Table 4.
Logistics regression estimating the odds of unhealthy SBs instigated by MR.
| SB variable due to MR | Odds ratio (Exp. β) | Str. Error | p-value |
|---|---|---|---|
| Pornography | |||
| Yes | RC | — | — |
| No | 1.078 | 0.220 | 0.733 |
| Nude pictures | |||
| Yes | RC | — | — |
| No | 0.820 | 0.218 | 0.363 |
| Sex chats | |||
| Yes | RC | — | — |
| No | 1.834 | 0.285 | 0.033** |
| Erotic movies | |||
| Yes | RC | — | — |
| No | 1.321 | 0.321 | 0.386 |
| Masturbation | |||
| Yes | RC | — | — |
| No | 1.012 | 0.292 | 0.967 |
| Rape | |||
| Yes | RC | — | — |
| No | 1.029 | 0.221 | 0.898 |
| Incest | |||
| Yes | RC | — | — |
| No | 0.846 | 0.225 | 0.456 |
| Self sex | |||
| Yes | RC | — | — |
| No | 0.755 | 0.222 | 0.205 |
| Log likelihood | 544.333 | ||
| R-squared | 0.023 | ||
| LR Chi-squared | 9.912 (df = 11) | ||
| Prob > Chi-squared | 0.000 | ||
Authors' own computation from the field survey, 2021; **p < 0.05.