permutation unadj. pā<ā0.05) with BDR identified by the age adjusted ViSEN and logistic regression analyses. Positive IG values indicate synergistic interactions, negative IG values indicate redundant models. The Bonferroni method was used to correct for multiple testing. Bonferroni familywise error rate (FWER) thresholds of 0.05 and 0.1 were used to determine significantly associated models (permutation unadj. pāā¤ā0.002) and suggestively associated (permutation unadj. pāā¤ā0.004), respectively. Models significantly associated with BDR after correction for multiple testing are highlighted in BOLD. Models suggestively associated with BDR after correction for multiple testing are indicated with a. Logistic regression models were adjusted for age and the marginal effects of each independent variable included in the specified interaction model. SES: Socioeconomic Status; Smoking: Pre-natal smoke exposure; EOD: Experience of Discrimination; OR: Oddās Ratio
