| Literature DB >> 35291976 |
Yuriy Nesterko1, Elisa Haase2, Antje Schönfelder2, Heide Glaesmer2.
Abstract
BACKGROUND: Refugees are considered a high-risk population for developing mental health disorders. Yet little research has been conducted on suicidal ideation among refugees resettled in Western high-income countries. In the present hstudy, suicidal ideation and its association with different socio-demographic, flight-related, and mental health-related factors were analyzed in recently arrived refugees in Germany.Entities:
Keywords: Mental health; Refugees; Suicidal ideation; Traumatic experiences
Mesh:
Year: 2022 PMID: 35291976 PMCID: PMC8922739 DOI: 10.1186/s12888-022-03844-z
Source DB: PubMed Journal: BMC Psychiatry ISSN: 1471-244X Impact factor: 3.630
Fig. 1Suicidal ideation among newly arrived refugees in Germany within the last two week
Sociodemographic and flight-related characteristics of the study sample
| Participants with suicidal ideation | Participants without suicidal ideation | Total | ||
|---|---|---|---|---|
| M/SD/Range | 28.40/8.00/18–61 | 30.76/9.32/18–70 | 30.04/9.00/18–70 | |
18–29 years 30–39 years 40–49 years > 50 years | 116 (67.8%) 40 (23.4%) 11 (6.4%) 4 (2.3%) | 209 (53.2%) 121 (30.8%) 40 (10.2%) 23 (5.9%) | 325 (57.6%) 161 (28.5%) 51 (9.1%) 27 (4.8%) | |
female male | 53 (31%) 118 (69%) | 120 (30.5%) 273 (69.5%) | .012 | 171 (30.3%) 393 (69.7%) |
Cameroon Eritrea Iraq Libya Nigeria Syria Turkey Venezuela othera | 31 (18.1%) 10 (5.8%) 12 (7%) 11 (6.4%) 17 (9.9%) 8 (4.7%) 10 (5.8%) 12 (7%) 60 (35.1%) | 61 (15.5%) 39 (9.9%) 15 (3.8%) 13 (3.3%) 20 (5.1%) 47 (12%) 43 (11%) 73 (18.6%) 82 (20.8%) | 92 (16.3%) 49 (8.7%) 27 (4.8%) 24 (4.3%) 37 (6.6%) 55 (9.8%) 53 (9.3%) 85 (15.1%) 142 (25.1%) | |
yes no | 69 (40.6%) 101 (59.4%) | 207 (52.9%) 184 (47.1%) | 276 (49.2%) 285 (50.8%) | |
single married divorced widowed | 111 (64.9%) 46 (26.9%) 8 (4.7%) 6 (3.5%) | 211 (53.7%) 156 (39.7%) 21 (5.3%) 5 (1.3%) | 322 (57.1%) 202 (35.8%) 29 (5.1%) 11 (2.0%) | |
yes no | 50 (29.2%) 121 (70.8%) | 161 (41%) 232 (59%) | 211 (37.4%) 353 (62.6%) | |
yes no | 62 (36.3%) 109 (63.7%) | 159 (40.5%) 234 (59.5%) | .882 | 221 (39.2%) 343 (60.8%) |
alone strangers friends family members | 81 (47.4%) 43 (25.1%) 16 (9.4%) 31 (18.1%) | 170 (43.3%) 97 (24.7%) 40 (10.2%) 86 (21.9%) | 1.353 | 251 (44.5%) 140 (24.8%) 56 (9.9%) 117 (20.7%) |
yes no | 76 (44.4%) 95 (55.6%) | 234 (59.5%) 159 (40.5%) | 310 (55%) 254 (45%) | |
| M/SD/Range | 2.53/4.04/0–27 | 1.65/2.51/0–24 | 1.91/3.06/0–27 |
*p < .05; **p < .01; ***p < .001; 1N = 561; 2N = 540; a Country of origin other (N for total): Afghanistan (11), Algeria (4), Armenia (3), Belarus (1), Colombia (1) Ethiopia (19), Ghana (3), Georgia (9), Greece (2), India (2), Iran (7), Jordan (2), Kosovo (1), Kuwait (1), Lebanon (7), Liberia (1), Morocco (4), Myanmar (3), Palestine (13), Pakistan (7), Russian Federation (12), Senegal (2), Somalia (7), Sri Lanka (1), Tunisia (7), Ukraine (1), stateless (11)
Prevalence of somatic symptoms, symptoms of depression, and symptoms of PTSD as well as self-rated mental and physical health status, experiences of sexual violence, combat or exposure to a war-zone and captivity in recently arrived refugees in Germany stratified by suicidal ideation
| Participants with suicidal ideation | Participants without suicidal ideation | Total | ||
|---|---|---|---|---|
| SSS-8 cut off > 11 | 84/168 (50%) | 89/389 (22.9%) | 173/557 (31.1%) | |
| PHQ-8 cut off > 9 | 121/170 (70.8%) | 100/393 (25.4%) | 221/563 (39.3%) | |
| PCL-5 cut-off > 32 | 110/167 (65.9%) | 88/388 (22.4%) | 198/555 (35.7%) | |
| 87/170 (51.2%) | 117/390 (30%) | 204/560 (36.4%) | ||
| 59/171 (34.5%) | 117/393 (29.8%) | 1.243 | 176/564 (31.2%) | |
| 75/171 (43.9%) | 144/393 (36.6%) | 2.614 | 219/564 (38.8%) | |
| range 0–100 | 28.22 / 30.72 | 53.86 / 33.29 | 46.08 / 34.58 | |
| range 0–100 | 40.29 / 32.67 | 62.29 / 31.49 | 55.61 / 33.40 |
*p < .001
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 | |
|---|---|---|---|
| Age1 | . | ||
| 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 | |||
| Experiences of sexual violence5 | |||
| 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 | |||
| Symptoms of depression8 | |||
| Self-rated physical health9 | .998 | .989–1.008 | .752 |
| Self-rated mental health9 | .990 | .980–1.000 | .056 |
| Model fit indices: | |||
−2 Log-Likelihood | 194.309 / 14 / < .001 435.823 | ||
| Nagelkerkes | .312 | ||
| Cox & Snell | .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