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. 2019 Nov 2;29(8):1111–1123. doi: 10.1007/s00787-019-01428-z

Table 5.

Binary logistic regression predicting likelihood of undergoing a diagnostic adjustment

Odds ratio SE p Confidence interval (lower) Confidence interval (upper)
Demographics
Gender (female = 0) 0.972 0.083 0.741 0.823 1.149
Ethnicity (White/British = 0) 0.799 0.061 0.003** 0.689 0.927
Age at Index Diagnosis 1 0.974 0.012 0.035* 0.950 0.998
IMD at Index Diagnosis 1 (deciles) 1.026 0.014 0.055 0.999 1.053
Service use
Total time in SLaM (deciles) 1.487 0.034 0.000*** 1.422 1.555
Total contact days 1.010 0.001 0.000*** 1.008 1.012
Index 1 diagnosis (anxiety and stress-related disorders = 0)
Affective disorders 1.596 0.169 0.000*** 1.297 1.964
Pervasive developmental disorders 0.685 0.096 0.007** 0.521 0.900
Conduct and impulse disorders 1.361 0.177 0.018* 1.054 1.757
Hyperkinetic disorders 0.448 0.067 0.000*** 0.335 0.599
Eating disorders 2.379 0.585 0.000*** 1.470 3.851
Disorders of social functioning 2.079 0.551 0.006** 1.236 3.496
Schizophrenia and related disorders 0.384 0.164 0.025* 0.166 0.887
Personality disorders 0.186 0.152 0.039* 0.037 0.922
Gender identity disorders 2.097 1.524 0.308 0.505 8.713
Mental health
CGAS 1.001 0.004 0.678 0.994 1.009
SDQ emotional 1.020 0.015 0.182 0.991 1.051
SDQ conduct 0.977 0.019 0.222 0.941 1.014
SDQ hyperactivity 1.047 0.018 0.009** 1.011 1.083
SDQ peer problems 1.033 0.018 0.063 0.998 1.070
SDQ prosocial 0.966 0.017 0.051 0.933 1.000
Constant 0.016 0.006 0.000*** 0.007 0.033
Model χ2 935.87***
Pseudo R2 0.172
N 4933

*p < 0.05

**p < 0.01

***p < 0.001