Psychometric Assessment of Anxiety Measures in a Pilot Study of African American Patients with Obstructive Sleep Apnea.

African American patient populations are disproportionately diagnosed with severe obstructive sleep apnea (OSA) compared to non-Hispanic white adults. Research suggests a link between OSA and anxiety. However, OSA and anxiety symptoms may present differently across minority groups. Research examining the reliability and validity of measures used to assess anxiety symptom severity in African American patient populations living with OSA is needed. This pilot study evaluated the reliability and validity of the Patient Reported Outcomes Measurement Information System (PROMIS) Anxiety short form and the longer State-Trait Anxiety Inventory-State (STAI-S) in a sample of African American adults recently diagnosed with OSA. In this cross-sectional pilot study, 32 African American patients newly diagnosed with OSA were recruited from an academic sleep medicine clinic in the Southeastern United States to complete survey measures. Participants completed the 6-item PROMIS Anxiety short form and 20-item STAI-S. Cronbach's alphas assessed the internal reliability of measures, and concurrent validity between measures was assessed using correlation coefficients (). Both PROMIS Anxiety and STAI-S showed excellent internal consistency with Cronbach's α ≥.90. The PROMIS Anxiety T-scores and STAI-S scores were positively moderately correlated with each other ( = .68;  < .0001), indicating concurrent validity. These results illustrate that both the PROMIS Anxiety and STAI-S scales have strong internal reliability in this sample of African American adults with co-occurring OSA and prediabetes. The brief PROMIS Anxiety short-form measure is validated to the longer STAI measure in this sample. An advantage of the PROMIS Anxiety scale is that it has a lower participant burden when completing questionnaires, contributing to a more refined approach to diagnosis and management when both OSA and anxiety coexist. These findings also underscore the importance of validating psychometric measures in marginalized populations, such as African Americans, who have historically been underrepresented in psychometric research.