Prevalence and predictors for postpartum sleep disorders: a nationwide analysis.

ABSTRACT

OBJECTIVE: To describe the prevalence and predictors of postpartum sleep disorders. DESIGN: A retrospective cohort study. SETTING: Postpartum. POPULATION Commercially insured women delivering in California (USA) between 2011 and 2014. METHODS: Using the Optum Clinformatics Datamart Database. MAIN OUTCOME MEASURES: Prevalence of a postpartum sleep disorder diagnosis with and without a depression diagnosis up to 12 months following hospital discharge for inpatient delivery. We also identified predictors of a postpartum sleep disorder diagnosis using multivariable logistic regression. RESULTS: We identified 3535 (1.9%) women with a postpartum sleep disorder diagnosis. The prevalence of sleep disorder diagnoses was insomnia (1.3%), sleep apnea (0.25%), and other sleep disorder (0.25%). The odds of a postpartum sleep disorder were highest among women with a history of drug abuse (adjusted odds ratio (aOR) 2.70, 95% confidence interval (CI) 1.79-4.09); a stillbirth delivery (aOR 2.15, 95% CI 1.53-3.01); and chronic hypertension (aOR 1.82; 95% CI 1.57-2.11). A comorbid diagnosis of a postpartum sleep disorder and depression occurred in 1182 women (0.6%). These women accounted for 33.4% of all women with a postpartum sleep disorder. The strongest predictors of a comorbid diagnosis were a history of drug abuse (aOR 4.13; 95% CI 2.37-7.21) and a stillbirth delivery (aOR 2.93; 95% CI 1.74-4.92). CONCLUSIONS: Postpartum sleep disorders are underdiagnosed conditions, with only 2% of postpartum women in this cohort receiving a sleep diagnosis using International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes. Insomnia was the most common disorder and one-third of women diagnosed with a postpartum sleep disorder had a co-morbid diagnosis of depression. Future studies are needed to improve the screening and diagnostic accuracy of postpartum sleep disorders.