Table 2.

Multivariate logistic regression model for factors associated with new use of second generation antipsychotics associated with weight gain in bipolar disorders.

Factors	Odds Ratio (95% C.I.)	χ2	p value
Lithium use	0.2 (0.06–0.8)	5.46	0.02
Manic state	5.7 (1.7–19.5)	7.86	0.005
Married status	0.3 (0.09–0.8)	5.08	0.02
Psychosis	2.5 (1.2–5.5)	5.59	0.02

The above variables were included in the selected multivariate regression model. Additional variables considered for the model included age, diagnosis, depression, suicidal ideation, active substance abuse, white race, gender, insurance status, inpatient setting, valproic acid treatment, diagnosis or treatment for hypertension, diagnosis or treatment for diabetes, obesity, and weight/body mass index. CI = confidence interval.

The multivariate logistic regression equation was:

$$\text{logit}(\text{p})=-2.026-{1.570}^{\ast }\text{Lithium}+{1.749}^{\ast }\text{Mania}-{1.273}^{\ast }\text{Married}+{0.935}^{\ast }\text{Psychotic}$$

where a value of 1 indicates the presence and 0 indicates the absence of the dichotomous variable.