Skip to main content
. Author manuscript; available in PMC: 2015 Jan 1.
Published in final edited form as: J Urol. 2013 Jul 15;191(1):10.1016/j.juro.2013.07.011. doi: 10.1016/j.juro.2013.07.011

Figure 1. Multivariable Regression Models of Sleep Variables Predicting Incident Obstructive and Irritative LUTS Symptoms, BACH Survey (2002–2010).

Figure 1

Exposures (sleep) were assessed at baseline. Black boxes represent ORs obtained from multivariable logistic regression models with incident urologic symptoms[(a) obstructive symptoms; (b) irritative symptoms] predicted by the sleep exposure variable and controlling for age, sex, race, SES, diabetes, heart disease, alcohol use, physical activity, smoking, anti-depressant use, secondary sedation, and secondary stimulation. Grey boxes represent ORs obtained with further adjustment for BMI. Note: Multivariable logistic regression models for sleep restriction does not control for sex as this measure is collected only in men.