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. Author manuscript; available in PMC: 2013 May 1.
Published in final edited form as: Sleep Med. 2012 Mar 18;13(5):476–483. doi: 10.1016/j.sleep.2011.12.007

Table 4.

Longitudinal Analyses: Multivariable analyses of the association between sleep disturbance at baseline and subsequent health outcomes

COPD Exacerbations* Respiratory-Related Emergency Utilization* All-Cause Mortality
OR (95% CI) p-value OR (95% CI) p-value HR (95% CI) p-value
Model 1: Controlling for Sociodemographics + BMI 4.7 (1.3 – 17) p = 0.018 11.5 (2.1 – 62) p = 0.004 5.0 (1.4 – 18) p = 0.013

Model 2: Model 1 + FEV1 6.3 (1.6 – 25) p = 0.008 15.2 (2.5 – 91) p = 0.003 9.5 (2.1 – 44) p = 0.004

Model 3: Model 1 + FEV1 + COPD Severity Score 4.0 (1.1 – 15) p = 0.042 9.7 (1.5 – 63) p = 0.017 8.8 (1.8 – 43) p = 0.007

All of the estimates (hazard ratio [HR] or odds ratio [OR]) presented above are for the association between sleep disturbance and a given health outcome (COPD exacerbations, or emergency utilization, all-cause mortality), with each of the 3 models controlling for an increasing number of covariates.

*

Analyses of COPD exacerbations and emergency utilization were multivariable logistic regressions in which the outcome was assessed one year after baseline. Emergency utilization is the combined end-point of either a hospitalization or ED visit.

Analyses of all-cause mortality were multivariable Cox regression analysis in which the outcome was assessed over a median 2.4 years of follow-up.

Model 1 controls for age, gender, race, marital status, educational attainment, and BMI

Model 2 controls for all variables in Model 1 + FEV1 (absolute)

Model 3 controls for all variables in Model 1 + FEV1 (absolute) + COPD Severity Score