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Table 3 Multivariate analysis for disclosure and help seeking for NPSV survivors

From: Nowhere to go: disclosure and help-seeking behaviors for survivors of violence against women and girls in South Sudan

 

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)

  1. 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