Table 4.

Adjusted logistic regression model of psychiatric disorder in relation to substance use disorder diagnosis among adults with a T2DM^a diagnosis

Psychiatric diagnosis	Overall n=16,243	Aged 18 to 35 n=1,586	Aged 36 to 50 n=4,016	Aged 51 to 64 n=5,638	Aged 65 and older n=5,003

	Adjusted OR (95% CI)
Schizophrenia or psychotic	2.975 (2.454–3.607)	3.774 (2.160–6.597)	2.735 (1.904–3.928)	4.496 (3.141–6.437)	1.993 (1.345–2.953)
Mood	2.229 (2.016–2.465)	2.546 (1.814–3.573)	3.052 (2.522–3.694)	2.084 (1.767–2.458)	1.638 (1.324–2.026)
Anxiety	1.857 (1.656–2.081)	1.977 (1.324–2.952)	1.960 (1.583–2.428)	1.638 (1.357–1.978)	1.974 (1.565–2.490)
Personality	3.649 (2.559–5.203)	7.836 (3.046–20.158)	3.726 (2.144–6.475)	2.571 (1.291–5.118)	2.031 (0.707–5.835)
Somatic	2.831 (1.707–4.694)	6.675 (1.666–26.750)	2.474 (1.134–5.400)	2.141 (0.864–5.306)	2.542 (0.529–12.212)
Disruptive behavioral	4.682 (2.033–10.782)	3.915 (0.803–19.075)	8.286 (2.097–32.739)	2.888 (0.505–16.512)	…….

Analysis sample: patients had a T2DM diagnosis.

Note: For all age category columns, the following model was used to calculate ORs and CIs: psychiatric condition as predicted by any substance use diagnosis, continuous age, sex, race, ethnicity, COPD, hypertensive disease, ischemic heart disease, renal disease, and log base 10 of the number of patient encounters. The race variable in the model consists of these collapsed values: black, white, and other. For the overall column, the same model as above was used to calculate ORs and CIs, with the addition of stratification by age category. All reported ORs are for the variable “any substance use diagnosis” (alcohol, tobacco, or drug use).

All abbreviations can be found in Table 1.