Study objectives: To examine whether subtypes of continuous positive airway pressure (CPAP) user profiles could be identified, and to determine predictors of CPAP subgroup membership. Design: A retrospective, correlational approach was used. Subjects attended clinic where a CPAP download was performed and questionnaires were completed. Additional information was obtained from the electronic medical record. Setting: Miami VA Sleep Clinic. Participants: Obstructive sleep apnea patients (N = 207). Measurements: Three adherence variables comprised the profile: % of nights of CPAP use, % of nights of CPAP use > 4 hours and average nightly use in minutes. Predictors included age, AHI, time since CPAP therapy was initiated, CPAP pressure, residual AHI, BMI, social-cognitive variables, insomnia, sleepiness, and psychiatric and medical comorbidities. Results: Latent profile analysis was used to identify CPAP user profiles. Three subgroups were identified and labeled "Non-Adherers," "Attempters," and "Adherers". Non-Adherers (37.6% of the sample) used CPAP for an average of 37 minutes nightly, used CPAP 18.2% of nights and used CPAP > 4 hour 6.2 % of nights. Attempters (32.9%) used CPAP for 156 minutes on average, used CPAP 68.2% of nights and used CPAP > 4 hour 29.3% of nights. Adherers (29.5%) used CPAP for 392 minutes, used CPAP 95.4% of nights and used CPAP >4 hour 86.2% of nights. Self-efficacy, insomnia, AHI, time since CPAP was initiated, and CPAP pressure predicted CPAP subgroup membership. Conclusion: Sixty-seven percent of users (Non-Adherers, Attempters) had suboptimal adherence. Understanding CPAP use profiles and their predictors enable identification of those who may require additional intervention to improve adherence.
- Continuous positive airway pressure
- Latent profile analysis
- Obstructive sleep apnea
ASJC Scopus subject areas