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Diabetes and prediabetes prevail among obstructive sleep apnea (OSA) patients. OSA and short sleep both detrimentally affect glycemic control regardless of obesity. With 1 in 10 adults having diabetes, 1 in 10 with prediabetes, and an estimated 600,000 affected by OSA in Sweden, attaining glycemic control is crucial. Though continuous positive airway pressure (CPAP) is the most effective treatment for OSA, its application lacks personalization, ignoring factors like comorbidities and sleep duration. Key unanswered questions regarding CPAP's impact on glycemic control include: 1) Does high CPAP adherence optimize glycemic control? 2) Should short sleep be addressed alongside OSA treatment for glycemic control? 3) Does long-term diabetes hinder CPAP's glycemic control efficacy? The purpose of this project is to enable precision health in CPAP treatment and producing a personalized treatmen
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