Table 3.
Model 1: Multivariate analysis of factors associated with disclosure of NPSV | Model 2: Multivariate analysis of factors associated with help seeking after NPSV | |||
---|---|---|---|---|
Crude OR (95% CI) | aOR (95%CI) | Crude OR (95% CI) | aOR (95%CI) | |
Conflict-related Violence | ||||
Had a direct conflict experience | 1.7** (1.1–2.6) | 2.2** (1.3–3.7) | 3.7*** (2.2–6.2) | 3.1*** (1.7–5.9) |
Violence Disclosure Factors | ||||
Type of Violence | ||||
Other form of SV | 1 | 1 | 1 | 1 |
Raped | 1.1 (.7–1.5) | 1.1 (.8–1.5) | 1.1 (.7–1.6) | 0.9 (.6–1.4) |
Perpetrator of Violence | ||||
Other person | 1 | 1 | 1 | 1 |
Armed Actor/Police | 1.6 (1.0–2.6) | 1.9* (1.1–3.1) | 1.9* (1.1–3.2) | 1.4 (.8–2.5) |
Agreed that a woman is to blame if she is raped | .7 (.5–1.1) | 0.6* (.4–.9) | 1.4 (.9–2.3) | 1.1 (.7–1.9) |
Socio-demographics | ||||
Location | ||||
Juba | 1 | 1 | 1 | 1 |
Rumbek | 1.8* (1.1–3.2) | 1.6 (.8–3.0) | 3.6** (1.7–7.9) | 2.7* (1.1–6.8) |
Juba PoCs | 1.0 (.6–1.6) | 0.7 (.3–1.6) | 3.3** (1.5–7.7) | 2.1 (.7–6.9) |
Age | ||||
15–19 | 1 | 1 | 1 | 1 |
20–29 | 1.2 (.8–1.8) | 1.4 (.9–2.1) | 1.2 (.7–1.9) | 1.1 (.6–2.0) |
30–39 | 1.5 (1.0–2.3) | 1.7*(1.1–2.8) | 1.3 (.7–2.3) | 1.0 (.5–2.2) |
40–64 | 2.0* (1.1–3.4) | 2.1** (1.2–3.8) | 2.1* (1.2–.3.9) | 2.0 (1.0–4.0) |
Income | ||||
No income/humanitarian aid | 1 | 1 | 1 | 1 |
Own work | 1.9* (1.1–3.4) | 1.6 (.8–3.2) | .8 (.4–.1.5) | 0.7 (.3–1.5) |
Husband | 1.4 (.8–2.3) | 1.3 (.7–2.3) | .9 (.5–1.6) | 1.1 (.6–2.2) |
Other | 1.6 (1.0–2.6) | 1.8* (1.0–3.2) | .7 (.4–1.2) | 1.1 (.6–2.0) |
Employment Status | ||||
Not working | 1 | 1 | 1 | 1 |
Student | 1.1 (.7–1.8) | 1.2 (.7–2.2) | .6 (.3–1.1) | .6 (.3–1.1) |
Working | 1.5 (1.0–2.3) | 1.1 (.7–1.9) | 1.3 (.8–2.1) | 1.9* (1.1–3.2) |
Fuel Source | ||||
Leaves/grass/wood | 1 | 1 | 1 | 1 |
Charcoal | 1.2 (.8–1.8) | 1.6 (1.0–2.5) | 1.2 (.8–2.0) | 2.0* (1.1–3.6) |
Note: * p < 0.05, ** p < 0.01, *** p < 0.001; The final adjusted models were also controlled for the following socio-demographics which were not statistically significant in the final model: education, housing type and marital status. Standard errors were clustered at the boma/block level for all multivariate analysis