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. 2014 Nov 30;14:339. doi: 10.1186/s12888-014-0339-z

Table 2.

Results from GLM predicting SGA initiation

Variable Odds ratio 95% CI – lower 95% CI – upper p
Age (decade) 0.997 0.997 0.997 <.0001
Gender (female) 0.846 0.815 0.878 <.0001
≥ 50% disability status 0.740 0.717 0.763 <.0001
Marital status (married) 1.011 0.985 1.039 .4062
Race/ethnicity a
African American 1.068 1.024 1.114 .0021
Hispanic 0.989 0.901 1.087 .8222
Other race/ethnicity 1.096 0.964 1.246 .1614
Region b
Midwest 0.991 0.955 1.028 .6221
South 1.288 1.245 1.332 <.0001
West 0.919 0.886 0.953 <.0001
Clinical/treatment factors in prior year
Psychotic features 1.696 1.520 1.891 <.0001
Bipolar type I (versus type II/NOS)c 0.968 0.935 1.003 .0736
Antidepressant prescription 0.903 0.882 0.924 <.0001
Antimanic prescription 0.620 0.606 0.634 <.0001
Comorbidities in prior year
Diabetes 0.919 0.882 0.957 <.0001
Obesity 0.958 0.913 1.004 .0739
Hyperlipidemia 0.991 0.960 1.023 .5860
Substance abuse 0.965 0.933 0.999 .0407
Tobacco use disorder 1.065 1.030 1.103 .0003
Anxiety disorder 1.082 1.051 1.114 <.0001
Sleep disorder 1.555 1.435 1.685 <.0001
Cardiac dysrhythmia 1.096 0.999 1.202 .0520
Liver disorder 1.145 1.079 1.214 <.0001
Kidney disorder 1.187 1.069 1.318 .0014
Thyroid disorder 1.021 0.956 1.089 .5372
Traumatic brain injury 1.109 0.944 1.303 .2068
Change per year 0.988 0.982 0.993 <.0001

aComparison: White.

bComparison: Northeast.

cPatient was labeled as bipolar type I for a given month if at least 10% of bipolar encounters to date were for bipolar type I. See text for details.