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. Author manuscript; available in PMC: 2018 Sep 1.
Published in final edited form as: J Psychosom Res. 2017 Jul 8;100:35–45. doi: 10.1016/j.jpsychores.2017.07.004

Table 2.

Conditional logistic regression models examining associations among patients with serious mental illness and medical conditions compared to controls.

Disease/Condition Category Bipolar Schizophrenia


n = 20,308 n = 4,782


ORa 95% CI SE pb ORa 95% CI SE pb
Blood/Blood Forming Organs 2.21 2.02, 2.41 0.04 <.001 2.71 2.29, 3.21 0.08 <.001
Circulatory System 1.70 1.61, 1.79 0.02 <.001 1.86 1.68, 2.06 0.05 <.001
Digestive System 2.22 2.11, 2.34 0.02 <.001 2.19 1.99, 2.42 0.05 <.001
Endocrine/Immunity 2.34 2.22, 2.46 0.02 <.001 2.97 2.69, 3.28 0.05 <.001
Genitourinary 1.84 1.75, 1.93 0.02 <.001 1.59 1.44, 1.76 0.05 <.001
Infectious/Parasitic 1.78 1.68, 1.89 0.03 <.001 1.59 1.41, 1.79 0.06 <.001
Musculoskeletal 1.90 1.81, 1.98 0.02 <.001 1.07 0.98, 1.17 0.04 .127
Nervous System 1.94 1.85, 2.03 0.02 <.001 1.59 1.46, 1.74 0.04 <.001
Respiratory System 1.68 1.61, 1.76 0.02 <.001 1.50 1.34, 1.61 0.04 <.001

Note. All conditional logistic regression models adjusted for race/ethnicity and neighborhood income.

a

Reference group = Control patients. Patients with bipolar and schizophrenia were matched to control patients, one-to-one on gender, age, and medical home facility.

b

P-values were adjusted for multiple inference testing using the Hochberg25 method.