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. 2019 May 14;19:148. doi: 10.1186/s12888-019-2136-1

Table 2.

Predicting the likelihood of PGD by sociodemographic and psychopathological factors: results of binary logistic regression analysis

Characteristic PGD No PGD LR (χ2) df p Nagelkerke R2
Country of origin 8.792 6 .186 .214
 Afghanistan 4 26
 Syria 0 27
 Iran 1 8
 Iraq 2 6
 Eritrea 1 4
 Somalia 0 2
 Other 0 2
 No 0 14
Education 4.414 6 .621 .128
 No education (did not attend school) 1 16
 Attended / graduated from school 4 32
 Started vocational training 0 3
 Finished vocational training 0 1
 Started / enrolled in university 2 5
 Graduated from university 0 5
 Started vocational training and university 0 1
Family status 14.147 6 .025* .368
 Single, no relationship 1 8
 Married and living together 3 59
 Married not living together 0 3
 In a relationship 0 2
 Divorced 1 1
 Widowed 1 0
 Partner disappeared, abducted 1 0
Having children 3.261 1 .071 .084
 Yes 8 58
 No 0 14
Religion 15.211 3 .002* .353
 Islam 3 65
 Other+ 1 9
 None (unaffiliated) 2 0
 Refused to answer 2 3
Duration since displacement (in months) 77.50 29.99 2.236 1 .135 .069
Duration since application for asylum (in months) 11.67 11.00 .076 1 .783 .002
Age (years) 27.00 29.49 .679 1 .410 .017
HSCL (mean) 2.900 2.416 3.054 1 .079 .077
SCL Somatization (mean) 3.094 2.248 5.589 1 .018* .139
Number of experienced trauma 9.250 4.935 5.596 1 .018* .137
Number of witnessed trauma 3.875 2.169 2.058 1 .151 .052

PGD Participants with PGD, no PGD Participants without PGD, LR Likelihood ratio. Categorical variables are reported as frequencies. Other metric data are reported as means. * p < .05 + various categories (e.g. Christian, Judaism, Hinduism etc.) were provided, but were summarize as ‘other’ since this category applied to a minority only