Table 3.

Logistic regression model for the association of suicidal ideation with different socio-demographic and flight-related characteristic as well as mental health outcomes in recently arrived refugees in Germany

Predictor	OR	95% CI	p
Age1	.616	.440–.863	.005
Sex2	1.345	.763–2.371	.305
University degree3	1.410	.862–2.304	.171
Partnership3	1.112	.673–1.838	.679
Current information about family members left behind3	.855	.522–1.402	.535
Flight duration4	1.095	1.014–1.182	.020
Experiences of sexual violence5	2.253	1.355–3.748	.002
Combat or exposure to a war-zone5	1.009	.588–1.732	.975
Captivity5	.707	.413–1.209	.205
Somatoform symptoms6	1.020	.977–1.064	.377
PTSD symptoms7	1.143	1.009–1.041	.002
Symptoms of depression8	1.025	1.074–1.216	< .001
Self-rated physical health9	.998	.989–1.008	.752
Self-rated mental health9	.990	.980–1.000	.056
Model fit indices:
χ2 / df / p −2 Log-Likelihood	194.309 / 14 / < .001 435.823
Nagelkerkes R2	.312
Cox & Snell R2	.444

¹in 4 groups according to Table 1; ²female = 1, male = 2; ³yes = 1, no = 2; ⁴range 0–27; ⁵no = 0, yes = 1; ⁶Total score of SSS-8; ⁷Total score of PCL-5; ⁸Total score of PHQ-8; ⁹range 0–100